!30264 fix activation grad infer

Merge pull request !30264 from zhaodezan/master

mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/infer/activation_grad_infer.c

@@ -0,0 +1,45 @@
+/**
+ * Copyright 2022 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * 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.
+ */
+
+#include "nnacl/infer/activation_grad_infer.h"
+#include "nnacl/infer/infer_register.h"
+
+int ActivationGradInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC **outputs, size_t outputs_size,
+                             OpParameter *parameter) {
+  int check_ret = CheckAugmentWithMinSize(inputs, inputs_size, outputs, outputs_size, parameter, 2, 1);
+  if (check_ret != NNACL_OK) {
+    return check_ret;
+  }
+  const TensorC *input = inputs[0];
+  const TensorC *input_grad = inputs[1];
+  if (input->shape_size_ != input_grad->shape_size_) {
+    return NNACL_ERR;
+  }
+  for (size_t i = 0; i < input->shape_size_; i++) {
+    if (input->shape_[i] != input_grad->shape_[i]) {
+      return NNACL_ERR;
+    }
+  }
+
+  SetDataTypeFormat(outputs[0], inputs[0]);
+  if (!InferFlag(inputs, inputs_size)) {
+    return NNACL_INFER_INVALID;
+  }
+  SetShapeTensor(outputs[0], inputs[0]);
+  return NNACL_OK;
+}
+
+REG_INFER(ActivationGrad, PrimType_ActivationGrad, ActivationGradInferShape)

mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/infer/activation_grad_infer.h

@@ -0,0 +1,31 @@
+/**
+ * Copyright 2022 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * 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.
+ */
+#ifndef MINDSPORE_NNACL_ACTIVATION_GRAD_INFER_H
+#define MINDSPORE_NNACL_ACTIVATION_GRAD_INFER_H
+
+#include "nnacl/infer/common_infer.h"
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+int ActivationGradInferShape(const TensorC *const *inputs, size_t inputs_size, TensorC **outputs, size_t outputs_size,
+                             OpParameter *parameter);
+
+#ifdef __cplusplus
+}
+#endif
+#endif  // MINDSPORE_NNACL_ACTIVATION_GRAD_INFER_H

mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/infer/common_infer.c

@@ -491,7 +491,6 @@ bool InferFlag(const TensorC *const *inputs, size_t inputs_size) {
 REG_INFER(Abs, PrimType_Abs, CommonInferShape)
 REG_INFER(AbsGrad, PrimType_AbsGrad, CommonGradInferShape)
 REG_INFER(Activation, PrimType_Activation, CommonInferShape)
-REG_INFER(ActivationGrad, PrimType_ActivationGrad, CommonInferShape)
 REG_INFER(BatchNorm, PrimType_BatchNorm, CommonInferShape)
 REG_INFER(BinaryCrossEntropyGrad, PrimType_BinaryCrossEntropyGrad, CommonInferShape)
 REG_INFER(Ceil, PrimType_Ceil, CommonInferShape)