Login Register

tf.einsum()

tf.einsum(axes, *inputs)

A generalized contraction between tensors of arbitrary dimension.

Like numpy.einsum.

Links:

https://www.tensorflow.org/versions/master/api_docs/python/math_ops.html#einsum

doc_TensorFlow

2025-01-10 15:47:30

Comments

Leave a Comment

Please login to continue.

Popular Articles

numpy.einsum() numpy.einsum(subscripts, *operands, out=None, dtype=None, order='K', casting='safe') Evaluates the Einstein summation convention on the operands.

tf.minimum() tf.minimum(x, y, name=None) Returns the min of x and y (i.e. x < y ? x : y) element-wise. NOTE: Minimum supports broadcasting. More about broadca

tf.truediv() tf.truediv(x, y, name=None) Divides x / y elementwise, always producing floating point results. The same as tf.div for floating point arguments, but

tf.where() tf.where(input, name=None) Returns locations of true values in a boolean tensor. This operation returns the coordinates of true elements in input. T

tf.IdentityReader class tf.IdentityReader A Reader that outputs the queued work as both the key and value. To use, enqueue strings in a Queue. Read will take the fron