Add tensor parallelism for RWKV

configs/local_setup.yml

@@ -22,6 +22,10 @@
   "load": "checkpoints",
   "checkpoint_validation_with_forward_pass": False,
 
+
+ # "launcher": "openmpi",
+  #"deepspeed_mpi": true,
+
   "tensorboard_dir": "tensorboard",
   "log_dir": "logs",
 }

configs/rwkv/1.5B.yml

@@ -0,0 +1,103 @@
+{
+  # Parallelism is not yet supported for rwkv
+  "pipe_parallel_size": 1,
+  "model_parallel_size": 1,
+
+  "num_layers": 24,
+  "hidden_size": 2048,
+  "num_attention_heads": 32, # head_size = dim_att / num_attention_heads.
+                             # head_size is 64 for all rwkv models
+  "seq_length": 4096,
+  "max_position_embeddings": 4096,
+  "output_layer_parallelism": "column",
+  "norm": "rmsnorm",
+  "rms_norm_epsilon": 1.0e-5,
+  "train_micro_batch_size_per_gpu": 4,
+
+  "attention_config": [[["rwkv"], 24]],
+
+  "activation": "silu",
+
+  # model settings
+
+  #"pos_emb": "rotary",
+  "rotary_pct": 0.25,
+  "no_weight_tying": true,
+  "gpt_j_residual": true,
+
+  # these should provide some speedup but takes a while to build, set to true if desired
+  "scaled_upper_triang_masked_softmax_fusion": false,
+  "bias_gelu_fusion": false,
+  "rope_fusion": false,
+  "layernorm_fusion": false,
+
+
+  # init methods
+  "init_method": "small_init",
+  "output_layer_init_method": "wang_init",
+
+  # optimizer settings
+  "optimizer": {
+    "type": "Adam",
+    "params": {
+      "lr": 0.0008,
+      "betas": [0.9, 0.95],
+      "eps": 1.0e-8,
+    }
+  },
+  "min_lr": 0.00008,
+
+  # for all zero_optimization options, see https://www.deepspeed.ai/docs/config-json/#zero-optimizations-for-fp16-training
+  "zero_optimization": {
+    "stage": 1,
+    "allgather_partitions": True,
+    "allgather_bucket_size": 500000000,
+    "overlap_comm": True,
+    "reduce_scatter": True,
+    "reduce_bucket_size": 500000000,
+    "contiguous_gradients": True,
+  },
+
+  # batch / data settings
+  "data_impl": "mmap",
+  "num_workers": 1,
+
+  # activation checkpointing
+  "checkpoint_activations": true,
+  "checkpoint_num_layers": 1,
+  "partition_activations": true,
+  "synchronize_each_layer": true,
+
+  # regularization
+  "gradient_clipping": 1.0,
+  "weight_decay": 0.1,
+  "hidden_dropout": 0,
+  "attention_dropout": 0,
+
+  # precision settings
+  "bf16": {
+    "bf16": true,
+    "enabled": true,
+    "loss_scale": 0,
+    "loss_scale_window": 1000,
+    "initial_scale_power": 12,
+    "hysteresis": 2,
+    "min_loss_scale": 1,
+  },
+
+  # misc. training settings
+  "train_iters": 320000,
+  "lr_decay_iters": 320000,
+  "distributed_backend": "nccl",
+  "lr_decay_style": "constant",
+  "warmup": 0.01,
+  "checkpoint_factor": 100,
+  "eval_interval": 100000,
+  "eval_iters": 10,
+  "seed": 1234,
+
+  # logging
+  "log_interval": 10,
+  "steps_per_print": 10,
+  "wall_clock_breakdown": true,
+}

