Compute Library
 21.02
CLGEMMLowpMatrixMultiplyReshapedKernel.cpp
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25 
32 #include "arm_compute/core/Utils.h"
37 #include "support/StringSupport.h"
38 
39 namespace arm_compute
40 {
41 using namespace misc::shape_calculator;
42 
43 namespace
44 {
45 using ElementsProcessed = Steps;
46 
47 Status validate_arguments(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info,
48  const GEMMReshapeInfo &gemm_info)
49 {
50  ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input0, input1, output);
53  ARM_COMPUTE_RETURN_ERROR_ON_MSG(input0->num_dimensions() > 4, "The number of dimensions for the LHS matrix must be <= 4");
54  ARM_COMPUTE_RETURN_ERROR_ON_MSG(input1->num_dimensions() > 3, "The number of dimensions for the RHS matrix must be <= 3");
55  ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.transpose);
56  ARM_COMPUTE_RETURN_ERROR_ON(!rhs_info.transpose);
57  ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.k0 != rhs_info.k0);
58  ARM_COMPUTE_RETURN_ERROR_ON_MSG(((lhs_info.k0 & (lhs_info.k0 - 1)) && lhs_info.k0 != 3), "Only 2,3,4,8,16 are supported for k0");
59  ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.k0 > 16);
60  ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.m0 < 2 || lhs_info.m0 > 8);
61  ARM_COMPUTE_RETURN_ERROR_ON_MSG(((rhs_info.n0 & (rhs_info.n0 - 1)) && rhs_info.n0 != 3), "Only 2,3,4,8,16 are supported for n0");
62  ARM_COMPUTE_RETURN_ERROR_ON_MSG(rhs_info.export_to_cl_image, "Export to CLImage not supported for quantized GEMM");
63 
64  const int m = gemm_info.m();
65  const int n = gemm_info.n();
66  const int k = gemm_info.k();
67 
68  TensorShape tensor_shape0{ input0->tensor_shape() };
69  tensor_shape0.set(0, k);
70  tensor_shape0.set(1, m);
71 
72  TensorShape tensor_shape1{ input1->tensor_shape() };
73  tensor_shape1.set(0, n);
74  tensor_shape1.set(1, k);
75 
76  const TensorInfo tensor_info0 = input0->clone()->set_tensor_shape(tensor_shape0);
77  const TensorInfo tensor_info1 = input1->clone()->set_tensor_shape(tensor_shape1);
78 
79  const TensorInfo tensor_info_reshaped0 = input0->clone()->set_tensor_shape(compute_lhs_reshaped_shape(tensor_info0, lhs_info));
80  const TensorInfo tensor_info_reshaped1 = input1->clone()->set_tensor_shape(compute_rhs_reshaped_shape(tensor_info1, rhs_info));
81 
82  ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input0, &tensor_info_reshaped0);
83  ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input1, &tensor_info_reshaped1);
84 
85  if(output->total_size() != 0)
86  {
87  const TensorInfo tensor_info_output = output->clone()->set_tensor_shape(compute_mm_shape(*input0, *input1, gemm_info));
88  ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &tensor_info_output);
90  }
91 
92  return Status{};
93 }
94 
95 std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input0, ITensorInfo *input1, ITensorInfo *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info,
96  const GEMMReshapeInfo &gemm_info, ElementsProcessed &num_elements_processed)
97 {
98  unsigned int &num_elems_processed_per_iteration_x = num_elements_processed[0];
99  unsigned int &num_elems_processed_per_iteration_y = num_elements_processed[1];
100  bool reinterpret_output_as_3d = (gemm_info.depth_output_gemm3d() != 0);
