Add issue and PR templates & build optimum env cli for Neuron (#463)

* add templates & override env cli

* address comments

* workaround

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -0,0 +1,73 @@
+name: "\U0001F41B Bug Report"
+description: Submit a bug report to help us improve Optimum Neuron
+labels: [ "bug" ]
+body:
+  - type: textarea
+    id: system-info
+    attributes:
+      label: System Info
+      description: Please share your system info with us. You can run the command optimum-cli env and copy-paste its output below.
+      render: shell
+      placeholder: optimum-neuron version, optimum version, platform, python version, ...
+    validations:
+      required: true
+
+  - type: textarea
+    id: who-can-help
+    attributes:
+      label: Who can help?
+      description: |
+        Your issue will be replied to more quickly if you can figure out the right person to tag with @
+        If you know how to use git blame, that is the easiest way, otherwise, here is a rough guide of **who to tag**.
+        Please tag fewer than 3 people.
+
+        - Neuron Training: `@michaelbenayoun`
+        - Export models to Neuron format: `@JingyaHuang`
+        - Inference: `@dacorvo`, `@JingyaHuang`
+        - TGI: `@dacorvo`
+        - Pipelines: `@philschmid`, `@JingyaHuang`
+
+      placeholder: "@Username ..."
+
+  - type: checkboxes
+    id: information-scripts-examples
+    attributes:
+      label: Information
+      description: 'The problem arises when using:'
+      options:
+        - label: "The official example scripts"
+        - label: "My own modified scripts"
+
+  - type: checkboxes
+    id: information-tasks
+    attributes:
+      label: Tasks
+      description: "The tasks I am working on are:"
+      options:
+        - label: "An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)"
+        - label: "My own task or dataset (give details below)"
+
+  - type: textarea
+    id: reproduction
+    validations:
+      required: true
+    attributes:
+      label: Reproduction (minimal, reproducible, runnable)
+      description: |
+        Please provide a code sample that reproduces the problem you ran into. It can be a Colab link or just a code snippet.
+        If you have code snippets, error messages, stack traces please provide them here as well.
+        Important! Use code tags to correctly format your code. See https://help.github.com/en/github/writing-on-github/creating-and-highlighting-code-blocks#syntax-highlighting
+        Do not use screenshots, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.
+        Providing a **minimal**, **reproducible** reproduction using a **publicly available model** significantly increase the chances of a fix in a timely manner.
+
+      placeholder: |
+        Providing a minimal, reproducible reproduction using a publicly available model significantly increase the chances of a fix in a timely manner.
+
+
+  - type: textarea
+    id: expected-behavior
+    validations:
+      required: true
+    attributes:
+      label: Expected behavior
+      description: "A clear and concise description of what you would expect to happen."

.github/ISSUE_TEMPLATE/config.yml

@@ -0,0 +1,12 @@
+blank_issues_enabled: true
+version: 2.1
+contact_links:
+  - name: Model checkpoints on the Hugging Face Hub
+    url: https://huggingface.co/models
+    about: Open a Pull request / Discussion related to a specific model checkpoint directly on the Hugging Face Hub
+  - name: Website Related
+    url: https://github.com/huggingface/hub-docs/issues
+    about: Feature requests and bug reports related to the website
+  - name: Forum
+    url: https://discuss.huggingface.co/
+    about: General usage questions and community discussions

.github/ISSUE_TEMPLATE/feature-request.yml

@@ -0,0 +1,31 @@
+name: "\U0001F680 Feature request"
+description: Submit a proposal/request a new feature on Optimum Neuron
+labels: [ "feature" ]
+body:
+  - type: textarea
+    id: feature-request
+    validations:
+      required: true
+    attributes:
+      label: Feature request
+      description: |
+        A clear and concise description of the feature proposal. Please provide a link to the paper and code in case they exist.
+
+  - type: textarea
+    id: motivation
+    validations:
+      required: true
+    attributes:
+      label: Motivation
+      description: |
+        Please outline the motivation for the proposal. Is your feature request related to a problem? e.g., I'm always frustrated when [...]. If this is related to another GitHub issue, please link here too.
+        
+
+  - type: textarea
+    id: contribution
+    validations:
+      required: true
+    attributes:
+      label: Your contribution
+      description: |
+        Is there any way that you could help, e.g. by submitting a PR?

