tf.sparse_minimum()
  • References/Big Data/TensorFlow/TensorFlow Python/Sparse Tensors

tf.sparse_minimum(sp_a, sp_b, name=None) Returns the element-wise min of two SparseTensors. Assumes

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tf.sparse_maximum()
  • References/Big Data/TensorFlow/TensorFlow Python/Sparse Tensors

tf.sparse_maximum(sp_a, sp_b, name=None) Returns the element-wise max of two SparseTensors. Assumes

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tf.SparseTensorValue.
  • References/Big Data/TensorFlow/TensorFlow Python/Sparse Tensors

tf.SparseTensorValue.__getstate__() Exclude the OrderedDict from pickling

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tf.SparseTensorValue.values
  • References/Big Data/TensorFlow/TensorFlow Python/Sparse Tensors

tf.SparseTensorValue.values Alias for field number 1

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tf.sparse_reduce_sum()
  • References/Big Data/TensorFlow/TensorFlow Python/Sparse Tensors

tf.sparse_reduce_sum(sp_input, reduction_axes=None, keep_dims=False) Computes the sum of elements across dimensions of a SparseTensor

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tf.SparseTensorValue.
  • References/Big Data/TensorFlow/TensorFlow Python/Sparse Tensors

tf.SparseTensorValue.__repr__() Return a nicely formatted representation string

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tf.sparse_softmax()
  • References/Big Data/TensorFlow/TensorFlow Python/Sparse Tensors

tf.sparse_softmax(sp_input, name=None) Applies softmax to a batched N-D SparseTensor. The

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tf.SparseTensor.
  • References/Big Data/TensorFlow/TensorFlow Python/Sparse Tensors

tf.SparseTensor.__div__(sp_x, y) Component-wise divides a SparseTensor by a dense Tensor. Limitation:

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tf.SparseTensorValue
  • References/Big Data/TensorFlow/TensorFlow Python/Sparse Tensors

class tf.SparseTensorValue SparseTensorValue(indices, values, shape)

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tf.SparseTensorValue.indices
  • References/Big Data/TensorFlow/TensorFlow Python/Sparse Tensors

tf.SparseTensorValue.indices Alias for field number 0

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