a120cb4377c48caba2d2dbb25f126a06568e01be,src/graph_transpiler/webdnn/frontend/keras/layers/convolutional.py,,_convert_conv2d,#Any#Any#,27

Before Change

    w = converter.convert_to_constant_variable(k_op.kernel, Order([Axis.KH, Axis.KW, Axis.C, Axis.N]))

    ksize = tuple(k_op.kernel_size)
    stride = tuple(k_op.strides)
    dilation_rate = tuple(k_op.dilation_rate)
    padding = (parse_padding(k_op.padding, ksize[0], dilation_rate[0]), parse_padding(k_op.padding, ksize[1], dilation_rate[1]))

    y, = Convolution2D(None, ksize=ksize, stride=stride, padding=padding, dilation_rate=dilation_rate)(x, w)

    if k_op.use_bias:

After Change

    w = converter.convert_to_constant_variable(k_op.kernel, Order([Axis.KH, Axis.KW, Axis.C, Axis.N]))

    x, padding = convolution_handler_preprocess(x, ksize=k_op.kernel_size, padding=k_op.padding, dilation_rate=k_op.dilation_rate,
                                                data_format=k_op.data_format)
    y, = Convolution2D(None, ksize=k_op.kernel_size, stride=k_op.strides, padding=padding, dilation_rate=k_op.dilation_rate)(x, w)

Instances