tensorflow:: ops:: BatchMatMulV2
#include <math_ops.h>
Multiplies slices of two tensors in batches.
Summary
Multiplies all slices of Tensorx and y (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 the adj_x or adj_y flag to True, which are by default False.
The input tensors x and y are 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[..., :, :])
NOTE: BatchMatMulV2 supports broadcasting in the batch dimensions. More about broadcasting here.
Args:
- 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 (see Attrs):
- adj_x: If
True, adjoint the slices ofx. Defaults toFalse. - adj_y: If
True, adjoint the slices ofy. Defaults toFalse.
Returns:
Output: 3-D or higher with shape[..., r_o, c_o]
Constructors and Destructors |
|
|---|---|
BatchMatMulV2(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y)
|
|
BatchMatMulV2(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y, const BatchMatMulV2::Attrs & attrs)
|
Public attributes |
|
|---|---|
operation
|
|
output
|
|
Public functions |
|
|---|---|
node() const
|
::tensorflow::Node *
|
operator::tensorflow::Input() const
|
|
operator::tensorflow::Output() const
|
|
Public static functions |
|
|---|---|
AdjX(bool x)
|
|
AdjY(bool x)
|
|
Structs |
|
|---|---|
|
tensorflow:: |
Optional attribute setters for BatchMatMulV2. |
Public attributes
operation
Operation operation
output
::tensorflow::Output output
Public functions
BatchMatMulV2
BatchMatMulV2( const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y )
BatchMatMulV2
BatchMatMulV2( const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y, const BatchMatMulV2::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
AdjX
Attrs AdjX( bool x )
AdjY
Attrs AdjY( bool x )