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>

1 files changed, 0 insertions, 364 deletions

diff --git a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateDepthwiseConv2d.cpp b/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateDepthwiseConv2d.cpp
deleted file mode 100644
index 8380620ab2..0000000000
--- a/src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateDepthwiseConv2d.cpp
+++ /dev/null
@@ -1,364 +0,0 @@
-/*
- * Copyright (c) 2022 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 "ClTemplateDepthwiseConv2d.h"
-
-#include "src/core/helpers/WindowHelpers.h"
-#include "src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.h"
-
-namespace arm_compute
-{
-namespace experimental
-{
-namespace dynamic_fusion
-{
-ClTemplateDepthwiseConv2d::ClTemplateDepthwiseConv2d(ComponentId                      id,
-                                                     const ArgumentPack<ITensorInfo> &tensors,
-                                                     const Attributes                &attributes,
-                                                     const Settings                  &settings)
-    : IGpuTemplateComponentWriter{id, tensors},
-      _src{},
-      _weight{},
-      _bias{},
-      _dst{},
-      _attributes{attributes},
-      _settings{settings}
-{
-    _src    = this->tensors().get_const_tensor(TensorType::ACL_SRC_0);
-    _weight = this->tensors().get_const_tensor(TensorType::ACL_SRC_1);
-    if (this->tensors().get_const_tensor(TensorType::ACL_SRC_2))
-    {
-        _bias = this->tensors().get_const_tensor(TensorType::ACL_SRC_2);
-    }
-    _dst = this->tensors().get_const_tensor(TensorType::ACL_DST_0);
-    ARM_COMPUTE_ERROR_ON_NULLPTR(_src, _weight, _dst);
-}
-
-std::string ClTemplateDepthwiseConv2d::get_name() const
-{
-    return "depthwise_conv2d";
-}
-
-std::string ClTemplateDepthwiseConv2d::get_component_code(const ComponentGroup &comp_group) const
-{
-    ARM_COMPUTE_UNUSED(comp_group);
-
-    constexpr int height_idx = 2; // Data Layout is NHWC
-
-    std::string code = R"_(
-//------------------ START KERNEL {{meta_kernel_id}} ---------------------
-// IN_0(src)            {{src}}
-// IN_1(wei)            {{weight}}
-)_";
-
-    if (_bias != nullptr && _bias->has_valid_id())
-    {
-        code += R"_(
-// IN_1(bia)            {{bias}}
-)_";
-    }
-
-    code += R"_(
-// OUT(dst, accum)      {{dst}}
-
-TILE(uint, M0, 1, g_dst_indirect_y);
-
-{
-#define _IWEI_WIDTH {{WEI_WIDTH}}
-#define _IWEI_HEIGHT {{WEI_HEIGHT}}
-#define _IDST_WIDTH {{arg_dst}}_w
-#define _IDST_HEIGHT {{arg_dst}}_h
-#define _IM0_A M0_A
-#define _IN0_A N0_A
-#define _IM0_B _IWEI_WIDTH
-#define _IN0_B N0
-#define _IBOUNDARY_CHECK (!((_IWEI_WIDTH == 1 && _IWEI_HEIGHT == 1 && {{PAD_LEFT}} == 0 && {{PAD_TOP}} == 0 && M0 == 1)))
-)_";
-
-    code += R"_(
-    const int yo = g_ind_2 % {{arg_dst}}_h;
-    const int bout = g_ind_2 / {{arg_dst}}_h;
-)_";
-
-    code += R"_(
-
-    int xi = g_ind_1 * {{STRIDE_X}};
-    int yi = yo * {{STRIDE_Y}};
-    xi -= {{PAD_LEFT}};
-    yi -= {{PAD_TOP}};
-
-    LOOP_UNROLLING(int, i, 0, 1, M0,
-    {
-        {{dst}}[i].v = 0;
-    })
-)_";
-
-    if (_weight->dimension(height_idx) < 5)
-    {
-        code += R"_(
-    LOOP_UNROLLING(int, yk, 0, 1, _IWEI_HEIGHT,
-)_";
-    }
-    else
-    {
-        code += R"_(
-    for(int yk = 0; yk < _IWEI_HEIGHT; ++yk)
-)_";
-    }
-
-    code += R"_(
-    {
-        TILE({{SRC_DATA_TYPE}}, _IM0_A, _IN0_A, a);
-
-        LOOP_UNROLLING(int, i, 0, 1, _IM0_A,
-        {
-            a[i].v = 0;
-        })
-
-        T_LOAD_NHWC_WITH_DILATION({{SRC_DATA_TYPE}}, 1, _IM0_A, _IN0_A, {{SRC_TENSOR_TYPE}}, {{src}}, bout, yi + yk * {{DILATION_Y}}, xi, (g_ind_0 / {{DEPTH_MULTIPLIER}}), {{src}}_w, {{src}}_h, {{DILATION_X}}, 1, _IBOUNDARY_CHECK, a);
