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fix upsample flops compute by skipping unused kargs #2773

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Merged
cli99 merged 3 commits into from
Feb 1, 2023
Merged

fix upsample flops compute by skipping unused kargs #2773

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9c5191a
fix upsample flops compute by skipping unused kargs
cli99 Jan 31, 2023
831c80e
fix format
cli99 Jan 31, 2023
96c8f82
Merge branch 'master' into flops-profiler-skip-unused-args
cli99 Feb 1, 2023
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12 changes: 5 additions & 7 deletions deepspeed/profiling/flops_profiler/profiler.py
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Original file line number Diff line number Diff line change
Expand Up @@ -511,7 +511,7 @@ def _silu_flops_compute(input: Tensor, inplace: bool = False):
return input.numel(), 0


def _gelu_flops_compute(input):
def _gelu_flops_compute(input, **kwargs):
return input.numel(), 0


Expand Down Expand Up @@ -668,16 +668,14 @@ def _instance_norm_flops_compute(
return input.numel() * (5 if has_affine else 4), 0


def _upsample_flops_compute(input,
size=None,
scale_factor=None,
mode="nearest",
align_corners=None):
def _upsample_flops_compute(input, **kwargs):
size = kwargs.get('size', None)
if size is not None:
if isinstance(size, tuple):
if isinstance(size, tuple) or isinstance(size, list):
return int(_prod(size)), 0
else:
return int(size), 0
scale_factor = kwargs.get('scale_factor', None)
assert scale_factor is not None, "either size or scale_factor should be defined"
flops = input.numel()
if isinstance(scale_factor, tuple) and len(scale_factor) == len(input):
Expand Down