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mamba fixes and cleaning #1262

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Aug 27, 2024
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mamba fixes and cleaning #1262

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adc4aec
mamba fixes and cleaning
jahatef Aug 20, 2024
0aaaa32
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jahatef Aug 20, 2024
94b03f5
revert assertion change for now
Aug 24, 2024
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68 changes: 67 additions & 1 deletion configs/mamba/mamba-1.4B.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -19,5 +19,71 @@
"mamba_inner_func_fusion": true, # supersedes scan or conv fusion
"activation": "silu",

"output_layer_init_method": "single_residual_scaled_normal",
# init methods
"init_method": "small_init",
"output_layer_init_method": "single_residual_scaled_normal",

# optimizer settings
"optimizer": {
"type": "Adam",
"params": {
"lr": 0.0002,
"betas": [0.9, 0.95],
"eps": 1.0e-8,
}
},
"min_lr": 0.00002,

# 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
"train_micro_batch_size_per_gpu": 4,
"data_impl": "mmap",

# 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
"fp16": {
"fp16": true,
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"hysteresis": 2,
"min_loss_scale": 1
},

# misc. training settings
"train_iters": 320000,
"lr_decay_iters": 320000,
"distributed_backend": "nccl",
"lr_decay_style": "cosine",
"warmup": 0.01,
"checkpoint_factor": 10000,
"eval_interval": 1000,
"eval_iters": 10,

# logging
"log_interval": 1,
"steps_per_print": 10,
"keep_last_n_checkpoints": 4,
"wall_clock_breakdown": true,
}
69 changes: 67 additions & 2 deletions configs/mamba/mamba-130M.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -19,5 +19,70 @@
"mamba_inner_func_fusion": true, # supersedes scan or conv fusion
"activation": "silu",

"output_layer_init_method": "single_residual_scaled_normal",
}
# init methods
"init_method": "small_init",
"output_layer_init_method": "single_residual_scaled_normal",


# optimizer settings
"optimizer": {
"type": "Adam",
"params": {
"lr": 0.0006,
"betas": [0.9, 0.95],
"eps": 1.0e-8,
}
},
"min_lr": 0.00006,

# 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
"train_micro_batch_size_per_gpu": 4,
"data_impl": "mmap",

# 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": 0.0,
"attention_dropout": 0.0,

# precision settings
"fp16": {
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"hysteresis": 2,
"min_loss_scale": 1
},

# misc. training settings
"train_iters": 320000,
"lr_decay_iters": 320000,
"distributed_backend": "nccl",
"lr_decay_style": "cosine",
"warmup": 0.01,
"checkpoint_factor": 10000,
"eval_interval": 1000,
"eval_iters": 10,

# logging
"log_interval": 100,
"steps_per_print": 10,
"keep_last_n_checkpoints": 4,
"wall_clock_breakdown": true,
68 changes: 67 additions & 1 deletion configs/mamba/mamba-2.8B.yml
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -19,5 +19,71 @@
"mamba_inner_func_fusion": true, # supersedes scan or conv fusion
"activation": "silu",

"output_layer_init_method": "single_residual_scaled_normal",
# init methods
"init_method": "small_init",
"output_layer_init_method": "single_residual_scaled_normal",

# optimizer settings
"optimizer": {
"type": "Adam",
"params": {
"lr": 0.00016,
"betas": [0.9, 0.95],
"eps": 1.0e-8,
}
},
"min_lr": 0.000016,

# 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
"train_micro_batch_size_per_gpu": 4,
"data_impl": "mmap",

# 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
"fp16": {
"fp16": true,
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"hysteresis": 2,
"min_loss_scale": 1
},

# misc. training settings
"train_iters": 320000,
"lr_decay_iters": 320000,
"distributed_backend": "nccl",
"lr_decay_style": "cosine",
"warmup": 0.01,
"checkpoint_factor": 10000,
"eval_interval": 1000,
"eval_iters": 10,

# logging
"log_interval": 100,
"steps_per_print": 10,
"keep_last_n_checkpoints": 4,
"wall_clock_breakdown": true,
}
69 changes: 67 additions & 2 deletions configs/mamba/mamba-370M.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -12,12 +12,77 @@
"norm": "rmsnorm",
"rms_norm_epsilon": 1.0e-5,

"attention_config": [[["mamba"], 64]],
"attention_config": [[["mamba"], 48]],

"mamba_selective_scan_fusion": true,
"mamba_causal_conv_fusion": true,
"mamba_inner_func_fusion": true, # supersedes scan or conv fusion
"activation": "silu",

"output_layer_init_method": "single_residual_scaled_normal",
# init methods
"init_method": "small_init",
"output_layer_init_method": "single_residual_scaled_normal",

# optimizer settings
"optimizer": {
"type": "Adam",
"params": {
"lr": 0.0003,
"betas": [0.9, 0.95],
"eps": 1.0e-8,
}
},
"min_lr": 0.00003,

# 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
"train_micro_batch_size_per_gpu": 4,
"data_impl": "mmap",

# 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
"fp16": {
"fp16": true,
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"hysteresis": 2,
"min_loss_scale": 1
},

# misc. training settings
"train_iters": 320000,
"lr_decay_iters": 320000,
"distributed_backend": "nccl",
"lr_decay_style": "cosine",
"warmup": 0.01,
"checkpoint_factor": 10000,
"eval_interval": 1000,
"eval_iters": 10,

# logging
"log_interval": 100,
"steps_per_print": 10,
"keep_last_n_checkpoints": 4,
"wall_clock_breakdown": true,
}
70 changes: 68 additions & 2 deletions configs/mamba/mamba-790M.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -12,12 +12,78 @@
"norm": "rmsnorm",
"rms_norm_epsilon": 1.0e-5,

"attention_config": [[["mamba"], 64]],
"attention_config": [[["mamba"], 48]],

"mamba_selective_scan_fusion": true,
"mamba_causal_conv_fusion": true,
"mamba_inner_func_fusion": true, # supersedes scan or conv fusion
"activation": "silu",

"output_layer_init_method": "single_residual_scaled_normal",
# init methods
"init_method": "small_init",
"output_layer_init_method": "single_residual_scaled_normal",

# optimizer settings
"optimizer": {
"type": "Adam",
"params": {
"lr": 0.00025,
"betas": [0.9, 0.999],
"eps": 1.0e-8,
}
},
"min_lr": 0.000025,

# 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
"train_micro_batch_size_per_gpu": 4,
"data_impl": "mmap",

# 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
"fp16": {
"fp16": true,
"enabled": true,
"loss_scale": 0,
"loss_scale_window": 1000,
"hysteresis": 2,
"min_loss_scale": 1
},

# misc. training settings
"train_iters": 320000,
"lr_decay_iters": 320000,
"distributed_backend": "nccl",
"lr_decay_style": "cosine",
"warmup": 0.01,
"checkpoint_factor": 10000,
"eval_interval": 1000,
"eval_iters": 10,

# logging
"log_interval": 100,
"steps_per_print": 10,
"keep_last_n_checkpoints": 4,
"wall_clock_breakdown": true,
}
5 changes: 2 additions & 3 deletions megatron/model/mamba/mamba.py
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Original file line number Diff line number Diff line change
Expand Up @@ -13,9 +13,8 @@
from causal_conv1d import causal_conv1d_fn
import einops
except ModuleNotFoundError:
print(
"Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, or directly from https://github.com/state-spaces/mamba"
)
print( "Unable to import Mamba kernels. Install them from our requirements/requirements-mamba.txt, \
or directly from https://github.com/state-spaces/mamba")
pass

from megatron.model.norms import get_norm
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