-
-        TILE({{WEI_DATA_TYPE}}, _IM0_B, _IN0_B, b);
-
-        T_LOAD({{WEI_DATA_TYPE}}, _IM0_B, _IN0_B, {{WEI_TENSOR_TYPE}}, {{weight}}, g_ind_0, yk * _IM0_B, 1, {{weight}}_stride_y, b);
-
-        LOOP_UNROLLING(int, m0, 0, 1, M0,
-        {
-            LOOP_UNROLLING(int, xk, 0, 1, _IWEI_WIDTH,
-            {
-)_";
-
-    if (!_settings.is_fma_available())
-    {
-        code += R"_(
-                {{dst}}[m0].v += a[xk + m0].v * b[xk].v;
-)_";
-    }
-    else
-    {
-        code += R"_(
-                {{dst}}[m0].v = fma(a[xk + m0].v, b[xk].v, {{dst}}[m0].v);
-)_";
-    }
-
-    code += R"_(
-            })
-        })
-    }
-)_";
-
-    if (_weight->dimension(height_idx) < 5)
-    {
-        code += R"_(
-    )
-)_";
-    }
-
-    if (_bias && _bias->has_valid_id())
-    {
-        code += R"_(
-        TILE({{BIA_DATA_TYPE}}, 1, N0, {{bias}});
-
-        T_LOAD({{BIA_DATA_TYPE}}, 1, N0, BUFFER, {{bias}}, g_ind_0, 0, 0, 0, {{bias}});
-
-        T_ELTWISE_BROADCAST_ADD_X({{ACC_DATA_TYPE}}, M0, N0, {{dst}}, {{bias}}, {{dst}});
-)_";
-    }
-
-    code += R"_(
-    LOOP_UNROLLING(int, i, 0, 1, M0,
-    {
-        g_dst_indirect_y[i].v = (uint)min((int)(g_ind_1 + i), (int)({{arg_dst}}_w) - 1);
-        g_dst_indirect_y[i].v += (int)(g_ind_2 % {{arg_dst}}_h) * (int)({{arg_dst}}_w);
-        g_dst_indirect_y[i].v += (int)(g_ind_2 / {{arg_dst}}_h) * (int)({{arg_dst}}_w * {{arg_dst}}_h);
-    })
-}
-//------------------ END KERNEL {{meta_kernel_id}} ---------------------
-)_";
-
-    return code;
-}
-
-void ClTemplateDepthwiseConv2d::declare_variables(GpuKernelVariableTable &vtable,
-                                                  const ComponentGroup   &comp_group) const
-{
-    const GpuKernelArgumentInfo::Type input_type = _settings.export_input_to_cl_image()
-                                                       ? GpuKernelArgumentInfo::Type::Tensor_4D_t_Image
-                                                       : GpuKernelArgumentInfo::Type::Tensor_4D_t_Buffer;
-
-    vtable.declare_variable(comp_group, _src, GpuKernelArgumentInfo(input_type), "src");
-
-    const GpuKernelArgumentInfo::Type weight_type = _settings.export_weights_to_cl_image()
-                                                        ? GpuKernelArgumentInfo::Type::Tensor_4D_t_Image
-                                                        : GpuKernelArgumentInfo::Type::Tensor_4D_t_Buffer;
-
-    vtable.declare_variable(comp_group, _weight, GpuKernelArgumentInfo(weight_type), "weight");
-
-    if (_bias != nullptr && _bias->has_valid_id()) // optional bias
-    {
-        vtable.declare_variable(comp_group, _bias, GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Vector), "bias");
-    }
-    vtable.declare_variable(comp_group, _dst, GpuKernelArgumentInfo(GpuKernelArgumentInfo::Type::Tensor_4D_t_Buffer),
-                            "dst");
-}
-
-TagLUT ClTemplateDepthwiseConv2d::get_tag_lut(const GpuKernelVariableTable &vtable,
-                                              const ComponentGroup         &comp_group) const
-{
-    TagLUT lut{};
-
-    // Arguments and global shared variables
-    lut["src"]    = vtable.get_variable(_src);
-    lut["weight"] = vtable.get_variable(_weight);
-
-    if (_bias != nullptr && _bias->has_valid_id()) // optional bias
-    {
-        lut["bias"]          = vtable.get_variable(_bias);
-        lut["BIA_DATA_TYPE"] = get_cl_type_from_data_type(_bias->data_type());
-    }
-    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["ACC_DATA_TYPE"]  = _src->data_type();
-    lut["SRC_DATA_TYPE"]  = _src->data_type();
-    lut["WEI_DATA_TYPE"]  = _weight->data_type();
-
-    switch (vtable.get_variable(_src).kernel_argument_info.type)
-    {
-        case GpuKernelArgumentInfo::Type::Image_Export_To_ClImage2D:
