diff --git a/docker/Dockerfile b/docker/Dockerfile index 245713dca6..fd597316af 100644 --- a/docker/Dockerfile +++ b/docker/Dockerfile @@ -106,6 +106,15 @@ RUN export MAX_JOBS=$(( $(nproc) > 16 ? 16 : $(nproc) )) && \ echo "ERROR: GHSA-72hv-8253-57qq not fixed — ray_dist.jar still present after deletion" && exit 1; \ fi +# Ray nightly wheels omit the prebuilt dashboard frontend (client/build is an npm artifact), +# so the dashboard process dies with FrontendNotFoundError and its HTTP/API server never +# registers — which breaks every ray.util.state call (cosmos-xenna uses it to drive the +# pipeline, failing with "Could not read 'dashboard' from GCS"). Stub the build dir so the +# dashboard + API server start (the web UI itself is unused). No-op on stable wheels that +# already ship client/build. Remove once the nightly wheel bundles the frontend. +# Kept as its own layer so it does not invalidate the expensive uv sync layer above. +RUN mkdir -p /opt/venv/lib/python3.13/site-packages/ray/dashboard/client/build/static + # Patch wandb-core: bump google.golang.org/grpc from 1.79.2 to 1.79.3 (CVE fix) ARG TARGETARCH RUN if python3 -c "import wandb" 2>/dev/null; then \ diff --git a/docker/Dockerfile_inference b/docker/Dockerfile_inference new file mode 100644 index 0000000000..ad4b1291d6 --- /dev/null +++ b/docker/Dockerfile_inference @@ -0,0 +1,126 @@ +# Copyright (c) 2026, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +ARG CUDA_VER=12.9.1 +ARG LINUX_VER=ubuntu24.04 + +FROM nvidia/cuda:${CUDA_VER}-cudnn-devel-${LINUX_VER} AS cuda + + +######################################################################## +# Base image +######################################################################## + +FROM cuda AS build + +ARG CURATOR_ENV=ci +ENV CURATOR_ENVIRONMENT=${CURATOR_ENV} + +ENV NVIDIA_PRODUCT_NAME="NeMo Curator Inference Nightly" + +ENV PIP_BREAK_SYSTEM_PACKAGES=1 +ENV DEBIAN_FRONTEND=noninteractive +RUN apt-get update && apt-get install -y --no-install-recommends \ + ca-certificates \ + software-properties-common \ + curl \ + git \ + vim && \ + add-apt-repository -y ppa:deadsnakes/ppa && \ + apt-get update && apt-get install -y --no-install-recommends \ + python3.13 \ + python3.13-dev \ + python3.13-venv \ + python-is-python3 && \ + apt-get install -y --only-upgrade gnupg && \ + apt-get clean && \ + rm -rf /var/lib/apt/lists/* + +WORKDIR /opt + +RUN curl -LsSf https://astral.sh/uv/install.sh | sh +ENV PATH="/root/.local/bin:$PATH" +ENV UV_PROJECT_ENVIRONMENT=/opt/venv +ENV UV_CACHE_DIR=/opt/uv_cache +ENV PATH="$UV_PROJECT_ENVIRONMENT/bin:$PATH" +ENV UV_LINK_MODE=copy +RUN uv venv ${UV_PROJECT_ENVIRONMENT} --python /usr/bin/python3.13 --system-site-packages --seed + + +######################################################################## +# Focused inference image +######################################################################## + +FROM build AS nemo_curator_inference + +WORKDIR /opt + +# Required by the Dynamo inference backend. +COPY docker/common/install_etcd_nats.sh . +RUN bash install_etcd_nats.sh && \ + rm install_etcd_nats.sh + +# Required by Ray Serve HAProxy ingress mode. +COPY docker/common/install_haproxy.sh . +RUN bash install_haproxy.sh && \ + rm install_haproxy.sh +ENV RAY_SERVE_HAPROXY_BINARY_PATH=/usr/local/bin/haproxy + +ARG CURATOR_EXTRAS="inference_server interleaved_cpu text_cpu" +ARG CURATOR_GROUPS="--no-default-groups" +WORKDIR /opt/Curator + +COPY pyproject.toml uv.lock /opt/Curator/ +COPY nemo_curator/__init__.py nemo_curator/package_info.py /opt/Curator/nemo_curator/ + +# Install only the Curator dependency surface needed for inference plus CPU text/interleaved workflows. +RUN set -eux; \ + extras_args=""; \ + for extra in ${CURATOR_EXTRAS}; do \ + extras_args="${extras_args} --extra ${extra}"; \ + done; \ + uv sync --link-mode copy --locked ${extras_args} ${CURATOR_GROUPS} --no-cache + +# Keep the image dependency graph owned by pyproject.toml/uv.lock. This cleanup is +# intentionally post-sync hygiene only; it must not install or upgrade packages. +RUN set -eux; \ + find /opt/venv -type d -path "*ray/_private/runtime_env/agent/thirdparty_files/aiohttp*" -exec rm -rf {} +; \ + find /opt/venv -name "ray_dist.jar" -delete; \ + if find /opt/venv -name "ray_dist.jar" | grep -q .; then \ + echo "ERROR: GHSA-72hv-8253-57qq not fixed - ray_dist.jar still present after deletion" && exit 1; \ + fi + +COPY . /opt/Curator + +COPY <} +LABEL com.nvidia.build.id="${NVIDIA_BUILD_ID}" +ARG NVIDIA_BUILD_REF +LABEL com.nvidia.build.ref="${NVIDIA_BUILD_REF}" diff --git a/nemo_curator/core/serve/dynamo/vllm.py b/nemo_curator/core/serve/dynamo/vllm.py index f6bfcae1e3..b2af5a356c 100644 --- a/nemo_curator/core/serve/dynamo/vllm.py +++ b/nemo_curator/core/serve/dynamo/vllm.py @@ -16,6 +16,7 @@ from __future__ import annotations +import importlib.metadata import json import tempfile from functools import reduce @@ -24,6 +25,7 @@ import ray from loguru import logger +from packaging.requirements import Requirement from nemo_curator.core.serve.base import BaseModelConfig from nemo_curator.core.serve.dynamo.infra import ( @@ -50,19 +52,82 @@ from nemo_curator.core.serve.placement import ReplicaBundleSpec -# ai-dynamo[vllm]'s [vllm] extra carries a hard ray pin, but Ray refuses -# actor venvs whose ray version differs from the cluster head's. uv has no -# inline override syntax — only ``--override `` — so we materialize a -# tiny constraints file at a fixed path on every node via -# ``ensure_actor_overrides_on_all_nodes``; the content is derived from the -# driver's ``ray.__version__`` at fan-out time so a future Curator ray bump -# doesn't need a code change here. +# The actor venv ``uv pip install`` needs overrides that pyproject's ``[tool.uv]`` +# can't reach (Ray runs it in an empty cwd). uv has no inline override syntax — +# only ``--override `` — so we materialize a constraints file at a fixed path +# on every node via ``ensure_actor_overrides_on_all_nodes``. It carries: +# * ``ray==`` — ai-dynamo[vllm]'s [vllm] extra has a hard ray pin, +# but Ray refuses actor venvs whose ray differs from the cluster head's. Derived +# from the driver's ``ray.__version__`` so a future Curator ray bump needs no edit. +# * ``nixl-cu13`` dropped — ai-dynamo[vllm] pulls the CUDA-13 NIXL backend, whose +# eagerly-imported ``nixl_ep_cpp.so`` dlopens libcudart.so.13 (absent on this +# CUDA-12.9 image). The base image excludes it via pyproject, but that override +# doesn't reach this standalone install; re-apply it here so the cu12 backend wins. _ACTOR_VENV_OVERRIDES_PATH = Path(tempfile.gettempdir()) / "nemo_curator_dynamo_actor_overrides.txt" +_ACTOR_VENV_NIXL_CU13_EXCLUSION = "nixl-cu13 ; sys_platform == 'never'" + + +def _vllm_cu129_index_url() -> str | None: + """The vLLM cu129 wheel index for the exact version ai-dynamo[vllm] pins. + + ai-dynamo's [vllm] extra pins an exact vllm (e.g. ``==0.22.1``) that may + differ from Curator's base vllm — the base installs ai-dynamo WITHOUT its + [vllm] extra, so its vllm comes from Curator's own pin, while the actor + venv installs ``ai-dynamo[vllm]`` and must honor ai-dynamo's pin. vLLM + publishes a per-version cu129 wheel index at ``wheels.vllm.ai//cu129``; + pointing at the pinned version means its ``+cu129`` local build sorts above + the default cu130 wheel under unsafe-best-match. Derived from ai-dynamo's + own metadata so a nightly bump (which changes the vllm pin) needs no edit. + + Returns None if ai-dynamo (or its vllm pin) can't be found — only happens + when the dynamo backend isn't actually installed, where this is unused. + """ + try: + requirements = importlib.metadata.requires("ai-dynamo") or [] + except importlib.metadata.PackageNotFoundError: + return None + for raw in requirements: + req = Requirement(raw) + if req.name == "vllm": + pinned = next((spec.version for spec in req.specifier if spec.operator in ("==", "===")), None) + if pinned: + return f"https://wheels.vllm.ai/{pinned}/cu129" + return None + + +# Ray builds the actor venv with a bare ``uv pip install`` in an empty cwd, so it +# inherits none of the project's ``[tool.uv]`` index/source/prerelease config — only +# what we pass here. The venv is cloned from the base image, so flags matter only when +# uv fetches or upgrades a dep (e.g. ai-dynamo[vllm] pins a newer vllm than the base). +# Force CUDA 12.9 the way vLLM documents for uv: +# * ``--torch-backend cu129`` routes the torch ecosystem to the cu129 PyTorch index. +# * ``unsafe-best-match`` is REQUIRED so nixl resolves — its needed version is split +# across pypi.nvidia.com and PyPI, which the default first-match strategy can't +# combine. The catch: best-match maximizes version globally and ``+cu130`` sorts +# above ``+cu129`` (PEP 440 local order), so it would grab the cu130 vllm whose +# ``vllm._C`` dlopens libcudart.so.13. We counter that by adding the cu129 wheel +# index for the EXACT vllm version ai-dynamo pins, so ``+cu129`` is the highest +# local build of that version and wins. (No fixed version baked in — see above.) +_ACTOR_VENV_EXTRA_INDEX_URLS = tuple( + url for url in ("https://pypi.nvidia.com", _vllm_cu129_index_url()) if url is not None +) +_ACTOR_VENV_UV_OPTIONS = [ + "--override", + str(_ACTOR_VENV_OVERRIDES_PATH), + "--torch-backend", + "cu129", + "--index-strategy", + "unsafe-best-match", + "--prerelease", + "if-necessary-or-explicit", +] +for _extra_index_url in _ACTOR_VENV_EXTRA_INDEX_URLS: + _ACTOR_VENV_UV_OPTIONS += ["--extra-index-url", _extra_index_url] DYNAMO_VLLM_RUNTIME_ENV: dict[str, Any] = { "uv": { "packages": ["ai-dynamo[vllm]"], - "uv_pip_install_options": ["--override", str(_ACTOR_VENV_OVERRIDES_PATH)], + "uv_pip_install_options": _ACTOR_VENV_UV_OPTIONS, }, "config": {"setup_timeout_seconds": 600}, } @@ -78,7 +143,8 @@ def ensure_actor_overrides_on_all_nodes(*, ignore_head_node: bool = False) -> No The file pins ``ray=={ray.__version__}`` (read from the driver) so the actor venv keeps the same ray patch as the cluster head — Ray rejects - any mismatch. + any mismatch — and drops ``nixl-cu13`` so the cu12 NIXL backend is used + (see module comment on :data:`_ACTOR_VENV_OVERRIDES_PATH`). Must run inside an active Ray context, before any worker spawned with :data:`DYNAMO_VLLM_RUNTIME_ENV` lands. The runtime_env_agent on each @@ -91,7 +157,7 @@ def ensure_actor_overrides_on_all_nodes(*, ignore_head_node: bool = False) -> No run_on_each_node( _write_actor_overrides_file, str(_ACTOR_VENV_OVERRIDES_PATH), - f"ray=={ray.__version__}\n", + f"ray=={ray.__version__}\n{_ACTOR_VENV_NIXL_CU13_EXCLUSION}\n", ignore_head_node=ignore_head_node, ) diff --git a/nemo_curator/stages/deduplication/fuzzy/connected_components.py b/nemo_curator/stages/deduplication/fuzzy/connected_components.py index 185a084d60..1ebda48b58 100644 --- a/nemo_curator/stages/deduplication/fuzzy/connected_components.py +++ b/nemo_curator/stages/deduplication/fuzzy/connected_components.py @@ -135,7 +135,12 @@ def weakly_connected_components(self, df: cudf.DataFrame, src_col: str, dst_col: edge_type_array=None, num_arrays=1, store_transposed=False, - symmetrize=False, + # The dedup edge list (from buckets_to_edges) is one-directional while + # graph_properties declares is_symmetric=True. cugraph 26.08 honors symmetrize + # literally, so symmetrize=False left reverse edges absent and dropped borderline + # undirected connections (missed duplicate groups). Symmetrize to match the + # declared undirected graph; drop_multi_edges=True dedupes any now-duplicate edges. + symmetrize=True, do_expensive_check=False, drop_multi_edges=True, ) diff --git a/nemo_curator/stages/deduplication/fuzzy/lsh/lsh.py b/nemo_curator/stages/deduplication/fuzzy/lsh/lsh.py index 257e37336e..a0d1093153 100644 --- a/nemo_curator/stages/deduplication/fuzzy/lsh/lsh.py +++ b/nemo_curator/stages/deduplication/fuzzy/lsh/lsh.py @@ -19,11 +19,15 @@ import cudf from loguru import logger -from rapidsmpf.utils.cudf import pylibcudf_to_cudf_dataframe from nemo_curator.stages.deduplication.fuzzy.utils import CURATOR_DEFAULT_MINHASH_FIELD, CURATOR_LSH_BUCKET_FIELD from nemo_curator.stages.deduplication.id_generator import CURATOR_DEDUP_ID_STR -from nemo_curator.stages.deduplication.shuffle_utils.rapidsmpf_shuffler import BulkRapidsMPFShuffler + +# rapidsmpf 26.08 removed rapidsmpf.utils.cudf; pylibcudf_to_cudf_dataframe is re-exported by the shuffler module. +from nemo_curator.stages.deduplication.shuffle_utils.rapidsmpf_shuffler import ( + BulkRapidsMPFShuffler, + pylibcudf_to_cudf_dataframe, +) if TYPE_CHECKING: from collections.abc import Iterator diff --git a/nemo_curator/stages/deduplication/semantic/kmeans.py b/nemo_curator/stages/deduplication/semantic/kmeans.py index 9453853b8c..a4669f5cac 100644 --- a/nemo_curator/stages/deduplication/semantic/kmeans.py +++ b/nemo_curator/stages/deduplication/semantic/kmeans.py @@ -208,7 +208,10 @@ def _process_batch_single_pass(self, tasks: list[FileGroupTask], groups: list[li # Fit the model cooperatively across actors, then predict on local data concatenated_embeddings = cp.concatenate(embeddings_arrays, axis=0) - self.kmeans._fit(concatenated_embeddings, sample_weight=None, convert_dtype=False, multigpu=True) + # cuml 26.08: the cooperative multi-GPU fit is KMeansMG.fit() — the private + # _fit(multigpu=True) entrypoint was removed. KMeansMG carries _multi_gpu=True, + # so fit() dispatches to the multi-GPU C++ impl using the RAFT comms handle. + self.kmeans.fit(concatenated_embeddings, sample_weight=None, convert_dtype=False) if self.cache_path is not None and getattr(self, "_actor_index", 0) == 0: os.makedirs(self.cache_path, exist_ok=True) @@ -350,7 +353,8 @@ def _fit_pass(self, groups: list[list[str]]) -> float: f"(fit_data_fraction={fraction:.4f}, {len(fit_files)}/{len(all_files)} files)" ) - self.kmeans._fit(concatenated_samples, sample_weight=None, convert_dtype=False, multigpu=True) + # cuml 26.08: cooperative multi-GPU fit via KMeansMG.fit() (see setup()). + self.kmeans.fit(concatenated_samples, sample_weight=None, convert_dtype=False) del concatenated_samples gc.collect() # Stop the fit-time clock before centroid I/O so the metric isn't skewed @@ -425,7 +429,11 @@ def _predict_write_pass( return results, pass2_read_time, total_rows def setup(self, _: WorkerMetadata | None = None) -> None: - from cuml.cluster.kmeans import KMeans as cumlKMeans + # cuml 26.08: the single-GPU KMeans no longer accepts a ``handle`` and the + # private multi-GPU ``_fit(multigpu=True)`` entrypoint was removed. The + # multi-node/multi-GPU estimator is KMeansMG, constructed with the RAFT comms + # handle; its fit() does the cooperative fit (see _process_batch_single_pass). + from cuml.cluster.kmeans_mg import KMeansMG as cumlKMeans if not hasattr(self, "_raft_handle"): msg = "RAFT handle not found. Make sure the stage is initialized with RAFT" diff --git a/nemo_curator/stages/deduplication/shuffle_utils/rapidsmpf_shuffler.py b/nemo_curator/stages/deduplication/shuffle_utils/rapidsmpf_shuffler.py index 6b8a801c49..0bbcebed36 100644 --- a/nemo_curator/stages/deduplication/shuffle_utils/rapidsmpf_shuffler.py +++ b/nemo_curator/stages/deduplication/shuffle_utils/rapidsmpf_shuffler.py @@ -17,30 +17,51 @@ from typing import TYPE_CHECKING, Any, Literal import cudf +import pylibcudf as plc import rmm.mr -from rapidsmpf.buffer.buffer import MemoryType -from rapidsmpf.buffer.resource import BufferResource, LimitAvailableMemory -from rapidsmpf.integrations.cudf.partition import ( - partition_and_pack, - unpack_and_concat, - unspill_partitions, -) + +# rapidsmpf 26.08 reorganized its API: +# * partition_and_pack/unpack_and_concat moved out of rapidsmpf into the cudf-streaming package +# * MemoryType/BufferResource/unspill_partitions moved under rapidsmpf.memory.* +# (LimitAvailableMemory removed — BufferResource now takes plain int byte limits) +# * BaseShufflingActor (+ create_shuffler) replaced by rapidsmpf.integrations.ray.RapidsMPFActor +# * rapidsmpf.utils.cudf removed — the cudf<->pylibcudf helpers are inlined below +from cudf_streaming.integrations.partition import partition_and_pack, unpack_and_concat +from rapidsmpf.integrations.ray import RapidsMPFActor +from rapidsmpf.memory.buffer import MemoryType +from rapidsmpf.memory.buffer_resource import BufferResource +from rapidsmpf.memory.spill import unspill_partitions from rapidsmpf.rmm_resource_adaptor import RmmResourceAdaptor +from rapidsmpf.shuffler import Shuffler from rapidsmpf.statistics import Statistics -from rapidsmpf.utils.cudf import cudf_to_pylibcudf_table, pylibcudf_to_cudf_dataframe -from rapidsmpf.utils.ray_utils import BaseShufflingActor from nemo_curator.stages.deduplication.gpu_utils import align_down_to_256, get_device_free_memory if TYPE_CHECKING: from collections.abc import Iterator - import pylibcudf as plc - from rapidsmpf.shuffler import Shuffler + +def cudf_to_pylibcudf_table(df: cudf.DataFrame) -> plc.Table: + """Convert a cuDF DataFrame to a pylibcudf Table (replaces rapidsmpf.utils.cudf).""" + return plc.Table([col.to_pylibcudf() for col in df._columns]) + + +def pylibcudf_to_cudf_dataframe(table: plc.Table, column_names: list[str] | None = None) -> cudf.DataFrame: + """Convert a pylibcudf Table back to a cuDF DataFrame (replaces rapidsmpf.utils.cudf). + + Re-exported for the dedup modules (exact/identification, fuzzy/identify_duplicates, fuzzy/lsh) + that import this helper from this module. + """ + from cudf.core.column import ColumnBase + + df = cudf.DataFrame._from_data({str(i): ColumnBase.from_pylibcudf(col) for i, col in enumerate(table.columns())}) + if column_names is not None: + df.columns = column_names + return df # Exempt this class from coverage is it's indirectly tested by the ShuffleStage which coverage tools don't pick up. -class BulkRapidsMPFShuffler(BaseShufflingActor): # pragma: no cover +class BulkRapidsMPFShuffler(RapidsMPFActor): # pragma: no cover """ Class that performs a bulk shuffle operation. This class is compatible with Ray Actors communicating with each other using UCXX communication. @@ -134,22 +155,13 @@ def setup_worker(self, root_address_bytes: bytes) -> None: ) ) rmm.mr.set_current_device_resource(mr) - # Create a buffer resource that limits device memory if spill_memory_limit is set - memory_available = ( - None - if self.spill_memory_limit is None - else {MemoryType.DEVICE: LimitAvailableMemory(mr, limit=self.spill_memory_limit)} - ) - self.br = BufferResource(device_mr=mr, memory_available=memory_available) - # Create a statistics object - self.stats = Statistics(enable=self.enable_statistics, mr=mr) - # Create a shuffler - self.shuffler: Shuffler = self.create_shuffler( - 0, - total_num_partitions=self.total_nparts, - buffer_resource=self.br, - statistics=self.stats, - ) + # rapidsmpf 26.08: device spill limit is a plain int-byte mapping (LimitAvailableMemory + # removed); Statistics no longer takes ``mr`` and instead attaches to the BufferResource; + # the Shuffler is constructed directly (create_shuffler was removed from the actor base). + self.stats = Statistics(enable=self.enable_statistics) + memory_limits = None if self.spill_memory_limit is None else {MemoryType.DEVICE: self.spill_memory_limit} + self.br = BufferResource(mr, memory_limits=memory_limits, statistics=self.stats) + self.shuffler: Shuffler = Shuffler(self.comm, 0, self.total_nparts, self.br) def cleanup(self) -> None: """Cleanup the UCXX communication and the shuffle operation.""" @@ -257,8 +269,9 @@ def read_and_insert(self, paths: list[str], batchsize: int | None = None) -> lis def insert_finished(self) -> None: """Tell the shuffler that we are done inserting data.""" - for pid in range(self.total_nparts): - self.shuffler.insert_finished(pid) + # rapidsmpf 26.08: insert_finished() is parameterless and called exactly once per rank + # (was previously called per-partition with a partition id). + self.shuffler.insert_finished() self.comm.logger.info("Insert finished") def extract(self) -> Iterator[tuple[int, plc.Table]]: @@ -271,16 +284,14 @@ def extract(self) -> Iterator[tuple[int, plc.Table]]: """ from rmm.pylibrmm.stream import DEFAULT_STREAM - while not self.shuffler.finished(): - partition_id = self.shuffler.wait_any() + # rapidsmpf 26.08: wait_any() was removed. wait() blocks until all partitions are ready, + # then we iterate this rank's partitions via local_partitions(). unspill_partitions no + # longer takes a statistics arg (spill stats flow through the BufferResource). + self.shuffler.wait() + for partition_id in self.shuffler.local_partitions(): packed_chunks = self.shuffler.extract(partition_id) partition = unpack_and_concat( - unspill_partitions( - packed_chunks, - br=self.br, - allow_overbooking=True, - statistics=self.stats, - ), + unspill_partitions(packed_chunks, br=self.br, allow_overbooking=True), br=self.br, stream=DEFAULT_STREAM, ) diff --git a/nemo_curator/stages/synthetic/nemo_data_designer/data_designer.py b/nemo_curator/stages/synthetic/nemo_data_designer/data_designer.py index a50ea477c5..f98efd8b97 100644 --- a/nemo_curator/stages/synthetic/nemo_data_designer/data_designer.py +++ b/nemo_curator/stages/synthetic/nemo_data_designer/data_designer.py @@ -14,9 +14,10 @@ from __future__ import annotations +import copy import logging import time -from dataclasses import dataclass, field +from dataclasses import dataclass, field, fields from typing import TYPE_CHECKING from nemo_curator.stages.base import ProcessingStage @@ -74,6 +75,30 @@ def __post_init__(self) -> None: else: self.data_designer = DataDesigner() + def __deepcopy__(self, memo: dict) -> DataDesignerStage: + """Rebuild from dataclass fields so ``__post_init__`` makes a fresh ``DataDesigner``. + + Under hf-hub>=1.0, NDD's shared ``DEFAULT_SEED_READERS`` caches an + unpickleable ``duckdb.DuckDBPyConnection`` and Xenna's pipeline_spec + ``deepcopy`` then fails. + """ + init_kwargs = {f.name: copy.deepcopy(getattr(self, f.name), memo) for f in fields(self) if f.init} + return self.__class__(**init_kwargs) + + def __getstate__(self) -> dict: + """Pickle only the dataclass init fields; drop the runtime ``data_designer`` / + ``config_builder`` built in ``__post_init__``. + + Ray serializes each stage to its actors via pickle (a different path from the + ``__deepcopy__`` above). The live ``DataDesigner`` holds an unpickleable + ``duckdb.DuckDBPyConnection`` (thread lock) cached under hf-hub>=1.0, so pickling + the live object fails with ``cannot pickle '_thread.lock'``. Rebuild on unpickle. + """ + return {f.name: getattr(self, f.name) for f in fields(self) if f.init} + + def __setstate__(self, state: dict) -> None: + self.__init__(**state) + def inputs(self) -> tuple[list[str], list[str]]: return ["data"], [] diff --git a/nemo_curator/stages/text/embedders/vllm.py b/nemo_curator/stages/text/embedders/vllm.py index f08ae4d63c..1ccd4a2ac9 100644 --- a/nemo_curator/stages/text/embedders/vllm.py +++ b/nemo_curator/stages/text/embedders/vllm.py @@ -153,7 +153,8 @@ def process(self, batch: DocumentBatch) -> DocumentBatch: t0 = time.perf_counter() max_model_len = self.model.model_config.max_model_len - tokenized_data = self.tokenizer.batch_encode_plus(input_data, truncation=True, max_length=max_model_len) + # transformers 5 removed batch_encode_plus; __call__ is the supported equivalent. + tokenized_data = self.tokenizer(input_data, truncation=True, max_length=max_model_len) input_data = [TokensPrompt(prompt_token_ids=ids) for ids in tokenized_data.input_ids] metrics["tokenization_time"] = time.perf_counter() - t0 diff --git a/nemo_curator/stages/text/io/writer/megatron_tokenizer.py b/nemo_curator/stages/text/io/writer/megatron_tokenizer.py index d14911adb5..edb317589b 100644 --- a/nemo_curator/stages/text/io/writer/megatron_tokenizer.py +++ b/nemo_curator/stages/text/io/writer/megatron_tokenizer.py @@ -132,8 +132,9 @@ def process(self, task: DocumentBatch) -> FileGroupTask: try: with self.fs.open(file_prefix + ".bin", "wb") as bin_file: for batch in batched(df[self.text_field], self.tokenization_batch_size): - tokens_batch = self.tokenizer.batch_encode_plus( - batch, + # transformers 5 removed batch_encode_plus; __call__ batch-tokenizes a list/tuple. + tokens_batch = self.tokenizer( + list(batch), padding=False, truncation=False, add_special_tokens=False, diff --git a/nemo_curator/stages/text/models/tokenizer.py b/nemo_curator/stages/text/models/tokenizer.py index 01819405ca..7b89d2699b 100644 --- a/nemo_curator/stages/text/models/tokenizer.py +++ b/nemo_curator/stages/text/models/tokenizer.py @@ -160,7 +160,9 @@ def process(self, batch: DocumentBatch) -> DocumentBatch: df[self.text_field] = df[self.text_field].str.slice(0, self.max_chars) with torch.no_grad(): - tokens = self.tokenizer.batch_encode_plus( + # transformers 5 removed the deprecated batch_encode_plus; __call__ accepts a + # list of texts and the same kwargs, returning the same BatchEncoding. + tokens = self.tokenizer( df[self.text_field].tolist(), max_length=self.max_seq_length, padding="max_length", diff --git a/pyproject.toml b/pyproject.toml index bd10a5337b..4e78483ef1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -66,7 +66,7 @@ dependencies = [ "openai>=1.0.0", "pandas>=2.1.0", "pyarrow", - "ray[default,data]>=2.55.1", + "ray[default,data]>=2.55.1", # nightly wheel routed per (python, arch) via [tool.uv.sources] "torch", "transformers", ] @@ -76,28 +76,57 @@ cuda12 = [ "gpustat", "nvidia-ml-py", ] -vllm = ["vllm>=0.14.1; (platform_machine == 'x86_64' and platform_system != 'Darwin')"] +vllm = ["vllm[flashinfer,runai,otel]==0.22.0+cu129; (platform_machine == 'x86_64' and platform_system != 'Darwin')"] # Inference Server (Ray Serve + vLLM) - for serving LLMs alongside Curator pipelines inference_server = [ "nemo_curator[cuda12]", "nemo_curator[vllm]", - "vllm<0.19; (platform_machine == 'x86_64' and platform_system != 'Darwin')", # Ray Serve LLM 2.55.1 isn't compatible with vllm 0.19+ - "ai-dynamo==1.1.0; (platform_machine == 'x86_64' and platform_system != 'Darwin')", # pin so the Dynamo actor venv resolves to the same release we test against; gated to x86_64 since vllm wheels are x86_64-only + "ai-dynamo>=1.3.0.dev0; (platform_machine == 'x86_64' and platform_system != 'Darwin')", "boto3>=1.35", # Get rid once https://github.com/ray-project/ray/issues/61269 is fixed "nixl-cu12>=0.10.0; (platform_machine == 'x86_64' and platform_system != 'Darwin')", "ray[serve,llm]>=2.55.1", ] # Installs CPU + GPU text curation modules +# RAPIDS pinned to the nightly dev line (26.08.0a*) from the rapids-nightly index +# (see [[tool.uv.index]] + [tool.uv.sources]) so the weekly benchmark exercises +# upstream cudf/cuml/cugraph as they land. The >=…a0 floor is an explicit +# prerelease marker, which prerelease="if-necessary-or-explicit" honors. deduplication_cuda12 = [ - "cudf-cu12==25.10.