Remove legacy PostOps code
PostOps was the experimental interface for Dynamic Fusion. It is now
replaced by the new Dynamic Fusion interface with code generation using
the Compute Kernel Writer.
Resolves: COMPMID-6190
Change-Id: I813b48facef2fd6f3aee332588886b4f9b3d33d8
Signed-off-by: Jakub Sujak <jakub.sujak@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10219
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: SiCong Li <sicong.li@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/tests/validation/CL/GEMMMatrixMultiplyReshaped.cpp b/tests/validation/CL/GEMMMatrixMultiplyReshaped.cpp
index cdd8967..b06e4bf 100644
--- a/tests/validation/CL/GEMMMatrixMultiplyReshaped.cpp
+++ b/tests/validation/CL/GEMMMatrixMultiplyReshaped.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2022 Arm Limited.
+ * Copyright (c) 2018-2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -23,7 +23,6 @@
*/
#include "arm_compute/core/KernelDescriptors.h"
#include "arm_compute/core/Types.h"
-#include "arm_compute/core/experimental/PostOps.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/runtime/CL/CLTensor.h"
#include "arm_compute/runtime/CL/CLTensorAllocator.h"
@@ -62,21 +61,11 @@
template <typename T>
using CLGEMMMatrixMultiplyReshapedFixture = GEMMMatrixMultiplyReshapedValidationFixture<CLTensor, CLAccessor, T, CLGEMMReshapeLHSMatrix, CLGEMMReshapeRHSMatrix, CLGEMMMatrixMultiplyReshaped>;
-// Fixture for CLGEMMMatrixMultiplyReshaped with post ops
-template <typename T>
-using CLGEMMMatrixMultiplyReshapedWithPostOpsFixture =
- GEMMMatrixMultiplyReshapedWithPostOpsValidationFixture<CLTensor, CLAccessor, T, CLGEMMReshapeLHSMatrix, CLGEMMReshapeRHSMatrix, CLGEMMMatrixMultiplyReshaped>;
-
// Fixture for CLGEMMMatrixMultiplyReshaped mixed precision
template <typename T>
using CLGEMMMatrixMultiplyReshapedMixedPrecisionFixture =
GEMMMatrixMultiplyReshapedValidationFixture<CLTensor, CLAccessor, T, CLGEMMReshapeLHSMatrix, CLGEMMReshapeRHSMatrix, CLGEMMMatrixMultiplyReshaped, true>;
-// Fixture for CLGEMMMatrixMultiplyReshaped mixed precision with post ops
-template <typename T>
-using CLGEMMMatrixMultiplyReshapedMixedPrecisionWithPostOpsFixture =
- GEMMMatrixMultiplyReshapedWithPostOpsValidationFixture<CLTensor, CLAccessor, T, CLGEMMReshapeLHSMatrix, CLGEMMReshapeRHSMatrix, CLGEMMMatrixMultiplyReshaped, true>;
-
// Fixture for CLGEMMMatrixMultiplyReshaped3D
template <typename T>
using CLGEMMMatrixMultiplyReshaped3DFixture = GEMMMatrixMultiplyReshaped3DValidationFixture<CLTensor, CLAccessor, T, CLGEMMReshapeLHSMatrix, CLGEMMReshapeRHSMatrix, CLGEMMMatrixMultiplyReshaped>;
@@ -184,108 +173,6 @@
/** LHS transposed values */
const auto lhs_transpose_values = framework::dataset::make("lhs_transpose", { false, true } );
-/** Post Ops */
-using PostOpArgBroadcast = CLGEMMMatrixMultiplyReshapedWithPostOpsFixture<float>::PostOpArgBroadcast;
-experimental::PostOpList<PostOpArgBroadcast> post_ops_1()
-{
- experimental::PostOpList<PostOpArgBroadcast> post_ops{};
- post_ops.push_back_op<experimental::PostOpAct<PostOpArgBroadcast>>(ActivationLayerInfo{ActivationLayerInfo::ActivationFunction::LINEAR, 0.5F, 0.0F});
- post_ops.push_back_op<experimental::PostOpEltwiseAdd<PostOpArgBroadcast>>(
