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Diffstat (limited to 'tests/validation/fixtures/GEMMLowpFixture.h')
-rw-r--r--tests/validation/fixtures/GEMMLowpFixture.h162
1 files changed, 81 insertions, 81 deletions
diff --git a/tests/validation/fixtures/GEMMLowpFixture.h b/tests/validation/fixtures/GEMMLowpFixture.h
index 9e5eb53381..d7fe96cd3d 100644
--- a/tests/validation/fixtures/GEMMLowpFixture.h
+++ b/tests/validation/fixtures/GEMMLowpFixture.h
@@ -128,9 +128,9 @@ TensorType compute_gemmlowp_target(const TensorShape &shape_a, const TensorShape
FunctionType gemmlowp;
gemmlowp.configure(&a, &b, is_fused ? &bias : nullptr, &output, GEMMInfo(false, false, false, (reinterpret_output_as_3d ? shape_output[2] : 0), reinterpret_input_as_3d, false, output_stage));
- ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(output.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(a.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(b.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(output.info()->is_resizable());
add_padding_x({ &a, &b, &output });
@@ -139,9 +139,9 @@ TensorType compute_gemmlowp_target(const TensorShape &shape_a, const TensorShape
b.allocator()->allocate();
output.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!a.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!b.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!output.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!a.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!b.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!output.info()->is_resizable());
// Fill tensors
fill(AccessorType(a), 0);
@@ -149,9 +149,9 @@ TensorType compute_gemmlowp_target(const TensorShape &shape_a, const TensorShape
if(is_fused)
{
- ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(bias.info()->is_resizable());
bias.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!bias.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!bias.info()->is_resizable());
fill(AccessorType(bias), 2);
}
// Compute GEMM function
@@ -214,7 +214,7 @@ public:
template <typename...>
void setup(TensorShape shape_a, TensorShape shape_b, TensorShape shape_output, int32_t a_offset, int32_t b_offset, GEMMLowpOutputStageInfo output_stage, DataType data_type_b)
{
- ARM_COMPUTE_EXPECT(output_stage.type != GEMMLowpOutputStageType::NONE, framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(output_stage.type != GEMMLowpOutputStageType::NONE);
DataType data_type_a = data_type_b == DataType::QASYMM8_SIGNED ? DataType::QASYMM8_SIGNED : DataType::QASYMM8;
if(data_type_b == DataType::QSYMM8_PER_CHANNEL)
@@ -317,27 +317,27 @@ protected:
output_stage_info.output_data_type = DataType::QASYMM8;
output_stage.configure(&a, add_bias ? &b : nullptr, &c, output_stage_info);
- ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(c.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(a.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(c.info()->is_resizable());
// Allocate tensors
a.allocator()->allocate();
c.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!a.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!c.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!a.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!c.info()->is_resizable());
// Fill tensor
fill(AccessorType(a), 0);
if(add_bias)
{
- ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(b.info()->is_resizable());
// Allocate bias tensor
b.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!b.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!b.info()->is_resizable());
// Fill tensor
fill(AccessorType(b), 1);
@@ -419,27 +419,27 @@ protected:
output_stage_info.output_data_type = DataType::QASYMM8_SIGNED;
output_stage.configure(&a, add_bias ? &b : nullptr, &c, output_stage_info);
- ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(c.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(a.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(c.info()->is_resizable());
// Allocate tensors
a.allocator()->allocate();
c.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!a.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!c.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!a.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!c.info()->is_resizable());
// Fill tensor
fill(AccessorType(a), 0);
if(add_bias)
{
- ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(b.info()->is_resizable());
// Allocate bias tensor
b.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!b.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!b.info()->is_resizable());
// Fill tensor
fill(AccessorType(b), 1);
@@ -513,27 +513,27 @@ protected:
FunctionType output_stage;
output_stage.configure(&a, add_bias ? &b : nullptr, &c, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max);
- ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(c.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(a.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(c.info()->is_resizable());
// Allocate tensors
a.allocator()->allocate();
c.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!a.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!c.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!a.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!c.info()->is_resizable());
// Fill tensor
fill(AccessorType(a), 0);
if(add_bias)
{
- ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(b.info()->is_resizable());
// Allocate bias tensor
b.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!b.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!b.info()->is_resizable());
// Fill tensor
fill(AccessorType(b), 1);
@@ -608,27 +608,27 @@ protected:
FunctionType output_stage;
output_stage.configure(&a, add_bias ? &b : nullptr, &c, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max);
- ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(c.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(a.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(c.info()->is_resizable());
// Allocate tensors
a.allocator()->allocate();
c.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!a.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!c.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!a.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!c.info()->is_resizable());
// Fill tensor
fill(AccessorType(a), 0);
if(add_bias)
{
- ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(b.info()->is_resizable());
// Allocate bias tensor
