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 AbdelRauf (rauf@konduit.ai)
+//
+// CPU implementation of summary stat reductions (variance, standardDeviation)
+//
+
+#include <helpers/ConstantTadHelper.h>
+#include <legacy/NativeOpExecutioner.h>
+#include <ops/declarable/helpers/reductions.h>
+#include <system/op_enums.h>
+
+namespace sd {
+namespace ops {
+namespace helpers {
+
+//////////////////////////////////////////////////////////////////////////
+void variance(NDArray& input, NDArray& output, const std::vector<LongType>& dimensions, bool biasCorrected) {
+    // Prepares (syncs) buffer of which NDArrays will be used as read, write
+    NDArray::prepareSpecialUse({&output}, {&input});
+
+    if (output.isScalar()) {
+        NativeOpExecutioner::execSummaryStatsScalar(
+            LaunchContext::defaultContext(), variance::SummaryStatsVariance,
+            input.buffer(), input.shapeInfo(), input.specialBuffer(), input.specialShapeInfo(),
+            nullptr,
+            output.buffer(), output.shapeInfo(), output.specialBuffer(), output.specialShapeInfo(),
+            biasCorrected);
+    } else {
+        auto tadPack = ConstantTadHelper::getInstance().tadForDimensions(
+            input.shapeInfo(), const_cast<sd::LongType*>(dimensions.data()), dimensions.size());
+
+        NativeOpExecutioner::execSummaryStats(
+            LaunchContext::defaultContext(), variance::SummaryStatsVariance,
+            input.buffer(), input.shapeInfo(), input.specialBuffer(), input.specialShapeInfo(),
+            nullptr,
+            output.buffer(), output.shapeInfo(), output.specialBuffer(), output.specialShapeInfo(),
+            const_cast<LongType*>(dimensions.data()), dimensions.size(),
+            tadPack->primaryShapeInfo(), tadPack->primaryOffsets(),
+            biasCorrected);
+    }
+
+    // Inform that we are done with those buffers
+    NDArray::registerSpecialUse({&output}, {&input});
+}
+
+//////////////////////////////////////////////////////////////////////////
+void standardDeviation(NDArray& input, NDArray& output, const std::vector<LongType>& dimensions, bool biasCorrected) {
+    // Prepares (syncs) buffer of which NDArrays will be used as read, write
+    NDArray::prepareSpecialUse({&output}, {&input});
+
+    if (output.isScalar()) {
+        NativeOpExecutioner::execSummaryStatsScalar(
+            LaunchContext::defaultContext(), variance::SummaryStatsStandardDeviation,
+            input.buffer(), input.shapeInfo(), input.specialBuffer(), input.specialShapeInfo(),
+            nullptr,
+            output.buffer(), output.shapeInfo(), output.specialBuffer(), output.specialShapeInfo(),
+            biasCorrected);
+    } else {
+        auto tadPack = ConstantTadHelper::getInstance().tadForDimensions(
+            input.shapeInfo(), const_cast<sd::LongType*>(dimensions.data()), dimensions.size());
+
+        NativeOpExecutioner::execSummaryStats(
+            LaunchContext::defaultContext(), variance::SummaryStatsStandardDeviation,
+            input.buffer(), input.shapeInfo(), input.specialBuffer(), input.specialShapeInfo(),
+            nullptr,
+            output.buffer(), output.shapeInfo(), output.specialBuffer(), output.specialShapeInfo(),
+            const_cast<LongType*>(dimensions.data()), dimensions.size(),
+            tadPack->primaryShapeInfo(), tadPack->primaryOffsets(),
+            biasCorrected);
+    }
+
+    // Inform that we are done with those buffers
+    NDArray::registerSpecialUse({&output}, {&input});
+}
+
+}  // namespace helpers
+}  // namespace ops
+}  // namespace sd