wehub-resource-sync
96 lines
3.3 KiB
C++
96 lines
3.3 KiB
C++
/* ******************************************************************************
|
|
*
|
|
*
|
|
* This program and the accompanying materials are made available under the
|
|
* terms of the Apache License, Version 2.0 which is available at
|
|
* https://www.apache.org/licenses/LICENSE-2.0.
|
|
*
|
|
* See the NOTICE file distributed with this work for additional
|
|
* information regarding copyright ownership.
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
|
|
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
|
|
* License for the specific language governing permissions and limitations
|
|
* under the License.
|
|
*
|
|
* SPDX-License-Identifier: Apache-2.0
|
|
******************************************************************************/
|
|
|
|
//
|
|
// Created to use with batched tensor by GS <sgazeos@gmail.com> 3/27/2018
|
|
//
|
|
|
|
#include <ops/declarable/CustomOperations.h>
|
|
#include <ops/declarable/helpers/sequence_mask.h>
|
|
#if NOT_EXCLUDED(OP_sequence_mask)
|
|
namespace sd {
|
|
namespace ops {
|
|
CUSTOM_OP_IMPL(sequence_mask, 1, 1, false, 0, 0) {
|
|
auto input = INPUT_VARIABLE(0);
|
|
auto output = OUTPUT_NULLIFIED(0);
|
|
const int inRank = input->rankOf();
|
|
|
|
// REQUIRE_TRUE(inRank >= 1, 0, "sequence_mask: input array must have rank >= 1, but %i given!", inRank);
|
|
LongType maxInd = input->argMax();
|
|
float max = input->e<float>(maxInd);
|
|
if (block.getIArguments()->size() > 0) {
|
|
maxInd = INT_ARG(0);
|
|
if (maxInd < max) maxInd = static_cast<LongType>(max);
|
|
} else if (block.width() > 1) {
|
|
auto maxlen = INPUT_VARIABLE(1);
|
|
// REQUIRE_TRUE(maxlen->lengthOf() == 1, "sequence_mask: 2nd input (max length) should be a scalar array.");
|
|
float tmaxlen = maxlen->e<float>(0);
|
|
if (tmaxlen > max) maxInd = static_cast<LongType>(tmaxlen);
|
|
} else
|
|
maxInd = static_cast<LongType>(max);
|
|
|
|
helpers::sequenceMask(block.launchContext(), input, output, maxInd);
|
|
|
|
return Status::OK;
|
|
}
|
|
|
|
DECLARE_SHAPE_FN(sequence_mask) {
|
|
LongType* outShapeInfo = nullptr;
|
|
auto in = inputShape->at(0);
|
|
int outRank = shape::rank(in) + 1;
|
|
auto input = INPUT_VARIABLE(0);
|
|
auto dtype = BOOL;
|
|
auto argMaxInd = input->argMax();
|
|
LongType max = input->e<LongType>(argMaxInd);
|
|
LongType maxInd = max;
|
|
|
|
if (block.numD() > 0) dtype = D_ARG(0);
|
|
|
|
if (block.width() > 1) {
|
|
auto maxlen = INPUT_VARIABLE(1);
|
|
LongType tmaxlen = maxlen->e<LongType>(0);
|
|
if (tmaxlen > max) maxInd = static_cast<LongType>(tmaxlen);
|
|
if (block.numI() > 0) {
|
|
dtype = (DataType)INT_ARG(0);
|
|
}
|
|
} else {
|
|
if (block.numI() > 0) {
|
|
maxInd = INT_ARG(0);
|
|
}
|
|
if (maxInd < max) maxInd = max;
|
|
if (block.numI() > 1) dtype = (DataType)INT_ARG(1); // to work with legacy code
|
|
}
|
|
|
|
int lastDimension = maxInd;
|
|
ALLOCATE(outShapeInfo, block.getWorkspace(), shape::shapeInfoLength(outRank), sd::LongType);
|
|
outShapeInfo[0] = outRank;
|
|
for (LongType i = 0; i < outRank - 1; ++i) outShapeInfo[i + 1] = shape::sizeAt(in, i);
|
|
outShapeInfo[outRank] = lastDimension;
|
|
|
|
ShapeUtils::updateStridesAndType(outShapeInfo, dtype, shape::order(in));
|
|
|
|
return SHAPELIST(CONSTANT(outShapeInfo));
|
|
}
|
|
|
|
DECLARE_TYPES(sequence_mask) {
|
|
getOpDescriptor()->setAllowedInputTypes({ALL_INTS})->setAllowedOutputTypes(ANY);
|
|
}
|
|
} // namespace ops
|
|
} // namespace sd
|
|
#endif
|