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authorGunes Bayir <gunes.bayir@arm.com>2024-02-07 15:34:45 +0000
committerGunes Bayir <gunes.bayir@arm.com>2024-02-09 15:59:45 +0000
commit0ee13afc4429411de9a05ba4c2ff8a580784b568 (patch)
treec9ee1acf684d52b92ffb7500b0b65eee8377ce45 /src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateResize.cpp
parenta3e1b50588b89a2c0c67da2679728a422fc16402 (diff)
downloadComputeLibrary-0ee13afc4429411de9a05ba4c2ff8a580784b568.tar.gz
Remove CKW prototype and Template Writer
Gpu code in dynamic fusion is now written by stable CKW. We do not need CKW protoype and the older writer implementation, i.e. TemplateWriter. It also removes the need for the flag -DACL_INTERNAL_TEST_CKW_IN_DF to compile and test dynamic fusion operator. Resolves: COMPMID-6715 Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Change-Id: I9f9453311e79d9be612bd4754240d832f98503e8 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/11116 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Jakub Sujak <jakub.sujak@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateResize.cpp')
-rw-r--r--src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateResize.cpp279
1 files changed, 0 insertions, 279 deletions
diff --git a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateResize.cpp b/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateResize.cpp
deleted file mode 100644
index 846c712ceb..0000000000
--- a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateResize.cpp
+++ /dev/null
@@ -1,279 +0,0 @@
-/*
- * Copyright (c) 2022-2023 Arm Limited.
- *
- * SPDX-License-Identifier: MIT
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to
- * deal in the Software without restriction, including without limitation the
- * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
- * sell copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-
-#include "ClTemplateResize.h"
-
-#include "arm_compute/core/Utils.h"
-#include "arm_compute/core/utils/helpers/AdjustVecSize.h"
-#include "arm_compute/core/utils/StringUtils.h"
-
-#include "src/core/helpers/WindowHelpers.h"
-#include "src/core/utils/ScaleUtils.h"
-#include "src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.h"
-
-namespace arm_compute
-{
-namespace experimental
-{
-namespace dynamic_fusion
-{
-ClTemplateResize::ClTemplateResize(ComponentId id,
- const ArgumentPack<ITensorInfo> &tensors,
- const ClTemplateResize::Attributes &attributes)
- : IGpuTemplateComponentWriter{id, tensors}, _src{}, _dst{}, _attributes{attributes}
-{
- _src = this->tensors().get_const_tensor(TensorType::ACL_SRC_0);
- _dst = this->tensors().get_const_tensor(TensorType::ACL_DST_0);
-
- ARM_COMPUTE_ERROR_ON_NULLPTR(_src, _dst);
-}
-
-std::string ClTemplateResize::get_name() const
-{
- return _attributes.interpolation_policy() == InterpolationPolicy::BILINEAR ? "resize_bilinear" : "resize_nearest";
-}
-
-std::string ClTemplateResize::get_component_code(const IGpuTemplateComponentWriter::ComponentGroup &comp_group) const
-{
- ARM_COMPUTE_UNUSED(comp_group);
-
- std::string code = R"_(
-//------------------ START KERNEL {{meta_kernel_id}} ---------------------
-TILE(uint, 1, 1, g_dst_indirect_y);
-{
- const int yo = g_ind_2 % {{arg_dst}}_h;
- const int bout = g_ind_2 / {{arg_dst}}_h;
-)_";
-
- if (_attributes.interpolation_policy() == InterpolationPolicy::NEAREST_NEIGHBOR)
- {
- if (_attributes.sampling_policy() == SamplingPolicy::TOP_LEFT)
- {
- code += R"_(
- float xi_f = (g_ind_1 * {{SCALE_X}});
- float yi_f = (yo * {{SCALE_Y}});
