be6d8293f26d6d577b61874ccf6d68f116734d5a,tests/keras/backend/backend_test.py,TestBackend,test_conv,#TestBackend#Any#Any#Any#Any#Any#,1028

Before Change

            op, x, w, [KTH if k == "theano" else KC if k == "cntk" else KTF],
            padding=padding, data_format=data_format,
            cntk_dynamicity=True, return_results=True)
        assert_allclose(y1, y2, atol=1e-05)

    @pytest.mark.parametrize("op,input_shape,kernel_shape,padding,data_format", [
        ("depthwise_conv2d", (2, 3, 4, 5), (3, 3, 3, 2), "same", "channels_first"),
        ("depthwise_conv2d", (2, 3, 5, 6), (4, 3, 3, 4), "valid", "channels_first"),

After Change

        ("conv3d", (1, 3, 5, 4, 2), (3, 3, 3, 2, 3), "same", "channels_last"),
    ])
    def test_conv(self, op, input_shape, kernel_shape, padding, data_format):
        check_two_tensor_operation(
            op, input_shape, kernel_shape, WITH_NP,
            padding=padding, data_format=data_format,
            cntk_dynamicity=True)

    @pytest.mark.parametrize("op,input_shape,kernel_shape,padding,data_format", [
        ("depthwise_conv2d", (2, 3, 4, 5), (3, 3, 3, 2), "same", "channels_first"),
        ("depthwise_conv2d", (2, 3, 5, 6), (4, 3, 3, 4), "valid", "channels_first"),

Instances