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
+ ******************************************************************************/
+
+//
+// Created by GS <sgazeos@gmail.com>
+//
+
+#include <ops/declarable/CustomOperations.h>
+#include <ops/declarable/helpers/random_crop.h>
+#if NOT_EXCLUDED(OP_random_crop)
+namespace sd {
+namespace ops {
+
+//////////////////////////////////////////////////////////////////////////
+CUSTOM_OP_IMPL(random_crop, 2, 1, false, 0, 0) {
+  auto input = INPUT_VARIABLE(0);  // values for crop
+  auto shape = INPUT_VARIABLE(1);  // shape for result
+
+  NDArray* reduceShape = nullptr;    // this param is optional
+  auto output = OUTPUT_VARIABLE(0);  //
+
+  int seed = 0;
+
+  if (block.getIArguments()->size() > 0) seed = INT_ARG(0);
+
+  REQUIRE_TRUE(shape->isVector(), 0, "random_crop: Shape tensor should be a vector.");
+
+  REQUIRE_TRUE(input->rankOf() == shape->lengthOf(), 0,
+               "random_crop: The length of the shape vector is not match input rank. %i and %i were given.",
+               input->rankOf(), shape->lengthOf());
+
+  for (int e = 0; e < shape->lengthOf(); ++e) {
+    REQUIRE_TRUE((*shape).e<sd::LongType>(e) <= input->sizeAt(e), 0,
+                 "random_crop: Shape tensor should be less than proper input dimension (dim %i, %i > %i).", e,
+                 (*shape).e<sd::LongType>(e), input->sizeAt(e));
+  }
+
+  return helpers::randomCropFunctor(block, input, shape, output, seed);
+}
+
+DECLARE_SHAPE_FN(random_crop) {
+  auto in = INPUT_VARIABLE(1);
+  auto typeShape = inputShape->at(0);
+  std::vector<LongType> shape(in->lengthOf());
+
+  for (size_t e = 0; e < shape.size(); e++) shape[e] = (*in).e<LongType>(e);
+
+  auto newShape = ConstantShapeHelper::getInstance().createShapeInfo(ArrayOptions::dataType(typeShape), 'c', shape);
+  return SHAPELIST(newShape);
+}
+
+DECLARE_TYPES(random_crop) {
+  getOpDescriptor()->setAllowedInputTypes(ANY)->setAllowedOutputTypes({ALL_FLOATS});
+}
+}  // namespace ops
+}  // namespace sd
+#endif