1/*
2 * Licensed to the Apache Software Foundation (ASF) under one
3 * or more contributor license agreements. See the NOTICE file
4 * distributed with this work for additional information
5 * regarding copyright ownership. The ASF licenses this file
6 * to you under the Apache License, Version 2.0 (the
7 * "License"); you may not use this file except in compliance
8 * with the License. You may obtain a copy of the License at
9 *
10 * http://www.apache.org/licenses/LICENSE-2.0
11 *
12 * Unless required by applicable law or agreed to in writing,
13 * software distributed under the License is distributed on an
14 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
15 * KIND, either express or implied. See the License for the
16 * specific language governing permissions and limitations
17 * under the License.
18 */
19
20/*!
21 * \brief bias_add op constructions
22 * \file nn/bias_add.h
23 */
24#ifndef TVM_TOPI_NN_BIAS_ADD_H_
25#define TVM_TOPI_NN_BIAS_ADD_H_
26
27#include <tvm/te/operation.h>
28#include <tvm/topi/broadcast.h>
29#include <tvm/topi/tags.h>
30#include <tvm/topi/transform.h>
31
32#include <string>
33
34namespace tvm {
35namespace topi {
36namespace nn {
37
38/*!
39 * \brief Creates an operation that calculates data + bias
40 *
41 * \param data Tensor with shape [batch, in_dim]
42 * \param bias Tensor with shape [batch].
43 * \param axis The axis to add the bias to.
44 * \return Tensor with shape [batch, in_dim]
45 */
46inline tvm::te::Tensor bias_add(const tvm::te::Tensor& data, const tvm::te::Tensor& bias,
47 int axis) {
48 int data_ndim = data->shape.size();
49 if (axis < 0) {
50 axis += data_ndim;
51 }
52 int num_newaxis = data_ndim - axis - 1;
53 return add(data, (num_newaxis ? expand_dims(bias, 1, num_newaxis) : bias));
54}
55} // namespace nn
56} // namespace topi
57} // namespace tvm
58#endif // TVM_TOPI_NN_BIAS_ADD_H_
59