Compute Library
 21.02
GCGEMMInterleave4x4Kernel.cpp
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1 /*
2  * Copyright (c) 2017-2020 Arm Limited.
3  *
4  * SPDX-License-Identifier: MIT
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25 
26 #include "arm_compute/core/Error.h"
32 #include "arm_compute/core/Types.h"
33 #include "arm_compute/core/Utils.h"
38 #include "support/StringSupport.h"
39 
40 using namespace arm_compute;
41 
43  : _input(nullptr), _output(nullptr)
44 {
45 }
46 
48 {
51 
53  output_shape.set(0, input->info()->dimension(0) * 4);
54  output_shape.set(1, std::ceil(input->info()->dimension(1) / 4.0f));
55 
56  // Output auto inizialitation if not yet initialized
57  auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type());
58 
61 
62  _input = input;
63  _output = output;
64 
65  std::set<std::string> build_opts;
66  std::string dt_name = (input->info()->data_type() == DataType::F32) ? "DATA_TYPE_FP32" : "DATA_TYPE_FP16";
67  build_opts.emplace(("#define " + dt_name));
68  build_opts.emplace("#define LOCAL_SIZE_X " + support::cpp11::to_string(1));
69  build_opts.emplace("#define LOCAL_SIZE_Y " + support::cpp11::to_string(1));
70  build_opts.emplace("#define LOCAL_SIZE_Z " + support::cpp11::to_string(1));
71 
72  // Create kernel
73  build_opts.emplace("#define GEMM_INTERLEAVE4x4");
74  _kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel("gemm_interleave4x4", build_opts));
75 
76  // Configure kernel window
77  const unsigned int num_elems_processed_per_iteration_x = max_gc_vector_width / data_size_from_type(input->info()->data_type());
78  constexpr unsigned int num_elems_processed_per_iteration_y = 4;
79  const unsigned int num_elems_written_per_iteration = num_elems_processed_per_iteration_x * num_elems_processed_per_iteration_y;
80 
81  Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y));
82 
83  AccessWindowRectangle input_access(input->info(), 0, 0, num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y);
84  AccessWindowRectangle output_access(output->info(), 0, 0, num_elems_written_per_iteration, 1, 4.f, 0.25f);
85 
86  update_window_and_padding(win, input_access, output_access);
87 
88  output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape()));
89 
90  IGCKernel::configure(win);
91 }
92 
94 {
97 
98  _kernel.use();
99 
100  /*
101  * This kernel puts the values in a 4x4 block of Matrix A on the same row (Interleaved values)
102  * |a00 a01 a02 a03|
103  * |a10 a11 a12 a13|
104  * |a20 a21 a22 a23| = | a00 a10 a20 a30 || a01 a11 a21 a31 || a02 a12 a22 a32 || a03 a13 a23 a33 |
105  * |a30 a31 a32 a33|
106  *
107  * After this operation, the output matrix will have the following shape: [ height * 4, width / 4 ]
108  */
109  Window in_slice = window.first_slice_window_2D();
110  Window out_slice = window.first_slice_window_2D();
111 
112  // Change x and y steps for the slide of output tensor
113  out_slice.scale(Window::DimX, 4.f);
114  out_slice.scale(Window::DimY, 0.25f);
115 
116  do
117  {
118  unsigned int idx = 0;
119  add_2D_tensor_argument(idx, _input, 1, in_slice);
120  add_2D_tensor_argument(idx, _output, 2, out_slice);
121 
122  _kernel.update_shader_params();
123 
124  enqueue(*this, in_slice);
125  }
126  while(window.slide_window_slice_2D(in_slice) && window.slide_window_slice_2D(out_slice));
127 }
Window first_slice_window_2D() const
First 2D slice of the window.
Definition: Window.h:283
void scale(size_t dimension, float scale_value)
Scale the values of a given dimension by the given scale_value.
Definition: Window.inl:155
Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps, bool skip_border, BorderSize border_size)
const Window & window() const
The maximum window the kernel can be executed on.
Definition: IKernel.cpp:28
Shape of a tensor.
Definition: TensorShape.h:39
void enqueue(IGCKernel &kernel, const Window &window, const gles::NDRange &lws=gles::NDRange(1U, 1U, 1U))
Add the kernel to the command queue with the given window.
Definition: IGCKernel.cpp:41
virtual size_t dimension(size_t index) const =0
Return the size of the requested dimension.
std::string to_string(T &&value)
Convert integer and float values to string.
virtual DataType data_type() const =0
Data type used for each element of the tensor.
1 channel, 1 F32 per channel
Interface for GLES Compute tensor.
Definition: IGCTensor.h:35
GCKernel class.
bool slide_window_slice_2D(Window &slice) const
Slide the passed 2D window slice.
Definition: Window.h:323
Copyright (c) 2017-2021 Arm Limited.
virtual void set_valid_region(const ValidRegion &valid_region)=0
Set the valid region of the tensor.
1 channel, 1 F16 per channel
Implementation of a rectangular access pattern.
static constexpr size_t DimX
Alias for dimension 0 also known as X dimension.
Definition: Window.h:43
bool update_window_and_padding(Window &win, Ts &&... patterns)
Update window and padding size for each of the access patterns.
Definition: WindowHelpers.h:46
virtual const TensorShape & tensor_shape() const =0
Size for each dimension of the tensor.
#define ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(...)
Definition: Validate.h:543
Manages all the GLES kernels compilation and caching, provides accessors for the GLES Context...
Class to describe a number of elements in each dimension.
Definition: Steps.h:40
Coordinates of an item.
Definition: Coordinates.h:37
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...
virtual ITensorInfo * info() const =0
Interface to be implemented by the child class to return the tensor&#39;s metadata.
size_t data_size_from_type(DataType data_type)
The size in bytes of the data type.
Definition: Utils.h:106
void add_2D_tensor_argument(unsigned int &idx, const IGCTensor *tensor, const unsigned int binding_point, const Window &window)
Add the passed 2D tensor&#39;s parameters to the object&#39;s kernel&#39;s arguments starting from the index idx...
Definition: IGCKernel.cpp:127
#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)
Definition: Validate.h:941
#define ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c,...)
Definition: Validate.h:790
void run(const Window &window) override
Enqueue the OpenGL ES shader to process the given window.
static constexpr size_t DimY
Alias for dimension 1 also known as Y dimension.
Definition: Window.h:45
Wrapper to configure the Khronos EGL and OpenGL ES C header.
static GCKernelLibrary & get()
Get the static instance of GCKernelLibrary.
#define ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(...)
Definition: Validate.h:286
GCKernel create_kernel(const std::string &shader_name, const StringSet &build_options_set={}) const
Creates a kernel from the kernel library.
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:161
Container for valid region of a window.
Definition: Types.h:188
void configure(const IGCTensor *input, IGCTensor *output)
Initialise the kernel&#39;s input and output.
Describe a multidimensional execution window.
Definition: Window.h:39
TensorShape & set(size_t dimension, size_t value, bool apply_dim_correction=true, bool increase_dim_unit=true)
Accessor to set the value of one of the dimensions.
Definition: TensorShape.h:79
#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)
Definition: Validate.h:205