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| author | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2019-09-27 09:23:15 +0100 |
|---|---|---|
| committer | Gian Marco Iodice <gianmarco.iodice@arm.com> | 2019-09-30 08:28:43 +0000 |
| commit | 0c17aa25a4f7bc812707150b91930f0cf8e75294 (patch) | |
| tree | 29088e00bd7ba443dc122ad3436b0a4ef369a102 /tests/validation/fixtures | |
| parent | 40958adf8bad8fd9fefe591ee55a381f7bbb6fea (diff) | |
| download | ComputeLibrary-0c17aa25a4f7bc812707150b91930f0cf8e75294.tar.gz | |
COMPMID-2571: Add mixed-precision support in CLGEMMReshaped for FP16
Change-Id: I5ba90d4de4594ed784c7230aa6b10503be67c001
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1991
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation/fixtures')
| -rw-r--r-- | tests/validation/fixtures/GEMMFixture.h | 24 |
1 files changed, 20 insertions, 4 deletions
diff --git a/tests/validation/fixtures/GEMMFixture.h b/tests/validation/fixtures/GEMMFixture.h index 854cc4a22b..bf919c9b09 100644 --- a/tests/validation/fixtures/GEMMFixture.h +++ b/tests/validation/fixtures/GEMMFixture.h @@ -667,7 +667,7 @@ protected: SimpleTensor<T> _reference{}; }; -template <typename TensorType, typename AccessorType, typename T, typename ReshapeLHSFunctionType, typename ReshapeRHSFunctionType, typename GEMMFunctionType> +template <typename TensorType, typename AccessorType, typename T, typename ReshapeLHSFunctionType, typename ReshapeRHSFunctionType, typename GEMMFunctionType, bool fp_mixed_precision = false> class GEMMMatrixMultiplyReshapedValidationFixture : public framework::Fixture { public: @@ -734,6 +734,7 @@ protected: kernel_info.reinterpret_input_as_3d = false; kernel_info.broadcast_bias = broadcast_bias; kernel_info.activation_info = act_info; + kernel_info.fp_mixed_precision = fp_mixed_precision; // The output tensor will be auto-initialized within the function @@ -807,14 +808,21 @@ protected: } } - return reference::activation_layer(reference::gemm<T>(lhs, rhs, bias, alpha, beta), act_info); + if(fp_mixed_precision) + { + return reference::activation_layer(reference::gemm_mixed_precision<T>(lhs, rhs, bias, alpha, beta), act_info); + } + else + { + return reference::activation_layer(reference::gemm<T>(lhs, rhs, bias, alpha, beta), act_info); + } } TensorType _target{}; SimpleTensor<T> _reference{}; }; -template <typename TensorType, typename AccessorType, typename T, typename ReshapeLHSFunctionType, typename ReshapeRHSFunctionType, typename GEMMFunctionType> +template <typename TensorType, typename AccessorType, typename T, typename ReshapeLHSFunctionType, typename ReshapeRHSFunctionType, typename GEMMFunctionType, bool fp_mixed_precision = false> class GEMMMatrixMultiplyReshaped3DValidationFixture : public framework::Fixture { public: @@ -879,6 +887,7 @@ protected: kernel_info.reinterpret_input_as_3d = false; kernel_info.broadcast_bias = true; kernel_info.activation_info = act_info; + kernel_info.fp_mixed_precision = fp_mixed_precision; // The output tensor will be auto-initialized within the function @@ -951,7 +960,14 @@ protected: memcpy(bias.data() + i * n, bias.data(), n * sizeof(T)); } - return reference::activation_layer(reference::gemm<T>(lhs, rhs, bias, alpha, beta), act_info); + if(fp_mixed_precision) + { + return reference::activation_layer(reference::gemm_mixed_precision<T>(lhs, rhs, bias, alpha, beta), act_info); + } + else + { + return reference::activation_layer(reference::gemm<T>(lhs, rhs, bias, alpha, beta), act_info); + } } TensorType _target{}; |