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Add aten::avgpool2d NNAPI converter (#58538)

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Summary:
Add support for aten::avgpool2d op in the NNAPI model converter with var
size support

Pull Request resolved: https://github.com/pytorch/pytorch/pull/58538

Test Plan: pytest test/test_nnapi.py::TestNNAPI::test_avgpool2d

Reviewed By: anshuljain1

Differential Revision: D28531944

fbshipit-source-id: 43ff8c9389365698c282f204042b49c7ec84d824
This commit is contained in:
Akshit Khurana
2021-07-01 14:05:57 -07:00
committed by Facebook GitHub Bot
parent 19b6ee4d4e
commit 369802a504
2 changed files with 73 additions and 2 deletions
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28
test/test_nnapi.py
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@ -251,6 +251,34 @@ class TestNNAPI(TestCase):
self.check(torch.nn.MaxPool2d((3, 4)), inp)
self.check(torch.nn.MaxPool2d((3, 4), (1, 2)), inp)
def test_avg_pool2d(self):
for (name, inp) in self.float_and_quant_and_nhwc(torch.randn(2, 3, 12, 16), 0.3, 128):
with self.subTest(name):
atol_rtol = None
limit = None
convert_dims = (2, 3, 0, 0)
convert_arg = torch.zeros(*convert_dims)
for model in (
torch.nn.AvgPool2d(2),
torch.nn.AvgPool2d((3, 4)),
torch.nn.AvgPool2d((3, 4), (1, 2))):
if "quant" in name:
atol_rtol = (1, 0)
limit = model(inp).numel()
convert_arg = qpt(torch.zeros(*convert_dims), 1.0 / 16, 128)
if "nhwc" in name:
convert_arg = nhwc(convert_arg)
self.check(model, inp, atol_rtol=atol_rtol, limit=limit)
self.check(
model,
inp,
convert_args=[convert_arg],
atol_rtol=atol_rtol,
limit=limit
)
def test_adaptive_avg_pool2d(self):
for (name, inp) in self.float_and_quant_and_nhwc(torch.randn(2, 3, 12, 16), 0.3, 128):
with self.subTest(name):