Compute Library
 21.02
CLGEMMLowpMatrixMultiplyNativeKernel.cpp
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1 /*
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25 
32 #include "arm_compute/core/Utils.h"
38 #include "support/StringSupport.h"
39 
40 namespace arm_compute
41 {
42 using namespace misc::shape_calculator;
43 
44 namespace
45 {
46 using ElementsProcessed = Steps;
47 
48 Status validate_arguments(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info,
49  const GEMMReshapeInfo &gemm_info)
50 {
51  ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input0, input1, output);
53  if(input0->data_type() == DataType::QASYMM8)
54  {
56  }
57  else
58  {
60  }
61  ARM_COMPUTE_RETURN_ERROR_ON_MSG(input0->num_dimensions() > 4, "The number of dimensions for the LHS matrix must be <= 4");
62  ARM_COMPUTE_RETURN_ERROR_ON_MSG(input1->num_dimensions() > 3, "The number of dimensions for the RHS matrix must be <= 3");
63  ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.k0 != rhs_info.k0);
64  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");
65  ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.k0 > 16);
66  ARM_COMPUTE_RETURN_ERROR_ON(lhs_info.m0 < 1 || lhs_info.m0 > 8);
67  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");
68  ARM_COMPUTE_RETURN_ERROR_ON_MSG(rhs_info.export_to_cl_image, "Export to CLImage not supported for quantized GEMM");
69 
70  const int m = gemm_info.m();
71  const int n = gemm_info.n();
72  const int k = gemm_info.k();
73 
77 
78  ARM_COMPUTE_RETURN_ERROR_ON(input0->dimension(0) != static_cast<unsigned int>(k));
79  ARM_COMPUTE_RETURN_ERROR_ON(input1->dimension(0) != static_cast<unsigned int>(n));
80  ARM_COMPUTE_RETURN_ERROR_ON(input1->dimension(1) != static_cast<unsigned int>(k));
81  if(gemm_info.reinterpret_input_as_3d())
82  {
83  ARM_COMPUTE_RETURN_ERROR_ON(input0->dimension(1) * input0->dimension(2) != static_cast<unsigned int>(m));
84  }
85  else
86  {
87  ARM_COMPUTE_RETURN_ERROR_ON(input0->dimension(1) != static_cast<unsigned int>(m));
88  }
89 
90  if(output->total_size() != 0)
91  {
92  const TensorInfo tensor_info_output = output->clone()->set_tensor_shape(compute_mm_shape(*input0, *input1, gemm_info));
93  ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &tensor_info_output);
95  }
96 
97  return Status{};
98 }
99 
100 std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input0, ITensorInfo *input1, ITensorInfo *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info,
101  const GEMMReshapeInfo &gemm_info, ElementsProcessed &num_elements_processed)
102 {
103  unsigned int &num_elems_processed_per_iteration_x = num_elements_processed[0];
104  unsigned int &num_elems_processed_per_iteration_y = num_elements_processed[1];
105  bool reinterpret_input_as_3d = gemm_info.reinterpret_input_as_3d();
106  bool reinterpret_output_as_3d = (gemm_info.depth_output_gemm3d() != 0);
107 
108  Window win{};
109  bool window_changed = false;
110 
111  // In case both input and output have to be reinterpreted as 3D tensors,
112  // force reinterpret_output_as_3d to be false.
