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[Torch] Pool ops, convert strides and pool_size to int #7517

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Feb 26, 2021
Merged

[Torch] Pool ops, convert strides and pool_size to int #7517

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6e7bf53
Convert strides and pool_size to int
alexwong Feb 24, 2021
b881f70
Make helper function, add test
alexwong Feb 25, 2021
de0a205
Fix lint
alexwong Feb 25, 2021
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20 changes: 20 additions & 0 deletions python/tvm/relay/frontend/pytorch.py
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Original file line number Diff line number Diff line change
Expand Up @@ -841,6 +841,16 @@ def maxpool_2d(self, inputs, input_types):
dilation = inputs[4]
ceil_mode = int(inputs[5])

if isinstance(pool_size, list):
for i in range(len(pool_size)):
if isinstance(pool_size[i], _expr.Constant):
pool_size[i] = int(_infer_value_simulated(pool_size[i], {}).asnumpy())

if isinstance(strides, list):
for i in range(len(strides)):
if isinstance(strides[i], _expr.Constant):
strides[i] = int(_infer_value_simulated(strides[i], {}).asnumpy())

if dilation != [1, 1]:
msg = "MaxPool2d with dilation %s is not implemented" % (str(dilation))
raise NotImplementedError(msg)
Expand Down Expand Up @@ -1322,6 +1332,16 @@ def avg_pool2d(self, inputs, input_types):
ceil_mode = int(inputs[4])
count_include_pad = int(inputs[5])

if isinstance(pool_size, list):
for i in range(len(pool_size)):
if isinstance(pool_size[i], _expr.Constant):
pool_size[i] = int(_infer_value_simulated(pool_size[i], {}).asnumpy())

if isinstance(strides, list):
for i in range(len(strides)):
if isinstance(strides[i], _expr.Constant):
strides[i] = int(_infer_value_simulated(strides[i], {}).asnumpy())

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def func(x):
return _op.nn.avg_pool2d(
x,
Expand Down