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Diffstat (limited to 'tests/validation/fixtures/MatMulKernelFixture.h')
-rw-r--r--tests/validation/fixtures/MatMulKernelFixture.h15
1 files changed, 11 insertions, 4 deletions
diff --git a/tests/validation/fixtures/MatMulKernelFixture.h b/tests/validation/fixtures/MatMulKernelFixture.h
index 459564618f..c131fea7fa 100644
--- a/tests/validation/fixtures/MatMulKernelFixture.h
+++ b/tests/validation/fixtures/MatMulKernelFixture.h
@@ -48,7 +48,7 @@ class MatMulKernelValidationFixture : public framework::Fixture
{
public:
template <typename...>
- void setup(TensorShape shape_a, TensorShape shape_b, TensorShape output_shape, bool pretranspose_a, bool pretranspose_b, const int M0, const int N0, const int K0, DataType data_type)
+ void setup(TensorShape shape_a, TensorShape shape_b, TensorShape output_shape, bool pretranspose_a, bool pretranspose_b, const int M0, const int N0, const int K0, bool export_rhs_to_cl_image, DataType data_type)
{
// For brevity, the input shapes are assumed to be not-transposed for both Lhs and Rhs matrices.
if(pretranspose_a)
@@ -61,8 +61,13 @@ public:
permute(shape_b, PermutationVector(1U, 0U));
}
- _target = compute_target(shape_a, shape_b, output_shape, pretranspose_a, pretranspose_b, M0, N0, K0, data_type);
- _reference = compute_reference(shape_a, shape_b, output_shape, pretranspose_a, pretranspose_b, data_type);
+ _device_supports_export_to_cl_image = image2d_from_buffer_supported(CLKernelLibrary::get().get_device());
+
+ if(!export_rhs_to_cl_image || _device_supports_export_to_cl_image)
+ {
+ _target = compute_target(shape_a, shape_b, output_shape, pretranspose_a, pretranspose_b, M0, N0, K0, export_rhs_to_cl_image, data_type);
+ _reference = compute_reference(shape_a, shape_b, output_shape, pretranspose_a, pretranspose_b, data_type);
+ }
}
protected:
@@ -89,7 +94,7 @@ protected:
}
CLTensor compute_target(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &output_shape, bool pretranspose_a, bool pretranspose_b, const int M0, const int N0, const int K0,
- DataType data_type)
+ bool export_rhs_to_cl_image, DataType data_type)
{
// Create tensors
CLTensor a = create_tensor<CLTensor>(shape_a, data_type, 1);
@@ -103,6 +108,7 @@ protected:
matmul_info.m0 = M0;
matmul_info.n0 = N0;
matmul_info.k0 = K0;
+ matmul_info.export_rhs_to_cl_image = export_rhs_to_cl_image;
matMul.configure(a.info(), b.info(), dst.info(), matmul_info);
ARM_COMPUTE_ASSERT(a.info()->is_resizable());
@@ -195,6 +201,7 @@ protected:
CLTensor _target{};
SimpleTensor<T> _reference{};
+ bool _device_supports_export_to_cl_image { true };
};
} // namespace validation