89 lines
3.2 KiB
C++
89 lines
3.2 KiB
C++
/* ******************************************************************************
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*
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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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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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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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// @author raver119@gmail.com
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// @author Yurii Shyrma (iuriish@yahoo.com)
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//
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#include <system/op_boilerplate.h>
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#if NOT_EXCLUDED(OP_permute)
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#include <helpers/ShapeUtils.h>
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#include <ops/declarable/CustomOperations.h>
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namespace sd {
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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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auto z = OUTPUT_VARIABLE(0);
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if (x->isEmpty()) {
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REQUIRE_TRUE(z->isEmpty(), 0, "PERMUTE OP: when input is empty, output must also be empty");
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return Status::OK; // No op
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}
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if (block.width() == 1 && block.getIArguments()->size() == 0) {
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NDArray *t = x->transpose();
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z->assign(t);
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// FIXED: transpose() returns a view - only delete if not a view
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if (t != nullptr && !t->isView()) {
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delete t;
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}
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return Status::OK;
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}
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std::vector<LongType> permutationVector = block.width() > 1 ? INPUT_VARIABLE(1)->asVectorT<LongType>() : *block.getIArguments();
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if(permutationVector.size() != static_cast<size_t>(x->rankOf())) {
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sd_printf("PERMUTE OP: permutation vector size was %d and x input rank was %d\n",permutationVector.size(),x->rankOf());
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}
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REQUIRE_TRUE(permutationVector.size() == static_cast<size_t>(x->rankOf()),permutationVector.size(),"PERMUTE OP: number of permutations is less in size than input rank.");
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z->assign(x->permute(permutationVector, false, false));
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return Status::OK;
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}
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//////////////////////////////////////////////////////////////////////////
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DECLARE_TYPES(permute) {
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getOpDescriptor()->setAllowedInputTypes(0, ANY)->setAllowedInputTypes(1, {ALL_INTS})->setSameMode(true);
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}
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//////////////////////////////////////////////////////////////////////////
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DECLARE_SHAPE_FN(permute) {
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auto x = INPUT_VARIABLE(0);
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if (block.width() == 1 && block.getIArguments()->size() == 0) {
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auto ret = ShapeUtils::evalTransposeShapeInfo(*x, block.workspace(), true);
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return SHAPELIST(ret);
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}
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std::vector<LongType> permutationVector = block.width() > 1 ? INPUT_VARIABLE(1)->asVectorT<LongType>() : *block.getIArguments();
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auto outputShapeInfo =
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ShapeUtils::evalPermShapeInfo(permutationVector.data(), x->rankOf(), x, block.workspace(), true);
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return SHAPELIST(outputShapeInfo);
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}
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} // namespace ops
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} // namespace sd
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#endif
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