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-rw-r--r--tests/CL/Helper.h116
1 files changed, 116 insertions, 0 deletions
diff --git a/tests/CL/Helper.h b/tests/CL/Helper.h
index 5153e98add..dd5e8647b0 100644
--- a/tests/CL/Helper.h
+++ b/tests/CL/Helper.h
@@ -29,8 +29,11 @@
#include "arm_compute/runtime/CL/functions/CLFill.h"
#include "arm_compute/runtime/IFunction.h"
#include "src/core/CL/kernels/CLFillBorderKernel.h"
+#include "src/gpu/cl/IClOperator.h"
+#include "src/gpu/cl/operators/ClFill.h"
#include "src/core/CL/ICLKernel.h"
+#include "support/Cast.h"
#include <memory>
@@ -38,6 +41,86 @@ namespace arm_compute
{
namespace test
{
+/** This template synthetizes a simple IOperator which runs the given kernel K */
+template <typename K>
+class CLSynthetizeOperator : public opencl::IClOperator
+{
+public:
+ /** Configure the kernel.
+ *
+ * @param[in] args Configuration arguments.
+ */
+ template <typename... Args>
+ void configure(Args &&... args)
+ {
+ auto k = std::make_unique<K>();
+ k->configure(CLKernelLibrary::get().get_compile_context(), std::forward<Args>(args)...);
+ _kernel = std::move(k);
+ }
+ /** Configure the kernel setting the GPU target as well
+ *
+ * @param[in] gpu_target GPUTarget to set
+ * @param[in] args Configuration arguments.
+ */
+ template <typename... Args>
+ void configure(GPUTarget gpu_target, Args &&... args)
+ {
+ auto k = std::make_unique<K>();
+ k->set_target(gpu_target);
+ k->configure(CLKernelLibrary::get().get_compile_context(), std::forward<Args>(args)...);
+ _kernel = std::move(k);
+ }
+ /** Validate input arguments
+ *
+ * @param[in] args Configuration arguments.
+ */
+ template <typename... Args>
+ static Status validate(Args &&... args)
+ {
+ return K::validate(std::forward<Args>(args)...);
+ }
+};
+
+/** As above but this also initializes to zero the input tensor */
+template <typename K, int bordersize>
+class CLSynthetizeOperatorInitOutputWithZeroAndWithZeroConstantBorder : public opencl::IClOperator
+{
+public:
+ /** Configure the kernel.
+ *
+ * @param[in] first First input argument.
+ * @param[in] second Second input argument.
+ * @param[in] args Rest of the configuration arguments.
+ */
+ template <typename T, typename... Args>
+ void configure(T first, T second, Args &&... args)
+ {
+ auto cctx = CLKernelLibrary::get().get_compile_context();
+ auto k = std::make_unique<K>();
+ k->set_target(CLScheduler::get().target());
+ k->configure(cctx, first, second, std::forward<Args>(args)...);
+ _kernel = std::move(k);
+ _border_handler.configure(cctx, first, BorderSize(bordersize), BorderMode::CONSTANT, PixelValue());
+ _fill.configure(cctx, second, PixelValue());
+ }
+
+ // Inherited method overridden:
+ void run(ITensorPack &tensors) override final
+ {
+ ARM_COMPUTE_ERROR_ON_MSG(!_kernel, "The CL kernel or function isn't configured");
+
+ ITensorPack fill_pack = { { ACL_SRC, tensors.get_tensor(TensorType::ACL_DST) } };
+ _fill.run(fill_pack);
+ CLScheduler::get().enqueue_op(_border_handler, tensors);
+ CLScheduler::get().enqueue_op(*_kernel, tensors);
+ }
+
+private:
+ opencl::ClFill _fill{}; /**< Kernel to initialize the tensor */
+ CLFillBorderKernel _border_handler{}; /**< Kernel to handle borders */
+ std::unique_ptr<ICLKernel> _kernel{}; /**< Kernel to run */
+};
+
/** This template synthetizes an ICLSimpleFunction which runs the given kernel K */
template <typename K>
class CLSynthetizeFunction : public ICLSimpleFunction
@@ -135,6 +218,39 @@ private:
CLFillBorderKernel _border_handler{}; /**< Kernel to handle borders */
std::unique_ptr<ICLKernel> _kernel{}; /**< Kernel to run */
};
+
+/** As above but this also setups a Zero border on the input tensor of the kernel's bordersize */
+template <typename K>
+class ClSynthetizeOperatorWithBorder : public opencl::IClOperator
+{
+public:
+ /** Configure the kernel.
+ *
+ * @param[in] first First configuration argument.
+ * @param[in] args Rest of the configuration arguments.
+ */
+ template <typename T, typename... Args>
+ void configure(T first, Args &&... args)
+ {
+ auto k = std::make_unique<K>();
+ k->configure(CLKernelLibrary::get().get_compile_context(), first, std::forward<Args>(args)...);
+ _kernel = std::move(k);
+
+ auto b = std::make_unique<CLFillBorderKernel>();
+ b->configure(CLKernelLibrary::get().get_compile_context(), first, BorderSize(_kernel->border_size()), BorderMode::CONSTANT, PixelValue());
+ _border_handler = std::move(b);
+ }
+
+ void run(ITensorPack &tensors) override
+ {
+ CLScheduler::get().enqueue(*_border_handler);
+ CLScheduler::get().enqueue_op(*_kernel, tensors);
+ }
+
+private:
+ std::unique_ptr<ICLKernel> _border_handler{ nullptr }; /**< Kernel to handle borders */
+ std::unique_ptr<ICLKernel> _kernel{}; /**< Kernel to run */
+};
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_CL_HELPER_H */