Compute Library
 20.02.1
CLStackLayer.cpp
Go to the documentation of this file.
1 /*
2  * Copyright (c) 2018-2020 ARM Limited.
3  *
4  * SPDX-License-Identifier: MIT
5  *
6  * Permission is hereby granted, free of charge, to any person obtaining a copy
7  * of this software and associated documentation files (the "Software"), to
8  * deal in the Software without restriction, including without limitation the
9  * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10  * sell copies of the Software, and to permit persons to whom the Software is
11  * furnished to do so, subject to the following conditions:
12  *
13  * The above copyright notice and this permission notice shall be included in all
14  * copies or substantial portions of the Software.
15  *
16  * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17  * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18  * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19  * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20  * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21  * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22  * SOFTWARE.
23  */
24 #include <complex>
25 
27 
29 #include "arm_compute/core/Error.h"
32 #include "arm_compute/core/Types.h"
35 
37 
38 namespace arm_compute
39 {
41  : _input(),
42  _stack_kernels(),
43  _num_inputs(0)
44 {
45 }
46 
47 void CLStackLayer::configure(const std::vector<ICLTensor *> &input, int axis, ICLTensor *output)
48 {
49  _num_inputs = input.size();
50  _stack_kernels.resize(_num_inputs);
51 
52  // Wrap around negative values
53  const unsigned int axis_u = wrap_around(axis, static_cast<int>(input[0]->info()->num_dimensions() + 1));
54 
55  for(unsigned int i = 0; i < _num_inputs; i++)
56  {
57  _stack_kernels[i].configure(input[i], axis_u, i, _num_inputs, output);
58  }
59 }
60 
61 Status CLStackLayer::validate(const std::vector<ITensorInfo *> &input, int axis, const ITensorInfo *output)
62 {
65 
66  // Wrap around negative values
67  const size_t rank = input[0]->num_dimensions();
68  const unsigned int axis_u = wrap_around(axis, static_cast<int>(rank + 1));
69 
70  const unsigned int num_inputs = input.size();
71 
72  for(unsigned int i = 0; i < num_inputs; i++)
73  {
74  // All the tensors must have the same rank
75  ARM_COMPUTE_RETURN_ERROR_ON(input[i]->num_dimensions() != rank);
76  // Validate Kernel
77  ARM_COMPUTE_RETURN_ON_ERROR(CLStackLayerKernel::validate(input[i], axis_u, i, num_inputs, output));
78  }
79 
80  return Status{};
81 }
82 
84 {
85  for(unsigned i = 0; i < _num_inputs; i++)
86  {
87  CLScheduler::get().enqueue(_stack_kernels[i], false);
88  }
89 }
90 } // namespace arm_compute
static Status validate(const ITensorInfo *input, unsigned int axis, unsigned int idx_input, unsigned int num_tensors, const ITensorInfo *output)
Static function to check if given info will lead to a valid configuration of CLStackLayerKernel.
static CLScheduler & get()
Access the scheduler singleton.
Definition: CLScheduler.cpp:99
void run() override
Run the kernels contained in the function.
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:204
CLStackLayer()
Default constructor.
Store the tensor's metadata.
Definition: ITensorInfo.h:40
Status class.
Definition: Error.h:52
#define ARM_COMPUTE_RETURN_ERROR_ON(cond)
If the condition is true, an error is returned.
Definition: Error.h:296
Copyright (c) 2017-2020 ARM Limited.
static Status validate(const std::vector< ITensorInfo * > &input, int axis, const ITensorInfo *output)
Static function to check if given info will lead to a valid configuration of CLStackLayerKernel.
T wrap_around(T x, T m)
Wrap-around a number within the range 0 <= x < m.
Definition: Helpers.h:764
void enqueue(ICLKernel &kernel, bool flush=true)
Schedule the execution of the passed kernel if possible.
#define ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(...)
Definition: Validate.h:163
void configure(const std::vector< ICLTensor * > &input, int axis, ICLTensor *output)
Initialise the kernel's inputs vector and output.
Interface for OpenCL tensor.
Definition: ICLTensor.h:42