raver119 320924278d
Legacy API changes (#441)
* initial commit

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* another initial commit

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* another initial commit

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* one more initial commit

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* next step

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* next step

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* Refactored buffer() and shapeInfo() methods usage with NDArray class.

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* Adopt Graph class methods to use const shapes.

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* Adopt choose op to use constant shapes.

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* Adopt where op shape method to use constant shapes.

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* Adopt lstsq op to use constant empty shapes.

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* Adopt matrix_diag_part op shape routine to use constant shapes.

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* Adopt determinant ops to use constant shapes.

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* Adopt mean_pairwssqerr_loss ops to use constant shapes.

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* Adopt ops shape methods.

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* Adopt shape methods for loss ops.

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* Adopt log_loss op shape method.

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* Adopt shape methods for ops.

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* Adopt dilation2d ops shape methods.

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* Adopted deconv2d ops shape methods.

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* Adopted dynamicRNN op shape method.

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* Adopted shape methods for ops.

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* Adopted shape methods for lstm layer ops.

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* few updates

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* first cuda tweak

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* Adopt constant shapes for sconv2d ops.

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* Adopt constant shapes for gru ops.

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* Adopt constant shapes with shape methods for segment ops and so on.

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* Adopted constant shapes with unsorted_segment_* ops.

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* Adopted constant shapes with gamma op shape method.

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* Adopted shape methods of reduce_stddev ops.

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* Adopted shape methods for reduce_* ops.

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* Adopt shape method for squeeze op.

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* Adopt strided_slice shape method.

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* Refactored concat op shape method to adopt constant shapes.

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* Adopted shape method for mirror_pad op.

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* Adopted split op shape method.

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* Adopted tile ops shape methods.

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* Added const cast for mkldnn routines handles.

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* Refactored logSoftMaxForVector_ routine to conform with proper data and shape pointer casts.

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* Cosmetic changes to proper usage of constant pointers.

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* Refactored a couple shape comparators for strides and addBias helpers to proper use data pointers with inplace option.

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* Refactored depthToSpace helpers.

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* Refactored histogram helpers.

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* Refactored im2col helpers.

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* Refactored gather and gatherND helpers.

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* Fixed buffer usage on percentile helper.

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* Fixed gather shape with helpers and range buffer usage.

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* Fixed buffer usage with space to depth helpers.

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* Fixed buffer usage and constant shapes.

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* Fixed buffer usage with LUP decomposition>

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* Refactored onehot_ helper.

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* Refactored pad and prefix to use constant shapes.

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* Refactoed softmax helpers.

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* Fixed space to batch helpers to use buffers properly.

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* Fixed stack and split helpers.

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* Fixed buffer usage with sparse to dense helpers.

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* Fixed buffer usage with mindistance_ helpers.

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* Fixed buffer usage with tile helper.

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* Fixed constant shape usage.

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* Fixed constant shape usage with legacy pairwise bool ops.

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* Refactored a couple of methods to adopt constant shape usage.

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* Fixed broadcasting with constant shape."

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* Fixed const usage with inplace reverse and constant shapes with legacy reduction.

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* Refactored legacy ops with const shapes.

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* Refactored sort to adopt constant shapes.

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* Corrected sort for constant shape usage.

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* Fixed constant shape usage with special methods.

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* Refactored Context to conform with constant shape usage.

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* CUDA broadcasting headers

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* pairwise/indexreduce/random headers

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* Refactored native ops to adopt constant shapes.

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* legacy reduce3/scalar headers

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* Corrected pullRow signature and tests.

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* Corrected routines to proper use of constant shapes.

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* Refactored tests to use constant shapes properly.

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* Refactored legacy ops tests to use constant shapes properly.

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* Refactored buffer usage with NDArray tests.

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* Fixed native ops tests.

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* Fixed special concat routine.

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* Fixed buffer usage with test.

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* Fixed buffer usage with a test.

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* Refactored TAD.h and tests.

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* Refactored calcStrides* routines to use constant shapes.

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* Fixed miscelaneous errors with constant shapes.

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* NativeOps const changes

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* Corrected definitions for declared functions.

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* NativeOps const changes

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* few more const changes

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* Fixed const shapes with shape routines.

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* few more const changes

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* Fixed shape method for broadcastable case.

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* few more const changes

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* xw_plus_b BP shape fn restored

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* Fixed signatures with broadcasting.

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* Repaired backprops shape methods for a set of operations.

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* Refactored broadcast bool for cuda.

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* Refactored methods for 3 args with const qualifier.

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* Fixed a couple of kernel signatures for broadcasting.

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* Fixed kernels signatures for const buffers and shapes.

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* Refactored pairwise methods to persistent buffers and shapes usage.

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* Adopt const to buffers and shapes with kernels.

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* Adopt const to buffers and shapes with scalar kernels.

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* Refactored indexreduce kernels signatures to use const buffers and shapes.

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* Refactored pairwise kernels to adopt cons shapes and buffers.

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* Refactored pairwise bool kernels to adopt cons shapes and buffers.

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* Refactored random special ops to conform with const shapes and buffers.

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* Refactored native ops to conform with const shapes and buffers under cuda platform.

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* Cosmetical changes only.

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* Fixed const shapes and buffers error.

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* Corrected start pos routine.

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* Refactored methods to conform with const shapes and buffers.

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* Refactored helpers to use proper methods instead.

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* bunch of changes

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* next bunch of changes

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* next bunch of changes

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* Fixed execScalar declaration.

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* Fixed execScalar declaration.

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* Corrected const shape cases with sort and so on.

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* Fixed const shapes for sort.

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* Refactored kernel declarations to adopt const shapes.

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* Fixed kernels declarations to adopt const shapes.

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* Corrected kernel declarations to adopt const shapes and buffers.

