cavis/libnd4j/include/ops/declarable/generic/nlp/skipgram.cpp

93 lines
3.6 KiB
C++

/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* 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.
*
* 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
******************************************************************************/
//
// @author raver119@gmail.com
//
#include <op_boilerplate.h>
#if NOT_EXCLUDED(OP_skipgram)
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/sg_cb.h>
namespace nd4j {
namespace ops {
CONFIGURABLE_OP_IMPL(skipgram, 12, 12, true, 0, 0) {
auto target = INPUT_VARIABLE(0);
auto ngStarter = INPUT_VARIABLE(1);
// required part
auto indices = INPUT_VARIABLE(2);
auto codes = INPUT_VARIABLE(3);
auto syn0 = INPUT_VARIABLE(4);
auto syn1 = INPUT_VARIABLE(5);
auto syn1neg = INPUT_VARIABLE(6);
auto expTable = INPUT_VARIABLE(7);
auto negTable = INPUT_VARIABLE(8);
auto alpha = INPUT_VARIABLE(9);
auto randomValue = INPUT_VARIABLE(10);
auto inferenceVector = INPUT_VARIABLE(11);
//auto neu1e = INPUT_VARIABLE(12);
auto numWorkers = block.numI() > 0 ? INT_ARG(0) : omp_get_max_threads();
auto nsRounds = block.numI() > 1 ? INT_ARG(1) : 0;
auto isInference = block.numB() > 0 ? B_ARG(0) : false;
auto isPreciseMode = block.numB() > 1 ? B_ARG(1) : false;
REQUIRE_TRUE(block.isInplace(), 0, "SkipGram: this operation requires inplace execution only");
REQUIRE_TRUE(syn0->dataType() == syn1->dataType() && syn0->dataType() == syn1neg->dataType(), 0, "SkipGram: all syn tables must have the same data type");
REQUIRE_TRUE(syn0->dataType() == expTable->dataType(), 0, "SkipGram: expTable must have the same data type as syn0 table");
nd4j::ops::helpers::skipgram(*syn0, *syn1, *syn1neg, *expTable, *negTable, *target, *ngStarter, nsRounds, *indices, *codes, *alpha, *randomValue, *inferenceVector, isPreciseMode, numWorkers);
return Status::OK();
}
DECLARE_TYPES(skipgram) {
getOpDescriptor()
->setAllowedInputTypes(0, nd4j::DataType::INT32)
->setAllowedInputTypes(1, nd4j::DataType::INT32)
->setAllowedInputTypes(2, nd4j::DataType::INT32)
->setAllowedInputTypes(3, nd4j::DataType::INT8)
->setAllowedInputTypes(4, {ALL_FLOATS})
->setAllowedInputTypes(5, {ALL_FLOATS})
->setAllowedInputTypes(6, {ALL_FLOATS})
->setAllowedInputTypes(7, {ALL_FLOATS})
->setAllowedInputTypes(8, {ALL_FLOATS})
->setAllowedInputTypes(9, {ALL_FLOATS})
->setAllowedInputTypes(10, nd4j::DataType::INT64)
->setAllowedInputTypes(11, {ALL_FLOATS})
->setAllowedOutputTypes(nd4j::DataType::ANY);
}
/*
DECLARE_SHAPE_FN(skipgram) {
return SHAPELIST(ShapeBuilders::createScalarShapeInfo(DataType::INT8, block.getWorkspace()));
}
*/
}
}
#endif