wehub-resource-sync
59 lines
1.8 KiB
C++
59 lines
1.8 KiB
C++
/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. 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,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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/*!
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* \brief bias_add op constructions
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* \file nn/bias_add.h
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*/
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#ifndef TVM_TOPI_NN_BIAS_ADD_H_
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#define TVM_TOPI_NN_BIAS_ADD_H_
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#include <tvm/te/operation.h>
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#include <tvm/topi/broadcast.h>
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#include <tvm/topi/tags.h>
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#include <tvm/topi/transform.h>
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#include <string>
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namespace tvm {
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namespace topi {
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namespace nn {
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/*!
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* \brief Creates an operation that calculates data + bias
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*
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* \param data Tensor with shape [batch, in_dim]
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* \param bias Tensor with shape [batch].
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* \param axis The axis to add the bias to.
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* \return Tensor with shape [batch, in_dim]
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*/
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inline tvm::te::Tensor bias_add(const tvm::te::Tensor& data, const tvm::te::Tensor& bias,
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int axis) {
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int data_ndim = data->shape.size();
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if (axis < 0) {
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axis += data_ndim;
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}
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int num_newaxis = data_ndim - axis - 1;
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return add(data, (num_newaxis ? expand_dims(bias, 1, num_newaxis) : bias));
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}
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} // namespace nn
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} // namespace topi
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} // namespace tvm
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#endif // TVM_TOPI_NN_BIAS_ADD_H_
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