Rework OpenCL Depthwise Convolution

- Remove dedicated kernels for NCHW. Now we only use NHWC with permute
- Remove specialized kernels for 3x3 NHWC
- Simplify CLDepthwiseConvolutionLayer.cpp to call just the native
  implementation for both floating-point and quantized data types
- Develop two parametric opencl kernels for depthwise convolution layer NHWC
  (floating-point and quantized)
- Add support to export the weights to cl_image
- Extend test for depthwise convolution on opencl

Resolves COMPMID-4417

Change-Id: I253dd5d959a70783c82e62b1771a5e9f91621cb0
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5806
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>

1 files changed, 5 insertions, 32 deletions

diff --git a/src/core/CL/CLKernelLibrary.cpp b/src/core/CL/CLKernelLibrary.cpp
index bbd4009389..d8983fcae9 100644
--- a/src/core/CL/CLKernelLibrary.cpp
+++ b/src/core/CL/CLKernelLibrary.cpp
@@ -22,16 +22,13 @@
  * SOFTWARE.
  */
 #include "arm_compute/core/CL/CLKernelLibrary.h"
-
 #include "arm_compute/core/Error.h"
 #include "src/core/gpu/cl/ClKernelLibrary.h"
-
 #include <algorithm>
 #include <array>
 #include <fstream>
 #include <utility>
 #include <vector>
-
 namespace arm_compute
 {
 CLKernelLibrary::CLKernelLibrary()
@@ -39,123 +36,99 @@ CLKernelLibrary::CLKernelLibrary()
 {
     opencl_is_available(); // Make sure the OpenCL symbols are initialised *before* the CLKernelLibrary is built
 }
-
 CLKernelLibrary &CLKernelLibrary::get()
 {
     static CLKernelLibrary _kernel_library;
     return _kernel_library;
 }
-
 Kernel CLKernelLibrary::create_kernel(const std::string &kernel_name, const std::set<std::string> &build_options_set) const
 {
-    const opencl::ClKernelLibrary &klib = opencl::ClKernelLibrary::get();
-
-    const std::string  program_name = klib.program_name(kernel_name);
-    auto               program      = klib.program(program_name);
-    const std::string &kernel_path  = CLKernelLibrary::get().get_kernel_path();
-
+    const opencl::ClKernelLibrary &klib         = opencl::ClKernelLibrary::get();
+    const std::string              program_name = klib.program_name(kernel_name);
+    auto                           program      = klib.program(program_name);
+    const std::string             &kernel_path  = CLKernelLibrary::get().get_kernel_path();
     return _compile_context.create_kernel(kernel_name, program_name, program.program, kernel_path, build_options_set, program.is_binary);
 }
-
 std::string CLKernelLibrary::get_program_name(const std::string &kernel_name) const
 {
     return opencl::ClKernelLibrary::get().program_name(kernel_name);
 }
-
 void CLKernelLibrary::init(std::string kernel_path, cl::Context context, cl::Device device)
 {
     _compile_context = CLCompileContext(context, device);
     opencl::ClKernelLibrary::get().set_kernel_path(kernel_path);
 }
-
 void CLKernelLibrary::set_kernel_path(const std::string &kernel_path)
 {
     opencl::ClKernelLibrary::get().set_kernel_path(kernel_path);
 }
-
 cl::Context &CLKernelLibrary::context()
 {
     return _compile_context.context();
 }
-
 const cl::Device &CLKernelLibrary::get_device()
 {
     return _compile_context.get_device();
 }
-
 void CLKernelLibrary::set_device(cl::Device device)
 {
     _compile_context.set_device(device);
 }
-
 void CLKernelLibrary::set_context(cl::Context context)
 {
     _compile_context.set_context(context);
 }
-
 std::string CLKernelLibrary::get_kernel_path()
 {
     return opencl::ClKernelLibrary::get().kernel_path();
 }
-
 void CLKernelLibrary::clear_programs_cache()
 {
     _compile_context.clear_programs_cache();
 }
-
 const std::map<std::string, cl::Program> &CLKernelLibrary::get_built_programs() const
 {
     return _compile_context.get_built_programs();
 }
-
 void CLKernelLibrary::add_built_program(const std::string &built_program_name, const cl::Program &program)
 {
     _compile_context.add_built_program(built_program_name, program);
 }
-
 bool CLKernelLibrary::fp16_supported() const
 {
     return _compile_context.fp16_supported();
 }
-
 bool CLKernelLibrary::int64_base_atomics_supported() const
 {
     return _compile_context.int64_base_atomics_supported();
 }
-
 bool CLKernelLibrary::is_wbsm_supported()
 {
     return _compile_context.is_wbsm_supported();
 }
-
 std::pair<std::string, bool> CLKernelLibrary::get_program(const std::string &program_name) const
 {
     auto program_info = opencl::ClKernelLibrary::get().program(program_name);
     return std::make_pair(std::move(program_info.program), program_info.is_binary);
 }
-
 size_t CLKernelLibrary::max_local_workgroup_size(const cl::Kernel &kernel) const
 {
     return _compile_context.max_local_workgroup_size(kernel);
 }
-
 cl::NDRange CLKernelLibrary::default_ndrange() const
 {
     return _compile_context.default_ndrange();
 }
-
 std::string CLKernelLibrary::get_device_version()
 {
     return _compile_context.get_device_version();
 }
-
 cl_uint CLKernelLibrary::get_num_compute_units()
 {
     return _compile_context.get_num_compute_units();
 }
-
 CLCompileContext &CLKernelLibrary::get_compile_context()
 {
     return _compile_context;
 }
-} // namespace arm_compute
+} // namespace arm_compute
\ No newline at end of file