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 raver119@gmail.com
+//
+
+#include <system/op_boilerplate.h>
+#if NOT_EXCLUDED(OP_select)
+
+#include <helpers/ShapeUtils.h>
+#include <ops/declarable/CustomOperations.h>
+
+namespace sd {
+namespace ops {
+CUSTOM_OP_IMPL(select, 3, 1, false, 0, 0) {
+  auto cond = INPUT_VARIABLE(0);
+  auto x = INPUT_VARIABLE(1);
+  auto y = INPUT_VARIABLE(2);
+  //TODO: for some reason y being empty
+  //should not necessarily yield an empty result
+  //the loss test I'm currently dealing with seems
+  //to need to output a value yet it ends up being empty.
+  //we need to figure out why
+  if(x->isEmpty() || y->isEmpty() || cond->isEmpty()) {
+    return Status::OK;
+  }
+  if (x->isScalar()) {
+    REQUIRE_TRUE(cond->isScalar(), 0,
+                 "Select: Condition should gave either equal shape to X/Y first dimension or to be scalar");
+
+    auto z = OUTPUT_VARIABLE(0);
+
+    if (y->isR()) {
+#ifdef HAS_DOUBLE
+      auto v = !cond->e<bool>(0) ? y->e<double>(0) : x->e<double>(0);
+#elif defined(HAS_FLOAT32)
+      auto v = !cond->e<bool>(0) ? y->e<float>(0) : x->e<float>(0);
+#else
+#error "No floating-point type available for select operation"
+#endif
+      z->p(0, v);
+    } else {
+      auto v = !cond->e<bool>(0) ? y->e<LongType>(0) : x->e<LongType>(0);
+      z->p(0, v);
+    }
+  } else {
+    bool same = cond->isSameShape(x);
+    REQUIRE_TRUE(cond->isScalar() || cond->lengthOf() == x->sizeAt(0) || same, 0,
+                 "Select: Condition should gave either equal shape to X/Y first dimension or to be scalar");
+    if (same) {
+      auto z = OUTPUT_VARIABLE(0);
+
+      for (int e = 0; e < cond->lengthOf(); e++) {
+        if (y->isR()) {
+#ifdef HAS_DOUBLE
+          auto r = !cond->e<bool>(e) ? y->e<double>(e) : x->e<double>(e);
+#elif defined(HAS_FLOAT32)
+          auto r = !cond->e<bool>(e) ? y->e<float>(e) : x->e<float>(e);
+#else
+#error "No floating-point type available for select operation"
+#endif
+          z->p(e, r);
+        } else {
+          auto r = !cond->e<bool>(e) ? y->e<LongType>(e) : x->e<LongType>(e);
+          z->p(e, r);
+        }
+      }
+    } else {
+      REQUIRE_TRUE(cond->lengthOf() == x->sizeAt(0), 0,
+                   "Condition length should be equal to the dim0 of x/y to act as TAD-mask, but got %d instead",
+                   cond->lengthOf());
+
+      auto z = OUTPUT_VARIABLE(0);
+      std::vector<LongType> idxs;
+      idxs.push_back(0);
+      auto dims = ShapeUtils::evalDimsToExclude(x->rankOf() ,1,idxs.data());
+      auto tadsX = x->allTensorsAlongDimension(*dims);
+      auto tadsY = y->allTensorsAlongDimension(*dims);
+      auto tadsZ = z->allTensorsAlongDimension(*dims);
+
+      for (int e = 0; e < tadsX.size(); e++) {
+        if (!cond->e<bool>(e)) {
+          tadsZ.at(e)->assign(tadsY.at(e));
+        } else {
+          tadsZ.at(e)->assign(tadsX.at(e));
+        }
+      }
+
+      delete dims;
+    }
+  }
+
+  return Status::OK;
+}
+
+DECLARE_SHAPE_FN(select) {
+  auto inShape = inputShape->at(1);
+  return SHAPELIST(CONSTANT(inShape));
+}
+
+DECLARE_TYPES(select) {
+  getOpDescriptor()
+      ->setAllowedInputTypes(0, BOOL)
+      ->setAllowedInputTypes(1, ANY)
+      ->setAllowedInputTypes(2, ANY)
+      ->setAllowedOutputTypes(1, INHERIT);
+}
+}  // namespace ops
+}  // namespace sd
+
+#endif