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[PyTorch] Avoid parameters function in op backward pass #1403

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[PyTorch] Avoid parameters function in op backward pass #1403

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ce8f571
Avoid `parameters` function in op backward pass
timmoon10 Jan 11, 2025
2aa4cf1
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jan 11, 2025
d10252f
Merge branch 'main' into te-sequential-param-count-bugfix
timmoon10 Jan 13, 2025
850500d
Merge branch 'main' into te-sequential-param-count-bugfix
timmoon10 Jan 21, 2025
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10 changes: 5 additions & 5 deletions transformer_engine/pytorch/ops/fuser.py
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Original file line number Diff line number Diff line change
Expand Up @@ -192,7 +192,7 @@ def forward(
func_ctx.backward_ops = backward_ops
func_ctx.basic_ops = basic_ops
func_ctx.basic_op_ctxs = basic_op_ctxs
func_ctx.num_params = num_params
func_ctx.basic_op_num_params = [sum(1 for _ in op.parameters()) for op in basic_ops]
func_ctx.num_extra_inputs = num_extra_inputs
func_ctx.num_extra_outputs = len(extra_outputs_flat)
func_ctx.is_first_module = FP8GlobalStateManager.is_first_fp8_module()
Expand Down Expand Up @@ -258,14 +258,14 @@ def backward(
# Flatten list of parameter gradients
grad_params_flat = []
for idx, dparams in enumerate(grad_params):
params = list(basic_ops[idx].parameters())
num_params = func_ctx.basic_op_num_params[idx]
if dparams is None:
dparams = [None for _ in range(len(params))]
dparams = [None for _ in range(num_params)]
else:
dparams = list(dparams)
if len(dparams) != len(params):
if len(dparams) != num_params:
raise RuntimeError(
f"Expected op {idx} to generate {len(params)} param grads, "
f"Expected op {idx} to generate {num_params} param grads, "
f"but got {len(dparams)}"
)
grad_params_flat.extend(dparams)
Expand Down
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