*", - "cuml-cu12==25.10.*", - "scikit-learn<1.8.0", # cuml 25.10.0 is incompatible with scikit-learn 1.8.0 - "pylibcugraph-cu12==25.10.*", - "pylibraft-cu12==25.10.*", - "raft-dask-cu12==25.10.*", - "rapidsmpf-cu12==25.10.*", + # Top-level RAPIDS packages + "cudf-cu12>=26.8.0a0,<26.10", + "cuml-cu12>=26.8.0a0,<26.10", + "pylibcugraph-cu12>=26.8.0a0,<26.10", + "pylibraft-cu12>=26.8.0a0,<26.10", + "raft-dask-cu12>=26.8.0a0,<26.10", + "rapidsmpf-cu12>=26.8.0a0,<26.10", + # rapidsmpf 26.08 moved partition_and_pack/unpack_and_concat out of rapidsmpf into the + # new cudf-streaming package; the dedup shuffler now depends on it directly. + "cudf-streaming-cu12>=26.8.0a0,<26.10", + # RAPIDS nightly transitives, listed EXPLICITLY so prerelease="if-necessary-or-explicit" + # enables prereleases for them (stable <26.8 builds also exist on the nvidia index, so + # they would NOT qualify as "if-necessary"). Enumerated from a resolved uv.lock; keep in + # sync when the RAPIDS line bumps (re-run: parse uv.lock for the rapids-nightly index). + "libcudf-cu12>=26.8.0a0,<26.10", + "pylibcudf-cu12>=26.8.0a0,<26.10", + "rmm-cu12>=26.8.0a0,<26.10", + "librmm-cu12>=26.8.0a0,<26.10", + "libcuml-cu12>=26.8.0a0,<26.10", + "libcugraph-cu12>=26.8.0a0,<26.10", + "libraft-cu12>=26.8.0a0,<26.10", + "libcuvs-cu12>=26.8.0a0,<26.10", + "libkvikio-cu12>=26.8.0a0,<26.10", + "libnvforest-cu12>=26.8.0a0,<26.10", + "nvforest-cu12>=26.8.0a0,<26.10", + "librapidsmpf-cu12>=26.8.0a0,<26.10", + "libcudf-streaming-cu12>=26.8.0a0,<26.10", + "dask-cuda>=26.8.0a0,<26.10", + "rapids-dask-dependency>=26.8.0a0,<26.10", + # UCXX stack (RAPIDS comms) — separate 0.5x version line + "ucxx-cu12>=0.51.0a0,<0.52", + "libucxx-cu12>=0.51.0a0,<0.52", + "distributed-ucxx-cu12>=0.51.0a0,<0.52", ] audio_common = [ @@ -230,7 +259,7 @@ video_cuda12 = [ "flash-attn<=2.8.3; (platform_machine == 'x86_64' and platform_system != 'Darwin')", "pycuda", "PyNvVideoCodec==2.0.2; (platform_machine == 'x86_64' and platform_system != 'Darwin')", - "torch<=2.10.0", + "torch<=2.11.0", "torchaudio", ] @@ -267,7 +296,7 @@ interleaved_cuda12 = [ # Synthetic Data Generation (SDG) Dependencies sdg_cpu = [ - "data-designer==0.5.5", + "data-designer==0.6.1", ] sdg_cuda12 = [ @@ -290,7 +319,7 @@ all = [ ] [dependency-groups] -build = ["setuptools", "torch<=2.10.0", "Cython", "packaging"] +build = ["setuptools", "torch<=2.11.0", "Cython", "packaging"] dev = ["jupyter"] linting = ["pre-commit", "ruff==0.14.10"] test = [ @@ -306,7 +335,7 @@ test = [ "pytest-loguru", "pyyaml", "rich", - "scikit-learn<1.8.0", # cuml 25.10.0 is incompatible with scikit-learn 1.8.0 + "scikit-learn", # cap lifted for RAPIDS nightly (cuml 25.10's <1.8.0 incompatibility no longer applies); re-cap if the lock surfaces it "s3fs>=2024.12.0", # added for testing cloud fs "slack_sdk", ] @@ -317,36 +346,43 @@ package = true managed = true default-groups = ["dev", "test"] index-strategy = "unsafe-best-match" +# Only pick a prerelease when a requirement carries an explicit prerelease marker +# (ai-dynamo>=1.3.0.dev0, ray nightly URL, and the RAPIDS nightly tree listed +# explicitly in deduplication_cuda12) or when every version in range is a +# prerelease (otel's 0.x betas). This deliberately avoids "allow", which would +# also drag in unrelated prereleases (e.g. azure-identity betas, msal rc). +prerelease = "if-necessary-or-explicit" no-build-isolation-package = ["flash-attn"] +# CVE floors removed as proven-redundant (2026-06): with the ray-nightly / +# ai-dynamo-nightly / transformers-5 / RAPIDS-nightly stack, the resolver already +# lands at or above every prior CVE fix without an explicit floor — verified by +# locking with this list empty and comparing resolved versions: +# aiohttp 3.14.0 (≥3.13.3), cryptography 46.0.7 (≥46.0.6), nbconvert 7.17.1 +# (≥7.17.0), pillow 12.2.0 (≥12.1.1), pyasn1 0.6.3 (≥0.6.2), pyopenssl 26.0.0, +# python-multipart 0.0.32 (≥0.0.22), starlette 1.0.1 (≥0.49.1), urllib3 2.7.0 +# (≥2.6.3), wheel 0.46.3 (≥0.46.2), setuptools 80.10.2 (≥80.10.1). +# If a weekly re-lock ever drops one below its fix, re-add just that floor here. constraint-dependencies = [ - "aiohttp>=3.13.3", # Addresses CVE GHSA-6mq8-rvhq-8wgg - "cryptography>=46.0.6", # Address CVE GHSA-m959-cc7f-wv43 - "nbconvert>=7.17.0", # Address CVE GHSA-xm59-rqc7-hhvf - "pillow>=12.1.1", # Address CVE GHSA-cfh3-3jmp-rvhc - "protobuf>=5.29.6,<7.0", # Address CVE GHSA-8qvm-5x2c-j2w7; <7.0 due to ray serve FieldDescriptor API breakage - "pyasn1>=0.6.2", # Address CVE GHSA-63vm-454h-vhhq - "pyopenssl>=26.0.0", # Address CVE GHSA-5pwr-322w-8jr4 - "python-multipart>=0.0.22", # Address CVE GHSA-wp53-j4wj-2cfg - "starlette>=0.49.1", # Address CVE GHSA-7f5h-v6xp-fcq8 - "urllib3>=2.6.3", # Address CVE GHSA-38jv-5279-wg99 - "wheel>=0.46.2", # Address CVE GHSA-8rrh-rw8j-w5fx - "transformers>=4.56.0,<5.0", # tranfomers>5 breaks with hf_hub<1.0 added in override ] override-dependencies = [ - "fsspec>=2025.3.0", # required for nemo-toolkit[asr]==2.7.2 (fsspec==2024.12.0), override due to data-designer-engine==0.5.5 requires >=2025.3.0 + "fsspec>=2025.3.0", # required because nemo-toolkit[asr] pins fsspec==2024.12.0 while data-designer-engine==0.6.1 requires fsspec>=2025.3.0,<2026 + "huggingface-hub>=1.5.0,<2", # Override whisperx's huggingface-hub<1.0.0 pin (and other audio transitives); transformers 5 needs >=1.5,<2 and data-designer-engine 0.6.1 needs >=1.0.1,<2 — intersection is >=1.5,<2. Audio stack on hub 1.x is a known canary risk. "apex; sys_platform == 'never'", "distance; sys_platform == 'never'", - "huggingface-hub>=0.34,<1.0", # Override huggingface-hub, transformers and data-designer require two different versions of hugging-face hub "kaldiio; sys_platform == 'never'", "levenshtein; sys_platform == 'never'", - "numpy>=2.0.0,<=2.2.0", # Override nemo-toolkits constraint of <2.0.0, upperbounds for Numba compatibility - "protobuf>=5.29.5,<7.0", # Override nemo-toolkits constraint of ~=5.29.5; <7.0 due to ray serve FieldDescriptor API breakage - "setuptools>=80.10.1", # Override setuptools range in other dependencies to address CVE GHSA-58pv-8j8x-9vj2 - "torch==2.10.0", # Override whisperx's <2.9 cap to match cu129 / vllm 0.18.x - "torchaudio==2.10.0", # Override whisperx's <2.9 cap to match cu129 / vllm 0.18.x - "torchvision==0.25.0", # Match torch==2.10.0 - "torchcodec~=0.10.0; platform_machine == 'x86_64' and platform_system != 'Darwin'", # pin to torchcodec 0.10.x for torch 2.10 ABI compatibility — torchcodec doesn't declare a torch dep, so the resolver can't enforce the match; satisfies pyannote-audio's >=0.7.0 floor; x86_64-only since aarch64 lacks wheels + "numpy>=2.0.0", # Override nemo-toolkit's <2.0.0 cap; upper bound dropped (numba 0.65 + cudf nightly govern the real ceiling) — let the resolver pick the newest compatible numpy + "packaging>=25", # Override lightning 2.4.0's packaging<25 cap (lightning is pinned to 2.4.0 by nemo-toolkit[asr]<=2.4.0 ∩ pyannote-audio>=2.4); data-designer 0.6.1 requires packaging>=25. packaging 25 is low-risk for lightning. + "pandas>=3.0.0", # cudf-cu12 nightly (26.08) requires pandas>=3.0.0, but data-designer-config 0.6.1 (and nemo-toolkit transitives) still cap pandas<3. Force pandas 3 so the nightly RAPIDS line wins; data-designer on pandas 3 is a known canary risk surfaced by the weekly run. + "numba==0.65.0", # Override RAPIDS/legacy caps for the inference image; vLLM 0.22 requires numba 0.65.0 + "protobuf>=5.29.6", # Override nemo-toolkit's ~=5.29.5 pin; floor at 5.29.6 for CVE GHSA-8qvm-5x2c-j2w7. <7.0 cap dropped — ray nightly should handle protobuf 6/7; weekly run will catch the FieldDescriptor break if it regresses + "transformers>=5.0,<6", # Override nemo-toolkit[asr]'s transformers>=4.57,<4.58 pin to force the transformers 5.x nightly bump; audio stack on transformers 5 is a known canary risk (prior runs passed with the pin overridden) + "torch==2.11.0; sys_platform == 'linux' and (platform_machine == 'x86_64' or platform_machine == 'aarch64')", # Match vLLM's CUDA requirements; Linux resolves to cu129 via tool.uv.sources + "torchaudio==2.11.0; sys_platform == 'linux' and (platform_machine == 'x86_64' or platform_machine == 'aarch64')", # Match torch==2.11.0 + "torchvision==0.26.0; sys_platform == 'linux' and (platform_machine == 'x86_64' or platform_machine == 'aarch64')", # Match torch==2.11.0 + "torchcodec~=0.11.0; platform_machine == 'x86_64' and platform_system != 'Darwin'", # pin to torchcodec 0.11.x for torch 2.11 ABI compatibility; torchcodec does not declare a torch dep, so the resolver cannot enforce the match; satisfies pyannote-audio's >=0.7.0 floor; x86_64-only since aarch64 lacks wheels "nixl-cu12>=0.10.0; (platform_machine == 'x86_64' and platform_system != 'Darwin')", # Override ray[llm]'s unconditional nixl dep for ARM + "nixl-cu13; sys_platform == 'never'", # ray[llm]/nixl hard-pin the CUDA-13 NIXL backend. On this CUDA-12.9 image vLLM's eager `import nixl_ep` would load cu13's nixl_ep_cpp.so and dlopen the absent libcudart.so.13. Drop it; the nixl meta + nixl-cu12 backend (nixl's own default) remain. "xgrammar>=0.1.32", # Override vllm's ==0.1.29 pin to address CVE GHSA-7rgv-gqhr-fxg3 (DoS via multi-layer nesting) ] @@ -365,6 +401,20 @@ name = "pytorch" url = "https://download.pytorch.org/whl/cu129" explicit = true +[[tool.uv.index]] +name = "vllm-cu129" +url = "https://wheels.vllm.ai/0.22.0/cu129" +explicit = true + +# RAPIDS nightly wheels (cudf/cuml/cugraph/raft + their lib*/rmm transitives). +# Non-explicit so the unsafe-best-match resolver can also pull the nightly-only +# transitives (librmm-cu12==26.8.*, pylibcudf-cu12, libcuml-cu12, libkvikio-cu12, +# …); prerelease="if-necessary-or-explicit" keeps it from leaking prereleases to +# unrelated packages. +[[tool.uv.index]] +name = "rapids-nightly" +url = "https://pypi.anaconda.org/rapidsai-wheels-nightly/simple" + [tool.uv.sources] torch = [ { index = "pytorch", marker = "sys_platform == 'linux' and (platform_machine == 'x86_64' or platform_machine == 'aarch64')" }, @@ -382,8 +432,30 @@ torchcodec = [ { index = "pytorch", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { index = "pypi", marker = "platform_machine != 'x86_64' or sys_platform == 'darwin'" }, ] +# Route the Ray nightly wheel per (python, arch); the dependency stays a clean +# ray[default,data]>=2.55.1. Re-pinned by re-locking, not frozen. aarch64/other +# resolve ray from PyPI via the >= floor (avoids ray[llm]'s default cu130 vllm on aarch64). +ray = [ + { url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp311-cp311-manylinux2014_x86_64.whl", marker = "python_version == '3.11' and platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp312-cp312-manylinux2014_x86_64.whl", marker = "python_version == '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp313-cp313-manylinux2014_x86_64.whl", marker = "python_version == '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux'" }, +] +ai-dynamo = { index = "nvidia" } +ai-dynamo-runtime = { index = "nvidia" } +vllm = [ + { index = "vllm-cu129", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, + { index = "pypi", marker = "platform_machine != 'x86_64' or sys_platform == 'darwin'" }, +] nixl = { index = "pypi" } nixl-cu12 = { index = "pypi" } +# Pin the top-level RAPIDS packages to the nightly index for determinism; their +# lib*/rmm transitives resolve from the same (non-explicit) index automatically. +cudf-cu12 = { index = "rapids-nightly" } +cuml-cu12 = { index = "rapids-nightly" } +pylibcugraph-cu12 = { index = "rapids-nightly" } +pylibraft-cu12 = { index = "rapids-nightly" } +raft-dask-cu12 = { index = "rapids-nightly" } +rapidsmpf-cu12 = { index = "rapids-nightly" } [tool.coverage.paths] source = ["nemo_curator", "/opt/Curator/nemo_curator", "/home/runner/work/Curator/Curator/nemo_curator"] diff --git a/tests/core/serve/dynamo/test_vllm.py b/tests/core/serve/dynamo/test_vllm.py index 682f222319..448bf6c451 100644 --- a/tests/core/serve/dynamo/test_vllm.py +++ b/tests/core/serve/dynamo/test_vllm.py @@ -346,12 +346,13 @@ class TestEnsureActorOverridesOnAllNodes: ``--override`` constraints file before workers are spawned.""" def test_writes_current_ray_version_at_path(self, shared_ray_client: None, tmp_path: Path) -> None: - """The fan-out writes ``ray=={ray.