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> on 4/6/2018.
+//
+#include <array/ResultSet.h>
+#include <ops/declarable/helpers/diag.h>
+#if NOT_EXCLUDED(OP_diag)
+namespace sd {
+namespace ops {
+namespace helpers {
+
+//////////////////////////////////////////////////////////////////////////
+// Returns a batched matrix tensor with new batched diagonal values.
+// for detailed explanations please take a look on web page:
+// https://www.tensorflow.org/api_docs/python/tf/matrix_set_diag
+template <typename T>
+static void _diagFunctor(NDArray* input, NDArray* output) {
+  const int inLength = input->isScalar() ? 1 : input->lengthOf();
+
+  for (int i = 0; i < inLength; ++i) output->p<T>(i * (inLength + 1), (*input).e<T>(i));
+}
+
+void diagFunctor(sd::LaunchContext* context, NDArray* input, NDArray* output) {
+  auto xType = input->dataType();
+
+  BUILD_SINGLE_SELECTOR(xType, _diagFunctor, (input, output), SD_COMMON_TYPES);
+}
+
+BUILD_SINGLE_TEMPLATE( void _diagFunctor, (NDArray* input, NDArray* output);, SD_COMMON_TYPES);
+
+void diagPartFunctor(sd::LaunchContext* context, NDArray * input, NDArray* output) {
+  const int outLen = output->lengthOf();
+  const int inLen = input->lengthOf();
+  int i(0), j(0);
+  while (j < outLen) {
+    auto currE = input->e(i);
+    output->p(j, &currE);
+    i += outLen + 1;
+    ++j;
+  }
+}
+
+}  // namespace helpers
+}  // namespace ops
+}  // namespace sd
+#endif