.github/PULL_REQUEST_TEMPLATE.md

@@ -0,0 +1,21 @@
+# What does this PR do?
+
+<!--
+Congratulations! You've made it this far! You're not quite done yet though.
+
+Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
+
+Then, please replace this with a description of the change and which issue is fixed (if applicable). Please also include relevant motivation and context. List any dependencies (if any) that are required for this change.
+
+Once you're done, someone will review your PR shortly (see the section "Who can review?" below to tag some potential reviewers). They may suggest changes to make the code even better. If no one reviewed your PR after a week has passed, don't hesitate to post a new comment @-mentioning the same persons---sometimes notifications get lost.
+-->
+
+<!-- Remove if not applicable -->
+
+Fixes # (issue)
+
+
+## Before submitting
+- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
+- [ ] Did you make sure to update the documentation with your changes?
+- [ ] Did you write any new necessary tests?

optimum/commands/env.py

@@ -0,0 +1,100 @@
+# Copyright 2024 The HuggingFace Team. 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.
+import platform
+import subprocess
+from typing import Dict, List, Optional
+
+import huggingface_hub
+from pkg_resources import get_distribution
+from transformers import __version__ as transformers_version
+from transformers.utils import is_torch_available
+
+from ..neuron.utils import is_neuron_available, is_neuronx_available
+from ..neuron.version import __sdk_version__ as neuron_sdk_version
+from ..neuron.version import __version__ as optimum_neuron_version
+from ..version import __version__ as optimum_version
+from . import BaseOptimumCLICommand, CommandInfo
+
+
+class EnvironmentCommand(BaseOptimumCLICommand):
+    COMMAND = CommandInfo(name="env", help="Get information about the environment used.")
+
+    @staticmethod
+    def format_dict(d):
+        return "\n".join([f"- {prop}: {val}" for prop, val in d.items()]) + "\n"
+
+    @staticmethod
+    def get_pip_pkgs_version(pkg_list: Optional[List], info: Dict):
+        if pkg_list is not None:
+            for pkg in pkg_list:
+                try:
+                    num_version = get_distribution(pkg).version
+                except Exception:
+                    num_version = "NA"
+                info[f"`{pkg}` version"] = num_version
+        return info
+
+    @staticmethod
+    def print_apt_pkgs():
+        apt = subprocess.Popen(["apt", "list", "--installed"], stdout=subprocess.PIPE)
+        grep = subprocess.Popen(["grep", "aws-neuron"], stdin=apt.stdout, stdout=subprocess.PIPE)
+        pkgs_list = list(grep.stdout)
+        for pkg in pkgs_list:
+            print(pkg.decode("utf-8").split("\n")[0])
+
+    def run(self):
+        pt_version = "not installed"
+        if is_torch_available():
+            import torch
+
+            pt_version = torch.__version__
+
+        platform_info = {
+            "Platform": platform.platform(),
+            "Python version": platform.python_version(),
+        }
+        info = {
+            "`optimum-neuron` version": optimum_neuron_version,
+            "`neuron-sdk` version": neuron_sdk_version,
+            "`optimum` version": optimum_version,
+            "`transformers` version": transformers_version,
+            "`huggingface_hub` version": huggingface_hub.__version__,
+            "`torch` version": f"{pt_version}",
+        }
+
+        if is_neuron_available():
+            neuron_python_pkgs = ["dmlc-tvm", "neuron-cc", "torch-neuron"]
+        elif is_neuronx_available():
+            neuron_python_pkgs = [
+                "aws-neuronx-runtime-discovery",
+                "libneuronxla",
+                "neuronx-cc",
+                "neuronx-distributed",
+                "neuronx-hwm",
+                "torch-neuronx",
+                "torch-xla",
+                "transformers-neuronx",
+            ]
+        else:
+            neuron_python_pkgs = None
+
+        info = self.get_pip_pkgs_version(neuron_python_pkgs, info)
+
+        print("\nCopy-and-paste the text below in your GitHub issue:\n")
+        print("\nPlatform:\n")
+        print(self.format_dict(platform_info))
+        print("\nPython packages:\n")
+        print(self.format_dict(info))
+        print("\nNeuron Driver:\n")
+        self.print_apt_pkgs()