__version__}`` at the configured - path on every alive node. Catches regressions where the content is - hardcoded and silently drifts after a Curator ray bump. + """The fan-out writes ``ray=={ray.__version__}`` plus the nixl-cu13 + exclusion at the configured path on every alive node. Catches + regressions where the content is hardcoded and silently drifts after + a Curator ray bump. """ override_path = tmp_path / "override.txt" with mock.patch.object(dynamo_vllm, "_ACTOR_VENV_OVERRIDES_PATH", override_path): dynamo_vllm.ensure_actor_overrides_on_all_nodes() - assert override_path.read_text() == f"ray=={ray.__version__}\n" + assert override_path.read_text() == f"ray=={ray.__version__}\n{dynamo_vllm._ACTOR_VENV_NIXL_CU13_EXCLUSION}\n" diff --git a/tests/stages/deduplication/fuzzy/test_minhash.py b/tests/stages/deduplication/fuzzy/test_minhash.py index 508af11a10..f3eb287d04 100644 --- a/tests/stages/deduplication/fuzzy/test_minhash.py +++ b/tests/stages/deduplication/fuzzy/test_minhash.py @@ -40,7 +40,8 @@ def minhash_overlap(minhash1: np.ndarray, minhash2: np.ndarray) -> float: def jaccard_index(str1: str, str2: str, char_ngrams: int) -> float: """Calculate the true Jaccard index between two strings.""" - return cudf.Series([str1]).str.jaccard_index(cudf.Series([str2]), width=char_ngrams).values_host[0] + # cudf 26.08 removed Series.values_host; to_numpy() returns the equivalent host array. + return cudf.Series([str1]).str.jaccard_index(cudf.Series([str2]), width=char_ngrams).to_numpy()[0] def generate_all_pairs(item: Iterable) -> Iterable: diff --git a/tests/stages/deduplication/semantic/test_kmeans.py b/tests/stages/deduplication/semantic/test_kmeans.py index 2af3667b64..5405ea14d3 100644 --- a/tests/stages/deduplication/semantic/test_kmeans.py +++ b/tests/stages/deduplication/semantic/test_kmeans.py @@ -415,7 +415,7 @@ def test_process_batch_read_paths( total_rows = len(df) * len(expected_groups) stage.kmeans = Mock() - stage.kmeans._fit = Mock() + stage.kmeans.fit = Mock() # cuml 26.08: cooperative fit is KMeansMG.fit() (was private _fit) stage.kmeans.predict = Mock(return_value=cp.zeros(total_rows, dtype=cp.int32)) stage.kmeans.cluster_centers_ = cp.random.random((2, 2), dtype=cp.float32) @@ -449,7 +449,7 @@ def test_process_batch_read_paths( assert call.kwargs["columns"] == ["id", "embeddings", "metadata_col"] assert call.kwargs["assign_id"] is False - stage.kmeans._fit.assert_called_once() + stage.kmeans.fit.assert_called_once() stage.kmeans.predict.assert_called_once() assert mock_write.call_count == len(expected_groups) diff --git a/uv.lock b/uv.lock index 7509d39c76..fe689843fd 100644 --- a/uv.lock +++ b/uv.lock @@ -3,67 +3,75 @@ revision = 3 requires-python = ">=3.11, <3.14" resolution-markers = [ "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux'", - "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux'", - "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux'", - "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux'", "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'darwin'", - "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux'", "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'darwin'", - "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'darwin'", "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'darwin'", - "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version >= '3.13' and platform_machine == 's390x'", - "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version == '3.12.*' and platform_machine == 's390x'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'", "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'darwin'", - "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'darwin'", - "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version < '3.12' and platform_machine == 's390x'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", ] [manifest] -constraints = [ - { name = "aiohttp", specifier = ">=3.13.3" }, - { name = "cryptography", specifier = ">=46.0.6" }, - { name = "nbconvert", specifier = ">=7.17.0" }, - { name = "pillow", specifier = ">=12.1.1" }, - { name = "protobuf", specifier = ">=5.29.6,<7.0" }, - { name = "pyasn1", specifier = ">=0.6.2" }, - { name = "pyopenssl", specifier = ">=26.0.0" }, - { name = "python-multipart", specifier = ">=0.0.22" }, - { name = "starlette", specifier = ">=0.49.1" }, - { name = "transformers", specifier = ">=4.56.0,<5.0" }, - { name = "urllib3", specifier = ">=2.6.3" }, - { name = "wheel", specifier = ">=0.46.2" }, -] overrides = [ { name = "apex", marker = "sys_platform == 'never'" }, { name = "distance", marker = "sys_platform == 'never'" }, { name = "fsspec", specifier = ">=2025.3.0" }, - { name = "huggingface-hub", specifier = ">=0.34,<1.0" }, + { name = "huggingface-hub", specifier = ">=1.5.0,<2" }, { name = "kaldiio", marker = "sys_platform == 'never'" }, { name = "levenshtein", marker = "sys_platform == 'never'" }, { name = "nixl-cu12", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'", specifier = ">=0.10.0", index = "https://pypi.org/simple" }, - { name = "numpy", specifier = ">=2.0.0,<=2.2.0" }, - { name = "protobuf", specifier = ">=5.29.5,<7.0" }, - { name = "setuptools", specifier = ">=80.10.1" }, - { name = "torch", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform == 'darwin'", specifier = "==2.10.0", index = "https://pypi.org/simple" }, - { name = "torch", marker = "(platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux') or (platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux')", specifier = "==2.10.0" }, - { name = "torch", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')", specifier = "==2.10.0", index = "https://download.pytorch.org/whl/cu129" }, - { name = "torchaudio", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform == 'darwin'", specifier = "==2.10.0", index = "https://pypi.org/simple" }, - { name = "torchaudio", marker = "(platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux') or (platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux')", specifier = "==2.10.0" }, - { name = "torchaudio", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')", specifier = "==2.10.0", index = "https://download.pytorch.org/whl/cu129" }, - { name = "torchcodec", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'", specifier = "~=0.10.0", index = "https://download.pytorch.org/whl/cu129" }, - { name = "torchvision", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform == 'darwin'", specifier = "==0.25.0", index = "https://pypi.org/simple" }, - { name = "torchvision", marker = "(platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux') or (platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux')", specifier = "==0.25.0" }, - { name = "torchvision", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')", specifier = "==0.25.0", index = "https://download.pytorch.org/whl/cu129" }, + { name = "nixl-cu13", marker = "sys_platform == 'never'" }, + { name = "numba", specifier = "==0.65.0" }, + { name = "numpy", specifier = ">=2.0.0" }, + { name = "packaging", specifier = ">=25" }, + { name = "pandas", specifier = ">=3.0.0" }, + { name = "protobuf", specifier = ">=5.29.6" }, + { name = "torch", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')", specifier = "==2.11.0", index = "https://download.pytorch.org/whl/cu129" }, + { name = "torchaudio", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')", specifier = "==2.11.0", index = "https://download.pytorch.org/whl/cu129" }, + { name = "torchcodec", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'", specifier = "~=0.11.0", index = "https://download.pytorch.org/whl/cu129" }, + { name = "torchvision", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')", specifier = "==0.26.0", index = "https://download.pytorch.org/whl/cu129" }, + { name = "transformers", specifier = ">=5.0,<6" }, { name = "xgrammar", specifier = ">=0.1.32" }, ] @@ -87,8 +95,7 @@ dependencies = [ { name = "psutil" }, { name = "pyyaml" }, { name = "safetensors" }, - { name = "torch", version = "2.10.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform != 'linux'" }, - { name = "torch", version = "2.10.0+cu129", source = { registry = "https://download.pytorch.org/whl/cu129" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "torch", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/4a/8e/ac2a9566747a93f8be36ee08532eb0160558b07630a081a6056a9f89bf1d/accelerate-1.12.0.tar.gz", hash = "sha256:70988c352feb481887077d2ab845125024b2a137a5090d6d7a32b57d03a45df6", size = 398399, upload-time = "2025-11-21T11:27:46.973Z" } wheels = [ @@ -97,31 +104,32 @@ wheels = [ [[package]] name = "ai-dynamo" -version = "1.1.0" +version = "1.3.0.dev20260608" source = { registry = "https://pypi.nvidia.com/" } dependencies = [ { name = "ai-dynamo-runtime", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, + { name = "aiohttp", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "kubernetes", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, - { name = "msgpack", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "msgspec", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "prometheus-client", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "pyzmq", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "transformers", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, + { name = "typing-extensions", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, ] wheels = [ - { url = "https://pypi.nvidia.com/ai-dynamo/ai_dynamo-1.1.0-py3-none-any.whl", hash = "sha256:588ab10664f54cb624deb34b888f1246a2e1f1cc0155d43de22fbbed54c7ad41" }, + { url = "https://pypi.nvidia.com/ai-dynamo/ai_dynamo-1.3.0.dev20260608-py3-none-any.whl", hash = "sha256:7d5785ee1cd472dee72a61d2a36ec776a0157e077885130b6b024d2390542d48" }, ] [[package]] name = "ai-dynamo-runtime" -version = "1.1.0" +version = "1.3.0.dev20260608" source = { registry = "https://pypi.nvidia.com/" } dependencies = [ { name = "pydantic", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "uvloop", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, ] wheels = [ - { url = "https://pypi.nvidia.com/ai-dynamo-runtime/ai_dynamo_runtime-1.1.0-cp310-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:ac8d25d4fe281c0b88d353bf1ccd35b2064030b7ec43eed409c09874b50e01e2" }, + { url = "https://pypi.nvidia.com/ai-dynamo-runtime/ai_dynamo_runtime-1.3.0.dev20260608-cp310-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:90677ec525851e2348915fcdb568f08538b1520fe5d088aab17ac32d83d92133" }, ] [[package]] @@ -386,8 +394,46 @@ wheels = [ name = "apache-tvm-ffi" version = "0.1.6" source = { registry = "https://pypi.org/simple" } 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and sys_platform != 'linux' and sys_platform != 'win32'", "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'darwin'", "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'darwin'", - "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version >= '3.13' and platform_machine == 's390x'", - "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version == '3.12.