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deeplearning4j--deeplearning4j/libnd4j/include/ops/declarable/generic/nn/softmax.cpp
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2026-07-13 12:47:05 +08:00

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/* ******************************************************************************
*
*
* 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
******************************************************************************/
//
// @author raver119@gmail.com, created on 29/10/17
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_softmax)
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/activations.h>
namespace sd {
namespace ops {
DECLARE_TYPES(softmax) {
getOpDescriptor()->setAllowedInputTypes({ALL_FLOATS})->setAllowedOutputTypes({ALL_FLOATS})->setSameMode(true);
}
CONFIGURABLE_OP_IMPL(softmax, 1, 1, true, 0, 0) {
auto input = INPUT_VARIABLE(0);
auto output = OUTPUT_VARIABLE(0);
const int rank = input->rankOf();
const int dim = block.getIArguments()->size() > 0 ? INT_ARG(0) : rank - 1;
REQUIRE_TRUE(dim < rank, 0,
"SOFTMAX OP: the value of input integer parameter (dimension) must be less than input array rank %i, "
"but got dimension = %i instead !",
rank, dim);
helpers::softmax(block.launchContext(), input, output, dim);
return sd::Status::OK;
}
CONFIGURABLE_OP_IMPL(softmax_bp, 3, 1, true, 0, 0) {
auto input = INPUT_VARIABLE(0);
auto gradO = INPUT_VARIABLE(1);
auto softmaxedOut = INPUT_VARIABLE(2);
auto gradI = OUTPUT_VARIABLE(0);
const int rank = input->rankOf();
const int dim = block.getIArguments()->size() > 0 ? INT_ARG(0) : rank - 1;
REQUIRE_TRUE(dim < rank, 0,
"SOFTMAX_BP OP: the value of input integer parameter (dimension) must be less than input array rank %i, "
"but got dimension = %i instead !",
rank, dim);
// Refactored to minimize temporary allocations and ensure proper cleanup
gradI->assign(softmaxedOut);
// Perform operations with proper pointer management
std::vector<sd::LongType> dimVector = {dim};
// Compute gradI * gradO - returns pointer
auto* temp = (*gradI) * (*gradO);
// Reduce along dimension - returns pointer
auto* sumAlongDim = temp->reduceAlongDimension(reduce::Sum, &dimVector, true);
delete temp;
// Compute gradO - sumAlongDim - returns pointer
auto* diff = (*gradO) - (*sumAlongDim);
// FIXED: Add defensive check - reduceAlongDimension may return view
if (sumAlongDim != nullptr && !sumAlongDim->isView()) {
delete sumAlongDim;
}
// Compute final result: gradI * diff - returns pointer
auto* result = (*gradI) * (*diff);
delete diff;
// Assign result to output
gradI->assign(result);
delete result;
return sd::Status::OK;
}
DECLARE_TYPES(softmax_bp) {
getOpDescriptor()->setAllowedInputTypes({ALL_FLOATS})->setAllowedOutputTypes({ALL_FLOATS});
}
} // namespace ops
} // namespace sd
#endif