tf.contrib.kfac.fisher_blocks.num_conv_locations( input_shape, strides )
Defined in tensorflow/contrib/kfac/python/ops/fisher_blocks.py
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Returns the number of spatial locations a 2D Conv kernel is applied to.
input_shape
: List of ints representing shape of inputs to tf.nn.convolution().strides
: List of ints representing strides along spatial dimensions as passed in to tf.nn.convolution().A scalar |T| denoting the number of spatial locations for the Conv layer.
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Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/kfac/fisher_blocks/num_conv_locations