be6d8293f26d6d577b61874ccf6d68f116734d5a,tests/keras/backend/backend_test.py,TestBackend,test_depthwise_conv,#TestBackend#Any#Any#Any#Any#Any#,1045

Before Change

    ])
    def test_depthwise_conv(self, op, input_shape, kernel_shape, padding, data_format):
        k = K.backend()
        _, x = parse_shape_or_val(input_shape)
        _, w = parse_shape_or_val(kernel_shape)
        y1 = KNP.depthwise_conv(x, w, padding, data_format)
        y2 = check_two_tensor_operation(

After Change

        ("depthwise_conv2d", (1, 7, 6, 3), (3, 3, 3, 4), "same", "channels_last"),
    ])
    def test_depthwise_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,pool_size,strides,padding,data_format,pool_mode", [
        ("pool2d", (2, 3, 7, 7), (3, 3), (1, 1), "same", "channels_first", "avg"),
        ("pool2d", (3, 3, 8, 5), (2, 3), (1, 1), "valid", "channels_first", "max"),

Instances