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Diffstat (limited to 'src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwActivation.cpp')
-rw-r--r--src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwActivation.cpp31
1 files changed, 16 insertions, 15 deletions
diff --git a/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwActivation.cpp b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwActivation.cpp
index 224c176a31..c07fac0e0d 100644
--- a/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwActivation.cpp
+++ b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwActivation.cpp
@@ -23,14 +23,15 @@
*/
#include "GpuCkwActivation.h"
-#include "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwKernelWriter.h"
-#include "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwScopedKernelWriter.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/utils/helpers/AdjustVecSize.h"
#include "ckw/TensorTileSampler.h"
#include "src/core/helpers/WindowHelpers.h"
+#include "src/dynamic_fusion/sketch/gpu/GpuKernelArgument.h"
#include "src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.h"
+#include "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwKernelWriter.h"
+#include "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwScopedKernelWriter.h"
#include "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwVariableTable.h"
#include "src/dynamic_fusion/sketch/gpu/ckw_driver/components/utils/WriterHelper.h"
#include <string>
@@ -84,8 +85,8 @@ inline TensorTileSampler create_sampler(GpuCkwScopedKernelWriter &writer, int32_
} // namespace
GpuCkwActivation::GpuCkwActivation(ComponentId id,
- const ArgumentPack<ITensorInfo> &tensors,
- const Attributes &attributes)
+ const ArgumentPack<ITensorInfo> &tensors,
+ const Attributes &attributes)
: IGpuCkwComponentDriver{ id, tensors },
_src{},
_dst{},
@@ -102,8 +103,8 @@ void GpuCkwActivation::write_component_code(const ComponentGroup &comp_group, Gp
const unsigned int n0 = root_window.x().step();
const unsigned int m0 = root_window.y().step();
- GpuCkwComponentArgument *src = vtable.declare_variable(comp_group, writer, _src, "src");
- GpuCkwComponentArgument *dst = vtable.declare_variable(comp_group, writer, _dst, "dst");
+ GpuCkwComponentArgument *src = vtable.declare_variable(comp_group, writer, _src, TensorStorageType::ClBufferUint8Ptr, "src");
+ GpuCkwComponentArgument *dst = vtable.declare_variable(comp_group, writer, _dst, TensorStorageType::ClBufferUint8Ptr, "dst");
load_src_dst_tiles_and_prepare_sampler(writer, src, dst, m0, n0, create_sampler);
@@ -111,14 +112,14 @@ void GpuCkwActivation::write_component_code(const ComponentGroup &comp_group, Gp
auto &dst_tile = dst->tile();
// Constants
- const auto &constant_minus_1 = writer->declare_tile("minus_1", -1);
- const auto &constant_pos_1 = writer->declare_tile("one", 1);
- const auto &constant_zero = writer->declare_tile("zero", 0);
- const auto &constant_A = writer->declare_tile("A_VAL", _attributes.a());
- const auto &constant_B = writer->declare_tile("B_VAL", _attributes.b());
+ const auto &constant_minus_1 = writer->declare_tile("minus_1", -1);
+ const auto &constant_pos_1 = writer->declare_tile("one", 1);
+ const auto &constant_zero = writer->declare_tile("zero", 0);
+ const auto &constant_A = writer->declare_tile("A_VAL", _attributes.a());
+ const auto &constant_B = writer->declare_tile("B_VAL", _attributes.b());
// Perform the operation.
- switch (_attributes.activation())
+ switch(_attributes.activation())
{
case ActivationLayerInfo::ActivationFunction::LOGISTIC:
{
@@ -178,9 +179,9 @@ Window GpuCkwActivation::get_window() const
// Collapse Dim 1 (W) and Dim 2 (H) together, leave Dim 0 (C) unchanged
// This is in line with the collapsing convention used by operators like Conv2d
output_shape.collapse(2U, 1U);
- constexpr unsigned int vector_size_byte_opencl = 16;
- const unsigned int num_elems_processed_per_iteration = adjust_vec_size(vector_size_byte_opencl / _dst->element_size(), _dst->dimension(0));
- Window win = calculate_max_window(output_shape, Steps(num_elems_processed_per_iteration));
+ constexpr unsigned int vector_size_byte_opencl = 16;
+ const unsigned int num_elems_processed_per_iteration = adjust_vec_size(vector_size_byte_opencl / _dst->element_size(), _dst->dimension(0));
+ Window win = calculate_max_window(output_shape, Steps(num_elems_processed_per_iteration));
return win;
}