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path: root/tests/validation/CL/UNIT/dynamic_fusion/ClCompositeKernel.cpp
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-rw-r--r--tests/validation/CL/UNIT/dynamic_fusion/ClCompositeKernel.cpp199
1 files changed, 170 insertions, 29 deletions
diff --git a/tests/validation/CL/UNIT/dynamic_fusion/ClCompositeKernel.cpp b/tests/validation/CL/UNIT/dynamic_fusion/ClCompositeKernel.cpp
index cb365901da..9e1b4d897b 100644
--- a/tests/validation/CL/UNIT/dynamic_fusion/ClCompositeKernel.cpp
+++ b/tests/validation/CL/UNIT/dynamic_fusion/ClCompositeKernel.cpp
@@ -32,8 +32,10 @@
#include "tests/framework/Macros.h"
#include "tests/framework/datasets/Datasets.h"
#include "tests/validation/Validation.h"
+#include "tests/validation/reference/ConvolutionLayer.h"
#include "tests/validation/reference/ElementwiseOperations.h"
#include "tests/validation/reference/GEMM.h"
+#include "tests/validation/reference/Permute.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "src/core/AccessWindowStatic.h"
@@ -83,7 +85,7 @@ TEST_SUITE(DYNAMIC_FUSION)
TEST_SUITE(ClCompositeKernel)
TEST_SUITE(Validate)
-TEST_CASE(MoveNet_SubGraph_1, framework::DatasetMode::ALL)
+TEST_CASE(MoveNet_SubGraph_1_Gemm, framework::DatasetMode::ALL)
{
/* Computation:
* out = add(addend, gemm_native(lhs, rhs, bias)) (non-broadcast)
@@ -100,11 +102,11 @@ TEST_CASE(MoveNet_SubGraph_1, framework::DatasetMode::ALL)
auto t_bias_info = TensorInfo(TensorShape(), 1, DataType::F32);
auto t_dst_info = TensorInfo(t_dst_shape, 1, data_type);
- const ClTensorDescriptor t_lhs_desc{ &t_lhs_info, 2 };
- const ClTensorDescriptor t_rhs_desc{ &t_rhs_info, 2 };
- const ClTensorDescriptor t_bias_desc{ &t_bias_info, 2 };
- const ClTensorDescriptor t_addend_desc{ &t_dst_info, 2 };
- const ClTensorDescriptor t_dst_desc{ &t_dst_info, 2 };
+ const ClTensorDescriptor t_lhs_desc{ &t_lhs_info };
+ const ClTensorDescriptor t_rhs_desc{ &t_rhs_info };
+ const ClTensorDescriptor t_bias_desc{ &t_bias_info };
+ const ClTensorDescriptor t_addend_desc{ &t_dst_info };
+ const ClTensorDescriptor t_dst_desc{ &t_dst_info };
ClKernelBlueprint bp;
ArgumentID tid_lhs;
@@ -134,10 +136,10 @@ TEST_CASE(MoveNet_SubGraph_1, framework::DatasetMode::ALL)
st = set_tile_info(bp, store_tile_info);
st = build(cl_code, ClCodeBuilderContext{ GpuInfo{ GPUTarget::G71 } }, bp);
- ClExecutionDescriptor exec_desc;
+ ClExecutionDescriptor exec_desc{};
st = tune_static(exec_desc, cl_code);
- CLScheduler::get().default_init();
+ CLScheduler::get().default_reinit();
ClCompositeKernel kernel;
kernel.configure(CLKernelLibrary::get().get_compile_context(), cl_code);
@@ -193,10 +195,149 @@ TEST_CASE(MoveNet_SubGraph_1, framework::DatasetMode::ALL)
validate(CLAccessor(t_dst), ref_t_dst, tolerance_f32);
}
+TEST_CASE(MoveNet_SubGraph_1_DirectConv2d, framework::DatasetMode::ALL)
+{
+ /* Computation:
+ * out = add(addend, direct_conv2d(lhs, rhs, bias)) (non-broadcast)
+ */
+
+ ClCompositeKernel kernel{};
+ ClKernelBlueprint bp{};
+ ClKernelCode cl_code{};
+ ClExecutionDescriptor exec_desc{};
+ Status st{};
+
+ const auto data_type = DataType::F32;
+ const auto conv_info = PadStrideInfo(1U, 1U, 1U, 1U);
+
+ const auto width = 7U;
+ const auto height = 6U;
+ const auto IFM = 5U;
+ const auto OFM = 4U;
+ const auto kernel_sz = 3U;
+
+ const auto src_shape = TensorShape(IFM, width, height);
+ const auto wei_shape = TensorShape(IFM, kernel_sz, kernel_sz, OFM);
+ const auto bia_shape = TensorShape(OFM);
+ const auto dst_shape = TensorShape(OFM, width, height);
+
+ auto src_info = TensorInfo(src_shape, 1, data_type, DataLayout::NHWC);
+ auto wei_info = TensorInfo(wei_shape, 1, data_type, DataLayout::NHWC);
+ auto bia_info = TensorInfo(bia_shape, 1, data_type, DataLayout::NHWC);