113  if(reinterpret_input_as_3d == reinterpret_output_as_3d)
114  {
115  reinterpret_output_as_3d = false;
116  }
117 
118  // Output tensor auto initialization if not yet initialized
119  auto_init_if_empty(*output, input0->clone()->set_tensor_shape(compute_mm_shape(*input0, *input1, gemm_info)).set_data_type(DataType::S32));
120 
121  TensorInfo tmp_info(*output);
122 
123  if(reinterpret_output_as_3d)
124  {
125  // Since the output tensor has to be reinterpreted as 3D and the execute window is based on a 2D GEMM,
126  // the window needs to be constructed on the 2D collapsed version of the tensor
127  TensorShape tmp_shape(output->tensor_shape());
128  tmp_shape.collapse(2U, 1U);
129  tmp_info.set_tensor_shape(tmp_shape);
130  }
131 
132  // Configure kernel window
133  num_elems_processed_per_iteration_x = rhs_info.n0;
134  num_elems_processed_per_iteration_y = lhs_info.m0;
135 
136  win = calculate_max_window(tmp_info, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y));
137 
138  // RHS matrix still needs padding on the X
139  AccessWindowStatic input1_access(input1, 0, 0,
140  ceil_to_multiple(input1->dimension(0), num_elems_processed_per_iteration_x),
141  input1->dimension(1));
142 
143  window_changed = update_window_and_padding(win, input1_access); // window used by the execute_window_loop
144 
145  // Collapse along the Z direction
146  // This collapse needs to be here in order to tune the Z dimension of LWS
147  Window collapsed = win;
148  const unsigned int dimension_to_collapse = std::min(static_cast<unsigned int>(output->num_dimensions()), 2u);
149  collapsed = win.collapse(win, dimension_to_collapse);
150 
151  Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
152  return std::make_pair(err, collapsed);
153 }
154 } // namespace
155 
157  : _input0(nullptr), _input1(nullptr), _output(nullptr), _slide_matrix_b(true), _reinterpret_input_as_3d(false), _reinterpret_output_as_3d(false), _use_dummy_work_items(false)
158 {
159 }
160 
161 void CLGEMMLowpMatrixMultiplyNativeKernel::configure(const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info,
162  const GEMMReshapeInfo &gemm_info)
163 {
164  configure(CLKernelLibrary::get().get_compile_context(), input0, input1, output, lhs_info, rhs_info, gemm_info);
165 }
166 
167 void CLGEMMLowpMatrixMultiplyNativeKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input0, const ICLTensor *input1, ICLTensor *output, const GEMMLHSMatrixInfo &lhs_info,
168  const GEMMRHSMatrixInfo &rhs_info,
169  const GEMMReshapeInfo &gemm_info)
170 {
171  ARM_COMPUTE_ERROR_ON_NULLPTR(input0, input1, output);
172 
173  ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input0->info(), input1->info(), output->info(), lhs_info, rhs_info, gemm_info));
174 
175  _input0 = input0;
176  _input1 = input1;
177  _output = output;
178  _reinterpret_input_as_3d = gemm_info.reinterpret_input_as_3d();
179  _reinterpret_output_as_3d = (gemm_info.depth_output_gemm3d() != 0);
180  _use_dummy_work_items = preferred_dummy_work_items_support(CLKernelLibrary::get().get_device());
181 
182  // We still need padding on the X dimension for the RHS matrix
183  auto padding_info = get_padding_info({ input0, output });
184 
185  // In case both input and output have to be reinterpreted as 3D tensors,
186  // force reinterpret_input_as_3d and reinterpret_output_as_3d to be false.
187  if(_reinterpret_input_as_3d == _reinterpret_output_as_3d)
188  {
189  _reinterpret_input_as_3d = false;
190  _reinterpret_output_as_3d = false;
191  }
192 
193  // Check if we need to slide the matrix B
194  const unsigned int num_dimensions_input0 = _input0->info()->num_dimensions();
195  _slide_matrix_b = (_input1->info()->num_dimensions() >= num_dimensions_input0);
196 
197  ElementsProcessed num_elements_processed{};
198 
199  // Configure kernel window
200  auto win_config = validate_and_configure_window(input0->info(), input1->info(), output->info(), lhs_info, rhs_info, gemm_info, num_elements_processed);
201  ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
202  ICLKernel::configure_internal(win_config.second);
203 
204  // If _reinterpret_input_as_3d = _reinterpret_output_as_3d = true,
205  // we will dispatch a batched-GEMM to reduce the complexity of the address calculation within the OpenCL kernel.
206  // This means that the actual m used by the kernel is given by output->info()->dimension(1) and not by gemm_info.m
207  const unsigned int internal_m = _reinterpret_output_as_3d ? gemm_info.m() : output->info()->dimension(1);
208  // 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.
