python - Stride with different height and width in Tensorflow -

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i'm using tensorflow process 1d signals (shape being (?, 5000, 1, 12)) , perform stride operations. however, when try tf.nn.conv2d(input_variable, w, strides=[1, stride, 1, 1], padding='same'), valueerror:

/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/common_shapes.pyc in conv2d_shape(op)     207   if stride_r != stride_c:     208     # todo(shlens): add support this. --> 209     raise valueerror("current implementation supports equal length "     210                      "strides in row , column dimensions.")     211   valueerror: current implementation supports equal length strides in row , column dimensions.

is there known workaround limits of current implementation, allow me have horizontal stride only?

we're working on supporting strides different lengths.


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