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[operator_benchmark] Added channels last 3d option to interpolate test (#53117)

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Summary:
Description:

- Added channels last 3d option to interpolate test
  - split config non-4d into two : 3d and 5d

Pull Request resolved: https://github.com/pytorch/pytorch/pull/53117

Reviewed By: NicolasHug

Differential Revision: D26754243

Pulled By: fmassa

fbshipit-source-id: 49bbab3bb47de27790e39537d0fbeca0f01782c4
This commit is contained in:
vfdev-5 2021-03-02 11:48:57 -08:00 committed by Facebook GitHub Bot
parent 62d1cdd725
commit cb1596a193
1 changed files with 24 additions and 7 deletions
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31
benchmarks/operator_benchmark/pt/interpolate_test.py
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@ -10,7 +10,14 @@ class InterpolateBenchmark(op_bench.TorchBenchmarkBase):
input_image = torch.randint(0, 256, size=input_size, dtype=torch.float, device='cpu',
requires_grad=self.auto_set())
if channels_last:
input_image = input_image.contiguous(memory_format=torch.channels_last)
if input_image.ndim == 4:
input_image = input_image.contiguous(memory_format=torch.channels_last)
elif input_image.ndim == 5:
input_image = input_image.contiguous(memory_format=torch.channels_last_3d)
else:
raise ValueError(
f"Can not set channels_last to the input of {input_image.ndim} dims"
)
ndim_to_mode = {
3: 'linear',
@ -61,13 +68,10 @@ config_long = op_bench.config_list(
)
config_not_4d = op_bench.config_list(
# no channels_last as it's only valid for 4D tensors
config_3d = op_bench.config_list(
# no channels_last for 3D tensors
attr_names=["input_size", "output_size"],
attrs=[
[(1, 3, 16, 320, 320), (8, 256, 256)],
[(1, 3, 16, 320, 320), (32, 512, 512)],
[(4, 512, 320), (256,)],
[(4, 512, 320), (512,)],
],
@ -75,7 +79,20 @@ config_not_4d = op_bench.config_list(
)
for config in (config_short, config_long, config_not_4d):
config_5d = op_bench.config_list(
attr_names=["input_size", "output_size"],
attrs=[
[(1, 3, 16, 320, 320), (8, 256, 256)],
[(1, 3, 16, 320, 320), (32, 512, 512)],
],
cross_product_configs={
'channels_last': [True, False],
},
tags=["long"],
)
for config in (config_short, config_long, config_3d, config_5d):
op_bench.generate_pt_test(config, InterpolateBenchmark)