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 George A. Shulinok <sgazeos@gmail.com>
+//
+
+#include <system/op_boilerplate.h>
+#if NOT_EXCLUDED(OP_random_poisson)
+
+#include <ops/declarable/headers/random.h>
+#include <ops/declarable/helpers/random.h>
+
+namespace sd {
+namespace ops {
+CUSTOM_OP_IMPL(random_poisson, 2, 1, false, 0, 0) {
+  // gamma distribution
+  auto rng = block.randomGenerator();
+  auto shape = INPUT_VARIABLE(0);
+  auto lambda = INPUT_VARIABLE(1);
+  auto output = OUTPUT_VARIABLE(0);
+  auto seed = 0;
+  if (block.getIArguments()->size()) {
+    seed = INT_ARG(0);
+  }
+  rng.setSeed(seed);
+  helpers::fillRandomPoisson(block.launchContext(), rng, lambda, output);
+
+  return Status::OK;
+}
+
+DECLARE_SHAPE_FN(random_poisson) {
+  auto in = INPUT_VARIABLE(0);
+  auto shape = in->template asVectorT<LongType>();
+  auto lambdaShape = inputShape->at(1);
+  auto dtype = block.numD() > 0 ? D_ARG(0) : ArrayOptions::dataType(lambdaShape);
+  for (LongType d = 0; d < shape::rank(lambdaShape); ++d) {
+    shape.emplace_back(shape::sizeAt(lambdaShape, d));
+  }
+  auto newShape = ConstantShapeHelper::getInstance().createShapeInfo(dtype, 'c', shape);
+  return SHAPELIST(newShape);
+}
+
+DECLARE_TYPES(random_poisson) {
+  getOpDescriptor()
+      ->setAllowedInputTypes(0, {ALL_INTS})
+      ->setAllowedInputTypes(1, {ALL_FLOATS})
+      ->setAllowedOutputTypes({ALL_FLOATS});
+}
+}  // namespace ops
+}  // namespace sd
+
+#endif