+ auto dst_info = TensorInfo(dst_shape, 1, data_type, DataLayout::NHWC);
+
+ const auto src_desc = ClTensorDescriptor(&src_info);
+ const auto wei_desc = ClTensorDescriptor(&wei_info);
+ const auto bia_desc = ClTensorDescriptor(&bia_info);
+ const auto addend_desc = ClTensorDescriptor(&dst_info);
+ const auto dst_desc = ClTensorDescriptor(&dst_info);
+
+ const auto n0 = std::min(OFM, 4u);
+ const auto m0 = (OFM > 16) ? ((data_type == DataType::F32) ? 2U : 4U) : 1U;
+
+ const ClKernelComponentDescriptor common_kernel_desc{};
+ const DirectConvolutionDescriptor direct_conv2d_desc{ conv_info };
+ const EltwiseAddDescriptor eltwise_add_desc{ ConvertPolicy::WRAP };
+ const TileDescriptor store_tile_info{ Size2D(n0, m0), Size2D(width, height), ClippingStrategy::TOP_LEFT };
+
+ ArgumentID src_id{ g_arg_placeholder };
+ ArgumentID wei_id{ g_arg_placeholder };
+ ArgumentID bia_id{ g_arg_placeholder };
+ ArgumentID acc_id{ g_arg_placeholder };
+ ArgumentID addend_id{ g_arg_placeholder };
+ ArgumentID dst_id{ g_arg_placeholder };
+
+ st = add_tensor_argument(bp, src_desc, src_id);
+ st = add_tensor_argument(bp, wei_desc, wei_id);
+ st = add_tensor_argument(bp, bia_desc, bia_id);
+ st = add_tensor_intermed(bp, acc_id);
+ st = add_tensor_argument(bp, addend_desc, addend_id);
+ st = add_tensor_argument(bp, dst_desc, dst_id);
+
+ st = add_kcomp_direct_conv(bp, common_kernel_desc, direct_conv2d_desc, src_id, wei_id, bia_id, acc_id);
+ st = add_kcomp_eltwise_add(bp, common_kernel_desc, eltwise_add_desc, addend_id, acc_id, acc_id);
+ st = add_kcomp_store(bp, common_kernel_desc, acc_id, dst_id, StoreType::TStoreIndirectWidthSelect);
+
+ exec_desc.skip_sliding_window = true;
+
+ st = set_tile_info(bp, store_tile_info);
+ st = build(cl_code, ClCodeBuilderContext{ GpuInfo{ GPUTarget::G71 } }, bp);
+ st = tune_static(exec_desc, cl_code);
+
+ CLScheduler::get().default_reinit();
+ kernel.configure(CLKernelLibrary::get().get_compile_context(), cl_code);
+
+ // Construct tensors
+ CLTensor src{};
+ CLTensor wei{};
+ CLTensor bia{};
+ CLTensor addend{};
+ CLTensor dst{};
+
+ // Init tensors
+ src.allocator()->init(src_info);
+ wei.allocator()->init(wei_info);
+ bia.allocator()->init(bia_info);
+ addend.allocator()->init(dst_info);
+ dst.allocator()->init(dst_info);
+
+ // "Pack" tensors
+ TensorBinding tensors({ { src_id, &src },
+ { wei_id, &wei },
+ { bia_id, &bia },
+ { addend_id, &addend },
+ { dst_id, &dst }
+ });
+
+ // Allocate and fill tensors
+ src.allocator()->allocate();
+ wei.allocator()->allocate();
+ bia.allocator()->allocate();
+ addend.allocator()->allocate();
+ dst.allocator()->allocate();
+
+ fill<float>(CLAccessor(src), 0);
+ fill<float>(CLAccessor(wei), 1);
+ fill<float>(CLAccessor(bia), 2);
+ fill<float>(CLAccessor(addend), 3);
+
+ CLScheduler::get().enqueue_op(kernel, tensors, exec_desc, true);
+
+ // Create reference
+ SimpleTensor<float> ref_src_nhwc{ src_shape, data_type, 1, QuantizationInfo(), DataLayout::NHWC };
+ SimpleTensor<float> ref_wei_nhwc{ wei_shape, data_type, 1, QuantizationInfo(), DataLayout::NHWC };
+ SimpleTensor<float> ref_bia_nhwc{ bia_shape, data_type, 1, QuantizationInfo(), DataLayout::NHWC };
+ SimpleTensor<float> ref_addend_nhwc{ dst_shape, data_type, 1, QuantizationInfo(), DataLayout::NHWC };
+
+ // Fill reference
+ fill<float>(ref_src_nhwc, 0);
+ fill<float>(ref_wei_nhwc, 1);
+ fill<float>(ref_bia_nhwc, 2);
+ fill<float>(ref_addend_nhwc, 3);
+
+ auto ref_src = reference::permute(ref_src_nhwc, PermutationVector(1U, 2U, 0U));
+ auto ref_wei = reference::permute(ref_wei_nhwc, PermutationVector(1U, 2U, 0U));
+ auto ref_bia = reference::permute(ref_bia_nhwc, PermutationVector(1U, 2U, 0U));
