cavis/libnd4j/include/ops/declarable/generic/parity_ops/reduce_dot.cpp

125 lines
4.5 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
******************************************************************************/
//
// Created by george@skymind.io on 6/1/2018.
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include <ops/declarable/helpers/axis.h>
#include <ops/declarable/CustomOperations.h>
namespace nd4j {
namespace ops {
#if NOT_EXCLUDED(OP_reduce_dot_bp)
////////////////////////////////////////////////////////////////////////////////
CUSTOM_OP_IMPL(reduce_dot_bp, 3, 2, false, 0, 0) {
auto x = INPUT_VARIABLE(0);
auto y = INPUT_VARIABLE(1);
auto gradO = INPUT_VARIABLE(2);
auto gradX = OUTPUT_VARIABLE(0);
auto gradY = OUTPUT_VARIABLE(1);
// L(x,y) = SUM(x_i * y_i)
// dL/dx_i = y_i
REQUIRE_TRUE(x->isSameShape(y), 0, "REDUCE_DOT_BP OP: both input arrays x and y should have same shapes, but got %s and %s correspondingly", ShapeUtils::shapeAsString(x).c_str(), ShapeUtils::shapeAsString(y).c_str());
if (gradO->lengthOf() == 1) { // scalar of reduced to scalar with keep dimensions
gradX->assign((*y) * (*gradO));
gradY->assign((*x) * (*gradO));
}
else {
bool keepDims = false;
auto dimensions = *block.getIArguments();
if (block.width() > 3) {
auto axesVector = INPUT_VARIABLE(3);
helpers::adjustAxis(x->rankOf(), axesVector, dimensions);
}
if (block.getBArguments()->size())
keepDims = B_ARG(0);
else if (block.getTArguments()->size())
keepDims = (bool)T_ARG(0);
REQUIRE_TRUE(dimensions.size() <= x->rankOf(), 0, "REDUCE_DOT_BP OP: the number of dimensions to reduce along must be <= input array rank, but got %i instead" , dimensions.size());
for(const auto& item : dimensions)
REQUIRE_TRUE(item >= -x->rankOf() && item < x->rankOf(), 0, "REDUCE_DOT_BP OP: the input dimension to reduce along must be in range [-%i, %i), but got %i instead !" , x->rankOf(), x->rankOf(), item);
if(!keepDims) {
auto gradOShapeKeepDims = ShapeUtils::evalReduceShapeInfo(gradO->ordering(), dimensions, *x, true, false, block.getWorkspace());
auto r = gradO->reshape(gradO->ordering(), ShapeUtils::pullShapeFromShapeInfo(gradOShapeKeepDims)); // for example could be something like [a,b] -> [1,a,1,b]
gradX->assign((*y) * r);
gradY->assign((*x) * r);
}
else {
gradX->assign((*y) * (*gradO));
gradY->assign((*x) * (*gradO));
}
}
return Status::OK();
}
DECLARE_SHAPE_FN(reduce_dot_bp) {
if(shape::length(inputShape->at(2)) > 1) {
bool keepDims = false;
auto dimensions = *block.getIArguments();
if (block.width() > 3) {
auto axesVector = INPUT_VARIABLE(3);
helpers::adjustAxis(INPUT_VARIABLE(0)->rankOf(), axesVector, dimensions);
}
if (block.getBArguments()->size())
keepDims = B_ARG(0);
else if (block.getTArguments()->size())
keepDims = (bool)T_ARG(0);
REQUIRE_TRUE(dimensions.size() <= inputShape->at(0)[0], 0, "REDUCE_DOT_BP OP: the number of dimensions to reduce along must be <= input array rank, but got %i instead" , dimensions.size());
for(const auto& item : dimensions)
REQUIRE_TRUE(item >= -inputShape->at(0)[0] && item < inputShape->at(0)[0], 0, "REDUCE_DOT_BP OP: the input dimension to reduce along must be in range [-%i, %i), but got %i instead !" , inputShape->at(0)[0], inputShape->at(0)[0], item);
}
Nd4jLong *outShapeInfo1, *outShapeInfo2;
COPY_SHAPE(inputShape->at(0), outShapeInfo1);
COPY_SHAPE(inputShape->at(1), outShapeInfo2);
return SHAPELIST(CONSTANT(outShapeInfo1), CONSTANT(outShapeInfo2));
}
DECLARE_TYPES(reduce_dot_bp) {
getOpDescriptor()
->setAllowedInputTypes(nd4j::DataType::ANY)
->setAllowedOutputTypes({ALL_FLOATS});
}
#endif
}
}