cavis/libnd4j/include/ops/declarable/helpers/cpu/sequence_mask.cpp

43 lines
1.7 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 GS <sgazeos@gmail.com>
//
#include <ops/declarable/helpers/sequence_mask.h>
namespace nd4j {
namespace ops {
namespace helpers {
template <typename I, typename B>
static void sequenceMask_(NDArray* input, NDArray* output, int maxIndex) {
PRAGMA_OMP_PARALLEL_FOR_SIMD_COLLAPSE(2)
for (Nd4jLong i = 0; i < maxIndex; i++)
for(Nd4jLong k = 0; k < input->lengthOf(); k++)
if (i < input->t<I>(k))
output->t<B>(k * maxIndex + i) = B(true); //, T(1.0f));
}
void sequenceMask(nd4j::LaunchContext * context, NDArray* input, NDArray* output, int maxIndex) {
BUILD_DOUBLE_SELECTOR(input->dataType(), output->dataType(), sequenceMask_, (input, output, maxIndex), INTEGER_TYPES, BOOL_TYPES);
}
BUILD_DOUBLE_TEMPLATE(template void sequenceMask_, (NDArray* input, NDArray* output, int maxIndex), INTEGER_TYPES, BOOL_TYPES);
}
}
}