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- /**
- * Copyright 2019 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.
- */
-
- /*!
- * \file avg_pool_1d_ops.h
- * \brief
- */
- #ifndef OPS_BUILT_IN_OP_PROTO_INC_AVGPOOL1DOPS_H_
- #define OPS_BUILT_IN_OP_PROTO_INC_AVGPOOL1DOPS_H_
- #include "graph/operator_reg.h"
-
- namespace ge {
- /**
- *@brief Generate an auxiliary matrix . \n
-
- *@par Inputs:
- * @li x: A tensor. Must be one of the following types:uint8, int8,int16, int32,
- int64, float16, float, double.The format must be NHWC/NCHW.
-
- *@par Attributes:
- *@li ksize: Kernel size. Input type is int.
- *@li strides: Input type is int.
- *@li pads: Input type is listInt .
- *@li ceil_mode: Bool, default value is false.
- *@li count_include_pad: Bool, default value is false. \n
-
- *@par Outputs:
- *y_tensor: A tensor with the same types as "x" . \n
- *@par Third-party framework compatibility
-
- *Compatible with the TensorFlow operator Unbatch.
- */
- REG_OP(AvgPool1DAvgMatrix)
- .INPUT(x, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, DT_UINT8,
- DT_INT32, DT_INT64, DT_DOUBLE}))
- .OUTPUT(y, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, DT_UINT8,
- DT_INT32, DT_INT64, DT_DOUBLE}))
- .REQUIRED_ATTR(ksize, Int)
- .REQUIRED_ATTR(strides, Int)
- .REQUIRED_ATTR(pads, ListInt)
- .ATTR(ceil_mode, Bool, false)
- .ATTR(count_include_pad, Bool, false)
- .OP_END_FACTORY_REG(AvgPool1DAvgMatrix)
- }
- #endif
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