101 
102  // Output tensor auto initialization if not yet initialized
103  auto_init_if_empty(*output, input0->clone()->set_tensor_shape(compute_mm_shape(*input0, *input1, gemm_info)).set_data_type(DataType::S32));
104 
105  TensorInfo tmp_info(*output);
106  if(reinterpret_output_as_3d)
107  {
108  // Since the output tensor has to be reinterpreted as 3D and the execute window is based on a 2D GEMM,
109  // the window needs to be constructed on the 2D collapsed version of the tensor
110  TensorShape tmp_shape(output->tensor_shape());
111  tmp_shape.collapse(2U, 1U);
112  tmp_info.set_tensor_shape(tmp_shape);
113  }
114 
115  // Configure kernel window
116  num_elems_processed_per_iteration_x = rhs_info.n0;
117  num_elems_processed_per_iteration_y = lhs_info.m0;
118  Window win = calculate_max_window(tmp_info, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y));
119 
120  // Collapse along the Z direction
121  // This collapse needs to be here in order to tune the Z dimension of LWS
122  Window collapsed = win;
123  const unsigned int dimension_to_collapse = std::min(static_cast<unsigned int>(output->num_dimensions()), 2u);
124  collapsed = win.collapse(win, dimension_to_collapse);
125 
126  return std::make_pair(Status{}, collapsed);
127 }
128 } // namespace
129 
131  : _input0(nullptr), _input1(nullptr), _output(nullptr), _slide_matrix_b(true), _reinterpret_output_as_3d(false), _k(1), _use_dummy_work_items(false)
132 {
133 }
134 
135 void CLGEMMLowpMatrixMultiplyReshapedKernel::configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info,
136  const GEMMReshapeInfo &gemm_info)
137 {
138  configure(CLKernelLibrary::get().get_compile_context(), input0, input1, output, lhs_info, rhs_info, gemm_info);
139 }
140 
141 void CLGEMMLowpMatrixMultiplyReshapedKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info,
142  const GEMMRHSMatrixInfo &rhs_info,
143  const GEMMReshapeInfo &gemm_info)
144 {
145  ARM_COMPUTE_ERROR_ON_NULLPTR(input0, input1, output);
146 
147  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input0->info(), input1->info(), output->info(), lhs_info, rhs_info, gemm_info));
148 
149  _input0 = input0;
150  _input1 = input1;
151  _output = output;
152  _reinterpret_output_as_3d = (gemm_info.depth_output_gemm3d() != 0);
153  _k = gemm_info.k();
154  _use_dummy_work_items = preferred_dummy_work_items_support(CLKernelLibrary::get().get_device());
155 
156  // Check if we need to slide the matrix B
157  const unsigned int num_dimensions_input0 = _input0->info()->num_dimensions();
158  _slide_matrix_b = (_input1->info()->num_dimensions() >= num_dimensions_input0);
159 
160  auto padding_info = get_padding_info({ input0, input1, output });
161  ElementsProcessed num_elements_processed{};
162 
163  // Configure kernel window
164  auto win_config = validate_and_configure_window(input0->info(), input1->info(), output->info(), lhs_info, rhs_info, gemm_info, num_elements_processed);
165  ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
166  ICLKernel::configure_internal(win_config.second);
167 
168  // Calculate partial (store instead of load) M0 and partial N0 for the partial blocks at the end of a row/column if any. This is to avoid padding.
