Compute Library
 20.02.1
CLSpaceToBatchLayer.cpp
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24 
26 
27 #include "arm_compute/core/Error.h"
29 #include "arm_compute/core/Types.h"
32 
33 namespace arm_compute
34 {
36  : _space_to_batch_kernel(), _memset_kernel(), _has_padding(false)
37 {
38 }
39 
40 void CLSpaceToBatchLayer::configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)
41 {
42  ARM_COMPUTE_ERROR_ON_NULLPTR(input, block_shape, paddings, output);
43 
44  if(input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size())
45  {
46  _has_padding = true;
47  _memset_kernel.configure(output, PixelValue(0, input->info()->data_type(), input->info()->quantization_info()));
48  }
49  _space_to_batch_kernel.configure(input, block_shape, paddings, output);
50 }
51 
52 void CLSpaceToBatchLayer::configure(const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right, ICLTensor *output)
53 {
55 
56  if(input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size())
57  {
58  _has_padding = true;
59  _memset_kernel.configure(output, PixelValue(0, input->info()->data_type(), input->info()->quantization_info()));
60  }
61  _space_to_batch_kernel.configure(input, block_shape_x, block_shape_y, padding_left, padding_right, output);
62 }
63 
64 Status CLSpaceToBatchLayer::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output)
65 {
66  ARM_COMPUTE_RETURN_ON_ERROR(CLMemsetKernel::validate(output, PixelValue(0, input->data_type(), input->quantization_info())));
68 
69  return Status{};
70 }
71 
72 Status CLSpaceToBatchLayer::validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right,
73  const ITensorInfo *output)
74 {
75  ARM_COMPUTE_RETURN_ON_ERROR(CLMemsetKernel::validate(output, PixelValue(0, input->data_type(), input->quantization_info())));
76  ARM_COMPUTE_RETURN_ON_ERROR(CLSpaceToBatchLayerKernel::validate(input, block_shape_x, block_shape_y, padding_left, padding_right, output));
77 
78  return Status{};
79 }
80 
82 {
83  // Zero out output only if we have paddings
84  if(_has_padding)
85  {
86  CLScheduler::get().enqueue(_memset_kernel, true);
87  }
88  CLScheduler::get().enqueue(_space_to_batch_kernel, true);
89 }
90 } // namespace arm_compute
static Status validate(const ITensorInfo *tensor, const PixelValue &constant_value, Window *window=nullptr)
Static function to check if given info will lead to a valid configuration of CLMemsetKernel.
Class describing the value of a pixel for any image format.
Definition: PixelValue.h:34
void configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)
Set the input and output tensors.
static CLScheduler & get()
Access the scheduler singleton.
Definition: CLScheduler.cpp:99
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:204
Store the tensor's metadata.
Definition: ITensorInfo.h:40
Status class.
Definition: Error.h:52
Copyright (c) 2017-2020 ARM Limited.
virtual const TensorShape & tensor_shape() const =0
Size for each dimension of the tensor.
size_t total_size() const
Collapses all dimensions to a single linear total size.
Definition: TensorShape.h:171
virtual ITensorInfo * info() const =0
Interface to be implemented by the child class to return the tensor's metadata.
CLSpaceToBatchLayer()
Default constructor.
void enqueue(ICLKernel &kernel, bool flush=true)
Schedule the execution of the passed kernel if possible.
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:161
Interface for OpenCL tensor.
Definition: ICLTensor.h:42
Class for specifying the size of an image or rectangle.
Definition: Size2D.h:34
void configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)
Initialise the kernel's inputs and output.
void run() override
Run the kernels contained in the function.
void configure(ICLTensor *tensor, const PixelValue &constant_value, Window *window=nullptr)
Initialise the kernel's tensor and filling value.
static Status validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output)
Static function to check if given info will lead to a valid configuration of CLSpaceToBatchLayer.
static Status validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output)
Static function to check if given info will lead to a valid configuration of CLSpaceToBatchLayerKerne...