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tf.raw_ops.MatMul

Multiply the matrix "a" by the matrix "b".

The inputs must be two-dimensional matrices and the inner dimension of "a" (after being transposed if transpose_a is true) must match the outer dimension of "b" (after being transposed if transposed_b is true).

Note: The default kernel implementation for MatMul on GPUs uses cublas.
Args
a A Tensor. Must be one of the following types: bfloat16, half, float32, float64, int32, int64, complex64, complex128.
b A Tensor. Must have the same type as a.
transpose_a An optional bool. Defaults to False. If true, "a" is transposed before multiplication.
transpose_b An optional bool. Defaults to False. If true, "b" is transposed before multiplication.
name A name for the operation (optional).
Returns
A Tensor. Has the same type as a.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/MatMul