diff options
Diffstat (limited to 'src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.cpp')
| -rw-r--r-- | src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.cpp | 61 |
1 files changed, 42 insertions, 19 deletions
diff --git a/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.cpp b/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.cpp index 87cc110561..0a20a8f600 100644 --- a/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.cpp +++ b/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.cpp @@ -21,9 +21,10 @@ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ -#ifdef ENABLE_EXPERIMENTAL_DYNAMIC_FUSION +#ifdef ENABLE_EXPERIMENTAL_DYNAMIC_FUSION #include "src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.h" +#include "arm_compute/core/Error.h" #include "arm_compute/core/Validate.h" #include "src/core/helpers/AutoConfiguration.h" #include "src/core/helpers/WindowHelpers.h" @@ -38,12 +39,10 @@ ComponentType ClFloorKernelComponent::get_component_type() const { return ComponentType::Simple; } - std::set<std::string> ClFloorKernelComponent::get_headers_list() const { return std::set<std::string> { "common/experimental/gemm_fused_post_ops/fp_mixed_precision_helpers.h", "tile_helpers.h" }; } - Window ClFloorKernelComponent::get_window() const { const ITensorInfo *src_info = _blueprint->impl().get_kernel_argument_info(_src.arg_id); @@ -52,16 +51,22 @@ Window ClFloorKernelComponent::get_window() const ARM_COMPUTE_ERROR_ON_NULLPTR(src_info, dst_info); auto_init_if_empty(*dst_info, src_info->tensor_shape(), 1, src_info->data_type()); + TensorShape output_shape = dst_info->tensor_shape(); + // Collapse Dim 1 (W) and Dim 2 (H) together, leave Dim 0 (C) and upper dimensions unchanged + // This is in line with the collapsing convention used by Conv2d + output_shape.collapse(2U, 1U); const unsigned int vector_size_byte_opencl = 16; const unsigned int num_elems_processed_per_iteration = adjust_vec_size(vector_size_byte_opencl / dst_info->element_size(), dst_info->dimension(0)); - Window win = calculate_max_window(*dst_info, Steps(num_elems_processed_per_iteration)); + Window win = calculate_max_window(output_shape, Steps(num_elems_processed_per_iteration)); return win; } - std::string ClFloorKernelComponent::get_component_code() const { - return R"_( + bool is_root = _blueprint->impl().group(_src.arg_id) == SharedVarGroup::Argument; + if(is_root) + { + return R"_( //------------------ START KERNEL {{meta_kernel_id}} FLOOR --------------------- // IN_0(src) {{src}} // OUT(dst, accum) {{dst}} @@ -69,30 +74,40 @@ std::string ClFloorKernelComponent::get_component_code() const { TILE({{DATA_TYPE}}, M0, N0, src_tile); + // Since mout maps to dimensions 1 (y) and dimension 2 (z) of the input tensor because of the collapsed window, bout maps to dimension 3 (w) + {{src}}_offset_first_element_in_bytes += bout * {{src}}_stride_w; T_LOAD({{DATA_TYPE}}, M0, N0, BUFFER, {{src}}, cout, mout, 1, {{src}}_stride_y, src_tile); + T_FLOOR({{DATA_TYPE}}, M0, N0, src_tile, {{dst}}); } - //------------------ END KERNEL {{meta_kernel_id}} FLOOR --------------------- )_"; + } + else + { + return R"_( + //------------------ START KERNEL {{meta_kernel_id}} FLOOR --------------------- + // IN_0/Out(Accumulator) {{acc}} + // output = floor(input) + { + T_FLOOR({{DATA_TYPE}}, M0, N0, {{acc}}, {{acc}}); + } + //------------------ END KERNEL {{meta_kernel_id}} FLOOR --------------------- +)_"; + } } - CLBuildOptions ClFloorKernelComponent::generate_build_options() const { - CLBuildOptions build_opts{}; - - const auto n0 = _blueprint->impl().get_execution_window().x().step(); - const auto m0 = _blueprint->impl().get_execution_window().y().step(); - + CLBuildOptions build_opts{}; + const auto n0 = _blueprint->impl().get_execution_window().x().step(); + const auto m0 = _blueprint->impl().get_execution_window().y().step(); const auto dst_info = _blueprint->impl().get_kernel_argument_info(_blueprint->impl().get_dst_id()); const unsigned int partial_store_n0 = dst_info->dimension(0) % n0; build_opts.add_option("-DM0=" + support::cpp11::to_string(m0)); build_opts.add_option("-DN0=" + support::cpp11::to_string(n0)); build_opts.add_option("-DPARTIAL_N0=" + support::cpp11::to_string(partial_store_n0)); - return build_opts; } - std::string ClFloorKernelComponent::generate_config_id() const { auto t_dst_info = _blueprint->impl().get_kernel_argument_info(_blueprint->impl().get_dst_id()); @@ -106,20 +121,28 @@ std::string ClFloorKernelComponent::generate_config_id() const config_id += lower_string(string_from_data_layout(t_dst_info->data_layout())); return config_id; } - void ClFloorKernelComponent::allocate_shared_vars(SharedVarTable &vtable) const { vtable.add(_src, _blueprint->impl().group(_src.arg_id), ClKernelArgDescriptor(_src.arg_id, ClKernelTensorArgType::Tensor_4D_t_Buffer), "src"); vtable.add(_dst, _blueprint->impl().group(_dst.arg_id), ClKernelArgDescriptor(_dst.arg_id, ClKernelTensorArgType::Tensor_4D_t_Buffer), "dst"); } - ClFloorKernelComponent::TagLUT ClFloorKernelComponent::get_tag_lut(const SharedVarTable &vtable) const { TagLUT lut{}; const auto t_dst_info = _blueprint->impl().get_kernel_argument_info(_blueprint->impl().get_dst_id()); // Arguments and global shared variables - lut["src"] = vtable.get(_src); - lut["dst"] = vtable.get(_dst); + const bool is_root = _blueprint->impl().group(_src.arg_id) == SharedVarGroup::Argument; + + if(is_root) + { + lut["src"] = vtable.get(_src); + lut["dst"] = vtable.get(_dst); + } + else + { + lut["acc"] = vtable.get(_src); + } + lut["meta_kernel_id"] = id(); lut["DATA_TYPE"] = get_cl_type_from_data_type(t_dst_info->data_type()); return lut; |