209  const unsigned int partial_store_m0 = internal_m % lhs_info.m0;
210  const unsigned int partial_store_n0 = gemm_info.n() % rhs_info.n0;
211 
212  // Shrink M0 to be always <= M (internal_m) to prevent out-of-bounds reads.
213  // NOTE: This might have implications on heuristics and performance
214  const unsigned int internal_m0 = std::min(internal_m, lhs_info.m0);
215 
216  // Create build options
217  CLBuildOptions build_opts;
218  build_opts.add_option_if(_reinterpret_input_as_3d, "-DREINTERPRET_INPUT_AS_3D");
219  build_opts.add_option_if(_reinterpret_output_as_3d, "-DREINTERPRET_OUTPUT_AS_3D");
220  build_opts.add_option_if(_reinterpret_input_as_3d || _reinterpret_output_as_3d, "-DHEIGHT_GEMM3D=" + support::cpp11::to_string(output->info()->dimension(1)));
221  build_opts.add_option_if(_reinterpret_input_as_3d || _reinterpret_output_as_3d, "-DDEPTH_GEMM3D=" + support::cpp11::to_string(output->info()->dimension(2)));
222  build_opts.add_option_if(!_slide_matrix_b, "-DMATRIX_B_DEPTH=" + support::cpp11::to_string(input1->info()->dimension(2)));
223  build_opts.add_option_if(_use_dummy_work_items, "-DDUMMY_WORK_ITEMS");
224  build_opts.add_option("-DM=" + support::cpp11::to_string(input0->info()->dimension(1)));
225  build_opts.add_option("-DN=" + support::cpp11::to_string(gemm_info.n()));
226  build_opts.add_option("-DK=" + support::cpp11::to_string(gemm_info.k()));
227  build_opts.add_option("-DM0=" + support::cpp11::to_string(internal_m0));
228  build_opts.add_option("-DN0=" + support::cpp11::to_string(rhs_info.n0));
229  build_opts.add_option("-DK0=" + support::cpp11::to_string(rhs_info.k0));
230  build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input0->info()->data_type()));
231  build_opts.add_option("-DACC_DATA_TYPE=" + get_cl_dot8_acc_type_from_data_type(input0->info()->data_type()));
232  build_opts.add_option("-DPARTIAL_STORE_M0=" + support::cpp11::to_string(partial_store_m0));
233  build_opts.add_option("-DPARTIAL_STORE_N0=" + support::cpp11::to_string(partial_store_n0));
234  std::string kernel_name("gemmlowp_mm_native");
235 
236  // Create kernel
237  _kernel = create_kernel(compile_context, kernel_name, build_opts.options());
238 
239  // Set config_id for enabling LWS tuning
240  _config_id = kernel_name;
241  _config_id += "_";
242  _config_id += dot8_supported(CLKernelLibrary::get().get_device()) ? "_dot8" : "";
243  _config_id += "_";
244  _config_id += (_reinterpret_input_as_3d ? "3di_" : "");
245  _config_id += (_reinterpret_output_as_3d ? "3do_" : "");
246  _config_id += support::cpp11::to_string(output->info()->dimension(1));
247  _config_id += "_";
248  _config_id += support::cpp11::to_string(output->info()->dimension(0));
249  _config_id += "_";
250  _config_id += support::cpp11::to_string(gemm_info.k());
251  _config_id += "_";
252  _config_id += support::cpp11::to_string(output->info()->dimension(2));
253  _config_id += "_";
254  _config_id += support::cpp11::to_string(lhs_info.m0);
255  _config_id += "_";
256  _config_id += support::cpp11::to_string(rhs_info.n0);
257  _config_id += "_";
258  _config_id += support::cpp11::to_string(lhs_info.k0);
259 
261 }
262 
264  const GEMMRHSMatrixInfo &rhs_info, const GEMMReshapeInfo &gemm_info)
265 {
266  ElementsProcessed num_elements_processed{};
267  ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input0, input1, output, lhs_info, rhs_info, gemm_info));
268  ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input0->clone().get(),
269  input1->clone().get(),
270  output->clone().get(),
271  lhs_info,
272  rhs_info,
273  gemm_info,
274  num_elements_processed)
275  .first);
276 
277  return Status{};
278 }
279 
280 void CLGEMMLowpMatrixMultiplyNativeKernel::run(const Window &window, cl::CommandQueue &queue)
281 {
284 
285  if(_input1->info()->num_dimensions() < 3)
