359e7627b46e850688c95cf6d1de48b77f9df901,keras/backend/tensorflow_backend.py,,bias_add,#Any#Any#Any#,3929

Before Change

        raise ValueError("Unexpected bias dimensions %d, expect to be 1 or %d dimensions"
                         % (len(bias_shape), ndim(x)))
    if ndim(x) == 5:
        if data_format == "channels_first":
            if len(bias_shape) == 1:
                x += reshape(bias, (1, bias_shape[0], 1, 1, 1))
            else:
                x += reshape(bias, (1, bias_shape[3]) + bias_shape[:3])
        elif data_format == "channels_last":
            if len(bias_shape) == 1:
                x += reshape(bias, (1, 1, 1, bias_shape[0]))
            else:
                x += reshape(bias, (1,) + bias_shape)
    elif ndim(x) == 4:
        if data_format == "channels_first":
            if len(bias_shape) == 1:
                if _has_nchw_support():

After Change

                         % (len(bias_shape), ndim(x)))
    if ndim(x) == 5:
        if len(bias_shape) == 1:
            new_shape = (1, 1, 1, 1, bias_shape[0])
        else:
            new_shape = (1,) + bias_shape
        new_shape = transpose_shape(new_shape, data_format, spatial_axes=(1, 2, 3))
        x += reshape(bias, new_shape)
    elif ndim(x) == 4:
        if data_format == "channels_first":
            if len(bias_shape) == 1:

Instances