Compute Library
 21.11
CLSpaceToBatchLayer.cpp
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24 
26 
27 #include "arm_compute/core/Error.h"
29 #include "arm_compute/core/Types.h"
33 
34 #include "src/common/utils/Log.h"
35 
36 namespace arm_compute
37 {
39  : _space_to_batch_kernel(std::make_unique<CLSpaceToBatchLayerKernel>()),
40  _fill(),
41  _has_padding(false)
42 {
43 }
44 
46 
47 void CLSpaceToBatchLayer::configure(const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)
48 {
49  configure(CLKernelLibrary::get().get_compile_context(), input, block_shape, paddings, output);
50 }
51 
52 void CLSpaceToBatchLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *block_shape, const ICLTensor *paddings, ICLTensor *output)
53 {
54  ARM_COMPUTE_ERROR_ON_NULLPTR(input, block_shape, paddings, output);
55  ARM_COMPUTE_LOG_PARAMS(input, block_shape, paddings, output);
56 
57  if(input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size())
58  {
59  _has_padding = true;
60  _fill.configure(compile_context, output, PixelValue(0, input->info()->data_type(), input->info()->quantization_info()));
61  }
62  _space_to_batch_kernel->configure(compile_context, input, block_shape, paddings, output);
63 }
64 
65 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)
66 {
67  configure(CLKernelLibrary::get().get_compile_context(), input, block_shape_x, block_shape_y, padding_left, padding_right, output);
68 }
69 
70 void CLSpaceToBatchLayer::configure(const CLCompileContext &compile_context, const ICLTensor *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left,
71  const Size2D &padding_right, ICLTensor *output)
72 {
73  ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
74  ARM_COMPUTE_LOG_PARAMS(input, block_shape_x, block_shape_y, padding_left, padding_right, output);
75 
76  if(input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size())
77  {
78  _has_padding = true;
79  _fill.configure(compile_context, output, PixelValue(0, input->info()->data_type(), input->info()->quantization_info()));
80  }
81  _space_to_batch_kernel->configure(compile_context, input, block_shape_x, block_shape_y, padding_left, padding_right, output);
82 }
83 
84 Status CLSpaceToBatchLayer::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *paddings, const ITensorInfo *output)
85 {
87  ARM_COMPUTE_RETURN_ON_ERROR(CLSpaceToBatchLayerKernel::validate(input, block_shape, paddings, output));
88 
89  return Status{};
90 }
91 
92 Status CLSpaceToBatchLayer::validate(const ITensorInfo *input, const int block_shape_x, const int block_shape_y, const Size2D &padding_left, const Size2D &padding_right,
93  const ITensorInfo *output)
94 {
96  ARM_COMPUTE_RETURN_ON_ERROR(CLSpaceToBatchLayerKernel::validate(input, block_shape_x, block_shape_y, padding_left, padding_right, output));
97 
98  return Status{};
99 }
100 
102 {
103  // Zero out output only if we have paddings
104  if(_has_padding)
105  {
106  //CLScheduler::get().enqueue(*_fill, true);
107  _fill.run();
108  }
109  CLScheduler::get().enqueue(*_space_to_batch_kernel, true);
110 }
111 } // namespace arm_compute
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.
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:204
virtual DataType data_type() const =0
Data type used for each element of the tensor.
static CLKernelLibrary & get()
Access the KernelLibrary singleton.
Store the tensor&#39;s metadata.
Definition: ITensorInfo.h:40
Status class.
Definition: Error.h:52
Copyright (c) 2017-2021 Arm Limited.
Interface for the space to batch kernel.
Interface to enqueue OpenCL kernels and get/set the OpenCL CommandQueue and ICLTuner.
void run() override
Run the kernels contained in the function.
Definition: CLFill.cpp:72
virtual const TensorShape & tensor_shape() const =0
Size for each dimension of the tensor.
~CLSpaceToBatchLayer()
Default destructor.
size_t total_size() const
Collapses all dimensions to a single linear total size.
Definition: TensorShape.h:172
virtual ITensorInfo * info() const =0
Interface to be implemented by the child class to return the tensor&#39;s metadata.
CLSpaceToBatchLayer()
Default constructor.
virtual QuantizationInfo quantization_info() const =0
Get the quantization settings (scale and offset) of the tensor.
void enqueue(ICLKernel &kernel, bool flush=true)
Schedule the execution of the passed kernel if possible.
void configure(ICLTensor *tensor, const PixelValue &constant_value, Window *window=nullptr)
Initialize the kernel&#39;s tensor and filling value.
Definition: CLFill.cpp:52
CLCompileContext class.
Interface for OpenCL tensor.
Definition: ICLTensor.h:42
Class for specifying the size of an image or rectangle.
Definition: Size2D.h:34
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 CLFill.
Definition: CLFill.cpp:67
#define ARM_COMPUTE_LOG_PARAMS(...)
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:157
void run() override
Run the kernels contained in the function.
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...