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-rw-r--r--tests/validation/fixtures/GEMMFixture.h17
1 files changed, 1 insertions, 16 deletions
diff --git a/tests/validation/fixtures/GEMMFixture.h b/tests/validation/fixtures/GEMMFixture.h
index 5dc2711753..f1e0ee9150 100644
--- a/tests/validation/fixtures/GEMMFixture.h
+++ b/tests/validation/fixtures/GEMMFixture.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2022 Arm Limited.
+ * Copyright (c) 2017-2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -52,7 +52,6 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ
class GEMMValidationFixture : public framework::Fixture
{
public:
- template <typename...>
void setup(TensorShape shape_a, TensorShape shape_b, TensorShape shape_c, TensorShape output_shape, float alpha, float beta, bool pretranspose, DataType data_type)
{
ARM_COMPUTE_UNUSED(pretranspose);
@@ -230,7 +229,6 @@ template <typename TensorType, typename AccessorType, typename T, typename GEMMO
class GEMMMatrixMultiplyValidationFixture : public framework::Fixture
{
public:
- template <typename...>
void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, float alpha, float beta, bool broadcast_bias, bool fp16_mixed_precision, const ActivationLayerInfo &act_info,
DataType data_type, GPUTarget gpu_arch)
{
@@ -354,7 +352,6 @@ template <typename TensorType, typename AccessorType, typename T, typename GEMMO
class GEMMMatrixMultiply3DValidationFixture : public framework::Fixture
{
public:
- template <typename...>
void setup(unsigned int m_w, unsigned int m_h, unsigned int n, unsigned int k, unsigned int batch_size, float alpha, float beta, bool broadcast_bias, bool fp16_mixed_precision,
const ActivationLayerInfo &act_info, DataType data_type, GPUTarget gpu_arch)
{
@@ -476,7 +473,6 @@ template <typename TensorType, typename AccessorType, typename T, typename Resha
class GEMMMatrixMultiplyInterleavedTransposedValidationFixture : public framework::Fixture
{
public:
- template <typename...>
void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, float alpha, float beta, unsigned int v0, unsigned int h0, bool broadcast_bias, bool fp16_mixed_precision,
const ActivationLayerInfo &act_info, DataType data_type, GPUTarget gpu_arch)
{
@@ -632,7 +628,6 @@ template <typename TensorType, typename AccessorType, typename T, typename Resha
class GEMMMatrixMultiplyInterleavedTransposed3DValidationFixture : public framework::Fixture
{
public:
- template <typename...>
void setup(unsigned int m_w, unsigned int m_h, unsigned int n, unsigned int k, unsigned int batch_size, float alpha, float beta, unsigned int v0, unsigned int h0, bool broadcast_bias,
bool fp16_mixed_precision, const ActivationLayerInfo &act_info, DataType data_type, GPUTarget gpu_arch)
{
@@ -786,7 +781,6 @@ template <typename TensorType, typename AccessorType, typename T, typename Resha
class GEMMMatrixMultiplyReshapedValidationFixture : public framework::Fixture
{
public:
- template <typename...>
void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, unsigned int v0, unsigned int h0, bool interleave_lhs,
bool interleave_rhs, bool export_to_cl_image, DataType data_type, float alpha, float beta, bool broadcast_bias, bool lhs_transpose, const ActivationLayerInfo &act_info)
{
@@ -973,7 +967,6 @@ class GEMMMatrixMultiplyReshapedWithPostOpsValidationFixture : public framework:
public:
using PostOpArgBroadcast = std::tuple<bool, bool, bool>; // Instruct fixture if we need broadcasting in dimension 0, 1, 2 of each PostOp argument
public:
- template <typename...>
void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, unsigned int v0, unsigned int h0, bool interleave_lhs,
bool interleave_rhs, bool export_to_cl_image, DataType data_type, float alpha, float beta, bool broadcast_bias, bool lhs_transpose, const ActivationLayerInfo &act_info,
const experimental::PostOpList<PostOpArgBroadcast> &post_ops)
