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58 lines
1.9 KiB
58 lines
1.9 KiB
/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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/*!
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* \file avg_pool_1d_ops.h
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* \brief
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*/
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#ifndef OPS_BUILT_IN_OP_PROTO_INC_AVGPOOL1DOPS_H_
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#define OPS_BUILT_IN_OP_PROTO_INC_AVGPOOL1DOPS_H_
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#include "graph/operator_reg.h"
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namespace ge {
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/**
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*@brief Generate an auxiliary matrix . \n
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*@par Inputs:
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* @li x: A tensor. Must be one of the following types:uint8, int8,int16, int32,
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int64, float16, float, double.The format must be NHWC NCHW NC1HWC0.
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*@par Attributes:
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*@li ksize: Kernel size. Input type is int.
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*@li strides: Input type is int.
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*@li pads: Input type is listInt .
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*@li ceil_mode: Bool, default value is false.
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*@li count_include_pad: Bool, default value is false. \n
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*@par Outputs:
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*y_tensor: A tensor with the same types as "x" . \n
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*@par Third-party framework compatibility
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*Compatible with the TensorFlow operator Unbatch.
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*/
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REG_OP(AvgPool1DAvgMatrix)
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.INPUT(x, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, DT_UINT8,
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DT_INT32, DT_INT64, DT_DOUBLE}))
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.OUTPUT(y, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, DT_UINT8,
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DT_INT32, DT_INT64, DT_DOUBLE}))
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.REQUIRED_ATTR(ksize, Int)
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.REQUIRED_ATTR(strides, Int)
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.REQUIRED_ATTR(pads, ListInt)
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.ATTR(ceil_mode, Bool, false)
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.ATTR(count_include_pad, Bool, false)
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.OP_END_FACTORY_REG(AvgPool1DAvgMatrix)
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}
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#endif |