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authorGian Marco Iodice <gianmarco.iodice@arm.com>2018-07-26 11:44:03 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:54:54 +0000
commit68a3f56627b04acdefebe67d645727dd83889766 (patch)
tree4a3f4dc0facfda861a5ba7afa29d84d82d0829c2 /src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp
parent4e0d3819be6c61cc00c7e0fa9b4b740738c703b7 (diff)
downloadComputeLibrary-68a3f56627b04acdefebe67d645727dd83889766.tar.gz
COMPMID-1276 - Allow GEMM to work with 3D input tensor
Skipped im2col in CLGEMMConvolutionLayer for 1x1 convolutions with NHWC data layout Change-Id: I894e6b952ed8605e8f3ffc0ffc25c24730d4664c Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/141909 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp')
-rw-r--r--src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp47
1 files changed, 32 insertions, 15 deletions
diff --git a/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp b/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp
index 0c629af788..c9e6bb34b2 100644
--- a/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp
+++ b/src/core/CL/kernels/CLGEMMMatrixMultiplyKernel.cpp
@@ -56,6 +56,7 @@ inline Status validate_arguments(const ITensorInfo *input0, const ITensorInfo *i
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1);
ARM_COMPUTE_RETURN_ERROR_ON_MSG(input0->num_dimensions() > 4, "The number of dimensions for the matrix A must be <= 4");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(input1->num_dimensions() > 3, "The number of dimensions for the matrix B must be <= 3");
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(is_interleaved_transposed && reshape_info.reinterpret_input_as_3d(), "The input tensor cannot be reinterpreted as 3D if is_interleaved_transposed is true");
if(!is_interleaved_transposed)
{
@@ -125,6 +126,9 @@ inline std::pair<Status, Window> validate_and_configure_window(ITensorInfo *inpu
if(is_interleaved_transposed)
{
+ // reinterpret_input_as_3d is not supported if is_interleaved_transposed is set
+ ARM_COMPUTE_ERROR_ON(reshape_info.reinterpret_input_as_3d());
+
// Configure kernel window
num_elems_processed_per_iteration_x = max_cl_vector_width / data_size_from_type(data_type);
num_elems_processed_per_iteration_y = 4;
@@ -158,7 +162,7 @@ inline std::pair<Status, Window> validate_and_configure_window(ITensorInfo *inpu
// Note: bottom paddings are calculated manually as the output can be reinterpreted as 3D tensor
// The only way to set properly the paddings, it is to set those explicitly through the AccessWindowStatic
- const int m = input0->tensor_shape()[1];
+ const int m = reshape_info.reinterpret_input_as_3d() ? input0->tensor_shape()[1] * input0->tensor_shape()[2] : input0->tensor_shape()[1];
const int bottom_pad = (num_elems_processed_per_iteration_y - (m % num_elems_processed_per_iteration_y)) % num_elems_processed_per_iteration_y;
// Create kernels according to the architecture, data type and input size.
@@ -172,7 +176,7 @@ inline std::pair<Status, Window> validate_and_configure_window(ITensorInfo *inpu
win = calculate_max_window(tmp_info, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y));
win_out = calculate_max_window(*output, Steps(num_elems_processed_per_iteration_x, num_elems_processed_per_iteration_y));
- AccessWindowStatic input0_access(input0, 0, 0, input0->dimension(0), ceil_to_multiple(input0->dimension(1), num_elems_processed_per_iteration_y));
+ AccessWindowStatic input0_access(input0, 0, 0, input0->dimension(0), input0->dimension(1) + bottom_pad);
AccessWindowStatic input1_access(input1, 0, 0, ceil_to_multiple(input1->dimension(0), num_elems_processed_per_iteration_x), input1->dimension(1));
AccessWindowStatic output_access(output, 0, 0,
ceil_to_multiple(output->dimension(0), num_elems_processed_per_iteration_x),
@@ -198,7 +202,7 @@ inline std::pair<Status, Window> validate_and_configure_window(ITensorInfo *inpu
} // namespace
CLGEMMMatrixMultiplyKernel::CLGEMMMatrixMultiplyKernel()
- : _input0(nullptr), _input1(nullptr), _output(nullptr), _slide_matrix_b(true), _is_gemm3d(false)
