80 lines
3.1 KiB
C++
80 lines
3.1 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// Created by george@skymind.io on 11/13/2018.
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//
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#include <ops/declarable/CustomOperations.h>
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#include <ops/declarable/helpers/axis.h>
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namespace nd4j {
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namespace ops {
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#if NOT_EXCLUDED(OP_reduce_logsumexp)
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CUSTOM_OP_IMPL(reduce_logsumexp, 1, 1, false, 0, 0) {
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auto input = INPUT_VARIABLE(0);
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auto output = OUTPUT_VARIABLE(0);
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std::vector<int> axes;// = *block.getIArguments();
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if (block.width() > 1) {
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auto axisVector = INPUT_VARIABLE(1);
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helpers::adjustAxis(input->rankOf(), axisVector, axes );
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}
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else if (block.getIArguments()->size() > 0) {
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axes = *block.getIArguments();
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}
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for(const auto& item : axes)
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REQUIRE_TRUE(item >= -input->shapeInfo()[0] && item <input->shapeInfo()[0], 0, "REDUCE_LOGSUMEXP: the input dimension to reduce along must be in range [-%i, %i), but got %i instead !" , input->rankOf(), input->rankOf(), item);
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const bool keepDims = block.getTArguments()->size() > 0 ? (bool)T_ARG(0) : false;
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Nd4jLong maxI = input->argMax();
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auto maxVals = input->e(maxI);
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//void* whereMax = (void*)();
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auto internal = (*input);
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internal -= maxVals;
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internal.applyTransform(transform::Exp, nullptr, nullptr);
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internal.reduceAlongDimension(reduce::Sum, output, axes, keepDims, false); //, (void*)&maxVals);
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output->applyTransform(transform::Log, nullptr, nullptr);
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(*output) += maxVals;
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return ND4J_STATUS_OK;
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}
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DECLARE_TYPES(reduce_logsumexp) {
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getOpDescriptor()
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-> setAllowedInputTypes({ALL_INTS, ALL_FLOATS})
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-> setAllowedOutputTypes({ALL_FLOATS});
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}
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DECLARE_SHAPE_FN(reduce_logsumexp) {
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const bool keepDims = block.getTArguments()->size() > 0 ? (bool)T_ARG(0) : false;
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auto input = INPUT_VARIABLE(0);
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std::vector<int> axes; // = *block.getIArguments();
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if (block.width() > 1) {
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auto axisVector = INPUT_VARIABLE(1);
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helpers::adjustAxis(input->rankOf(), axisVector, axes );
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}
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else if (block.getIArguments()->size() > 0) {
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axes = *block.getIArguments();
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}
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Nd4jLong* outShapeInfo = ShapeUtils::evalReduceShapeInfo(shape::order(inputShape->at(0)), axes, inputShape->at(0), keepDims, false, block.getWorkspace());
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return SHAPELIST(outShapeInfo);
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}
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#endif
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}
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}
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