Compute Library
 20.05
GCCol2ImKernel.cpp
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2  * Copyright (c) 2017-2020 ARM Limited.
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24 
26 
28 #include "arm_compute/core/Error.h"
34 #include "arm_compute/core/Types.h"
36 #include "support/StringSupport.h"
37 
38 using namespace arm_compute;
39 
41  : _input(nullptr), _output(nullptr), _convolved_dims()
42 {
43 }
44 
46  std::pair<unsigned int, unsigned int> convolved_dims)
47 {
50 
51  TensorShape output_shape = input->info()->tensor_shape();
52  output_shape.set(0, convolved_dims.first);
53  output_shape.set(1, convolved_dims.second);
54  output_shape.set(2, input->info()->tensor_shape()[0]);
55 
56  // Output auto inizialitation if not yet initialized
57  auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape));
58 
61 
62  _input = input;
63  _output = output;
64  _convolved_dims = convolved_dims;
65 
66  const DataType dt = input->info()->data_type();
67  const unsigned int local_size = 1;
68 
69  // Create kernel
70  std::set<std::string> build_opts;
71  build_opts.emplace("#define COL2IM ");
72  build_opts.emplace("#define WIDTH_OUTPUT " + support::cpp11::to_string(_convolved_dims.first));
73  const std::string dt_name = (dt == DataType::F32) ? "DATA_TYPE_FP32" : "DATA_TYPE_FP16";
74  build_opts.emplace(("#define " + dt_name));
75  build_opts.emplace("#define LOCAL_SIZE_X " + support::cpp11::to_string(local_size));
76  build_opts.emplace("#define LOCAL_SIZE_Y " + support::cpp11::to_string(local_size));
77  build_opts.emplace("#define LOCAL_SIZE_Z " + support::cpp11::to_string(local_size));
78 
79  _kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel("col2im", build_opts));
80 
81  // Configure window
82  const unsigned int num_elems_processed_per_iteration = (dt == DataType::F32) ? 1 : 2;
83 
85 
87  const int input_padding = ceil_to_multiple(input->info()->dimension(0), 2) - input->info()->dimension(0);
88 
89  AccessWindowStatic input_access(input->info(), 0, 0, input->info()->dimension(0) + input_padding, input->info()->dimension(1) + 1);
90 
91  update_window_and_padding(win, input_access, output_access);
92 
93  output_access.set_valid_region(win, output->info()->valid_region());
94 
95  IGCKernel::configure(win);
96 }
97 
98 void GCCol2ImKernel::run(const Window &window)
99 {
102 
103  _kernel.use();
104 
106  Window slice = collapsed_window.first_slice_window_3D();
107 
108  // Set static kernel arguments
109  unsigned int idx = 2 * num_arguments_per_3D_tensor();
110  //_kernel.set_argument(idx++, _output->info()->strides_in_bytes()[3]);
111  _kernel.set_argument(idx++, uint(_output->info()->dimension(2)));
112  _kernel.set_argument(idx++, _input->info()->strides_in_bytes()[2]);
113 
114  do
115  {
116  // Set inputs
117  unsigned int idx = 0;
118  add_2D_tensor_argument(idx, _input, 1, slice);
119  add_3D_tensor_argument(idx, _output, 2, slice);
120  _kernel.update_shader_params();
121  enqueue(*this, slice);
122  }
123  while(collapsed_window.slide_window_slice_3D(slice));
124 }
const Window & window() const
The maximum window the kernel can be executed on.
Definition: IKernel.cpp:28
GCCol2ImKernel()
Default constructor.
Shape of a tensor.
Definition: TensorShape.h:39
void add_3D_tensor_argument(unsigned int &idx, const IGCTensor *tensor, const unsigned int binding_point, const Window &window)
Add the passed 3D tensor's parameters to the object's kernel's arguments starting from the index idx.
Definition: IGCKernel.cpp:132
virtual size_t dimension(size_t index) const =0
Return the size of the requested dimension.
#define ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(...)