169  const unsigned int internal_m = _reinterpret_output_as_3d ? gemm_info.m() : output->info()->dimension(1);
170 
171  const unsigned int partial_store_m0 = internal_m % lhs_info.m0;
172  const unsigned int partial_store_n0 = gemm_info.n() % rhs_info.n0;
173 
174  // Create build options
175  CLBuildOptions build_opts;
176  build_opts.add_option_if(_reinterpret_output_as_3d, "-DREINTERPRET_OUTPUT_AS_3D");
177  build_opts.add_option_if(_reinterpret_output_as_3d, "-DHEIGHT_GEMM3D=" + support::cpp11::to_string(output->info()->dimension(1)));
178  build_opts.add_option_if(_reinterpret_output_as_3d, "-DDEPTH_GEMM3D=" + support::cpp11::to_string(output->info()->dimension(2)));
179  build_opts.add_option_if(!_slide_matrix_b, "-DMATRIX_B_DEPTH=" + support::cpp11::to_string(input1->info()->dimension(2)));
180  build_opts.add_option_if(lhs_info.interleave, "-DLHS_INTERLEAVE");
181  build_opts.add_option_if(rhs_info.interleave, "-DRHS_INTERLEAVE");
182  build_opts.add_option_if(_use_dummy_work_items, "-DDUMMY_WORK_ITEMS");
183  build_opts.add_option("-DM=" + support::cpp11::to_string(gemm_info.m()));
184  build_opts.add_option("-DN=" + support::cpp11::to_string(gemm_info.n()));
185  build_opts.add_option("-DM0=" + support::cpp11::to_string(lhs_info.m0));
186  build_opts.add_option("-DN0=" + support::cpp11::to_string(rhs_info.n0));
187  build_opts.add_option("-DK0=" + support::cpp11::to_string(lhs_info.k0));
188  build_opts.add_option("-DV0=" + support::cpp11::to_string(lhs_info.v0));
189  build_opts.add_option("-DH0=" + support::cpp11::to_string(rhs_info.h0));
190  build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input0->info()->data_type()));
191  build_opts.add_option("-DACC_DATA_TYPE=" + get_cl_dot8_acc_type_from_data_type(input0->info()->data_type()));
192  build_opts.add_option("-DPARTIAL_STORE_M0=" + support::cpp11::to_string(partial_store_m0));
193  build_opts.add_option("-DPARTIAL_STORE_N0=" + support::cpp11::to_string(partial_store_n0));
194 
195  std::string kernel_name("gemmlowp_mm_reshaped_");
196  kernel_name += lhs_info.transpose ? "lhs_t_" : "lhs_nt_";
197  kernel_name += rhs_info.transpose ? "rhs_t" : "rhs_nt";
198 
199  // Create kernel
200  _kernel = create_kernel(compile_context, kernel_name, build_opts.options());
201 
202  // Set config_id for enabling LWS tuning
203  _config_id = kernel_name;
204  _config_id += "_";
205  _config_id += dot8_supported(CLKernelLibrary::get().get_device()) ? "_dot8" : "";
206  _config_id += "_";
207  _config_id += (_reinterpret_output_as_3d ? "3do_" : "");
208  _config_id += support::cpp11::to_string(output->info()->dimension(1));
209  _config_id += "_";
210  _config_id += support::cpp11::to_string(output->info()->dimension(0));
211  _config_id += "_";
212  _config_id += support::cpp11::to_string(gemm_info.k());
213  _config_id += "_";
214  _config_id += support::cpp11::to_string(output->info()->dimension(2));
215  _config_id += "_";
216  _config_id += support::cpp11::to_string(lhs_info.m0);
217  _config_id += "_";
218  _config_id += support::cpp11::to_string(rhs_info.n0);
219  _config_id += "_";
220  _config_id += support::cpp11::to_string(lhs_info.k0);
221  _config_id += "_";
222  _config_id += support::cpp11::to_string(lhs_info.v0);
223  _config_id += "_";
224  _config_id += support::cpp11::to_string(rhs_info.h0);
225  _config_id += "_";
226  _config_id += support::cpp11::to_string(lhs_info.interleave);
227  _config_id += "_";
228  _config_id += support::cpp11::to_string(rhs_info.interleave);
229 
231 }
232 
234  const GEMMRHSMatrixInfo &rhs_info, const GEMMReshapeInfo &gemm_info)
235 {
236  ElementsProcessed num_elements_processed{};
237  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input0, input1, output, lhs_info, rhs_info, gemm_info));
238  ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input0->clone().get(),
239  input1->clone().get(),
240  output->clone().get(),
241  lhs_info,
242  rhs_info,
243  gemm_info,
244  num_elements_processed)
245  .first);
246 
247  return Status{};
248 }
249 
250 void CLGEMMLowpMatrixMultiplyReshapedKernel::run(const Window &window, cl::CommandQueue &queue)
251 {
254 
255  if(_input1->info()->num_dimensions() < 3)
256  {
257  // The stride_z for matrix B must be zero if we do not slice
