131 lines
4.2 KiB
C++
131 lines
4.2 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_unstack)
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#include <ops/declarable/CustomOperations.h>
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#include<ops/declarable/helpers/stack.h>
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namespace sd {
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namespace ops {
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CUSTOM_OP_IMPL(unstack, 1, -1, false, 0, 1) {
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auto input = INPUT_VARIABLE(0);
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auto dim = INT_ARG(0);
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if (dim < 0)
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dim += input->rankOf();
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REQUIRE_TRUE(dim < input->rankOf(), 0, "Unstack dimension should be lower then rank of input %i, but got dimension=%i !", input->rankOf(), dim);
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REQUIRE_TRUE(dim >= 0, 0, "Unstack dimension should be non-negative value, but got %i !", dim);
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if(input->isEmpty())
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return Status::OK();
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std::vector<NDArray*> outArrs(input->sizeAt(dim));
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for(uint i = 0; i < outArrs.size(); ++i)
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outArrs[i] = OUTPUT_VARIABLE(i);
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helpers::unstack(block.launchContext(), *input, outArrs, dim);
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return Status::OK();
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}
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DECLARE_SYN(unpack, unstack);
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DECLARE_SHAPE_FN(unstack) {
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auto inShapeInfo = inputShape->at(0);
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auto dim = INT_ARG(0);
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if (dim < 0)
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dim += shape::rank(inShapeInfo);
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REQUIRE_TRUE(dim < inShapeInfo[0], 0, "UNSTACK op: dimension should be lower then rank of input %i, but got dimension=%i !", inShapeInfo[0], dim);
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REQUIRE_TRUE(dim >= 0, 0, "UNSTACK op: dimension should be non-negative value, but got %i !", dim);
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if(ArrayOptions::arrayType(inShapeInfo) == ArrayType::EMPTY) {
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if(shape::shapeOf(inShapeInfo)[dim] == 0)
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return SHAPELIST();
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const Nd4jLong numTads = shape::shapeOf(inShapeInfo)[dim];
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std::vector<Nd4jLong> outShape;
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for(uint i = 0; i < shape::rank(inShapeInfo); ++i)
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if(i != dim)
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outShape.push_back(shape::shapeOf(inShapeInfo)[i]);
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auto result = SHAPELIST();
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for(uint i = 0; i < numTads; ++i)
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result->push_back(ConstantShapeHelper::getInstance().createShapeInfo(ArrayOptions::dataType(inShapeInfo), shape::order(inShapeInfo), outShape));
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return result;
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}
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std::vector<int> dims = ShapeUtils::evalDimsToExclude(inShapeInfo[0], {dim});
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if (dims.size() == 0 && shape::rank(inShapeInfo) == 1) { // split vector into lenthOf scalars
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auto result = SHAPELIST();
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for (Nd4jLong e = 0; e < shape::length(inShapeInfo); e++)
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result->push_back(ConstantShapeHelper::getInstance().scalarShapeInfo(ArrayOptions::dataType(inShapeInfo)));
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return result;
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}
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std::vector<Nd4jLong> subArrShape(shape::rank(inShapeInfo) - 1);
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for(uint j = 0, i = 0; i < shape::rank(inShapeInfo); i++)
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if(i != dim)
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subArrShape[j++] = shape::shapeOf(inShapeInfo)[i];
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// remove leading and trailing 1
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if (inShapeInfo[0] == 2 && subArrShape.size() == 2) {
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if (subArrShape[0] == 1)
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subArrShape.erase(subArrShape.begin());
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else if (subArrShape[1] == 1)
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subArrShape.erase(subArrShape.end());
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}
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auto result = SHAPELIST();
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for (int e = 0; e < shape::shapeOf(inShapeInfo)[dim]; e++) {
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auto newShape = ConstantShapeHelper::getInstance().createShapeInfo(ArrayOptions::dataType(inShapeInfo), shape::order(inShapeInfo), subArrShape);
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result->push_back(newShape);
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}
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return result;
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}
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DECLARE_TYPES(unstack) {
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getOpDescriptor()
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->setAllowedInputTypes({ALL_FLOATS, ALL_INTS})
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->setSameMode(true);
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}
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}
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}
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#endif |