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Diffstat (limited to 'tests/validation/fixtures/GEMMFixture.h')
-rw-r--r--tests/validation/fixtures/GEMMFixture.h53
1 files changed, 29 insertions, 24 deletions
diff --git a/tests/validation/fixtures/GEMMFixture.h b/tests/validation/fixtures/GEMMFixture.h
index bf919c9b09..efe7567075 100644
--- a/tests/validation/fixtures/GEMMFixture.h
+++ b/tests/validation/fixtures/GEMMFixture.h
@@ -51,8 +51,9 @@ 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)
{
- _target = compute_target(shape_a, shape_b, shape_c, output_shape, alpha, beta, pretranspose, data_type);
- _reference = compute_reference(shape_a, shape_b, shape_c, output_shape, alpha, beta, data_type);
+ ARM_COMPUTE_UNUSED(pretranspose);
+ _target = compute_target(shape_a, shape_b, shape_c, output_shape, alpha, beta, data_type);
+ _reference = compute_reference(shape_a, shape_b, output_shape, alpha, beta, data_type);
}
protected:
@@ -74,7 +75,7 @@ protected:
}
TensorType compute_target(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_c, const TensorShape &output_shape, float alpha, float beta,
- bool pretranspose, DataType data_type)
+ DataType data_type)
{
// Create tensors
TensorType a = create_tensor<TensorType>(shape_a, data_type, 1);
@@ -124,7 +125,7 @@ protected:
return dst;
}
- SimpleTensor<T> compute_reference(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_c, const TensorShape &output_shape, float alpha, float beta,
+ SimpleTensor<T> compute_reference(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &output_shape, float alpha, float beta,
DataType data_type)
{
TensorShape shape_a_to_use = shape_a;
@@ -183,7 +184,7 @@ public:
broadcast_bias ? 1 : batch_size);
_target = compute_target(lhs_shape, rhs_shape, bias_shape, data_type, alpha, beta, broadcast_bias, fp16_mixed_precision, act_info, gpu_arch);
- _reference = compute_reference(lhs_shape, rhs_shape, bias_shape, data_type, alpha, beta, broadcast_bias, act_info);
+ _reference = compute_reference(lhs_shape, rhs_shape, data_type, alpha, beta, broadcast_bias, act_info);
}
protected:
@@ -244,7 +245,7 @@ protected:
return dst;
}
- SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, const TensorShape &bias_shape, DataType data_type, float alpha, float beta, bool broadcast_bias,
+ SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, DataType data_type, float alpha, float beta, bool broadcast_bias,
const ActivationLayerInfo &act_info)
{
TensorShape dst_shape = lhs_shape;
@@ -289,6 +290,8 @@ public:
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)
{
+ ARM_COMPUTE_UNUSED(broadcast_bias);
+
// In case of GEMM3D, m is the product between m_w and m_h
const unsigned int m = m_w * m_h;
@@ -298,7 +301,7 @@ public:
const TensorShape bias_shape(n, 1, 1);
_target = compute_target(lhs_shape, rhs_shape, bias_shape, data_type, alpha, beta, m_h, fp16_mixed_precision, act_info, gpu_arch);
- _reference = compute_reference(lhs_shape, rhs_shape, bias_shape, data_type, alpha, beta, m_h, act_info);
+ _reference = compute_reference(lhs_shape, rhs_shape, data_type, alpha, beta, m_h, act_info);
}
protected:
@@ -355,7 +358,7 @@ protected:
return dst;
}
- SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, const TensorShape &bias_shape, DataType data_type, float alpha, float beta, unsigned int m_h,
+ SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, DataType data_type, float alpha, float beta, unsigned int m_h,
const ActivationLayerInfo &act_info)
{
TensorShape dst_shape = lhs_shape;
@@ -421,7 +424,7 @@ public:
broadcast_bias ? 1 : batch_size);
_target = compute_target(lhs_shape, rhs_shape, bias_shape, lhs_info, rhs_info, data_type, alpha, beta, broadcast_bias, fp16_mixed_precision, act_info, gpu_arch);
- _reference = compute_reference(lhs_shape, rhs_shape, bias_shape, data_type, alpha, beta, broadcast_bias, act_info);
+ _reference = compute_reference(lhs_shape, rhs_shape, data_type, alpha, beta, broadcast_bias, act_info);
}
protected:
@@ -494,7 +497,7 @@ protected:
return dst;
}
- SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, const TensorShape &bias_shape, DataType data_type, float alpha, float beta, bool broadcast_bias,
+ SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, DataType data_type, float alpha, float beta, bool broadcast_bias,
const ActivationLayerInfo &act_info)
{
TensorShape dst_shape = lhs_shape;
@@ -539,6 +542,8 @@ public:
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)
{
+ ARM_COMPUTE_UNUSED(broadcast_bias);
+
GEMMLHSMatrixInfo lhs_info;
lhs_info.m0 = 4;
lhs_info.k0 = 4;
@@ -562,7 +567,7 @@ public:
const TensorShape bias_shape(n, 1, 1);
_target = compute_target(lhs_shape, rhs_shape, bias_shape, lhs_info, rhs_info, data_type, alpha, beta, m_h, fp16_mixed_precision, act_info, gpu_arch);
- _reference = compute_reference(lhs_shape, rhs_shape, bias_shape, data_type, alpha, beta, m_h, act_info);
+ _reference = compute_reference(lhs_shape, rhs_shape, data_type, alpha, beta, m_h, act_info);
}
protected:
@@ -631,7 +636,7 @@ protected:
return dst;
}
- SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, const TensorShape &bias_shape, DataType data_type, float alpha, float beta, unsigned int m_h,
+ SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, DataType data_type, float alpha, float beta, unsigned int m_h,
const ActivationLayerInfo &act_info)
{
TensorShape dst_shape = lhs_shape;
@@ -697,7 +702,7 @@ public:
broadcast_bias ? 1 : batch_size);
_target = compute_target(lhs_shape, rhs_shape, bias_shape, lhs_info, rhs_info, data_type, alpha, beta, broadcast_bias, act_info);
- _reference = compute_reference(lhs_shape, rhs_shape, bias_shape, data_type, alpha, beta, broadcast_bias, act_info);
+ _reference = compute_reference(lhs_shape, rhs_shape, data_type, alpha, beta, broadcast_bias, act_info);
}
protected:
@@ -778,7 +783,7 @@ protected:
return dst;
}
- SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, const TensorShape &bias_shape, DataType data_type, float alpha, float beta, bool broadcast_bias,
+ SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, DataType data_type, float alpha, float beta, bool broadcast_bias,
const ActivationLayerInfo &act_info)
{
TensorShape dst_shape = lhs_shape;
@@ -854,7 +859,7 @@ public:
const TensorShape bias_shape(n, 1, 1);
_target = compute_target(lhs_shape, rhs_shape, bias_shape, lhs_info, rhs_info, data_type, alpha, beta, m_h, act_info);
- _reference = compute_reference(lhs_shape, rhs_shape, bias_shape, data_type, alpha, beta, m_h, act_info);
+ _reference = compute_reference(lhs_shape, rhs_shape, data_type, alpha, beta, m_h, act_info);
}
protected:
@@ -931,7 +936,7 @@ protected:
return dst;
}
- SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, const TensorShape &bias_shape, DataType data_type, float alpha, float beta, unsigned int m_h,
+ SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, DataType data_type, float alpha, float beta, unsigned int m_h,
const ActivationLayerInfo &act_info)
{
TensorShape dst_shape = lhs_shape;
@@ -1001,7 +1006,7 @@ public:
broadcast_bias ? 1 : batch_size);
_target = compute_target(lhs_shape, rhs_shape, bias_shape, lhs_info, rhs_info, data_type, alpha, beta, broadcast_bias, act_info);
- _reference = compute_reference(lhs_shape, rhs_shape, bias_shape, data_type, alpha, beta, broadcast_bias, act_info);
+ _reference = compute_reference(lhs_shape, rhs_shape, data_type, alpha, beta, broadcast_bias, act_info);
}
protected:
@@ -1075,7 +1080,7 @@ protected:
return dst;
}
- SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, const TensorShape &bias_shape, DataType data_type, float alpha, float beta, bool broadcast_bias,
+ SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, DataType data_type, float alpha, float beta, bool broadcast_bias,
const ActivationLayerInfo &act_info)
{
TensorShape dst_shape = lhs_shape;
@@ -1140,7 +1145,7 @@ public:
const TensorShape bias_shape(n, 1, 1);
_target = compute_target(lhs_shape, rhs_shape, bias_shape, lhs_info, rhs_info, data_type, alpha, beta, m_h, act_info);
- _reference = compute_reference(lhs_shape, rhs_shape, bias_shape, data_type, alpha, beta, m_h, act_info);
+ _reference = compute_reference(lhs_shape, rhs_shape, data_type, alpha, beta, m_h, act_info);
}
protected:
@@ -1211,7 +1216,7 @@ protected:
return dst;
}
- SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, const TensorShape &bias_shape, DataType data_type, float alpha, float beta, unsigned int m_h,
+ SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, DataType data_type, float alpha, float beta, unsigned int m_h,
const ActivationLayerInfo &act_info)
{
TensorShape dst_shape = lhs_shape;
@@ -1271,7 +1276,7 @@ public:
broadcast_bias ? 1 : batch_size);
_target = compute_target(lhs_shape, rhs_shape, bias_shape, lhs_info, rhs_info, data_type, alpha, beta, broadcast_bias, act_info);
- _reference = compute_reference(lhs_shape, rhs_shape, bias_shape, data_type, alpha, beta, broadcast_bias, act_info);
+ _reference = compute_reference(lhs_shape, rhs_shape, data_type, alpha, beta, broadcast_bias, act_info);
}
protected:
@@ -1337,7 +1342,7 @@ protected:
return dst;
}
- SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, const TensorShape &bias_shape, DataType data_type, float alpha, float beta, bool broadcast_bias,
+ SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, DataType data_type, float alpha, float beta, bool broadcast_bias,
const ActivationLayerInfo &act_info)
{
TensorShape dst_shape = lhs_shape;
@@ -1399,7 +1404,7 @@ public:
const TensorShape bias_shape(n, 1, 1);
_target = compute_target(lhs_shape, rhs_shape, bias_shape, lhs_info, rhs_info, data_type, alpha, beta, m_h, act_info);
- _reference = compute_reference(lhs_shape, rhs_shape, bias_shape, data_type, alpha, beta, m_h, act_info);
+ _reference = compute_reference(lhs_shape, rhs_shape, data_type, alpha, beta, m_h, act_info);
}
protected:
@@ -1463,7 +1468,7 @@ protected:
return dst;
}
- SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, const TensorShape &bias_shape, DataType data_type, float alpha, float beta, unsigned int m_h,
+ SimpleTensor<T> compute_reference(const TensorShape &lhs_shape, const TensorShape &rhs_shape, DataType data_type, float alpha, float beta, unsigned int m_h,
const ActivationLayerInfo &act_info)
{
TensorShape dst_shape = lhs_shape;
generated by cgit v1.2.1 (git 2.23.0) at 2024-04-25 20:18:16 +0000