*' and platform_machine == 's390x'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'emscripten'", + 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"python_full_version < '3.12' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", ] wheels = [ { url = "https://pypi.nvidia.com/cuda-toolkit/cuda_toolkit-12.8.1-py2.py3-none-any.whl", hash = "sha256:adc7906af4ecbf9a352f9dca5734eceb21daec281ccfcf5675e1d2f724fc2cba" }, ] [package.optional-dependencies] +cccl = [ + { name = "nvidia-cuda-cccl-cu12", version = "12.8.90", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" }, +] cublas = [ { name = "nvidia-cublas-cu12", version = "12.8.4.1", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" }, ] +cudart = [ + { name = "nvidia-cuda-runtime-cu12", version = "12.8.90", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" }, +] cufft = [ { name = "nvidia-cufft-cu12", version = "11.3.3.83", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'linux') or sys_platform == 'win32'" }, ] @@ -1615,12 +1945,24 @@ wheels = [ ] [package.optional-dependencies] +cccl = [ + { name = "nvidia-cuda-cccl-cu12", version = "12.9.27", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, +] cublas = [ { name = "nvidia-cublas-cu12", version = "12.9.1.4", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, ] +cudart = [ + { name = "nvidia-cuda-runtime-cu12", version = "12.9.79", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, +] cufft = [ { name = "nvidia-cufft-cu12", version = "11.4.1.4", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, ] +cufile = [ + { name = "nvidia-cufile-cu12", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, +] +cupti = [ + { name = "nvidia-cuda-cupti-cu12", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, +] curand = [ { name = "nvidia-curand-cu12", version = "10.3.10.19", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, ] @@ -1633,14 +1975,20 @@ cusparse = [ nvcc = [ { name = "nvidia-cuda-nvcc-cu12", version = "12.9.86", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, ] +nvjitlink = [ + { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, +] nvrtc = [ { name = "nvidia-cuda-nvrtc-cu12", version = "12.9.86", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, ] +nvtx = [ + { name = "nvidia-nvtx-cu12", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, +] [[package]] name = "cudf-cu12" -version = "25.10.0" -source = { registry = "https://pypi.nvidia.com/" } +version = "26.8.0a634" +source = { registry = "https://pypi.anaconda.org/rapidsai-wheels-nightly/simple" } dependencies = [ { name = "cachetools" }, { name = "cuda-python", version = "12.9.4", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, @@ -1656,25 +2004,35 @@ dependencies = [ { name = "nvtx" }, { name = "packaging" }, { name = "pandas" }, - { name = "pyarrow", marker = "platform_machine == 'aarch64' or platform_machine == 'x86_64'" }, - { name = "pylibcudf-cu12" }, + { name = "pyarrow" }, + { name = "pylibcudf-cu12", extra = ["pyarrow"] }, { name = "rich" }, { name = "rmm-cu12" }, - { name = "typing-extensions" }, ] wheels = [ - { url = 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'x86_64') or sys_platform != 'linux'" }, @@ -1682,17 +2040,15 @@ dependencies = [ { name = "cuda-toolkit", version = "12.9.1", source = { registry = "https://pypi.nvidia.com/" }, extra = ["cublas", "cufft", "curand", "cusolver", "cusparse"], marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "cudf-cu12" }, { name = "cupy-cuda12x" }, - { name = "dask-cuda" }, - { name = "dask-cudf-cu12" }, { name = "joblib" }, { name = "libcuml-cu12" }, { name = "numba" }, { name = "numba-cuda", extra = ["cu12"] }, { name = "numpy" }, + { name = "nvforest-cu12" }, + { name = "nvidia-nvjitlink-cu12" }, { name = "packaging" }, { name = "pylibraft-cu12" }, - { name = "raft-dask-cu12" }, - { name = "rapids-dask-dependency" }, { name = "rich" }, { name = "rmm-cu12" }, { name = "scikit-learn" }, @@ -1700,12 +2056,8 @@ dependencies = [ { name = "treelite" }, ] wheels = [ - { url = 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"libcugraph-cu12" }, + { name = "libcuml-cu12" }, + { name = "libcuvs-cu12" }, + { name = "libkvikio-cu12" }, + { name = "libnvforest-cu12" }, + { name = "libraft-cu12" }, + { name = "librapidsmpf-cu12" }, + { name = "librmm-cu12" }, { name = "librosa" }, + { name = "libucxx-cu12" }, { name = "lxml" }, { name = "matplotlib" }, { name = "mwparserfromhell" }, { name = "nemo-text-processing", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "nemo-toolkit", extra = ["asr"], marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "nixl-cu12", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, - { name = "nvidia-cudnn-cu12" }, + { name = "nvforest-cu12" }, + { name = "nvidia-cudnn-cu12", version = "9.10.2.21", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform != 'linux'" }, + { name = "nvidia-cudnn-cu12", version = "9.17.1.4", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "nvidia-dali-cuda120" }, { name = "nvidia-ml-py" }, { name = "onnx" }, @@ -5163,19 +6028,24 @@ all = [ { name = "pycld2" }, { name = "pycuda" }, { name = "pydub" }, + { name = "pylibcudf-cu12" }, { name = "pylibcugraph-cu12" }, { name = "pylibraft-cu12" }, { name = "pynvvideocodec", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "pypdfium2" }, { name = "raft-dask-cu12" }, + { name = "rapids-dask-dependency" }, { name = "rapidsmpf-cu12" }, - { name = "ray", extra = ["llm", "serve"] }, + { name = "ray", version = "2.55.1", source = { registry = "https://pypi.org/simple" }, extra = ["llm", "serve"], marker = "platform_machine != 'x86_64' or sys_platform != 'linux'" }, + { name = "ray", version = "3.0.0.dev0", source = { url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp311-cp311-manylinux2014_x86_64.whl" }, extra = ["llm", "serve"], marker = "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "ray", version = "3.0.0.dev0", source = { url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp312-cp312-manylinux2014_x86_64.whl" }, extra = ["llm", "serve"], marker = "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "ray", version = "3.0.0.dev0", source = { url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp313-cp313-manylinux2014_x86_64.whl" }, extra = ["llm", "serve"], marker = "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux'" }, { name = "requests" }, { name = "resiliparse" }, + { name = "rmm-cu12" }, { name = "s3fs" }, { name = "s5cmd" }, { name = "sacrebleu" }, - { name = "scikit-learn" }, { name = "scipy" }, { name = "sentence-transformers" }, { name = "sentencepiece" }, @@ -5183,16 +6053,14 @@ all = [ { name = "soundfile" }, { name = "spacy" }, { name = "timm" }, - { name = "torch", version = "2.10.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform != 'linux'" }, - { name = "torch", version = "2.10.0+cu129", source = { registry = "https://download.pytorch.org/whl/cu129" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "torchaudio", version = "2.10.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform != 'linux'" }, - { name = "torchaudio", version = "2.10.0+cu129", source = { registry = "https://download.pytorch.org/whl/cu129" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "torch", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "torchaudio", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "torchcodec", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, - { name = "torchvision", version = "0.25.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform != 'linux'" }, - { name = "torchvision", version = "0.25.0+cu129", source = { registry = "https://download.pytorch.org/whl/cu129" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "torchvision", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "trafilatura" }, { name = "transformers" }, - { name = "vllm", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, + { name = "ucxx-cu12" }, + { name = "vllm", version = "0.22.0+cu129", source = { registry = "https://wheels.vllm.ai/0.22.0/cu129" }, extra = ["otel", "runai"], marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "warcio" }, { name = "whisperx", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, ] @@ -5208,8 +6076,7 @@ audio-common = [ { name = "scipy" }, { name = "silero-vad" }, { name = "soundfile" }, - { name = "torchaudio", version = "2.10.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform != 'linux'" }, - { name = "torchaudio", version = "2.10.0+cu129", source = { registry = "https://download.pytorch.org/whl/cu129" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "torchaudio", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "transformers" }, { name = "whisperx", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, ] @@ -5226,8 +6093,7 @@ audio-cpu = [ { name = "scipy" }, { name = "silero-vad" }, { name = "soundfile" }, - { name = "torchaudio", version = "2.10.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform != 'linux'" }, - { name = "torchaudio", version = "2.10.0+cu129", source = { registry = "https://download.pytorch.org/whl/cu129" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "torchaudio", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "transformers" }, { name = "whisperx", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, ] @@ -5239,7 +6105,8 @@ audio-cuda12 = [ { name = "librosa" }, { name = "nemo-text-processing", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "nemo-toolkit", extra = ["asr"], marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, - { name = "nvidia-cudnn-cu12" }, + { name = "nvidia-cudnn-cu12", version = "9.10.2.21", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform != 'linux'" }, + { name = "nvidia-cudnn-cu12", version = "9.17.1.4", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "nvidia-ml-py" }, { name = "onnx" }, { name = "onnxruntime-gpu", marker = "platform_machine == 'x86_64'" }, @@ -5249,8 +6116,7 @@ audio-cuda12 = [ { name = "scipy" }, { name = "silero-vad" }, { name = "soundfile" }, - { name = "torchaudio", version = "2.10.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform != 'linux'" }, - { name = "torchaudio", version = "2.10.0+cu129", source = { registry = "https://download.pytorch.org/whl/cu129" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "torchaudio", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "torchcodec", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "transformers" }, { name = "whisperx", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, @@ -5261,32 +6127,66 @@ cuda12 = [ ] deduplication-cuda12 = [ { name = "cudf-cu12" }, + { name = "cudf-streaming-cu12" }, { name = "cuml-cu12" }, + { name = "dask-cuda" }, + { name = "distributed-ucxx-cu12" }, + { name = "libcudf-cu12" }, + { name = "libcudf-streaming-cu12" }, + { name = "libcugraph-cu12" }, + { name = "libcuml-cu12" }, + { name = "libcuvs-cu12" }, + { name = "libkvikio-cu12" }, + { name = "libnvforest-cu12" }, + { name = "libraft-cu12" }, + { name = "librapidsmpf-cu12" }, + { name = "librmm-cu12" }, + { name = "libucxx-cu12" }, + { name = "nvforest-cu12" }, + { name = "pylibcudf-cu12" }, { name = "pylibcugraph-cu12" }, { name = "pylibraft-cu12" }, { name = "raft-dask-cu12" }, + { name = "rapids-dask-dependency" }, { name = "rapidsmpf-cu12" }, - { name = "scikit-learn" }, + { name = "rmm-cu12" }, + { name = "ucxx-cu12" }, ] image-cpu = [ { name = "pillow" }, - { name = "torchvision", version = "0.25.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform != 'linux'" }, - { name = "torchvision", version = "0.25.0+cu129", source = { registry = "https://download.pytorch.org/whl/cu129" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "torchvision", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, ] image-cuda12 = [ { name = "cudf-cu12" }, + { name = "cudf-streaming-cu12" }, { name = "cuml-cu12" }, + { name = "dask-cuda" }, + { name = "distributed-ucxx-cu12" }, { name = "gpustat" }, + { name = "libcudf-cu12" }, + { name = "libcudf-streaming-cu12" }, + { name = "libcugraph-cu12" }, + { name = "libcuml-cu12" }, + { name = "libcuvs-cu12" }, + { name = "libkvikio-cu12" }, + { name = "libnvforest-cu12" }, + { name = "libraft-cu12" }, + { name = "librapidsmpf-cu12" }, + { name = "librmm-cu12" }, + { name = "libucxx-cu12" }, + { name = "nvforest-cu12" }, { name = "nvidia-dali-cuda120" }, { name = "nvidia-ml-py" }, { name = "pillow" }, + { name = "pylibcudf-cu12" }, { name = "pylibcugraph-cu12" }, { name = "pylibraft-cu12" }, { name = "raft-dask-cu12" }, + { name = "rapids-dask-dependency" }, { name = "rapidsmpf-cu12" }, - { name = "scikit-learn" }, - { name = "torchvision", version = "0.25.