258  ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != 0);
259  }
260 
262  Window slice_matrix_b = slice;
263 
264  slice_matrix_b.set(Window::DimX, Window::Dimension(0, 1, 1));
265  slice_matrix_b.set(Window::DimY, Window::Dimension(0, 1, 1));
266 
267  if(_reinterpret_output_as_3d)
268  {
269  // Pass bottom paddings to the kernel if the output has to be reinterpreted as 3D tensor
270  const unsigned int idx0 = 3 * num_arguments_per_2D_tensor() + 4;
271  const unsigned int total_cross_plane_pad = _output->info()->padding().top + _output->info()->padding().bottom;
272  _kernel.setArg<cl_uint>(idx0, static_cast<unsigned int>(total_cross_plane_pad));
273  }
274 
275  do
276  {
277  Window slice_b = slice;
278  // Don't slice matrix B along the z dimension if matrix B has just 2 dimensions and matrix A more than 2
279  // This scenario can happen when the matrix multiplication is used to perform a convolution operation
280  if(!_slide_matrix_b)
281  {
282  slice_b = slice_matrix_b;
283  }
284 
285  unsigned int idx = 0;
286  add_2D_tensor_argument(idx, _input0, slice);
287  add_2D_tensor_argument(idx, _input1, slice_b);
288  add_2D_tensor_argument(idx, _output, slice);
289  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_k));
290  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_input0->info()->strides_in_bytes()[2]));
291  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_input1->info()->strides_in_bytes()[2]));
292  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_output->info()->strides_in_bytes()[2]));
293  enqueue(queue, *this, slice, lws_hint(), _use_dummy_work_items);
294  }
295  while(window.slide_window_slice_3D(slice));
296 }
297 } // namespace arm_compute
unsigned int top
top of the border
Definition: Types.h:375
virtual size_t num_dimensions() const =0
The number of dimensions of the tensor (rank)
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
bool dot8_supported(const cl::Device &device)
Helper function to check whether the cl_arm_integer_dot_product_int8 extension is supported...
Definition: CLHelpers.cpp:239
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.
const StringSet & options() const
Gets the current options list set.
unsigned int v0
Number of vertical blocks of size (m0xk0) stored on the same output row.
Definition: Types.h:1977
cl::NDRange lws_hint() const
Return the Local-Workgroup-Size hint.
Definition: ICLKernel.h:276
bool preferred_dummy_work_items_support(const cl::Device &device)
Helper function to check if "dummy work-items" are preferred to have a power of two NDRange In case d...
Definition: CLHelpers.cpp:361
GEMM reshape information class.
Definition: Types.h:1831
std::string get_cl_dot8_acc_type_from_data_type(const DataType &dt)
Translates a tensor data type to the appropriate OpenCL dot8 accumulator type.
Definition: CLHelpers.cpp:173
#define ARM_COMPUTE_RETURN_ON_ERROR(status)
Checks if a status contains an error and returns it.
Definition: Error.h:204
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.
TensorShape compute_mm_shape(const ITensorInfo &input0, const ITensorInfo &input1, bool is_interleaved_transposed, const GEMMReshapeInfo &reshape_info)
Calculate the matrix multiplication output shape of two tensors.
#define ARM_COMPUTE_ERROR_ON(cond)
If the condition is true then an error message is printed and an exception thrown.
Definition: Error.h:466
static CLKernelLibrary & get()
Access the KernelLibrary singleton.
GEMM LHS (Left Hand Side) matrix information.
Definition: Types.h:1968
Store the tensor&#39;s metadata.
Definition: ITensorInfo.h:40
#define ARM_COMPUTE_ERROR_THROW_ON(status)
Definition: Error.h:455
Describe one of the image&#39;s dimensions with a start, end and step.
Definition: Window.h:77
unsigned int bottom
bottom of the border
Definition: Types.h:377
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
bool interleave
True if the v0 (m0xk0) blocks have to be interleaved in the output row.
Definition: Types.h:1979
Copyright (c) 2017-2021 Arm Limited.
#define ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(...)
Definition: Validate.h:163
1 channel, 1 S32 per channel
void add_option(std::string option)
Adds option to the existing build option list.
bool transpose
True if the (m0xk0) block has to be transposed before been stored.