-        case GpuKernelArgumentInfo::Type::Image_3D_Export_To_ClImage2D:
-        case GpuKernelArgumentInfo::Type::Tensor_4D_t_Image:
-            lut["SRC_TENSOR_TYPE"] = "IMAGE";
-            break;
-        default:
-            lut["SRC_TENSOR_TYPE"] = "BUFFER";
-            break;
-    }
-
-    switch (vtable.get_variable(_weight).kernel_argument_info.type)
-    {
-        case GpuKernelArgumentInfo::Type::Image_Export_To_ClImage2D:
-        case GpuKernelArgumentInfo::Type::Image_3D_Export_To_ClImage2D:
-        case GpuKernelArgumentInfo::Type::Tensor_4D_t_Image:
-            lut["WEI_TENSOR_TYPE"] = "IMAGE";
-            break;
-        default:
-            lut["WEI_TENSOR_TYPE"] = "BUFFER";
-            break;
-    }
-
-    // Data Layout is NHWC
-    constexpr int width_idx  = 1;
-    constexpr int height_idx = 2;
-
-    lut["WEI_WIDTH"]  = _weight->dimension(width_idx);
-    lut["WEI_HEIGHT"] = _weight->dimension(height_idx);
-
-    lut["STRIDE_X"] = _attributes.stride().x();
-    lut["STRIDE_Y"] = _attributes.stride().y();
-
-    lut["PAD_LEFT"] = _attributes.pad().left;
-    lut["PAD_TOP"]  = _attributes.pad().top;
-
-    lut["DILATION_X"] = _attributes.dilation().x();
-    lut["DILATION_Y"] = _attributes.dilation().y();
-
-    lut["DEPTH_MULTIPLIER"] = _attributes.depth_multiplier();
-
-    return lut;
-}
-
-CLBuildOptions ClTemplateDepthwiseConv2d::get_build_options(const ComponentGroup &comp_group) const
-{
-    ARM_COMPUTE_UNUSED(comp_group);
-
-    constexpr unsigned int width_idx = 1; // Data Layout is NHWC
-
-    const unsigned int n0               = _settings.n0();
-    const unsigned int m0               = _settings.m0();
-    const unsigned int m0_a             = _weight->dimension(width_idx) + m0 - 1;
-    const unsigned int n0_a             = _attributes.depth_multiplier() > 1 ? 1 : n0;
-    const unsigned int partial_store_n0 = _dst->dimension(0) % n0;
-
-    CLBuildOptions build_opts{};
-
-    if (_settings.fast_relaxed_math())
-    {
-        build_opts.add_option("-cl-fast-relaxed-math");
-    }
-    else
-    {
-        // -cl-fast-relaxed-math also sets -cl-finite-math-only and -cl-unsafe-math-optimizations
-        // to disable -cl-finite-math-only, we only include -cl-unsafe-math-optimizations
-        build_opts.add_option("-cl-unsafe-math-optimizations");
-    }
-
-    build_opts.add_option("-DN0=" + support::cpp11::to_string(n0));
-    build_opts.add_option("-DM0=" + support::cpp11::to_string(m0));
-    build_opts.add_option("-DN0_A=" + support::cpp11::to_string(n0_a));
-    build_opts.add_option("-DM0_A=" + support::cpp11::to_string(m0_a));
-    build_opts.add_option("-DPARTIAL_N0=" + support::cpp11::to_string(partial_store_n0));
-
-    return build_opts;
-}
-
-std::string ClTemplateDepthwiseConv2d::get_config_id() const
-{
-    std::string config_id{};
-
-    config_id += support::cpp11::to_string(_src->dimension(0));
-    config_id += "_";
-    config_id += support::cpp11::to_string(_src->dimension(1));
-    config_id += "_";
-    config_id += support::cpp11::to_string(_src->dimension(2));
-    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 += string_from_data_type(_src->data_type());
-
-    return config_id;
-}
-
-std::set<std::string> ClTemplateDepthwiseConv2d::get_headers_list() const
-{
-    return std::set<std::string>{"helpers.h", "tile_helpers.h"};
-}
-
-Window ClTemplateDepthwiseConv2d::get_window() const
-{
-    ARM_COMPUTE_ERROR_ON_MSG(_dst->tensor_shape().total_size() == 0U, "Destination tensor is not initialized");
-
-    Window win = calculate_max_window(*_dst, Steps(_settings.n0(), _settings.m0()));
-    return win.collapse(win, Window::DimZ);
-}
-
-} // namespace dynamic_fusion
-} // namespace experimental
-} // namespace arm_compute