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).
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2022-10-27 UTC."],[],[]]