286  {
287  // The stride_z for matrix B must be zero if we do not slice
288  ARM_COMPUTE_ERROR_ON(_input1->info()->strides_in_bytes()[3] != 0);
289  }
290 
292  Window slice_matrix_b = slice;
293 
294  slice_matrix_b.set(Window::DimX, Window::Dimension(0, 1, 1));
295  slice_matrix_b.set(Window::DimY, Window::Dimension(0, 1, 1));
296 
297  if(_reinterpret_input_as_3d)
298  {
299  // Pass bottom paddings to the kernel if the input has to be reinterpreted as 3D tensor
300  const unsigned int idx0 = 3 * num_arguments_per_2D_tensor() + 3;
301  const unsigned int total_cross_plane_pad = _input0->info()->padding().top + _input0->info()->padding().bottom;
302  _kernel.setArg<cl_uint>(idx0, static_cast<unsigned int>(total_cross_plane_pad));
303  }
304 
305  if(_reinterpret_output_as_3d)
306  {
307  // Pass bottom paddings to the kernel if the output has to be reinterpreted as 3D tensor
308  const unsigned int idx0 = 3 * num_arguments_per_2D_tensor() + 3 + (_reinterpret_input_as_3d ? 1 : 0);
309  const unsigned int total_cross_plane_pad = _output->info()->padding().top + _output->info()->padding().bottom;
310  _kernel.setArg<cl_uint>(idx0, static_cast<unsigned int>(total_cross_plane_pad));
311  }
312 
313  do
314  {
315  Window slice_b = slice;
316  // Don't slice matrix B along the z dimension if matrix B has just 2 dimensions and matrix A more than 2
317  // This scenario can happen when the matrix multiplication is used to perform a convolution operation
318  if(!_slide_matrix_b)
319  {
320  slice_b = slice_matrix_b;
321  }
322 
323  unsigned int idx = 0;
324  add_2D_tensor_argument(idx, _input0, slice);
325  add_2D_tensor_argument(idx, _input1, slice_b);
326  add_2D_tensor_argument(idx, _output, slice);
327  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_input0->info()->strides_in_bytes()[2]));
328  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_input1->info()->strides_in_bytes()[2]));
329  _kernel.setArg<cl_uint>(idx++, static_cast<unsigned int>(_output->info()->strides_in_bytes()[2]));
330  enqueue(queue, *this, slice, lws_hint(), _use_dummy_work_items);
331  }
332  while(window.slide_window_slice_3D(slice));
333 }
334 } // 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.
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
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.
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
bool update_window_and_padding(Window &win, Ts &&... patterns)
Update window and padding size for each of the access patterns.
Definition: WindowHelpers.h:46
#define ARM_COMPUTE_UNUSED(...)
To avoid unused variables warnings.
Definition: Error.h:152
GEMM RHS (Right Hand Side) matrix information.
Definition: Types.h:1983
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:71
quantized, asymmetric fixed-point 8-bit number unsigned
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.
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
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.
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
#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
quantized, symmetric fixed-point 8-bit number
CLCompileContext class.
void run(const Window &window, cl::CommandQueue &queue) override
Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue...
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, symmetric per channel fixed-point 8-bit number
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
#define ARM_COMPUTE_CREATE_ERROR(error_code, msg)
Creates an error with a given message.
Definition: Error.h:159
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
bool reinterpret_input_as_3d() const
Flag which specifies if the input tensor has to be reinterpreted as 3D.
Definition: Types.h:1912
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)