chore: import upstream snapshot with attribution

2026-07-13 12:47:05 +08:00
commit 4f3b7da785
7394 changed files with 2005594 additions and 0 deletions
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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 Yurii Shyrma (iuriish@yahoo.com), created on 01.02.2018
+//
+
+#include <system/op_boilerplate.h>
+#if NOT_EXCLUDED(OP_log_softmax)
+
+#include <ops/declarable/CustomOperations.h>
+#include <ops/declarable/helpers/activations.h>
+
+namespace sd {
+namespace ops {
+
+DECLARE_TYPES(log_softmax) { getOpDescriptor()->setAllowedInputTypes({ALL_FLOATS})->setSameMode(true); }
+
+CONFIGURABLE_OP_IMPL(log_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,
+               "LOG_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::logSoftmax(block.launchContext(), input, output, dim);
+
+  return sd::Status::OK;
+}
+
+DECLARE_TYPES(log_softmax_bp) {
+  getOpDescriptor()
+      ->setAllowedInputTypes(0, DataType::ANY)
+      ->setAllowedInputTypes(1, {ALL_FLOATS})
+      ->setAllowedOutputTypes({ALL_FLOATS});
+}
+
+CONFIGURABLE_OP_IMPL(log_softmax_bp, 3, 1, true, 0, 0) {
+  auto input = INPUT_VARIABLE(0);
+  auto gradO = INPUT_VARIABLE(1);
+  auto softmaxOut = INPUT_VARIABLE(2);
+  auto gradI = OUTPUT_VARIABLE(0);
+  gradI->assign(softmaxOut);
+  const int rank = input->rankOf();
+  const int dim = block.getIArguments()->size() > 0 ? INT_ARG(0) : rank - 1;
+
+  REQUIRE_TRUE(dim < rank, 0,
+               "LOG_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);
+
+  helpers::softmax(block.launchContext(), input, gradI, dim);
+
+  std::vector<sd::LongType> dimVec;
+  dimVec.push_back(dim);
+  auto* sumGradOj = gradO->reduceAlongDimension(reduce::Sum, &dimVec, true);
+  
+  // Break down: *gradO - *gradI * sumGradOj
+  auto* product = (*gradI) * (*sumGradOj);
+  auto* assign = (*gradO) - (*product);
+  delete product;
+  delete sumGradOj;
+  
+  gradI->assign(assign);
+  delete assign;
+
+  return sd::Status::OK;
+}
+
+}  // namespace ops
+}  // namespace sd
+
+#endif