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
@@ -0,0 +1,105 @@
+/*
+ *  ******************************************************************************
+ *  *
+ *  *
+ *  * 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
+ *  *****************************************************************************
+ */
+
+//
+// Created by raver119 on 29/10/17.
+//
+
+#include <system/op_boilerplate.h>
+#if NOT_EXCLUDED(OP_randomuniform)
+
+#include <helpers/RandomLauncher.h>
+#include <ops/declarable/CustomOperations.h>
+#include <ops/declarable/helpers/random.h>
+
+namespace sd {
+namespace ops {
+///////////////////////
+/**
+ * uniform distribution
+ * takes 1 ndarray
+ *
+ * T arguments map:
+ * TArgs[0] - min for rng
+ * TArgs[1] - max for rng
+ */
+CUSTOM_OP_IMPL(randomuniform, -1, 1, true, 0, -2) {
+  // uniform distribution
+  auto rng = block.randomGenerator();
+  auto dtype = FLOAT32;
+  if (block.getIArguments()->size()) dtype = (DataType)INT_ARG(0);
+
+  if (block.getIArguments()->size() > 1) {
+    auto seed = INT_ARG(1);
+    rng.setStates(seed, seed ^ 0xdeadbeef);
+    sd_debug("randomuniform: Setting seed %d\n", seed);
+  }
+
+  auto min = block.width() > 1 ? INPUT_VARIABLE(1) : (NDArray*)nullptr;
+  auto max = block.width() > 2 ? INPUT_VARIABLE(2) : (NDArray*)nullptr;
+
+  bool localMin = false;
+  bool localMax = false;
+
+  if ((min == nullptr && max == nullptr) || block.numT() >= 2) {
+    min = NDArrayFactory::create_(dtype, block.launchContext());
+    max = NDArrayFactory::create_(dtype, block.launchContext());
+    min->p(0, T_ARG(0));
+    max->p(0, T_ARG(1));
+    localMin = true;
+    localMax = true;
+  }
+
+  auto output = OUTPUT_VARIABLE(0);
+  REQUIRE_TRUE(output->dataType() == dtype, 0, "RandomUniform: data type of output should be equals to given.");
+
+  helpers::fillRandomUniform(block.launchContext(), rng, min, max, output);
+
+  if (localMin) delete min;
+  if (localMax) delete max;
+
+  return Status::OK;
+}
+
+DECLARE_SHAPE_FN(randomuniform) {
+  auto in = INPUT_VARIABLE(0);
+  auto shape = in->template asVectorT<LongType>();
+  auto dtype = block.getDArguments()->size() > 0 ? D_ARG(0) : FLOAT32;
+
+  if (block.getIArguments()->size()) dtype = (DataType)INT_ARG(0);
+  if (block.width() > 1)
+  REQUIRE_TRUE(dtype == INPUT_VARIABLE(1)->dataType(), 0,
+               "RandomUniform: data type of output and min/max args should be the same");
+
+  auto newShape = ConstantShapeHelper::getInstance().createShapeInfo(dtype, 'c', shape);
+  return SHAPELIST(newShape);
+}
+
+DECLARE_TYPES(randomuniform) {
+  getOpDescriptor()
+      ->setAllowedInputTypes(0, {ALL_INTS})
+      ->setAllowedInputTypes(1, {ALL_INTS, ALL_FLOATS})
+      ->setAllowedInputTypes(2, {ALL_INTS, ALL_FLOATS})
+      ->setAllowedOutputTypes({ALL_FLOATS, ALL_INTS});
+}
+}  // namespace ops
+}  // namespace sd
+
+#endif