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- /**
- * Copyright 2019-2020 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 GE_OP_NORMALIZE_OPS_H
- #define GE_OP_NORMALIZE_OPS_H
-
- #include "graph/operator_reg.h"
-
- namespace ge {
-
- REG_OP(Normalize)
- .INPUT(x1, TensorType({DT_FLOAT16, DT_FLOAT, DT_INT8}))
- .INPUT(x2, TensorType({DT_FLOAT16, DT_FLOAT, DT_INT8}))
- .OUTPUT(y, TensorType({DT_FLOAT16, DT_FLOAT, DT_INT8}))
- .ATTR(across_spatial, Bool, true)
- .ATTR(channel_shared, Bool, true)
- .ATTR(eps, Float, 1e-10)
- .OP_END_FACTORY_REG(Normalize);
-
- REG_OP(NormalizeSum)
- .INPUT(x1, TensorType({DT_FLOAT16, DT_FLOAT, DT_INT8}))
- .OUTPUT(y, TensorType({DT_FLOAT16, DT_FLOAT}))
- .ATTR(across_spatial, Bool, true)
- .OP_END_FACTORY_REG(NormalizeSum);
-
- REG_OP(NormalizeScale)
- .INPUT(x1, TensorType({DT_FLOAT16, DT_FLOAT, DT_INT8}))
- .INPUT(x2, TensorType({DT_FLOAT16, DT_FLOAT, DT_INT8}))
- .INPUT(x3, TensorType({DT_FLOAT16, DT_FLOAT}))
- .OUTPUT(y, TensorType({DT_FLOAT16, DT_FLOAT, DT_INT8}))
- .ATTR(across_spatial, Bool, true)
- .ATTR(channel_shared, Bool, true)
- .ATTR(eps, Float, 1e-10)
- .OP_END_FACTORY_REG(NormalizeScale);
-
- } // namespace ge
-
- #endif // GE_OP_NORMALIZE_OPS_H
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