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform != 'linux'" }, - { name = "torchvision", version = "0.25.0+cu129", source = { registry = "https://download.pytorch.org/whl/cu129" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "rmm-cu12" }, + { name = "torchvision", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "ucxx-cu12" }, ] inference-server = [ { name = "ai-dynamo", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, @@ -5294,8 +6194,11 @@ inference-server = [ { name = "gpustat" }, { name = "nixl-cu12", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "nvidia-ml-py" }, - { name = "ray", extra = ["llm", "serve"] }, - { name = "vllm", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, + { name = "ray", version = "2.55.1", source = { registry = "https://pypi.org/simple" }, extra = ["llm", "serve"], marker = "platform_machine != 'x86_64' or sys_platform != 'linux'" }, + { name = "ray", version = "3.0.0.dev0", source = { url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp311-cp311-manylinux2014_x86_64.whl" }, extra = ["llm", "serve"], marker = "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "ray", version = "3.0.0.dev0", source = { url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp312-cp312-manylinux2014_x86_64.whl" }, extra = ["llm", "serve"], marker = "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "ray", version = "3.0.0.dev0", source = { url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp313-cp313-manylinux2014_x86_64.whl" }, extra = ["llm", "serve"], marker = "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "vllm", version = "0.22.0+cu129", source = { registry = "https://wheels.vllm.ai/0.22.0/cu129" }, extra = ["otel", "runai"], marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, ] interleaved-cpu = [ { name = "albumentations" }, @@ -5318,7 +6221,7 @@ interleaved-cuda12 = [ { name = "pypdfium2" }, { name = "s3fs" }, { name = "timm" }, - { name = "vllm", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, + { name = "vllm", version = "0.22.0+cu129", source = { registry = "https://wheels.vllm.ai/0.22.0/cu129" }, extra = ["otel", "runai"], marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, ] math-cpu = [ { name = "beautifulsoup4" }, @@ -5341,27 +6244,45 @@ math-cuda12 = [ { name = "beautifulsoup4" }, { name = "boto3" }, { name = "cudf-cu12" }, + { name = "cudf-streaming-cu12" }, { name = "cuml-cu12" }, + { name = "dask-cuda" }, + { name = "distributed-ucxx-cu12" }, { name = "fasttext" }, { name = "ftfy" }, { name = "gpustat" }, { name = "justext" }, + { name = "libcudf-cu12" }, + { name = "libcudf-streaming-cu12" }, + { name = "libcugraph-cu12" }, + { name = "libcuml-cu12" }, + { name = "libcuvs-cu12" }, + { name = "libkvikio-cu12" }, + { name = "libnvforest-cu12" }, + { name = "libraft-cu12" }, + { name = "librapidsmpf-cu12" }, + { name = "librmm-cu12" }, + { name = "libucxx-cu12" }, { name = "lxml" }, { name = "mwparserfromhell" }, + { name = "nvforest-cu12" }, { name = "nvidia-ml-py" }, { name = "peft" }, { name = "pycld2" }, + { name = "pylibcudf-cu12" }, { name = "pylibcugraph-cu12" }, { name = "pylibraft-cu12" }, { name = "raft-dask-cu12" }, + { name = "rapids-dask-dependency" }, { name = "rapidsmpf-cu12" }, { name = "resiliparse" }, + { name = "rmm-cu12" }, { name = "s5cmd" }, - { name = "scikit-learn" }, { name = "sentence-transformers" }, { name = "sentencepiece" }, { name = "trafilatura" }, - { name = "vllm", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, + { name = "ucxx-cu12" }, + { name = "vllm", version = "0.22.0+cu129", source = { registry = "https://wheels.vllm.ai/0.22.0/cu129" }, marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "warcio" }, ] sdg-cpu = [ @@ -5374,8 +6295,11 @@ sdg-cuda12 = [ { name = "gpustat" }, { name = "nixl-cu12", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "nvidia-ml-py" }, - { name = "ray", extra = ["llm", "serve"] }, - { name = "vllm", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, + { name = "ray", version = "2.55.1", source = { registry = "https://pypi.org/simple" }, extra = ["llm", "serve"], marker = "platform_machine != 'x86_64' or sys_platform != 'linux'" }, + { name = "ray", version = "3.0.0.dev0", source = { url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp311-cp311-manylinux2014_x86_64.whl" }, extra = ["llm", "serve"], marker = "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "ray", version = "3.0.0.dev0", source = { url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp312-cp312-manylinux2014_x86_64.whl" }, extra = ["llm", "serve"], marker = "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "ray", version = "3.0.0.dev0", source = { url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp313-cp313-manylinux2014_x86_64.whl" }, extra = ["llm", "serve"], marker = "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "vllm", version = "0.22.0+cu129", source = { registry = "https://wheels.vllm.ai/0.22.0/cu129" }, extra = ["otel", "runai"], marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, ] text-cpu = [ { name = "beautifulsoup4" }, @@ -5396,27 +6320,45 @@ text-cpu = [ text-cuda12 = [ { name = "beautifulsoup4" }, { name = "cudf-cu12" }, + { name = "cudf-streaming-cu12" }, { name = "cuml-cu12" }, + { name = "dask-cuda" }, + { name = "distributed-ucxx-cu12" }, { name = "fasttext" }, { name = "ftfy" }, { name = "gpustat" }, { name = "justext" }, + { name = "libcudf-cu12" }, + { name = "libcudf-streaming-cu12" }, + { name = "libcugraph-cu12" }, + { name = "libcuml-cu12" }, + { name = "libcuvs-cu12" }, + { name = "libkvikio-cu12" }, + { name = "libnvforest-cu12" }, + { name = "libraft-cu12" }, + { name = "librapidsmpf-cu12" }, + { name = "librmm-cu12" }, + { name = "libucxx-cu12" }, { name = "lxml" }, { name = "mwparserfromhell" }, + { name = "nvforest-cu12" }, { name = "nvidia-ml-py" }, { name = "peft" }, { name = "pycld2" }, + { name = "pylibcudf-cu12" }, { name = "pylibcugraph-cu12" }, { name = "pylibraft-cu12" }, { name = "raft-dask-cu12" }, + { name = "rapids-dask-dependency" }, { name = "rapidsmpf-cu12" }, { name = "resiliparse" }, + { name = "rmm-cu12" }, { name = "s5cmd" }, - { name = "scikit-learn" }, { name = "sentence-transformers" }, { name = "sentencepiece" }, { name = "trafilatura" }, - { name = "vllm", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, + { name = "ucxx-cu12" }, + { name = "vllm", version = "0.22.0+cu129", source = { registry = "https://wheels.vllm.ai/0.22.0/cu129" }, extra = ["otel", "runai"], marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "warcio" }, ] translation-all = [ @@ -5457,8 +6399,7 @@ video-cpu = [ { name = "easydict" }, { name = "einops" }, { name = "opencv-python" }, - { name = "torchvision", version = "0.25.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform != 'linux'" }, - { name = "torchvision", version = "0.25.0+cu129", source = { registry = "https://download.pytorch.org/whl/cu129" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "torchvision", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, ] video-cuda12 = [ { name = "av" }, @@ -5471,16 +6412,13 @@ video-cuda12 = [ { name = "opencv-python" }, { name = "pycuda" }, { name = "pynvvideocodec", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, - { name = "torch", version = "2.10.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform != 'linux'" }, - { name = "torch", version = "2.10.0+cu129", source = { registry = "https://download.pytorch.org/whl/cu129" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "torchaudio", version = "2.10.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform != 'linux'" }, - { name = "torchaudio", version = "2.10.0+cu129", source = { registry = "https://download.pytorch.org/whl/cu129" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "torchvision", version = "0.25.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform != 'linux'" }, - { name = "torchvision", version = "0.25.0+cu129", source = { registry = "https://download.pytorch.org/whl/cu129" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "vllm", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, + { name = "torch", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "torchaudio", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "torchvision", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "vllm", version = "0.22.0+cu129", source = { registry = "https://wheels.vllm.ai/0.22.0/cu129" }, extra = ["otel", "runai"], marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, ] vllm = [ - { name = "vllm", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, + { name = "vllm", version = "0.22.0+cu129", source = { registry = "https://wheels.vllm.ai/0.22.0/cu129" }, extra = ["otel", "runai"], marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, ] [package.dev-dependencies] @@ -5488,8 +6426,7 @@ build = [ { name = "cython" }, { name = "packaging" }, { name = "setuptools" }, - { name = "torch", version = "2.10.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform != 'linux'" }, - { name = "torch", version = "2.10.0+cu129", source = { registry = "https://download.pytorch.org/whl/cu129" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "torch", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, ] dev = [ { name = "jupyter" }, @@ -5520,7 +6457,7 @@ test = [ requires-dist = [ { name = "absl-py", specifier = ">=2.0.0,<3.0.0" }, { name = "accelerate", marker = "extra == 'audio-common'" }, - { name = "ai-dynamo", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin' and extra == 'inference-server'", specifier = "==1.1.0" }, + { name = "ai-dynamo", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin' and extra == 'inference-server'", specifier = ">=1.3.0.dev0", index = "https://pypi.nvidia.com/" }, { name = "aiohttp", marker = "extra == 'translation-nmt'", specifier = ">=3.13.3" }, { name = "albumentations", marker = "extra == 'interleaved-cpu'" }, { name = "av", marker = "extra == 'video-cpu'", specifier = "==13.1.0" }, @@ -5531,10 +6468,13 @@ requires-dist = [ { name = "comment-parser" }, { name = "cosmos-xenna", specifier = "==0.2.0" }, { name = "cuda-python", marker = "extra == 'audio-cuda12'", specifier = ">=12.3" }, - { name = "cudf-cu12", marker = "extra == 'deduplication-cuda12'", specifier = "==25.10.*" }, - { name = "cuml-cu12", marker = "extra == 'deduplication-cuda12'", specifier = "==25.10.*" }, + { name = "cudf-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10", index = "https://pypi.anaconda.org/rapidsai-wheels-nightly/simple" }, + { name = "cudf-streaming-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10" }, + { name = "cuml-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10", index = "https://pypi.anaconda.org/rapidsai-wheels-nightly/simple" }, { name = "cvcuda-cu12", marker = "extra == 'video-cuda12'" }, - { name = "data-designer", marker = "extra == 'sdg-cpu'", specifier = "==0.5.5" }, + { name = "dask-cuda", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10" }, + { name = "data-designer", marker = "extra == 'sdg-cpu'", specifier = "==0.6.1" }, + { name = "distributed-ucxx-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=0.51.0a0,<0.52" }, { name = "easydict", marker = "extra == 'video-cpu'" }, { name = "einops", marker = "extra == 'video-cpu'" }, { name = "fasttext", marker = "extra == 'text-cpu'", specifier = "==0.9.3" }, @@ -5547,7 +6487,18 @@ requires-dist = [ { name = "iso639-lang", marker = "extra == 'translation-common'", specifier = ">=2.6.0" }, { name = "jieba", specifier = "==0.42.1" }, { name = "justext", marker = "extra == 'text-cpu'" }, + { name = "libcudf-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10" }, + { name = "libcudf-streaming-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10" }, + { name = "libcugraph-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10" }, + { name = "libcuml-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10" }, + { name = "libcuvs-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10" }, + { name = "libkvikio-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10" }, + { name = "libnvforest-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10" }, + { name = "libraft-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10" }, + { name = "librapidsmpf-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10" }, + { name = "librmm-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10" }, { name = "librosa", marker = "extra == 'audio-common'" }, + { name = "libucxx-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=0.51.0a0,<0.52" }, { name = "loguru" }, { name = "lxml", marker = "extra == 'text-cpu'" }, { name = "matplotlib", marker = "extra == 'interleaved-cpu'" }, @@ -5600,6 +6551,7 @@ requires-dist = [ { name = "nemo-text-processing", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin' and extra == 'audio-common'" }, { name = "nemo-toolkit", extras = ["asr"], marker = "platform_machine == 'x86_64' and sys_platform != 'darwin' and extra == 'audio-common'", specifier = ">=2.7.2" }, { name = "nixl-cu12", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin' and extra == 'inference-server'", specifier = ">=0.10.0", index = "https://pypi.org/simple" }, + { name = "nvforest-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10" }, { name = "nvidia-cudnn-cu12", marker = "extra == 'audio-cuda12'" }, { name = "nvidia-dali-cuda120", marker = "extra == 'image-cuda12'" }, { name = "nvidia-ml-py", marker = "extra == 'cuda12'" }, @@ -5621,20 +6573,28 @@ requires-dist = [ { name = "pycld2", marker = "extra == 'text-cpu'" }, { name = "pycuda", marker = "extra == 'video-cuda12'" }, { name = "pydub", marker = "extra == 'audio-common'", specifier = ">=0.25.1" }, - { name = "pylibcugraph-cu12", marker = "extra == 'deduplication-cuda12'", specifier = "==25.10.*" }, - { name = "pylibraft-cu12", marker = "extra == 'deduplication-cuda12'", specifier = "==25.10.*" }, + { name = "pylibcudf-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10" }, + { name = "pylibcugraph-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10", index = "https://pypi.anaconda.org/rapidsai-wheels-nightly/simple" }, + { name = "pylibraft-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10", index = "https://pypi.anaconda.org/rapidsai-wheels-nightly/simple" }, { name = "pynvvideocodec", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin' and extra == 'video-cuda12'", specifier = "==2.0.2" }, { name = "pypdfium2", marker = "extra == 'interleaved-cpu'" }, - { name = "raft-dask-cu12", marker = "extra == 'deduplication-cuda12'", specifier = "==25.10.