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* Fixed kernels declarations to adopt const shapes.

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* Fixed segment helpers kernels declarations and so on to adopt const shapes.

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* Fixed const shape usage with segment and solve helpers.

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* Fixed kernel declaration with adjustWeight helper.

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* Fixed cuda implementations for constant shape helpers.

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* Adopted const shape usage with kernels.

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* Adopted top_k kernels to use const shapes and buffers.

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* Corrected kernels declarations to adopt const shapes with helpers.

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* Refactored NDArray definitions to adopt const shapes and buffers.

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* Fixed const shapes with image suppression helpers.

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* Slight improvement with buffers.

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* Refactored buffer usage.

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* Refactored buffer usage with tests.

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* Fixed const shape usage with definitions.

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* minor updates on cpu side

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* Refactored const shape usage with ConstantDescritor and native ops with cuda platform.

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* Refactored tear and tile kernels to adopt with const shapes.

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* softmax_loop fix

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* update missing signature

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* softmax again

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* few more missing consts

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* new methods updated

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Co-authored-by: shugeo <sgazeos@gmail.com>
2020-05-09 08:06:14 +03:00

167 lines
5.5 KiB
C++

/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include <helpers/logger.h>
#include <graph/profiling/NodeProfile.h>
#include <helpers/ShapeUtils.h>
namespace sd {
namespace graph {
NodeProfile::NodeProfile(int id, const char *name) {
_id = id;
if (name != nullptr)
_name = name;
};
void NodeProfile::printOut() {
nd4j_printf("Node: <%i:%s>\n", _id, _name.c_str());
nd4j_printf(" Memory: ACT: %lld; TMP: %lld; OBJ: %lld; TTL: %lld;\n", _memoryActivations / _merges, _memoryTemporary / _merges, _memoryObjects / _merges, _memoryTotal / _merges);
nd4j_printf(" Time: PREP: %lld ns; EXEC: %lld ns; TTL: %lld ns;\n", _preparationTime / _merges, _executionTime / _merges, _totalTime / _merges);
nd4j_printf(" PREP: INPUT: %lld ns; SHAPE: %lld ns; ARRAY: %lld ns;\n", _inputTime / _merges, _shapeTime / _merges, _arrayTime / _merges);
std::string inputs;
std::string outputs;
int cnt = 0;
for (const auto &v: _inputShapes)
inputs += v + " ";
for (const auto &v: _outputShapes)
outputs += v + " ";
nd4j_printf(" Inputs: %s\n", inputs.c_str());
nd4j_printf(" Outputs: %s\n", outputs.c_str());
};
Nd4jLong NodeProfile::getActivationsSize() const {
return _memoryActivations;
}
void NodeProfile::setShapeFunctionTime(Nd4jLong time) {
_shapeTime = time;
}
void NodeProfile::setArrayTime(Nd4jLong time) {
_arrayTime = time;
}
void NodeProfile::setInputTime(Nd4jLong time) {
_inputTime = time;
}
Nd4jLong NodeProfile::getTemporarySize() const{
return _memoryTemporary;
}
Nd4jLong NodeProfile::getObjectsSize() const{
return _memoryObjects;
}
Nd4jLong NodeProfile::getTotalSize() const{
return _memoryTotal;
}
void NodeProfile::setBuildTime(Nd4jLong time) {
_buildTime = time;
}
void NodeProfile::setPreparationTime(Nd4jLong time) {
_preparationTime = time;
}
void NodeProfile::setExecutionTime(Nd4jLong time) {
_executionTime = time;
}
void NodeProfile::setTotalTime(Nd4jLong time) {
_totalTime = time;
}
void NodeProfile::setActivationsSize(Nd4jLong bytes) {
_memoryActivations = bytes;
}
void NodeProfile::setTemporarySize(Nd4jLong bytes) {
_memoryTemporary = bytes;
}
void NodeProfile::setObjectsSize(Nd4jLong bytes) {
_memoryObjects = bytes;
}
void NodeProfile::setTotalSize(Nd4jLong bytes) {
_memoryTotal = bytes;
}
Nd4jLong NodeProfile::getExecutionTime() const {
return _executionTime;
}
void NodeProfile::addInputShape(Nd4jLong const* shapeInfo) {
_inputShapes.emplace_back(ShapeUtils::shapeInfoAsString(shapeInfo));
}
void NodeProfile::addOutputShape(Nd4jLong const*shapeInfo) {
_outputShapes.emplace_back(ShapeUtils::shapeInfoAsString(shapeInfo));
}
void NodeProfile::merge(NodeProfile *other) {
_merges += other->_merges;
_memoryObjects += other->_memoryObjects;
_memoryActivations += other->_memoryActivations;
_memoryTemporary += other->_memoryTemporary;
_memoryTotal += other->_memoryTotal;
_preparationTime += other->_preparationTime;
_executionTime += other->_executionTime;
_totalTime += other->_totalTime;
_shapeTime += other->_shapeTime;
_arrayTime += other->_arrayTime;
_inputTime += other->_inputTime;
_inputShapes = other->_inputShapes;
_outputShapes = other->_outputShapes;
}
std::string& NodeProfile::name() {
return _name;
}
void NodeProfile::assign(NodeProfile *other) {
_merges = other->_merges;
_memoryObjects = other->_memoryObjects;
_memoryActivations = other->_memoryActivations;
_memoryTemporary = other->_memoryTemporary;
_memoryTotal = other->_memoryTotal;
_preparationTime = other->_preparationTime;
_executionTime = other->_executionTime;
_totalTime = other->_totalTime;
_shapeTime = other->_shapeTime;
_arrayTime = other->_arrayTime;
_inputTime = other->_inputTime;
_inputShapes = other->_inputShapes;
_outputShapes = other->_outputShapes;
}
}
}