-)_";
- }
- else
- {
- code += R"_(
- float xi_f = ((g_ind_1 + 0.5f) * {{SCALE_X}});
- float yi_f = ((yo + 0.5f) * {{SCALE_Y}});
-)_";
- }
-
- if (_attributes.align_corners())
- {
- code += R"_(
- xi_f = round(xi_f);
- yi_f = round(yi_f);
-)_";
- }
-
- code += R"_(
- const int xi0 = clamp((int)xi_f, 0, (int){{src}}_w - 1);
- const int yi0 = clamp((int)yi_f, 0, (int){{src}}_h - 1);
-
- T_LOAD_NHWC_WITH_DILATION({{SRC_DATA_TYPE}}, 1, 1, N0, {{SRC_TENSOR_TYPE}}, {{src}}, bout, yi0, xi0, g_ind_0, {{src}}_w, {{src}}_h, 1, 1, false, {{dst}});
-)_";
- }
- else if (_attributes.interpolation_policy() == InterpolationPolicy::BILINEAR)
- {
- if (_attributes.sampling_policy() == SamplingPolicy::TOP_LEFT)
- {
- code += R"_(
- float xi_f = (g_ind_1 * {{SCALE_X}});
- float yi_f = (yo * {{SCALE_Y}});
-)_";
- }
- else
- {
- code += R"_(
- float xi_f = ((g_ind_1 + 0.5f) * {{SCALE_X}} - 0.5f);
- float yi_f = ((yo + 0.5f) * {{SCALE_Y}} - 0.5f);
-)_";
- }
-
- code += R"_(
- const int xi = (int)floor(xi_f);
- const int yi = (int)floor(yi_f);
-
- TILE({{SRC_DATA_TYPE}}, 1, N0, in00);
- TILE({{SRC_DATA_TYPE}}, 1, N0, in01);
- TILE({{SRC_DATA_TYPE}}, 1, N0, in10);
- TILE({{SRC_DATA_TYPE}}, 1, N0, in11);
-
- in00[0].v = {{CONSTANT_VALUE}};
- in01[0].v = {{CONSTANT_VALUE}};
- in10[0].v = {{CONSTANT_VALUE}};
- in11[0].v = {{CONSTANT_VALUE}};
-
- const int xi0 = clamp(xi, 0, (int){{src}}_w - 1);
- const int yi0 = clamp(yi, 0, (int){{src}}_h - 1);
- const int xi1 = clamp(xi + 1, 0, (int){{src}}_w - 1);
- const int yi1 = clamp(yi + 1, 0, (int){{src}}_h - 1);
-
- T_LOAD_NHWC_WITH_DILATION({{SRC_DATA_TYPE}}, 1, 1, N0, {{SRC_TENSOR_TYPE}}, {{src}}, bout, yi0, xi0, g_ind_0, {{src}}_w, {{src}}_h, 1, 1, false, in00);
- T_LOAD_NHWC_WITH_DILATION({{SRC_DATA_TYPE}}, 1, 1, N0, {{SRC_TENSOR_TYPE}}, {{src}}, bout, yi0, xi1, g_ind_0, {{src}}_w, {{src}}_h, 1, 1, false, in01);
- T_LOAD_NHWC_WITH_DILATION({{SRC_DATA_TYPE}}, 1, 1, N0, {{SRC_TENSOR_TYPE}}, {{src}}, bout, yi1, xi0, g_ind_0, {{src}}_w, {{src}}_h, 1, 1, false, in10);
- T_LOAD_NHWC_WITH_DILATION({{SRC_DATA_TYPE}}, 1, 1, N0, {{SRC_TENSOR_TYPE}}, {{src}}, bout, yi1, xi1, g_ind_0, {{src}}_w, {{src}}_h, 1, 1, false, in11);
-)_";
-
- if (is_data_type_float(_src->data_type()))
- {
- code += R"_(
- const {{SRC_DATA_TYPE}} a = ({{SRC_DATA_TYPE}})(xi_f - (float)xi);
- const {{SRC_DATA_TYPE}} b = ({{SRC_DATA_TYPE}})(1.f - a);
- const {{SRC_DATA_TYPE}} a1 = ({{SRC_DATA_TYPE}})(yi_f - (float)yi);
- const {{SRC_DATA_TYPE}} b1 = ({{SRC_DATA_TYPE}})(1.f - a1);
-
- // Calculate the output
- {{dst}}[0].v = ((in00[0].v * b * b1) + (in01[0].v * a * b1) + (in10[0].v * b * a1) + (in11[0].v * a * a1));
-)_";
- }
- else
- {
- code += R"_(
- const float a = (xi_f - (float)xi);
- const float b = (1.f - a);
- const float a1 = (yi_f - (float)yi);
- const float b1 = (1.f - a1);
-
- {{dst}}[0].v = CONVERT_SAT(
- (CONVERT(in00[0].v, VEC_DATA_TYPE(float, N0)) * b * b1) +
- (CONVERT(in01[0].v, VEC_DATA_TYPE(float, N0)) * a * b1) +
- (CONVERT(in10[0].v, VEC_DATA_TYPE(float, N0)) * b * a1) +
- (CONVERT(in11[0].v, VEC_DATA_TYPE(float, N0)) * a * a1), VEC_DATA_TYPE({{DST_DATA_TYPE}}, N0));
-)_";
- }
- }
- else
- {
- ARM_COMPUTE_ERROR("Unsupported interpolation policy");
- }
-
- code += R"_(
- g_dst_indirect_y[0].v = g_ind_1 + (yo * (int)({{arg_dst}}_w)) + bout * (int)({{arg_dst}}_w * {{arg_dst}}_h);
-}
-//------------------ END KERNEL {{meta_kernel_id}} ---------------------
-)_";
-
- return code;
-}
-
-void ClTemplateResize::declare_variables(GpuKernelVariableTable &vtable,
