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/*
* 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 "ClTemplateActivation.h"
#include "arm_compute/core/utils/ActivationFunctionUtils.h"
#include "arm_compute/core/utils/helpers/AdjustVecSize.h"
#include "arm_compute/core/utils/StringUtils.h"
#include "src/core/helpers/WindowHelpers.h"
#include "src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.h"
#include "support/StringSupport.h"
namespace arm_compute
{
namespace experimental
{
namespace dynamic_fusion
{
ClTemplateActivation::ClTemplateActivation(ComponentId id,
const ArgumentPack<ITensorInfo> &tensors,
const Attributes &attributes)
: IGpuTemplateComponentWriter{id, tensors}, _src{}, _dst{}, _attributes{attributes}
{
_src = this->tensors().get_const_tensor(TensorType::ACL_SRC);
_dst = this->tensors().get_const_tensor(TensorType::ACL_DST);
ARM_COMPUTE_ERROR_ON_NULLPTR(_src, _dst);
}
std::string ClTemplateActivation::get_name() const
{
return "activation";
}
std::string ClTemplateActivation::get_component_code(const ComponentGroup &comp_group) const
{
std::string code;
const bool is_root = (comp_group.get_root_component()->id() == this->id());
code = R"_(
//------------------ START KERNEL {{meta_kernel_id}} ---------------------
)_";
if (is_root)
{
code += R"_(
// IN(src) {{src}}
// OUT(dst, accum) {{dst}}
TILE({{DATA_TYPE}}, M0, N0, {{src}});
TILE(uint, M0, 1, g_dst_indirect_y);
{
{{src}}_offset_first_element_in_bytes += g_ind_2 * {{src}}_stride_z;
T_LOAD({{DATA_TYPE}}, M0, N0, {{TENSOR_TYPE}}, {{src}}, g_ind_0, g_ind_1, 1, {{src}}_stride_y, {{src}});
T_ACTIVATION({{DATA_TYPE}}, M0, N0, {{ACT}}, {{A_VAL}}, {{B_VAL}}, {{src}}, {{dst}});
}
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);
})
)_";
}
else
{
code += R"_(
// IN/OUT(src, accum) {{src}}
{
T_ACTIVATION({{DATA_TYPE}}, M0, N0, {{ACT}}, {{A_VAL}}, {{B_VAL}}, {{src}}, {{dst}});
}
)_";
}
code += R"_(
//------------------ END KERNEL {{meta_kernel_id}} ---------------------
)_";
return code;
}
void ClTemplateActivation::declare_variables(GpuKernelVariableTable &vtable, const 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 ClTemplateActivation::get_tag_lut(const GpuKernelVariableTable &vtable, const ComponentGroup &comp_group) const
{
ARM_COMPUTE_UNUSED(comp_group);
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["DATA_TYPE"] = get_cl_type_from_data_type(_src->data_type());
lut["TENSOR_TYPE"] = "BUFFER";
const auto f_act = lower_string(string_from_activation_func(_attributes.activation()));
lut["ACT"] = f_act;
lut["A_VAL"] = float_to_string_with_full_precision(_attributes.a());
lut["B_VAL"] = float_to_string_with_full_precision(_attributes.b());
return lut;
}
CLBuildOptions ClTemplateActivation::get_build_options(const ComponentGroup &comp_group) const
{
/// NOTE: For now tile sizes (n0, m0) are set by the execution window. This may change in the future
const auto 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_store_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_store_n0));
return build_opts;
}
std::string ClTemplateActivation::get_config_id() const
{
std::string config_id{};
config_id += "activation_";
config_id += lower_string(string_from_data_type(_src->data_type()));
config_id += "_";
config_id += support::cpp11::to_string(_src->dimension(0));
config_id += "_";
config_id += support::cpp11::to_string(_src->dimension(1));
return config_id;
}
std::set<std::string> ClTemplateActivation::get_headers_list() const
{
return std::set<std::string>{"helpers.h", "tile_helpers.h", "activation_float_helpers.h"};
}
Window ClTemplateActivation::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 / _dst->element_size(), _dst->dimension(0));
Window win = calculate_max_window(*_dst, Steps(n0));
return win.collapse(win, Window::DimZ);
}
} // namespace dynamic_fusion
} // namespace experimental
} // namespace arm_compute
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