- std::make_tuple(true, true, false), // If broadcast in dims 0, 1 and 2
- 0,
- ConvertPolicy::SATURATE);
- post_ops.push_back_op<experimental::PostOpAct<PostOpArgBroadcast>>(ActivationLayerInfo{ActivationLayerInfo::ActivationFunction::RELU, 2.1F, 1.3F});
- return post_ops;
-}
-experimental::PostOpList<PostOpArgBroadcast> post_ops_2()
-{
- experimental::PostOpList<PostOpArgBroadcast> post_ops{};
- post_ops.push_back_op<experimental::PostOpEltwiseAdd<PostOpArgBroadcast>>(
- std::make_tuple(false, true, true), // If broadcast in dims 0, 1 and 2
- 1,
- ConvertPolicy::SATURATE);
- post_ops.push_back_op<experimental::PostOpAct<PostOpArgBroadcast>>(ActivationLayerInfo{ActivationLayerInfo::ActivationFunction::RELU, 2.1F, 1.3F});
- return post_ops;
-}
-experimental::PostOpList<PostOpArgBroadcast> post_ops_3()
-{
- experimental::PostOpList<PostOpArgBroadcast> post_ops{};
- post_ops.push_back_op<experimental::PostOpAct<PostOpArgBroadcast>>(ActivationLayerInfo{ActivationLayerInfo::ActivationFunction::RELU, 2.1F, 1.3F});
- post_ops.push_back_op<experimental::PostOpEltwiseAdd<PostOpArgBroadcast>>(
- std::make_tuple(false, false, true), // If broadcast in dims 0, 1 and 2
- 1,
- ConvertPolicy::SATURATE);
- return post_ops;
-}
-// To test that the output of the main op is the first parameter in prelu post op
-experimental::PostOpList<PostOpArgBroadcast> post_ops_4()
-{
- experimental::PostOpList<PostOpArgBroadcast> post_ops{};
- post_ops.push_back_op<experimental::PostOpAct<PostOpArgBroadcast>>(ActivationLayerInfo{ActivationLayerInfo::ActivationFunction::LINEAR, 0.5F, 0.0F});
- post_ops.push_back_op<experimental::PostOpEltwisePRelu<PostOpArgBroadcast>>(
- std::make_tuple(false, false, true), // If true, broadcast in corresponding dim: 0, 1 or 2
- 0,
- ConvertPolicy::SATURATE);
- post_ops.push_back_op<experimental::PostOpAct<PostOpArgBroadcast>>(ActivationLayerInfo{ActivationLayerInfo::ActivationFunction::RELU, 2.1F, 1.3F});
- return post_ops;
-}
-// To test that the output of the main op is the second parameter in prelu post op i.e. it is the alpha_param
-experimental::PostOpList<PostOpArgBroadcast> post_ops_5()
-{
- experimental::PostOpList<PostOpArgBroadcast> post_ops{};
- post_ops.push_back_op<experimental::PostOpAct<PostOpArgBroadcast>>(ActivationLayerInfo{ActivationLayerInfo::ActivationFunction::LINEAR, 0.5F, 0.0F});
- post_ops.push_back_op<experimental::PostOpEltwisePRelu<PostOpArgBroadcast>>(
- std::make_tuple(false, false, false), // If true, broadcast in corresponding dim: 0, 1 or 2
- 1,
- ConvertPolicy::SATURATE);
- post_ops.push_back_op<experimental::PostOpAct<PostOpArgBroadcast>>(ActivationLayerInfo{ActivationLayerInfo::ActivationFunction::RELU, 2.1F, 1.3F});
- return post_ops;
-}
-/** Different Post Op Lists */
-const auto post_op_lists = framework::dataset::make("post_op_lists", {
- post_ops_1(),
- post_ops_2(),
- post_ops_3(),
- post_ops_4(),
- post_ops_5()
- } );
-
-bool is_post_op_list_valid(unsigned int m, unsigned int n, unsigned int k, unsigned int batch, DataType data_type, const experimental::PostOpList<ITensorInfo*>& post_ops)
-{
- const auto lhs_info = GEMMLHSMatrixInfo(4,4,1,false,true);
