106 lines
3.9 KiB
C++
106 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 to use with batched tensor by GS <sgazeos@gmail.com> 3/27/2018
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//
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#include <ops/declarable/CustomOperations.h>
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#include <ops/declarable/helpers/sequence_mask.h>
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namespace nd4j {
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namespace ops {
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CUSTOM_OP_IMPL(sequence_mask, 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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const int inRank = input->rankOf();
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//REQUIRE_TRUE(inRank >= 1, 0, "sequence_mask: input array must have rank >= 1, but %i given!", inRank);
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Nd4jLong maxInd = input->argMax();
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float max = input->e<float>(maxInd);
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if (block.getIArguments()->size() > 0) {
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maxInd = INT_ARG(0);
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if (maxInd < max)
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maxInd = static_cast<Nd4jLong>(max);
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}
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else if (block.width() > 1) {
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auto maxlen = INPUT_VARIABLE(1);
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//REQUIRE_TRUE(maxlen->lengthOf() == 1, "sequence_mask: 2nd input (max length) should be a scalar array.");
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float tmaxlen = maxlen->e<float>(0);
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if (tmaxlen > max)
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maxInd = static_cast<Nd4jLong>(tmaxlen);
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}
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else
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maxInd = static_cast<Nd4jLong>(max);
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helpers::sequenceMask(block.launchContext(), input, output, maxInd);
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return Status::OK();
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}
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DECLARE_SHAPE_FN(sequence_mask) {
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Nd4jLong* outShapeInfo = nullptr;
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auto in = inputShape->at(0);
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int outRank = shape::rank(in) + 1;
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auto input = INPUT_VARIABLE(0);
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auto dtype = DataType::BOOL;
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Nd4jLong maxInd = input->argMax();
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Nd4jLong max = input->e<Nd4jLong>(maxInd);
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if (block.getIArguments()->size() > 0) {
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if (block.width() < 2) {
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maxInd = INT_ARG(0);
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if (maxInd < max)
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maxInd = static_cast<Nd4jLong>(max);
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if (block.getIArguments()->size() > 1)
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dtype = (DataType)INT_ARG(1);
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}
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else {
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dtype = (DataType)INT_ARG(0);
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}
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}
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if (block.width() > 1) {
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auto maxlen = INPUT_VARIABLE(1);
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Nd4jLong tmaxlen = maxlen->e<Nd4jLong>(0);
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if (tmaxlen > max)
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maxInd = static_cast<Nd4jLong>(tmaxlen);
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}
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else
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maxInd = static_cast<Nd4jLong>(max);
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int lastDimension = maxInd;
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ALLOCATE(outShapeInfo, block.getWorkspace(), shape::shapeInfoLength(outRank), Nd4jLong);
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outShapeInfo[0] = outRank;
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for(int i = 0; i < outRank - 1; ++i)
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outShapeInfo[i + 1] = shape::sizeAt(in, i);
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outShapeInfo[outRank] = lastDimension;
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ShapeUtils::updateStridesAndType(outShapeInfo, dtype, shape::order(in));
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return SHAPELIST(CONSTANT(outShapeInfo));
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}
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DECLARE_TYPES(sequence_mask) {
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getOpDescriptor()
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->setAllowedInputTypes({ALL_INTS})
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->setAllowedOutputTypes(nd4j::DataType::ANY);
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}
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}
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}
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