108 lines
3.9 KiB
C++
108 lines
3.9 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 raver119 on 29/10/17.
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//
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#include <op_boilerplate.h>
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#if NOT_EXCLUDED(OP_permute)
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#include <ops/declarable/CustomOperations.h>
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#include <helpers/ShapeUtils.h>
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namespace nd4j {
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namespace ops {
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//////////////////////////////////////////////////////////////////////////
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// here iArgs is int vector of ordered set of dimensions to be permuted
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CUSTOM_OP_IMPL(permute, 1, 1, true, 0, -2) {
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auto x = INPUT_VARIABLE(0);
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bool replace = false;
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auto origArgs = block.width() > 1 ? INPUT_VARIABLE(1)->asVectorT<int>() : *block.getIArguments();
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std::vector<int> arguments({});
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if(origArgs.size() > 0){
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for (int e = 0; e < origArgs.size(); e++) {
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int ax = origArgs[e];
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if (ax < 0)
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ax += x->rankOf();
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arguments.emplace_back(ax);
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}
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replace = true;
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} else {
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for (int e = x->rankOf() - 1; e >= 0; e--)
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arguments.emplace_back(e);
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}
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// 0D edge case
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if (x->rankOf() == 0) {
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REQUIRE_TRUE(arguments.size() == 1, 0, "Permute: only one axis is allowed for scalar");
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auto output = OUTPUT_VARIABLE(0);
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if (!block.isInplace())
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output->assign(x);
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return Status::OK();
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}
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if(block.isInplace()) { // in-place
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x->permutei(arguments);
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STORE_RESULT(x);
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} else {
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auto output = OUTPUT_VARIABLE(0);
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auto result = x->permute(arguments);
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output->assign(result);
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STORE_RESULT(output);
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}
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return Status::OK();
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}
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DECLARE_TYPES(permute) {
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getOpDescriptor()
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->setAllowedInputTypes(0, nd4j::DataType::ANY)
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->setAllowedInputTypes(1, {ALL_INTS})
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->setSameMode(true);
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}
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DECLARE_SHAPE_FN(permute) {
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auto shapeList = SHAPELIST();
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auto arguments = block.width() > 1 ? INPUT_VARIABLE(1)->asVectorT<int>() : *block.getIArguments();
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if (shape::rank(inputShape->at(0)) == 0) {
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shapeList->push_back(ConstantShapeHelper::getInstance()->scalarShapeInfo(ArrayOptions::dataType(inputShape->at(0))));
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} else if (inputShape->size() == 1 && !arguments.empty()) {
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shapeList->push_back(ShapeUtils::evalPermShapeInfo(arguments.data(), arguments.size(), *INPUT_VARIABLE(0), block.workspace()));
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} else {
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if(arguments.size() == 0){
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//Reverse dimensions
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int rank = shape::rank(inputShape->at(0));
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for (int e = rank - 1; e >= 0; e--)
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arguments.emplace_back(e);
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}
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shapeList->push_back(ShapeUtils::evalPermShapeInfo(arguments.data(), arguments.size(), *INPUT_VARIABLE(0), block.workspace()));
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}
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return shapeList;
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}
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}
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}
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#endif |