- const auto rhs_info = GEMMRHSMatrixInfo(4,4,1,true,true,false);
-
- // Create TensorInfo for post op arguments
- TensorInfo input0_info(TensorShape(k, m, batch), 1, data_type);
- TensorInfo input1_info(TensorShape(n, k, batch), 1, data_type);
- TensorInfo input2_info(TensorShape(n), 1, data_type);
- TensorInfo output_info(TensorShape(n, m, batch), 1, data_type);
-
- const TensorInfo reshaped_input0_info = input0_info.clone()->set_tensor_shape(misc::shape_calculator::compute_lhs_reshaped_shape(input0_info, lhs_info));
- const TensorInfo reshaped_input1_info = input1_info.clone()->set_tensor_shape(misc::shape_calculator::compute_rhs_reshaped_shape(input1_info, rhs_info));
-
- GEMMKernelInfo gemm_info(m, n, k, 0 /**< Depth of the output tensor in case is reinterpreted as 3D */,
- false /**< reinterpret the input as 3D */,
- true /**< Flag used to broadcast the bias addition */,
- false /**< wider accumm */,
- false /**< has pad y */,
- ActivationLayerInfo::ActivationFunction::IDENTITY,
- 1 /**< Multiplication factor for the width of the 1xW transposed block */,
- 1 /**< Multiplication factor for the height of the 4x4 interleaved block */,
- lhs_info,
- rhs_info,
- 0 /**< Offset to be added to each element of the matrix A */,
- 0 /**< Offset to be added to each element of the matrix B */,
- post_ops);
- return bool(ClGemmMatrixMultiplyReshapedKernel::validate(&reshaped_input0_info.clone()->set_is_resizable(true),
- &reshaped_input1_info.clone()->set_is_resizable(true),
- &input2_info.clone()->set_is_resizable(true),
- &output_info.clone()->set_is_resizable(true),1.f,1.f,
- lhs_info,
- rhs_info,
- gemm_info));
-}
-
} // namespace
TEST_SUITE(CL)
@@ -450,119 +337,7 @@
rhs_info,
gemm_info)) == expected, framework::LogLevel::ERRORS);
}
-TEST_SUITE(ValidateFusedPostOpsConfigs)
-TEST_SUITE(Invalid)
-TEST_CASE(UnsupportedPostOpSequence, framework::DatasetMode::ALL)
-{
- const auto data_type = DataType::F32;
- const unsigned int m = 17;
- const unsigned int n = 1;
- const unsigned int k = 13;
- const unsigned int batch = 2;
- TensorShape post_op_arg0_shape(n, m, batch);
- TensorInfo post_op_arg_info(post_op_arg0_shape, 1, data_type);
- auto post_op_arg1_info = post_op_arg_info.clone();
- // Unsupported sequence of post ops
- experimental::PostOpList<ITensorInfo*> post_ops{};
- post_ops.push_back_op<experimental::PostOpEltwiseAdd<ITensorInfo*>>(
- &post_op_arg_info,
- 1,
- ConvertPolicy::SATURATE);
- post_ops.push_back_op<experimental::PostOpEltwiseAdd<ITensorInfo*>>(
- post_op_arg1_info.get(),
- 0,
- ConvertPolicy::SATURATE);
-
- ARM_COMPUTE_EXPECT(is_post_op_list_valid(m, n, k, batch, data_type, post_ops) == false, framework::LogLevel::ERRORS);
-}
-TEST_CASE(OutputWidened, framework::DatasetMode::ALL)
-{
- // Invalid broadcast: post op tensors "widen" the output tensor
- const auto data_type = DataType::F32;
- const unsigned int m = 17;
- const unsigned int n = 1;
- const unsigned int k = 13;
- const unsigned int batch = 2;
- TensorShape post_op_arg_shape(n + 4, m, batch); // output's X dimension (n) is "widened", which is not allowed
- TensorInfo post_op_arg_info(post_op_arg_shape, 1, data_type);
- experimental::PostOpList<ITensorInfo*> post_ops{};