*" }, - { name = "rapidsmpf-cu12", marker = "extra == 'deduplication-cuda12'", specifier = "==25.10.*" }, - { name = "ray", extras = ["data", "default"], specifier = ">=2.55.1" }, - { name = "ray", extras = ["llm", "serve"], marker = "extra == 'inference-server'", specifier = ">=2.55.1" }, + { name = "raft-dask-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10", index = "https://pypi.anaconda.org/rapidsai-wheels-nightly/simple" }, + { name = "rapids-dask-dependency", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10" }, + { name = "rapidsmpf-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10", index = "https://pypi.anaconda.org/rapidsai-wheels-nightly/simple" }, + { name = "ray", extras = ["data", "default"], marker = "python_full_version < '3.11' or python_full_version >= '3.14' or platform_machine != 'x86_64' or sys_platform != 'linux'", specifier = ">=2.55.1" }, + { name = "ray", extras = ["data", "default"], marker = "python_full_version == '3.11.*' and platform_machine == 'x86_64' and sys_platform == 'linux'", url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp311-cp311-manylinux2014_x86_64.whl" }, + { name = "ray", extras = ["data", "default"], marker = "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux'", url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp312-cp312-manylinux2014_x86_64.whl" }, + { name = "ray", extras = ["data", "default"], marker = "python_full_version == '3.13.*' and platform_machine == 'x86_64' and sys_platform == 'linux'", url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp313-cp313-manylinux2014_x86_64.whl" }, + { name = "ray", extras = ["llm", "serve"], marker = "python_full_version == '3.11.*' and platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'inference-server'", url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp311-cp311-manylinux2014_x86_64.whl" }, + { name = "ray", extras = ["llm", "serve"], marker = "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'inference-server'", url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp312-cp312-manylinux2014_x86_64.whl" }, + { name = "ray", extras = ["llm", "serve"], marker = "python_full_version == '3.13.*' and platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'inference-server'", url = "https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-3.0.0.dev0-cp313-cp313-manylinux2014_x86_64.whl" }, + { name = "ray", extras = ["llm", "serve"], marker = "(python_full_version < '3.11' and extra == 'inference-server') or (python_full_version >= '3.14' and extra == 'inference-server') or (platform_machine != 'x86_64' and extra == 'inference-server') or (sys_platform != 'linux' and extra == 'inference-server')", specifier = ">=2.55.1" }, { name = "requests", marker = "extra == 'translation-nmt'" }, { name = "resiliparse", marker = "extra == 'text-cpu'" }, + { name = "rmm-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=26.8.0a0,<26.10" }, { name = "s3fs", marker = "extra == 'interleaved-cpu'", specifier = ">=2024.12.0" }, { name = "s5cmd", marker = "extra == 'text-cpu'" }, { name = "sacrebleu", marker = "extra == 'translation-metrics'", specifier = ">=2.6.0" }, - { name = "scikit-learn", marker = "extra == 'deduplication-cuda12'", specifier = "<1.8.0" }, { name = "scipy", marker = "extra == 'audio-common'" }, { name = "sentence-transformers", marker = "extra == 'text-cpu'" }, { name = "sentencepiece", marker = "extra == 'text-cpu'" }, @@ -5644,10 +6604,10 @@ requires-dist = [ { name = "timm", marker = "extra == 'interleaved-cpu'" }, { name = "torch", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform == 'darwin'", index = "https://pypi.org/simple" }, { name = "torch", marker = "(platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux') or (platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux')" }, - { name = "torch", marker = "(platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'video-cuda12') or (platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'video-cuda12')", specifier = "<=2.10.0" }, - { name = "torch", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'video-cuda12') or (sys_platform == 'darwin' and extra == 'video-cuda12')", specifier = "<=2.10.0", index = "https://pypi.org/simple" }, + { name = "torch", marker = "(platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'video-cuda12') or (platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'video-cuda12')", specifier = "<=2.11.0" }, + { name = "torch", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'video-cuda12') or (sys_platform == 'darwin' and extra == 'video-cuda12')", specifier = "<=2.11.0", index = "https://pypi.org/simple" }, { name = "torch", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')", index = "https://download.pytorch.org/whl/cu129" }, - { name = "torch", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'video-cuda12') or (platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'video-cuda12')", specifier = "<=2.10.0", index = "https://download.pytorch.org/whl/cu129" }, + { name = "torch", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'video-cuda12') or (platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'video-cuda12')", specifier = "<=2.11.0", index = "https://download.pytorch.org/whl/cu129" }, { name = "torchaudio", marker = "(platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'audio-common') or (platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'audio-common')" }, { name = "torchaudio", marker = "(platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'video-cuda12') or (platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'video-cuda12')" }, { name = "torchaudio", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and extra == 'audio-common') or (sys_platform == 'darwin' and extra == 'audio-common')", index = "https://pypi.org/simple" }, @@ -5664,9 +6624,9 @@ requires-dist = [ { name = "trafilatura", marker = "extra == 'text-cpu'", specifier = "==2.0.0" }, { name = "transformers" }, { name = "transformers", marker = "extra == 'audio-common'" }, - { name = "vllm", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin' and extra == 'inference-server'", specifier = "<0.19" }, - { name = "vllm", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin' and extra == 'math-cuda12'", specifier = ">=0.13" }, - { name = "vllm", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin' and extra == 'vllm'", specifier = ">=0.14.1" }, + { name = "ucxx-cu12", marker = "extra == 'deduplication-cuda12'", specifier = ">=0.51.0a0,<0.52" }, + { name = "vllm", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin' and extra == 'math-cuda12'", specifier = ">=0.13", index = "https://wheels.vllm.ai/0.22.0/cu129" }, + { name = "vllm", extras = ["flashinfer", "otel", "runai"], marker = "platform_machine == 'x86_64' and sys_platform != 'darwin' and extra == 'vllm'", specifier = "==0.22.0+cu129", index = "https://wheels.vllm.ai/0.22.0/cu129" }, { name = "warcio", marker = "extra == 'text-cpu'" }, { name = "whisperx", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin' and extra == 'audio-common'", specifier = ">=3.8.4" }, ] @@ -5677,9 +6637,9 @@ build = [ { name = "cython" }, { name = "packaging" }, { name = "setuptools" }, - { name = "torch", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform == 'darwin'", specifier = "<=2.10.0", index = "https://pypi.org/simple" }, - { name = "torch", marker = "(platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux') or (platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux')", specifier = "<=2.10.0" }, - { name = "torch", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')", specifier = "<=2.10.0", index = "https://download.pytorch.org/whl/cu129" }, + { name = "torch", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform == 'darwin'", specifier = "<=2.11.0", index = "https://pypi.org/simple" }, + { name = "torch", marker = "(platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux') or (platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux')", specifier = "<=2.11.0" }, + { name = "torch", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')", specifier = "<=2.11.0", index = "https://download.pytorch.org/whl/cu129" }, ] dev = [{ name = "jupyter" }] linting = [ @@ -5700,7 +6660,7 @@ test = [ { name = "pyyaml" }, { name = "rich" }, { name = "s3fs", specifier = ">=2024.12.0" }, - { name = "scikit-learn", specifier = "<1.8.0" }, + { name = "scikit-learn" }, { name = "slack-sdk" }, ] @@ -5737,6 +6697,7 @@ dependencies = [ { name = "cuda-bindings", version = "12.9.5", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'" }, { name = "fsspec", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "huggingface-hub", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, + { name = "numba", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "numexpr", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "numpy", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "onnx", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, @@ -5747,8 +6708,7 @@ dependencies = [ { name = "setuptools", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "tensorboard", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "text-unidecode", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, - { name = "torch", version = "2.10.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'" }, - { name = "torch", version = "2.10.0+cu129", source = { registry = "https://download.pytorch.org/whl/cu129" }, marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "torch", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, { name = "tqdm", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "wget", marker = "platform_machine == 'x86_64' and sys_platform != 'darwin'" }, { name = "wrapt", marker = 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'3.12' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", ] wheels = [ { url = "https://pypi.nvidia.com/nvidia-cublas-cu12/nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:b86f6dd8935884615a0683b663891d43781b819ac4f2ba2b0c9604676af346d0" }, @@ -6147,14 +7221,57 @@ wheels = [ { url = "https://pypi.nvidia.com/nvidia-cublas-cu12/nvidia_cublas_cu12-12.9.1.4-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:453611eb21a7c1f2c2156ed9f3a45b691deda0440ec550860290dc901af5b4c2" }, ] +[[package]] +name = "nvidia-cuda-cccl-cu12" +version = "12.8.90" +source = { registry = "https://pypi.nvidia.com/" } +resolution-markers = [ + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +wheels = [ + { url = "https://pypi.nvidia.com/nvidia-cuda-cccl-cu12/nvidia_cuda_cccl_cu12-12.8.90-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:1e4b0d0ea7577cc0ccef6ebf9639380d3d30869f0f774b020380d288a49273c2" }, + { url = "https://pypi.nvidia.com/nvidia-cuda-cccl-cu12/nvidia_cuda_cccl_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:575bc5cfb0fe4a1956c539215c0f1e6718821b95a68ef6b7abf226aa87e3a5ad" }, + { url = "https://pypi.nvidia.com/nvidia-cuda-cccl-cu12/nvidia_cuda_cccl_cu12-12.8.90-py3-none-win_amd64.whl", hash = "sha256:33c87915430299b024f5c1426e757dd24ba497094caae7a6c3398b81d921e3ec" }, +] + [[package]] name = "nvidia-cuda-cccl-cu12" version = "12.9.27" source = { registry = "https://pypi.nvidia.com/" } +resolution-markers = [ + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'", +] wheels = [ { url = "https://pypi.nvidia.com/nvidia-cuda-cccl-cu12/nvidia_cuda_cccl_cu12-12.9.27-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d7898b38aa68beaa234d48f0868273702342a196d6e2e9d0ef058dca2390ebea" }, { url = "https://pypi.nvidia.com/nvidia-cuda-cccl-cu12/nvidia_cuda_cccl_cu12-12.9.27-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:37869e17ce2e1ecec6eddf1927cca0f8c34e64fd848d40453df559091e2d7117" }, - { url = "https://pypi.nvidia.com/nvidia-cuda-cccl-cu12/nvidia_cuda_cccl_cu12-12.9.27-py3-none-win_amd64.whl", hash = "sha256:72106f95a9bb3be18472806b4f663ebf0f9248a86d14b4ae3305725b855d9d92" }, ] [[package]] @@ -6171,24 +7288,48 @@ name = "nvidia-cuda-nvcc-cu12" version = "12.8.93" source = { registry = "https://pypi.nvidia.com/" } resolution-markers = [ - "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'darwin'", - "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'darwin'", - "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'darwin'", "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'darwin'", - "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version >= '3.13' and platform_machine == 's390x'", - "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version == '3.12.