+ auto ref_addend = reference::permute(ref_addend_nhwc, PermutationVector(1U, 2U, 0U));
+
+ TensorShape dst_shape_nchw{ dst_shape };
+ permute(dst_shape_nchw, PermutationVector(1U, 2U, 0U));
+
+ const auto ref_dst = reference::arithmetic_operation(
+ ArithmeticOperation::ADD,
+ ref_addend,
+ reference::convolution_layer<float>(ref_src, ref_wei, ref_bia, dst_shape_nchw, conv_info),
+ data_type,
+ eltwise_add_desc.convert_policy);
+
+ RelativeTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */
+ validate(CLAccessor(dst), ref_dst, tolerance_f32);
+}
+
TEST_SUITE_END() // Validate
TEST_SUITE(Benchmark)
-TEST_CASE(MoveNet_SubGraph_1, framework::DatasetMode::ALL)
+TEST_CASE(MoveNet_SubGraph_1_Gemm, framework::DatasetMode::ALL)
{
using std::chrono::duration_cast;
using std::chrono::microseconds;
@@ -205,19 +346,19 @@ TEST_CASE(MoveNet_SubGraph_1, framework::DatasetMode::ALL)
/* Computation:
* out = add(addend, gemm_native(lhs, rhs, bias))
*/
- const auto data_type = DataType::F32;
- const unsigned int m = 12 * 12;
- const unsigned int n = 64;
- const unsigned int k = 384;
- const auto t_lhs_shape = TensorShape(k, m);
- const auto t_rhs_shape = TensorShape(n, k);
- const auto t_dst_shape = TensorShape(n, m);
- auto t_lhs_info = TensorInfo(t_lhs_shape, 1, data_type);
- auto t_rhs_info = TensorInfo(t_rhs_shape, 1, data_type);
- auto t_bias_info = TensorInfo(TensorShape(), 1, data_type);
- auto t_l0_dst_info = TensorInfo(t_dst_shape, 1, data_type); // Intermediate tensor for cond3
- auto t_l1_rhs_info = TensorInfo(t_dst_shape, 1, data_type);
- auto t_dst_info = TensorInfo(t_dst_shape, 1, data_type);
+ const auto data_type = DataType::F32;
+ const auto m = 12U * 12U;
+ const auto n = 64U;
+ const auto k = 384U;
+ const auto t_lhs_shape = TensorShape(k, m);
+ const auto t_rhs_shape = TensorShape(n, k);
+ const auto t_dst_shape = TensorShape(n, m);
+ auto t_lhs_info = TensorInfo(t_lhs_shape, 1, data_type);
+ auto t_rhs_info = TensorInfo(t_rhs_shape, 1, data_type);
+ auto t_bias_info = TensorInfo(TensorShape(), 1, data_type);
+ auto t_l0_dst_info = TensorInfo(t_dst_shape, 1, data_type); // Intermediate tensor for cond3
+ auto t_l1_rhs_info = TensorInfo(t_dst_shape, 1, data_type);
+ auto t_dst_info = TensorInfo(t_dst_shape, 1, data_type);
const auto common_kernel_desc = ClKernelComponentDescriptor{};
const GemmNativeDescriptor gemm_native_desc{ 1.0, 0.0, m, n, k };
@@ -242,7 +383,7 @@ TEST_CASE(MoveNet_SubGraph_1, framework::DatasetMode::ALL)
data_type,
eltwise_add_desc.convert_policy);
- CLScheduler::get().default_init();
+ CLScheduler::get().default_reinit();
/* Condition 0: Dynamic Fused Kernel */
CLTensor cond0_t_dst{};
@@ -256,11 +397,11 @@ TEST_CASE(MoveNet_SubGraph_1, framework::DatasetMode::ALL)
ArgumentID tid_l1_addend;
ArgumentID tid_dst;
- const ClTensorDescriptor t_lhs_desc{ &t_lhs_info, 2 };
- const ClTensorDescriptor t_rhs_desc{ &t_rhs_info, 2 };
- const ClTensorDescriptor t_bias_desc{ &t_bias_info, 2 };
- const ClTensorDescriptor t_addend_desc{ &t_dst_info, 2 };
- const ClTensorDescriptor t_dst_desc{ &t_dst_info, 2 };
+ const ClTensorDescriptor t_lhs_desc{ &t_lhs_info };
+ const ClTensorDescriptor t_rhs_desc{ &t_rhs_info };
+ const ClTensorDescriptor t_bias_desc{ &t_bias_info };
+ const ClTensorDescriptor t_addend_desc{ &t_dst_info };
+ const ClTensorDescriptor t_dst_desc{ &t_dst_info };
ClKernelCode cl_code;
TICK(cond0_build_time)
@@ -282,7 +423,7 @@ TEST_CASE(MoveNet_SubGraph_1, framework::DatasetMode::ALL)
TOCK(cond0_build_time, measurements)
TICK(cond0_tune_time)
- ClExecutionDescriptor exec_desc;
+ ClExecutionDescriptor exec_desc{};
st = tune_static(exec_desc, cl_code);
TOCK(cond0_tune_time, measurements)
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-23 04:44:50 +0000