Definition: Types.h:1978
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:403
static constexpr size_t DimX
Alias for dimension 0 also known as X dimension.
Definition: Window.h:43
TensorShape compute_lhs_reshaped_shape(const ITensorInfo &a, const GEMMLHSMatrixInfo &lhs_info, bool reinterpret_input_as_3d=false)
Calculate the Left Hand Side matrix reshaped shape.
GEMM RHS (Right Hand Side) matrix information.
Definition: Types.h:1983
static Status validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, const GEMMReshapeInfo &gemm_info)
Static function to check if given info will lead to a valid configuration of CLGEMMLowpMatrixMultiply...
quantized, asymmetric fixed-point 8-bit number unsigned
std::string kernel_name
std::string get_cl_type_from_data_type(const DataType &dt)
Translates a tensor data type to the appropriate OpenCL type.
Definition: CLHelpers.cpp:37
TensorShape compute_rhs_reshaped_shape(const ITensorInfo &a, const GEMMRHSMatrixInfo &rhs_info)
Calculate the Right Hand Side matrix reshaped shape.
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 std::unique_ptr< T > clone() const =0
Provide a clone of the current object of class T.
virtual ITensorInfo * info() const =0
Interface to be implemented by the child class to return the tensor&#39;s metadata.
int k() const
Number of matrix A columns or matrix B rows.
Definition: Types.h:1877
void add_option_if(bool cond, std::string option)
Adds option if a given condition is true;.
void set(size_t dimension, const Dimension &dim)
Set the values of a given dimension.
Definition: Window.inl:49
virtual PaddingSize padding() const =0
Padding of tensor.
static constexpr unsigned int num_arguments_per_2D_tensor()
Returns the number of arguments enqueued per 2D tensor object.
Definition: ICLKernel.h:206
bool slide_window_slice_3D(Window &slice) const
Slide the passed 3D window slice.
Definition: Window.h:335
void run(const Window &window, cl::CommandQueue &queue) override
Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue...
#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)
Definition: Validate.h:941
bool has_padding_changed(const std::unordered_map< const ITensorInfo *, PaddingSize > &padding_map)
Check if the previously stored padding info has changed after configuring a kernel.
Definition: Utils.cpp:528
CLCompileContext class.
static constexpr size_t DimY
Alias for dimension 1 also known as Y dimension.
Definition: Window.h:45
void add_2D_tensor_argument(unsigned int &idx, const ICLTensor *tensor, 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: ICLKernel.h:148
Interface for OpenCL tensor.
Definition: ICLTensor.h:42
#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(...)
Definition: Validate.h:443
void configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, const GEMMReshapeInfo &gemm_info)
Initialise the kernel&#39;s input and output.
Manages all the OpenCL kernels compilation and caching, provides accessors for the OpenCL Context...
#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(...)
Definition: Validate.h:545
#define ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(t, c,...)
Definition: Validate.h:792
std::unordered_map< const ITensorInfo *, PaddingSize > get_padding_info(std::initializer_list< const ITensorInfo *> infos)
Stores padding information before configuring a kernel.
Definition: Utils.cpp:513
Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const GEMMLowpOutputStageInfo *output_stage)
Wrapper to configure the Khronos OpenCL C++ header.
int depth_output_gemm3d() const
Depth (third dimension) of the output tensor to be used with the GEMM3D kernel.
Definition: Types.h:1904
#define ARM_COMPUTE_RETURN_ERROR_ON_MSG(cond, msg)
If the condition is true, an error is returned.
Definition: Error.h:244
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:161
unsigned int k0
Number of partial accumulations performed by the matrix multiplication.
Definition: Types.h:1976
unsigned int m0
Number of rows processed by the matrix multiplication.
Definition: Types.h:1975
quantized, asymmetric fixed-point 8-bit number signed
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:291
Describe a multidimensional execution window.
Definition: Window.h:39
#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)
Definition: Validate.h:205
SimpleTensor< T > slice(const SimpleTensor< T > &src, Coordinates starts, Coordinates ends)