configs/rwkv/430M.yml

@@ -0,0 +1,103 @@
+{
+  # Parallelism is not yet supported for rwkv
+  "pipe_parallel_size": 1,
+  "model_parallel_size": 1,
+
+  "num_layers": 24,
+  "hidden_size": 1024,
+  "num_attention_heads": 16, # head_size = dim_att / num_attention_heads.
+                             # head_size is 64 for all rwkv models
+  "seq_length": 4096,
+  "max_position_embeddings": 4096,
+  "output_layer_parallelism": "column",
+  "norm": "rmsnorm",
+  "rms_norm_epsilon": 1.0e-5,
+  "train_micro_batch_size_per_gpu": 1,
+
+  "attention_config": [[["rwkv"], 24]],
+
+  "activation": "silu",
+
+  # model settings
+
+  #"pos_emb": "rotary",
+  "rotary_pct": 0.25,
+  "no_weight_tying": true,
+  "gpt_j_residual": true,
+
+  # these should provide some speedup but takes a while to build, set to true if desired
+  "scaled_upper_triang_masked_softmax_fusion": false,
+  "bias_gelu_fusion": false,
+  "rope_fusion": false,
+  "layernorm_fusion": false,
+
+
+  # init methods
+  "init_method": "small_init",
+  "output_layer_init_method": "wang_init",
+
+  # optimizer settings
+  "optimizer": {
+    "type": "Adam",
+    "params": {
+      "lr": 0.0008,
+      "betas": [0.9, 0.95],
+      "eps": 1.0e-8,
+    }
+  },
+  "min_lr": 0.00008,
+
+  # for all zero_optimization options, see https://www.deepspeed.ai/docs/config-json/#zero-optimizations-for-fp16-training
+  "zero_optimization": {
+    "stage": 1,
+    "allgather_partitions": True,
+    "allgather_bucket_size": 500000000,
+    "overlap_comm": True,
+    "reduce_scatter": True,
+    "reduce_bucket_size": 500000000,
+    "contiguous_gradients": True,
+  },
+
+  # batch / data settings
+  "data_impl": "mmap",
+  "num_workers": 1,
+
+  # activation checkpointing
+  "checkpoint_activations": true,
+  "checkpoint_num_layers": 1,
+  "partition_activations": true,
+  "synchronize_each_layer": true,
+
+  # regularization
+  "gradient_clipping": 1.0,
+  "weight_decay": 0.1,
+  "hidden_dropout": 0,
+  "attention_dropout": 0,
+
+  # precision settings
+  "bf16": {
+    "bf16": true,
+    "enabled": true,
+    "loss_scale": 0,
+    "loss_scale_window": 1000,
+    "initial_scale_power": 12,
+    "hysteresis": 2,
+    "min_loss_scale": 1,
+  },
+
+  # misc. training settings
+  "train_iters": 320000,
+  "lr_decay_iters": 320000,
+  "distributed_backend": "nccl",
+  "lr_decay_style": "constant",
+  "warmup": 0.01,
+  "checkpoint_factor": 100,
+  "eval_interval": 100000,
+  "eval_iters": 10,
+  "seed": 1234,
+
+  # logging
+  "log_interval": 10,
+  "steps_per_print": 10,
+  "wall_clock_breakdown": true,
+}

configs/rwkv/7B.yml

@@ -0,0 +1,102 @@
+{
+  # Parallelism is not yet supported for rwkv
+  "pipe_parallel_size": 1,
+  "model_parallel_size": 1,
+
+  "num_layers": 32,
+  "hidden_size": 4096,
+  "num_attention_heads": 64, # head_size = dim_att / num_attention_heads.
+                             # head_size is 64 for all rwkv models
+  "seq_length": 4096,
+  "max_position_embeddings": 4096,
+  "output_layer_parallelism": "column",
+  "norm": "rmsnorm",
+  "rms_norm_epsilon": 1.0e-5,
+  "train_micro_batch_size_per_gpu": 8,
+
+  "attention_config": [[["rwkv"], 32]],
+
+  "activation": "silu",
+
+  # model settings
+
+  #"pos_emb": "rotary",
+  "rotary_pct": 0.25,
+  "no_weight_tying": true,
+  "gpt_j_residual": true,
+
+  # these should provide some speedup but takes a while to build, set to true if desired
+  "scaled_upper_triang_masked_softmax_fusion": false,
+  "bias_gelu_fusion": false,
+  "rope_fusion": false,
+  "layernorm_fusion": false,
+
+
+  # init methods
+  "init_method": "small_init",
+  "output_layer_init_method": "wang_init",
+
+  # optimizer settings
+  "optimizer": {
+    "type": "Adam",
+    "params": {
+      "lr": 0.0008,
+      "betas": [0.9, 0.95],
+      "eps": 1.0e-8,
+    }
+  },
+  "min_lr": 0.00008,
+
+  # for all zero_optimization options, see https://www.deepspeed.ai/docs/config-json/#zero-optimizations-for-fp16-training
+  "zero_optimization": {
+    "stage": 1,
+    "allgather_partitions": True,
+    "allgather_bucket_size": 500000000,
+    "overlap_comm": True,
+    "reduce_scatter": True,
+    "reduce_bucket_size": 500000000,
+    "contiguous_gradients": True,
+  },
+
+  # batch / data settings
+  "data_impl": "mmap",
+  "num_workers": 1,
+
+  # activation checkpointing
+  "checkpoint_activations": true,
+  "checkpoint_num_layers": 1,
+  "partition_activations": true,
+  "synchronize_each_layer": true,
+
+  # regularization
+  "gradient_clipping": 1.0,
+  "weight_decay": 0.1,
+  "hidden_dropout": 0,
+  "attention_dropout": 0,
+
+  # precision settings
+  "bf16": {
+    "bf16": true,
+    "enabled": true,
+    "loss_scale": 0,
+    "loss_scale_window": 1000,
+    "initial_scale_power": 12,
+    "hysteresis": 2,
+    "min_loss_scale": 1,
+  },
+
+  # misc. training settings
+  "train_iters": 500,
+  "lr_decay_iters": 500,
+  "distributed_backend": "nccl",
+  "lr_decay_style": "constant",
+  "warmup": 0.01,
+  "checkpoint_factor": 100,
+  "eval_interval": 100000,
+  "eval_iters": 10,
+
+  # logging
+  "log_interval": 10,
+  "steps_per_print": 10,
+  "wall_clock_breakdown": true,
+}

megatron/model/gpt2_model.py

@@ -258,6 +258,7 @@ def init_specs(self):
                     LayerSpec(
                         RWKVResidualLayerPipe,
                         neox_args=self.neox_args,
+                        init_method=self.init_method,
                         layer_number=i,
                     )
                 )