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Add warning to compile rmsnorm #505

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Aug 6, 2024
Merged

Add warning to compile rmsnorm #505

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badb800
Add warning to compile rmsnorm
wanchaol Aug 6, 2024
acde09f
lint
wanchaol Aug 6, 2024
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5 changes: 5 additions & 0 deletions torchtitan/models/norms.py
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Original file line number Diff line number Diff line change
Expand Up @@ -43,6 +43,11 @@ def build_norm(norm_type: str, dim: int, eps: float = 1e-6):
elif norm_type == "rmsnorm":
return RMSNorm(dim, eps=eps)
elif norm_type == "compiled_rmsnorm":
import warnings

warnings.warn(
"compiled_rmsnorm is currently experimental and not ready to use yet."
)
return RMSNorm(dim, eps=eps, compile=True)
elif norm_type == "fused_rmsnorm":
return FusedRMSNorm(dim, eps=eps)
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2 changes: 1 addition & 1 deletion train_configs/debug_model.toml
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Expand Up @@ -21,7 +21,7 @@ save_tb_folder = "tb"
[model]
name = "llama3"
flavor = "debugmodel"
norm_type = "compiled_rmsnorm" # layernorm / np_layernorm / rmsnorm / compiled_rmsnorm / fused_rmsnorm
norm_type = "rmsnorm" # layernorm / np_layernorm / rmsnorm / compiled_rmsnorm / fused_rmsnorm
# test tokenizer.model, for debug purpose only
tokenizer_path = "./test/assets/test_tiktoken.model"

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2 changes: 1 addition & 1 deletion train_configs/llama2_13b.toml
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Expand Up @@ -18,7 +18,7 @@ save_tb_folder = "tb"
[model]
name = "llama2"
flavor = "13B"
norm_type = "rmsnorm" # layernorm / np_layernorm / rmsnorm / compiled_rmsnorm / fused_rmsnorm
norm_type = "rmsnorm" # layernorm / np_layernorm / rmsnorm / fused_rmsnorm
tokenizer_path = "./torchtitan/datasets/tokenizer/tokenizer.model"

[optimizer]
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2 changes: 1 addition & 1 deletion train_configs/llama2_70b.toml
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Expand Up @@ -18,7 +18,7 @@ save_tb_folder = "tb"
[model]
name = "llama2"
flavor = "70B"
norm_type = "rmsnorm" # layernorm / np_layernorm / rmsnorm / compiled_rmsnorm / fused_rmsnorm
norm_type = "rmsnorm" # layernorm / np_layernorm / rmsnorm / fused_rmsnorm
tokenizer_path = "./torchtitan/datasets/tokenizer/tokenizer.model"

[optimizer]
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2 changes: 1 addition & 1 deletion train_configs/llama2_7b.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,7 @@ save_tb_folder = "tb"
[model]
name = "llama2"
flavor = "7B"
norm_type = "rmsnorm" # layernorm / np_layernorm / rmsnorm / compiled_rmsnorm / fused_rmsnorm
norm_type = "rmsnorm" # layernorm / np_layernorm / rmsnorm / fused_rmsnorm
tokenizer_path = "./torchtitan/datasets/tokenizer/tokenizer.model"

[optimizer]
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2 changes: 1 addition & 1 deletion train_configs/llama3_405b.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ save_tb_folder = "tb"
[model]
name = "llama3"
flavor = "405B"
norm_type = "rmsnorm" # layernorm / np_layernorm / rmsnorm / compiled_rmsnorm / fused_rmsnorm
norm_type = "rmsnorm" # layernorm / np_layernorm / rmsnorm / fused_rmsnorm
tokenizer_path = "./torchtitan/datasets/tokenizer/original/tokenizer.model"

[optimizer]
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2 changes: 1 addition & 1 deletion train_configs/llama3_70b.toml
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ save_tb_folder = "tb"
[model]
name = "llama3"
flavor = "70B"
norm_type = "rmsnorm" # layernorm / np_layernorm / rmsnorm / compiled_rmsnorm / fused_rmsnorm
norm_type = "rmsnorm" # layernorm / np_layernorm / rmsnorm / fused_rmsnorm
tokenizer_path = "./torchtitan/datasets/tokenizer/original/tokenizer.model"

[optimizer]
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2 changes: 1 addition & 1 deletion train_configs/llama3_8b.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ save_tb_folder = "tb"
[model]
name = "llama3"
flavor = "8B"
norm_type = "rmsnorm" # layernorm / np_layernorm / rmsnorm / compiled_rmsnorm / fused_rmsnorm
norm_type = "rmsnorm" # layernorm / np_layernorm / rmsnorm / fused_rmsnorm
tokenizer_path = "./torchtitan/datasets/tokenizer/original/tokenizer.model"

[optimizer]
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