- const IGpuTemplateComponentWriter::ComponentGroup &comp_group) const
-{
- vtable.declare_variable(comp_group, _src, GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Tensor_4D_t_Buffer),
- "src");
-
- vtable.declare_variable(comp_group, _dst, GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Tensor_4D_t_Buffer),
- "dst");
-}
-
-TagLUT ClTemplateResize::get_tag_lut(const GpuKernelVariableTable &vtable,
- const IGpuTemplateComponentWriter::ComponentGroup &comp_group) const
-{
- TagLUT lut{};
-
- // Arguments and global shared variables
- lut["src"] = vtable.get_variable(_src);
- lut["dst"] = vtable.get_variable(_dst);
-
- const auto dst_argument = vtable.get_variable(comp_group.get_any_dst_tensor());
- lut["arg_dst"] = dst_argument.uniq_name;
-
- // Local build options
- lut["meta_kernel_id"] = id();
- lut["SRC_DATA_TYPE"] = get_cl_type_from_data_type(_src->data_type());
- lut["SRC_TENSOR_TYPE"] = "BUFFER";
- lut["DST_DATA_TYPE"] = get_cl_type_from_data_type(_dst->data_type());
- lut["CONSTANT_VALUE"] = string_from_pixel_value(0, _src->data_type());
-
- const float scale_x =
- scale_utils::calculate_resize_ratio(_src->dimension(1), _dst->dimension(1), _attributes.align_corners());
- const float scale_y =
- scale_utils::calculate_resize_ratio(_src->dimension(2), _dst->dimension(2), _attributes.align_corners());
-
- lut["SCALE_X"] = float_to_string_with_full_precision(scale_x);
- lut["SCALE_Y"] = float_to_string_with_full_precision(scale_y);
-
- return lut;
-}
-
-CLBuildOptions ClTemplateResize::get_build_options(const IGpuTemplateComponentWriter::ComponentGroup &comp_group) const
-{
- const Window root_window = comp_group.get_root_component()->template_writer()->get_window();
- const unsigned int n0 = root_window.x().step();
- const unsigned int m0 = root_window.y().step();
- const unsigned int partial_n0 = _dst->dimension(0) % n0;
-
- CLBuildOptions build_opts;
-
- build_opts.add_option("-DN0=" + support::cpp11::to_string(n0));
- build_opts.add_option("-DM0=" + support::cpp11::to_string(m0));
- build_opts.add_option("-DPARTIAL_N0=" + support::cpp11::to_string(partial_n0));
-
- return build_opts;
-}
-
-std::string ClTemplateResize::get_config_id() const
-{
- std::string config_id{};
-
- config_id += "resize_";
- config_id +=
- (_attributes.interpolation_policy() == InterpolationPolicy::NEAREST_NEIGHBOR ? "NEAREST_NEIGHBOR" : "");
- config_id += (_attributes.interpolation_policy() == InterpolationPolicy::BILINEAR ? "BILINEAR" : "");
- config_id += "_";
- config_id += (_attributes.sampling_policy() == SamplingPolicy::CENTER ? "center" : "topleft");
- config_id += "_";
- config_id += support::cpp11::to_string(_dst->dimension(0));
- config_id += "_";
- config_id += support::cpp11::to_string(_dst->dimension(1));
- config_id += "_";
- config_id += support::cpp11::to_string(_dst->dimension(2));
- config_id += "_";
- config_id += support::cpp11::to_string(_dst->dimension(3));
-
- return config_id;
-}
-
-std::set<std::string> ClTemplateResize::get_headers_list() const
-{
- return std::set<std::string>{"helpers.h", "tile_helpers.h"};
-}
-
-Window ClTemplateResize::get_window() const
-{
- ARM_COMPUTE_ERROR_ON_MSG(_dst->tensor_shape().total_size() == 0U, "Destination tensor is not initialized");
-
- const unsigned int n0 = adjust_vec_size(16 / _src->element_size(), _src->dimension(0));
- Window win = calculate_max_window(*_dst, Steps(n0));
- return win.collapse(win, Window::DimZ);
-}
-
-} // namespace dynamic_fusion
-} // namespace experimental
-} // namespace arm_compute