- post_ops.push_back_op<experimental::PostOpEltwiseAdd<ITensorInfo*>>( &post_op_arg_info, 0, ConvertPolicy::SATURATE);
-
- ARM_COMPUTE_EXPECT(is_post_op_list_valid(m, n, k, batch, data_type, post_ops) == false, framework::LogLevel::ERRORS);
-}
-TEST_CASE(BroadcastInXDimOnly, framework::DatasetMode::ALL)
-{
- // Invalid broadcast: post op tensors broadcast in the first dimension (X) only
- const auto data_type = DataType::F32;
- const unsigned int m = 22;
- const unsigned int n = 16;
- const unsigned int k = 15;
- const unsigned int batch = 3;
- TensorShape post_op_arg_shape(1, m, batch);
- TensorInfo post_op_arg_info(post_op_arg_shape, 1, data_type);
- experimental::PostOpList<ITensorInfo*> post_ops{};
- post_ops.push_back_op<experimental::PostOpEltwiseAdd<ITensorInfo*>>( &post_op_arg_info, 0, ConvertPolicy::SATURATE);
-
- ARM_COMPUTE_EXPECT(is_post_op_list_valid(m, n, k, batch, data_type, post_ops) == false, framework::LogLevel::ERRORS);
-}
-TEST_SUITE_END() // Invalid
-TEST_SUITE(Valid)
-TEST_CASE(EmptyPostOpList, framework::DatasetMode::ALL)
-{
- const auto data_type = DataType::F32;
- const unsigned int m = 22;
- const unsigned int n = 16;
- const unsigned int k = 15;
- const unsigned int batch = 3;
- experimental::PostOpList<ITensorInfo*> post_ops{};
-
- ARM_COMPUTE_EXPECT(is_post_op_list_valid(m, n, k, batch, data_type, post_ops) == true, framework::LogLevel::ERRORS);
-}
-TEST_CASE(BroadcastInYDimOnly, framework::DatasetMode::ALL)
-{
- const auto data_type = DataType::F32;
- const unsigned int m = 22;
- const unsigned int n = 16;
- const unsigned int k = 15;
- const unsigned int batch = 3;
- TensorShape post_op_arg_shape(n, 1, batch);
- TensorInfo post_op_arg_info(post_op_arg_shape, 1, data_type);
- experimental::PostOpList<ITensorInfo*> post_ops{};
- post_ops.push_back_op<experimental::PostOpEltwiseAdd<ITensorInfo*>>( &post_op_arg_info, 0, ConvertPolicy::SATURATE);
-
- ARM_COMPUTE_EXPECT(is_post_op_list_valid(m, n, k, batch, data_type, post_ops) == true, framework::LogLevel::ERRORS);
-}
-TEST_CASE(BroadcastInBothXandYDims, framework::DatasetMode::ALL)
-{
- const auto data_type = DataType::F32;
- const unsigned int m = 22;
- const unsigned int n = 16;
- const unsigned int k = 15;
- const unsigned int batch = 3;
- TensorShape post_op_arg_shape(1, 1, batch);
- TensorInfo post_op_arg_info(post_op_arg_shape, 1, data_type);
- experimental::PostOpList<ITensorInfo*> post_ops{};
- post_ops.push_back_op<experimental::PostOpEltwiseAdd<ITensorInfo*>>( &post_op_arg_info, 0, ConvertPolicy::SATURATE);
-
- ARM_COMPUTE_EXPECT(is_post_op_list_valid(m, n, k, batch, data_type, post_ops) == true, framework::LogLevel::ERRORS);
-}
-TEST_CASE(BroadcastInAllDims, framework::DatasetMode::ALL)
-{
- const auto data_type = DataType::F32;
- const unsigned int m = 22;
- const unsigned int n = 16;
- const unsigned int k = 15;
- const unsigned int batch = 3;
- TensorShape post_op_arg_shape(1, 1, 1);
- TensorInfo post_op_arg_info(post_op_arg_shape, 1, data_type);
- experimental::PostOpList<ITensorInfo*> post_ops{};
- post_ops.push_back_op<experimental::PostOpEltwiseAdd<ITensorInfo*>>( &post_op_arg_info, 0, ConvertPolicy::SATURATE);
-
- ARM_COMPUTE_EXPECT(is_post_op_list_valid(m, n, k, batch, data_type, post_ops) == true, framework::LogLevel::ERRORS);