@@ -1227,7 +1220,6 @@ template <typename TensorType, typename AccessorType, typename T, typename Resha
class GEMMMatrixMultiplyReshaped3DValidationFixture : public framework::Fixture
{
public:
- template <typename...>
void setup(unsigned int m_w, unsigned int m_h, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, unsigned int v0, unsigned int h0,
bool interleave_lhs, bool interleave_rhs, bool export_to_cl_image, DataType data_type, float alpha, float beta, bool lhs_transpose, const ActivationLayerInfo &act_info)
{
@@ -1407,7 +1399,6 @@ template <typename TensorType, typename AccessorType, typename T, typename Resha
class GEMMMatrixMultiplyReshapedOnlyRHSValidationFixture : public framework::Fixture
{
public:
- template <typename...>
void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, unsigned int h0,
bool interleave_rhs, bool transpose_rhs, bool export_to_cl_image, DataType data_type, float alpha, float beta, bool broadcast_bias, const ActivationLayerInfo &act_info)
{
@@ -1575,7 +1566,6 @@ class GEMMMatrixMultiplyReshapedOnlyRHSWithPostOpsValidationFixture : public fra
{
public:
using PostOpArgBroadcast = std::tuple<bool, bool, bool>; // Instruct fixture if we need broadcasting in dimension 0, 1, 2 of each PostOp argument
- template <typename...>
void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, unsigned int h0,
bool interleave_rhs, bool transpose_rhs, bool export_to_cl_image, DataType data_type, float alpha, float beta, bool broadcast_bias, const ActivationLayerInfo &act_info,
const experimental::PostOpList<PostOpArgBroadcast> &post_ops)
@@ -1810,7 +1800,6 @@ template <typename TensorType, typename AccessorType, typename T, typename Resha
class GEMMMatrixMultiplyReshapedOnlyRHS3DValidationFixture : public framework::Fixture
{
public:
- template <typename...>
void setup(unsigned int m_w, unsigned int m_h, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, unsigned int h0,
bool interleave_rhs, bool transpose_rhs, bool export_to_cl_image, bool has_pad_y, DataType data_type, float alpha, float beta, const ActivationLayerInfo &act_info)
{
@@ -1980,7 +1969,6 @@ template <typename TensorType, typename AccessorType, typename T, typename GEMMO
class GEMMMatrixMultiplyNativeValidationFixture : public framework::Fixture
{
public:
- template <typename...>
void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, DataType data_type, float alpha, float beta, bool broadcast_bias,
const ActivationLayerInfo &act_info)
{
@@ -2119,7 +2107,6 @@ class GEMMMatrixMultiplyNativeWithPostOpsValidationFixture : public framework::F
public:
using PostOpArgBroadcast = std::tuple<bool, bool, bool>; // Instruct fixture if we need broadcasting in dimension 0, 1, 2 of each PostOp argument
public:
- template <typename...>
void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, DataType data_type, float alpha, float beta, bool broadcast_bias,
const ActivationLayerInfo &act_info, const experimental::PostOpList<PostOpArgBroadcast> &post_ops)
{
@@ -2324,7 +2311,6 @@ template <typename TensorType, typename AccessorType, typename T, typename GEMMO
class GEMMMatrixMultiplyNative3DValidationFixture : public framework::Fixture
{
public:
- template <typename...>
void setup(unsigned int m_w, unsigned int m_h, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, DataType data_type, float alpha, float beta,
const ActivationLayerInfo &act_info)
{
@@ -2459,7 +2445,6 @@ template <typename TensorType, typename AccessorType, typename T, typename Resha
class GEMMMatrixMultiplyReshapedOnlyRhsMMULValidationFixture : public framework::Fixture
{
public:
- template <typename...>
void setup(unsigned int m, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, bool export_to_cl_image, DataType data_type, float alpha,
float beta, bool broadcast_bias,
const ActivationLayerInfo &act_info)
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-23 17:07:49 +0000