Definition: Validate.h:543
void enqueue(cl::CommandQueue &queue, ICLKernel &kernel, const Window &window, const cl::NDRange &lws_hint=CLKernelLibrary::get().default_ndrange(), bool use_dummy_work_items=false)
Add the kernel to the command queue with the given window.
Definition: ICLKernel.cpp:39
std::string to_string(T &&value)
Convert integer and float values to string.
1 channel, 1 F32 per channel
Interface for GLES Compute tensor.
Definition: IGCTensor.h:35
unsigned int num_arguments_per_3D_tensor() const
Returns the number of arguments enqueued per 3D tensor object.
Definition: IGCKernel.cpp:147
Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())
Calculate the maximum window for a given tensor shape and border setting.
Definition: Helpers.cpp:28
Copyright (c) 2017-2020 ARM Limited.
bool auto_init_if_empty(ITensorInfo &info, const TensorShape &shape, int num_channels, DataType data_type, QuantizationInfo quantization_info=QuantizationInfo())
Auto initialize the tensor info (shape, number of channels and data type) if the current assignment i...
Definition: Helpers.inl:202
1 channel, 1 F16 per channel
virtual ValidRegion valid_region() const =0
Valid region of the tensor.
Implementation of a static rectangular access pattern.
cl::Kernel create_kernel(const CLCompileContext &ctx, const std::string &kernel_name, const std::set< std::string > &build_opts=std::set< std::string >())
Creates an opencl kernel using a compile context.
Definition: CLHelpers.cpp:387
bool update_window_and_padding(Window &win, Ts &&... patterns)
Update window and padding size for each of the access patterns.
Definition: Helpers.h:437
Window collapse_if_possible(const Window &full_window, size_t first, size_t last, bool *has_collapsed=nullptr) const
Collapse the dimensions between first and last if possible.
Definition: Window.inl:68
virtual const TensorShape & tensor_shape() const =0
Size for each dimension of the tensor.
auto ceil_to_multiple(S value, T divisor) -> decltype(((value+divisor - 1)/divisor) *divisor)
Computes the smallest number larger or equal to value that is a multiple of divisor.
Definition: Utils.h:67
Class to describe a number of elements in each dimension.
Definition: Steps.h:40
Implementation of a row access pattern.
void run(const Window &window) override
Enqueue the OpenGL ES shader to process the given window.
virtual ITensorInfo * info() const =0
Interface to be implemented by the child class to return the tensor's metadata.
#define ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(...)
Definition: Validate.h:286
#define ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(f, w)
Definition: Validate.h:183
void add_2D_tensor_argument(unsigned int &idx, const IGCTensor *tensor, const unsigned int binding_point, const Window &window)
Add the passed 2D tensor's parameters to the object's kernel's arguments starting from the index idx.
Definition: IGCKernel.cpp:127
bool slide_window_slice_3D(Window &slice) const
Slide the passed 3D window slice.
Definition: Window.h:333
#define ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c,...)
Definition: Validate.h:790
static GCKernelLibrary & get()
Get the static instance of GCKernelLibrary.
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:161
static constexpr size_t DimZ
Alias for dimension 2 also known as Z dimension.
Definition: Window.h:47
unsigned int num_elems_processed_per_iteration
TensorShape & set(size_t dimension, size_t value, bool apply_dim_correction=true)
Accessor to set the value of one of the dimensions.
Definition: TensorShape.h:78
virtual const Strides & strides_in_bytes() const =0
The strides in bytes for accessing each dimension of the tensor.
Window first_slice_window_3D() const
First 3D slice of the window.
Definition: Window.h:289
DataType
Available data types.
Definition: Types.h:77
Describe a multidimensional execution window.
Definition: Window.h:39
#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)
Definition: Validate.h:941
SimpleTensor< T > slice(const SimpleTensor< T > &src, Coordinates starts, Coordinates ends)
void configure(const IGCTensor *input, IGCTensor *output, std::pair< unsigned int, unsigned int > convolved_dims)
Set the input and output of the kernel.