tf.raw_ops.MatMul

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

tf.raw_ops.MatMul(
    a, b, transpose_a=False, transpose_b=False, name=None
)

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.