BatchMatMul

tensorflow C++ API

tensorflow::ops::BatchMatMul

Multiplies slices of two tensors in batches.

Summary

Multiplies all slices ofTensorxandy(each slice can be viewed as an element of a batch), and arranges the individual results in a single output tensor of the same batch size. Each of the individual slices can optionally be adjointed (to adjoint a matrix means to transpose and conjugate it) before multiplication by setting theadj_xoradj_yflag toTrue, which are by defaultFalse.

The input tensorsxandyare 2-D or higher with shape[..., r_x, c_x]and[..., r_y, c_y].

The output tensor is 2-D or higher with shape[..., r_o, c_o], where:

r_o = c_x if adj_x else r_x
c_o = r_y if adj_y else c_y

It is computed as:

output
[...,:,:]= matrix(x[...,:,:])* matrix(y[...,:,:])

Arguments:

• scope: A Scope object

• x: 2-D or higher with shape[..., r_x, c_x].

• y: 2-D or higher with shape[..., r_y, c_y]

Optional attributes (seeAttrs):

• adj_x: IfTrue, adjoint the slices ofx. Defaults toFalse.
• adj_y: IfTrue, adjoint the slices ofy. Defaults toFalse.

Returns:

• Output: 3-D or higher with shape[..., r_o, c_o]

Constructor

• BatchMatMul(const ::tensorflow::Scope & scope, ::tensorflow::Input y, ::tensorflow::Input x,const BatchMatMul::Attrs & attrs).

Public attributes

• tensorflow::Output z.

BatchMatMul block

Source link : https://github.com/EXPNUNI/enuSpaceTensorflow/blob/master/enuSpaceTensorflow/tf_math.cpp

Argument:

• Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
• Input y :connect Input node.
• Input x :connect Input node.
• BatchMatMul::Attrs attrs : Input attrs value. ex) adj_x_=false;adj_y_=false;

Return:

• Output z : Output object of BatchMatMul class object.

Result:

• std::vector(Tensor) product_result : Returned object of executed result by calling session.

Using Method

adj_x_ = false;adj_y_ = false;