-}
-TEST_SUITE_END() // Valid
-TEST_SUITE_END() // ValidateFusedPostOps
TEST_SUITE(Float)
TEST_SUITE(FP32)
@@ -697,44 +472,6 @@
framework::ARM_COMPUTE_PRINT_INFO();
}
}
-TEST_SUITE(FusedPostOps)
-
-FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMMatrixMultiplyReshapedWithPostOpsFixture<float>, framework::DatasetMode::ALL,
- combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
- m_values,
- n_values),
- k_values),
- b_values),
- m0_values_precommit),
- n0_values_precommit),
- k0_values_precommit),
- v0_values_precommit),
- h0_values_precommit),
- framework::dataset::make("interleave_lhs", { false })),
- framework::dataset::make("interleave_rhs", { false })),
- framework::dataset::make("export_to_cl_image_rhs", false)),
- framework::dataset::make("DataType", DataType::F32)),
- a_values_precommit),
- beta_values_precommit),
- framework::dataset::make("broadcast_bias", { true } )),
- lhs_transpose_values),
- act_values),
- post_op_lists)
- )
-{
- // Validate output
- if(validate_result)
- {
- validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
- }
- else
- {
- ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
- framework::ARM_COMPUTE_PRINT_INFO();
- }
-}
-
-TEST_SUITE_END() // FusedPostOps
TEST_SUITE(ExportToCLImage)
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
@@ -1002,44 +739,6 @@
framework::ARM_COMPUTE_PRINT_INFO();
}
}
-TEST_SUITE(FusedPostOps)
-
-FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMMatrixMultiplyReshapedWithPostOpsFixture<float>, framework::DatasetMode::ALL,
- combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
- m_values,
- n_values),
- k_values),
- b_values),
- m0_values_precommit),
- n0_values_precommit),
- k0_values_precommit),
- v0_values_precommit),
- h0_values_precommit),
- framework::dataset::make("interleave_lhs", { false })),
- framework::dataset::make("interleave_rhs", { false })),
- framework::dataset::make("export_to_cl_image_rhs", true)),
- framework::dataset::make("DataType", DataType::F32)),
- a_values_precommit),
- beta_values_precommit),
- framework::dataset::make("broadcast_bias", { true } )),
- lhs_transpose_values),
- act_values),
- post_op_lists)
- )
-{
- // Validate output only if validate() is successful
- if(validate_result)
- {
- validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
- }
- else
- {
- ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
- framework::ARM_COMPUTE_PRINT_INFO();
- }
-}
-
-TEST_SUITE_END() // FusedPostOps
TEST_SUITE_END() // ExportToCLImage
TEST_SUITE_END() // FP32
@@ -1178,45 +877,6 @@
}
}
-TEST_SUITE(FusedPostOps)
-
-FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMMatrixMultiplyReshapedWithPostOpsFixture<half>, framework::DatasetMode::ALL,
- combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
- m_values,
- n_values),
- k_values),
- b_values),
- m0_values_precommit),
- n0_values_precommit),
- k0_values_precommit),
- v0_values_precommit),
- h0_values_precommit),
- framework::dataset::make("interleave_lhs", { false })),
- framework::dataset::make("interleave_rhs", { false })),
- framework::dataset::make("export_to_cl_image_rhs", false)),
