avgpool1d_test.py

# Copyright (c) Glow Contributors. See CONTRIBUTORS file.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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# pyre-ignore-all-errors

from __future__ import absolute_import, division, print_function, unicode_literals

import torch
import torch.nn.functional as F
from glow.glow.torch_glow.tests.tests import utils


class SimpleAvgPool1dModule(torch.nn.Module):
    def __init__(self, kernel_size, stride=None, padding=0):
        super(SimpleAvgPool1dModule, self).__init__()
        self.kernel_size = kernel_size
        self.padding = padding
        self.stride = stride

    def forward(self, inputs):
        return F.avg_pool1d(
            inputs, self.kernel_size, padding=self.padding, stride=self.stride
        )


class TestAvgPool1d(utils.TorchGlowTestCase):
    def test_avg_pool1d_basic(self):
        """Basic test of the PyTorch avg_pool1d Node on Glow."""
        inputs = torch.randn(1, 4, 9)

        utils.compare_tracing_methods(
            SimpleAvgPool1dModule(3), inputs, fusible_ops={"aten::avg_pool1d"}
        )

    def test_avg_pool1d_with_args(self):
        """Test of the PyTorch avg_pool1d Node with arguments on Glow."""

        inputs = torch.randn(1, 4, 10)

        utils.compare_tracing_methods(
            SimpleAvgPool1dModule(3, stride=7), inputs, fusible_ops={"aten::avg_pool1d"}
        )