*' and platform_machine == 's390x'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'darwin'", - "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'darwin'", - "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version < '3.12' and platform_machine == 's390x'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", ] wheels = [ { url = "https://pypi.nvidia.com/nvidia-cuda-nvcc-cu12/nvidia_cuda_nvcc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:2d6dc36fb7cb5ac9c0b8825bc13d193c35487a315664007287d0126531238011" }, @@ -6218,24 +7359,48 @@ name = "nvidia-cuda-nvrtc-cu12" version = "12.8.93" source = { registry = "https://pypi.nvidia.com/" } resolution-markers = [ - "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'darwin'", - "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'darwin'", - "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'darwin'", "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'darwin'", - "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version >= '3.13' and platform_machine == 's390x'", - "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version == '3.12.*' and platform_machine == 's390x'", + "python_full_version >= '3.13' and 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'3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'darwin'", - "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'darwin'", - "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version < '3.12' and platform_machine == 's390x'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", ] wheels = [ { url = "https://pypi.nvidia.com/nvidia-cuda-nvrtc-cu12/nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:a7756528852ef889772a84c6cd89d41dfa74667e24cca16bb31f8f061e3e9994" }, @@ -6265,24 +7430,30 @@ name = "nvidia-cuda-runtime-cu12" version = "12.8.90" source = { registry = "https://pypi.nvidia.com/" } resolution-markers = [ - "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'darwin'", - "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'darwin'", - "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'darwin'", - "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'darwin'", - "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version >= '3.13' and platform_machine == 's390x'", - "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version == '3.12.*' and platform_machine == 's390x'", - "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'darwin'", - "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'darwin'", - "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version < '3.12' and platform_machine == 's390x'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", ] wheels = [ { url = "https://pypi.nvidia.com/nvidia-cuda-runtime-cu12/nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:52bf7bbee900262ffefe5e9d5a2a69a30d97e2bc5bb6cc866688caa976966e3d" }, @@ -6311,9 +7482,52 @@ wheels = [ name = "nvidia-cudnn-cu12" version = "9.10.2.21" source = { registry = "https://pypi.nvidia.com/" } +resolution-markers = [ + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'darwin'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'darwin'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'darwin'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'darwin'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'darwin'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'darwin'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] dependencies = [ { name = "nvidia-cublas-cu12", version = "12.8.4.1", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64') or sys_platform != 'linux'" }, - { name = "nvidia-cublas-cu12", version = "12.9.1.4", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, ] wheels = [ { url = "https://pypi.nvidia.com/nvidia-cudnn-cu12/nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:c9132cc3f8958447b4910a1720036d9eff5928cc3179b0a51fb6d167c6cc87d8" }, @@ -6321,6 +7535,26 @@ wheels = [ { url = "https://pypi.nvidia.com/nvidia-cudnn-cu12/nvidia_cudnn_cu12-9.10.2.21-py3-none-win_amd64.whl", hash = "sha256:c6288de7d63e6cf62988f0923f96dc339cea362decb1bf5b3141883392a7d65e" }, ] +[[package]] +name = "nvidia-cudnn-cu12" +version = "9.17.1.4" +source = { registry = "https://pypi.nvidia.com/" } +resolution-markers = [ + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'linux'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'", +] +dependencies = [ + { name = "nvidia-cublas-cu12", version = "12.9.1.4", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, +] +wheels = [ + { url = "https://pypi.nvidia.com/nvidia-cudnn-cu12/nvidia_cudnn_cu12-9.17.1.4-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:d18d61bdd596fca0dbe459c129f6eb7a24ed2e6de1d7988b0a37ac63184ee05d" }, + { url = "https://pypi.nvidia.com/nvidia-cudnn-cu12/nvidia_cudnn_cu12-9.17.1.4-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:b5083ced291edb2baf8eab09951c6bc58b79b2023c4ec885657a63acdf51d0bd" }, +] + [[package]] name = "nvidia-cudnn-frontend" version = "1.17.0" @@ -6342,21 +7576,27 @@ name = "nvidia-cufft-cu12" version = "11.3.3.83" source = { registry = "https://pypi.nvidia.com/" } resolution-markers = [ - "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version >= '3.13' and platform_machine == 's390x'", - "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version == '3.12.*' and platform_machine == 's390x'", - "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version < '3.12' and platform_machine == 's390x'", -] -dependencies = [ - { name = "nvidia-nvjitlink-cu12", version = "12.8.93", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" }, + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +dependencies = [ + { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform != 'emscripten') or sys_platform == 'win32'" }, ] wheels = [ { url = "https://pypi.nvidia.com/nvidia-cufft-cu12/nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:848ef7224d6305cdb2a4df928759dca7b1201874787083b6e7550dd6765ce69a" }, @@ -6377,7 +7617,7 @@ resolution-markers = [ "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'", ] dependencies = [ - { name = "nvidia-nvjitlink-cu12", version = "12.9.86", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, ] wheels = [ { url = "https://pypi.nvidia.com/nvidia-cufft-cu12/nvidia_cufft_cu12-11.4.1.4-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:1a28c9b12260a1aa7a8fd12f5ebd82d027963d635ba82ff39a1acfa7c4c0fbcf" }, @@ -6398,18 +7638,24 @@ name = "nvidia-curand-cu12" version = "10.3.9.90" source = { registry = "https://pypi.nvidia.com/" } resolution-markers = [ - "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version >= '3.13' and platform_machine == 's390x'", - "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version == '3.12.*' and platform_machine == 's390x'", - "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version < '3.12' and platform_machine == 's390x'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", ] wheels = [ { url = "https://pypi.nvidia.com/nvidia-curand-cu12/nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:dfab99248034673b779bc6decafdc3404a8a6f502462201f2f31f11354204acd" }, @@ -6439,23 +7685,29 @@ name = "nvidia-cusolver-cu12" version = "11.7.3.90" source = { registry = "https://pypi.nvidia.com/" } resolution-markers = [ - "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version >= '3.13' and platform_machine == 's390x'", - "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version == '3.12.*' and platform_machine == 's390x'", - "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version < '3.12' and platform_machine == 's390x'", -] -dependencies = [ - { name = "nvidia-cublas-cu12", version = "12.8.4.1", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" }, - { name = "nvidia-cusparse-cu12", version = "12.5.8.93", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" }, - { name = "nvidia-nvjitlink-cu12", version = "12.8.93", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" }, + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +dependencies = [ + { name = "nvidia-cublas-cu12", version = "12.8.4.1", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform != 'emscripten') or sys_platform == 'win32'" }, + { name = "nvidia-cusparse-cu12", version = "12.5.8.93", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform != 'emscripten') or sys_platform == 'win32'" }, + { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform != 'emscripten') or sys_platform == 'win32'" }, ] wheels = [ { url = "https://pypi.nvidia.com/nvidia-cusolver-cu12/nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:db9ed69dbef9715071232caa9b69c52ac7de3a95773c2db65bdba85916e4e5c0" }, @@ -6478,7 +7730,7 @@ resolution-markers = [ dependencies = [ { name = "nvidia-cublas-cu12", version = "12.9.1.4", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, { name = "nvidia-cusparse-cu12", version = "12.5.10.65", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "nvidia-nvjitlink-cu12", version = "12.9.86", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, ] wheels = [ { url = "https://pypi.nvidia.com/nvidia-cusolver-cu12/nvidia_cusolver_cu12-11.7.5.82-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:62efa83e4ace59a4c734d052bb72158e888aa7b770e1a5f601682f16fe5b4fd2" }, @@ -6490,21 +7742,27 @@ name = "nvidia-cusparse-cu12" version = "12.5.8.93" source = { registry = "https://pypi.nvidia.com/" } resolution-markers = [ - "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version >= '3.13' and platform_machine == 's390x'", - "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version == '3.12.*' and platform_machine == 's390x'", - "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'linux'", - "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64'", - "python_full_version < '3.12' and platform_machine == 's390x'", -] -dependencies = [ - { name = "nvidia-nvjitlink-cu12", version = "12.8.93", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'darwin') or (platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" }, + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] +dependencies = [ + { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform != 'emscripten') or sys_platform == 'win32'" }, ] wheels = [ { url = "https://pypi.nvidia.com/nvidia-cusparse-cu12/nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:9b6c161cb130be1a07a27ea6923df8141f3c295852f4b260c65f18f3e0a091dc" }, @@ -6525,7 +7783,7 @@ resolution-markers = [ "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'", ] dependencies = [ - { name = "nvidia-nvjitlink-cu12", version = "12.9.86", source = { registry = "https://pypi.nvidia.com/" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "nvidia-nvjitlink-cu12", marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, ] wheels = [ { url = "https://pypi.nvidia.com/nvidia-cusparse-cu12/nvidia_cusparse_cu12-12.5.10.65-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:221c73e7482dd93eda44e65ce567c031c07e2f93f6fa0ecd3ba876a195023e83" }, @@ -6545,30 +7803,161 @@ wheels = [ name = "nvidia-cutlass-dsl" version = "4.4.2" source = { registry = "https://pypi.nvidia.com/" } +resolution-markers = [ + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'darwin'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'darwin'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'darwin'", + "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'darwin'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform == 'emscripten'", + "python_full_version >= '3.13' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform == 'emscripten'", + "python_full_version == '3.12.*' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'darwin'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 'x86_64' and sys_platform == 'darwin'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine != 'aarch64' and platform_machine != 's390x' and platform_machine != 'x86_64' and sys_platform != 'emscripten' and sys_platform != 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform == 'win32'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform == 'emscripten'", + "python_full_version < '3.12' and platform_machine == 's390x' and sys_platform != 'emscripten' and sys_platform != 'win32'", +] dependencies = [ - { name = "nvidia-cutlass-dsl-libs-base" }, + { name = "nvidia-cutlass-dsl-libs-base", version = "4.4.2", source = { registry = "https://pypi.nvidia.com/" }, marker = "platform_machine != 'x86_64' or sys_platform == 'darwin'" }, ] wheels = [ { url = "https://pypi.nvidia.com/nvidia-cutlass-dsl/nvidia_cutlass_dsl-4.4.2-py3-none-any.whl", hash = "sha256:7cfb9ef19062b055b9372c7a627004724e2755e4c8b16c3cc88807d64501a4ae" }, ] +[[package]] +name = "nvidia-cutlass-dsl" +version = "4.5.2" +source = { registry = "https://pypi.nvidia.com/" } +resolution-markers = [ + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'linux'", + "python_full_version >= '3.13' and platform_machine == 'x86_64' and sys_platform == 'win32'", + 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