- framework::dataset::make("DataType", DataType::F16)),
- a_values_precommit),
- beta_values_precommit),
- framework::dataset::make("broadcast_bias", { true } )),
- lhs_transpose_values),
- act_values),
- post_op_lists)
- )
-{
- // Validate output
- if(validate_result)
- {
- validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
- }
- else
- {
- ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
- framework::ARM_COMPUTE_PRINT_INFO();
- }
-}
-
-TEST_SUITE_END() // FusedPostOps
-
TEST_SUITE(ExportToCLImage)
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
framework::dataset::make("Input0Info", { TensorInfo(TensorShape(256U, 16U, 2U), 1, DataType::F16), // OK or incorrect if cl_khr_image2d_from_buffer not supported
@@ -1483,44 +1143,6 @@
framework::ARM_COMPUTE_PRINT_INFO();
}
}
-TEST_SUITE(FusedPostOps)
-
-FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMMatrixMultiplyReshapedWithPostOpsFixture<half>, framework::DatasetMode::ALL,
- combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
- m_values,
- n_values),
- k_values),
- b_values),
- m0_values_precommit),
- n0_values_precommit),
- k0_values_precommit),
- v0_values_precommit),
- h0_values_precommit),
- framework::dataset::make("interleave_lhs", { false })),
- framework::dataset::make("interleave_rhs", { false })),
- framework::dataset::make("export_to_cl_image_rhs", true)),
- framework::dataset::make("DataType", DataType::F16)),
- a_values_precommit),
- beta_values_precommit),
- framework::dataset::make("broadcast_bias", { true } )),
- lhs_transpose_values),
- act_values),
- post_op_lists)
- )
-{
- // Validate output only if validate() is successful
- if(validate_result)
- {
- validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
- }
- else
- {
- ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
- framework::ARM_COMPUTE_PRINT_INFO();
- }
-}
-
-TEST_SUITE_END() // FusedPostOps
TEST_SUITE_END() // ExportToCLImage
TEST_SUITE_END() // FP16
@@ -1659,45 +1281,6 @@
}
}
-TEST_SUITE(FusedPostOps)
-
-FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMMatrixMultiplyReshapedMixedPrecisionWithPostOpsFixture<half>, framework::DatasetMode::ALL,
- combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
- m_values,
- n_values),
- k_values),
- b_values),
- m0_values_precommit),
- n0_values_precommit),
- k0_values_precommit),
- v0_values_precommit),
- h0_values_precommit),
- framework::dataset::make("interleave_lhs", { false })),
- framework::dataset::make("interleave_rhs", { false })),
- framework::dataset::make("export_to_cl_image_rhs", { true, false })),
- framework::dataset::make("DataType", DataType::F16)),
- a_values_precommit),
- beta_values_precommit),
- framework::dataset::make("broadcast_bias", { true } )),
- lhs_transpose_values),
- act_values),
- post_op_lists)
- )
-{
- // Validate output
- if(validate_result)
- {
- validate(CLAccessor(_target), _reference, rel_tolerance_f16_mixed_precision, 0.f, abs_tolerance_f16_mixed_precision);
- }
- else
- {
- ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
- framework::ARM_COMPUTE_PRINT_INFO();
- }
-}
-
-TEST_SUITE_END() // FusedPostOps
-
TEST_SUITE_END() // MixedPrecision
TEST_SUITE_END() // Float
TEST_SUITE_END() // GEMMMatrixMultiplyReshaped