+ : _input0(nullptr), _input1(nullptr), _output(nullptr), _slide_matrix_b(true), _reinterpret_input_as_3d(false), _reinterpret_output_as_3d(false)
{
}
@@ -209,19 +213,22 @@ void CLGEMMMatrixMultiplyKernel::configure(const ICLTensor *input0, const ICLTen
// Perform validate step
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input0->info(), input1->info(), output->info(), is_interleaved_transposed, reshape_info));
- _input0 = input0;
- _input1 = input1;
- _output = output;
- _slide_matrix_b = _input1->info()->num_dimensions() >= _input0->info()->num_dimensions();
+ _input0 = input0;
+ _input1 = input1;
+ _output = output;
+ _reinterpret_input_as_3d = reshape_info.reinterpret_input_as_3d();
+ _reinterpret_output_as_3d = (reshape_info.depth_output_gemm3d() != 1);
+
+ // Check if we need to slide the matrix B
+ const unsigned int num_dimensions_input0 = _reinterpret_input_as_3d ? _input0->info()->num_dimensions() - 1 : _input0->info()->num_dimensions();
+
+ _slide_matrix_b = (_input1->info()->num_dimensions() >= num_dimensions_input0);
const DataType data_type = input0->info()->data_type();
// Get target architecture
GPUTarget gpu_target = get_target();
- // Check if the output has to be reinterpreted as 3D
- _is_gemm3d = (reshape_info.depth_output_gemm3d() != 1) && is_data_type_float(data_type);
-
ElementsProcessed num_elements_processed{};
// Configure kernel window
@@ -237,9 +244,10 @@ void CLGEMMMatrixMultiplyKernel::configure(const ICLTensor *input0, const ICLTen
{
build_opts.add_option("-DALPHA=" + float_to_string_with_full_precision(alpha));
}
- build_opts.add_option_if(_is_gemm3d, "-DREINTERPRET_OUTPUT_AS_3D");
- build_opts.add_option_if(_is_gemm3d, "-DHEIGHT_GEMM3D=" + support::cpp11::to_string(output->info()->dimension(1)));
- build_opts.add_option_if(_is_gemm3d, "-DDEPTH_GEMM3D=" + support::cpp11::to_string(output->info()->dimension(2)));
+ build_opts.add_option_if(_reinterpret_input_as_3d, "-DREINTERPRET_INPUT_AS_3D");
+ build_opts.add_option_if(_reinterpret_output_as_3d, "-DREINTERPRET_OUTPUT_AS_3D");
+ build_opts.add_option_if(_reinterpret_input_as_3d || _reinterpret_output_as_3d, "-DHEIGHT_GEMM3D=" + support::cpp11::to_string(output->info()->dimension(1)));
+ build_opts.add_option_if(_reinterpret_input_as_3d || _reinterpret_output_as_3d, "-DDEPTH_GEMM3D=" + support::cpp11::to_string(output->info()->dimension(2)));
// Do not slide matrix B if _slide_matrix_b = false
build_opts.add_option_if(!_slide_matrix_b, "-DMATRIX_B_DEPTH=" + support::cpp11::to_string(input1->info()->dimension(2)));
@@ -305,7 +313,8 @@ void CLGEMMMatrixMultiplyKernel::configure(const ICLTensor *input0, const ICLTen
// Set config_id for enabling LWS tuning
_config_id = "gemm_";
_config_id += (is_interleaved_transposed ? "reshaped_" : "");
- _config_id += (_is_gemm3d ? "3d_" : "");
+ _config_id += (_reinterpret_input_as_3d ? "3di_" : "");
+ _config_id += (_reinterpret_output_as_3d ? "3do_" : "");
_config_id += lower_string(string_from_data_type(input0->info()->data_type()));
_config_id += "_";
_config_id += support::cpp11::to_string(output->info()->dimension(1));
@@ -355,10 +364,18 @@ void CLGEMMMatrixMultiplyKernel::run(const Window &window, cl::CommandQueue &que
slice_matrix_b.set(Window::DimX, Window::Dimension(0, 1, 1));
slice_matrix_b.set(Window::DimY, Window::Dimension(0, 1, 1));
- if(_is_gemm3d)
+ if(_reinterpret_input_as_3d)
{
// Pass bottom paddings to the kernel if the output has to be reinterpreted as 3D tensor
const unsigned int idx0 = 3 * num_arguments_per_2D_tensor() + 3;
+ const unsigned int total_cross_plane_pad = _input0->info()->padding().top + _input0->info()->padding().bottom;
+ _kernel.setArg<cl_uint>(idx0, static_cast<unsigned int>(total_cross_plane_pad));
+ }
+
+ if(_reinterpret_output_as_3d)
+ {
+ // Pass bottom paddings to the kernel if the output has to be reinterpreted as 3D tensor
+ const unsigned int idx0 = 3 * num_arguments_per_2D_tensor() + 3 + (_reinterpret_input_as_3d ? 1 : 0);
const unsigned int total_cross_plane_pad = _output->info()->padding().top + _output->info()->padding().bottom;
_kernel.setArg<cl_uint>(idx0, static_cast<unsigned int>(total_cross_plane_pad));
}