b.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!b.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!b.info()->is_resizable());
// Fill tensor
fill(AccessorType(b), 1);
@@ -713,27 +713,27 @@ protected:
FunctionType output_stage;
output_stage.configure(&a, add_bias ? &b : nullptr, &c, info);
- ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(c.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(a.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(c.info()->is_resizable());
// Allocate tensors
a.allocator()->allocate();
c.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!a.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!c.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!a.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!c.info()->is_resizable());
// Fill tensor
fill(AccessorType(a), 0);
if(add_bias)
{
- ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(b.info()->is_resizable());
// Allocate bias tensor
b.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!b.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!b.info()->is_resizable());
// Fill tensor
fill(AccessorType(b), 1);
@@ -806,27 +806,27 @@ protected:
FunctionType output_stage;
output_stage.configure(&a, add_bias ? &b : nullptr, &c, result_fixedpoint_multiplier, result_shift, min, max);
- ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(c.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(a.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(c.info()->is_resizable());
// Allocate tensors
a.allocator()->allocate();
c.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!a.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!c.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!a.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!c.info()->is_resizable());
// Fill tensor
fill(AccessorType(a), 0);
if(add_bias)
{
- ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(b.info()->is_resizable());
// Allocate bias tensor
b.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!b.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!b.info()->is_resizable());
// Fill tensor
fill(AccessorType(b), 1);
@@ -946,8 +946,8 @@ protected:
reshape_rhs.configure(&rhs, &rhs_reshaped, rhs_info);
gemm.configure(&lhs_reshaped, &rhs_reshaped, &dst, lhs_info, rhs_info, GEMMReshapeInfo(M, N, K));
- ARM_COMPUTE_EXPECT(lhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(rhs.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(lhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(rhs.info()->is_resizable());
add_padding_x({ &lhs, &rhs, &lhs_reshaped, &rhs_reshaped, &dst });
@@ -958,11 +958,11 @@ protected:
rhs_reshaped.allocator()->allocate();
dst.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!lhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!rhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!lhs_reshaped.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!rhs_reshaped.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!lhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!rhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!lhs_reshaped.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!rhs_reshaped.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
// Fill tensors
fill(AccessorType(lhs), 0);
@@ -1098,8 +1098,8 @@ protected:
reshape_rhs.configure(&rhs, &rhs_reshaped, rhs_info);
gemm.configure(&lhs_reshaped, &rhs_reshaped, &dst, lhs_info, rhs_info, GEMMReshapeInfo(M, N, K, 1, 1, m_h));
- ARM_COMPUTE_EXPECT(lhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(rhs.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(lhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(rhs.info()->is_resizable());
add_padding_x({ &lhs, &rhs, &lhs_reshaped, &rhs_reshaped, &dst });
@@ -1110,11 +1110,11 @@ protected:
rhs_reshaped.allocator()->allocate();
dst.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!lhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!rhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!lhs_reshaped.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!rhs_reshaped.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!lhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!rhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!lhs_reshaped.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!rhs_reshaped.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
// Fill tensors
fill(AccessorType(lhs), 0);
@@ -1249,8 +1249,8 @@ protected:
reshape_rhs.configure(&rhs, &rhs_reshaped, rhs_info);
gemm.configure(&lhs, &rhs_reshaped, &dst, gemm_info);
- ARM_COMPUTE_EXPECT(lhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(rhs.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(lhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(rhs.info()->is_resizable());
add_padding_x({ &lhs, &rhs, &rhs_reshaped, &dst });
@@ -1260,10 +1260,10 @@ protected:
rhs_reshaped.allocator()->allocate();
dst.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!lhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!rhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!rhs_reshaped.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!lhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!rhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!rhs_reshaped.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
// Fill tensors
fill(AccessorType(lhs), 0);
@@ -1394,8 +1394,8 @@ protected:
reshape_rhs.configure(&rhs, &rhs_reshaped, rhs_info);
gemm.configure(&lhs, &rhs_reshaped, &dst, gemm_info);
- ARM_COMPUTE_EXPECT(lhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(rhs.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(lhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(rhs.info()->is_resizable());
add_padding_x({ &lhs, &rhs, &rhs_reshaped, &dst });
@@ -1405,10 +1405,10 @@ protected:
rhs_reshaped.allocator()->allocate();
dst.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!lhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!rhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!rhs_reshaped.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!lhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!rhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!rhs_reshaped.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
// Fill tensors
fill(AccessorType(lhs), 0);
@@ -1508,8 +1508,8 @@ protected:
GEMMFunctionType gemm;
gemm.configure(&lhs, &rhs, &dst, lhs_info, rhs_info, GEMMReshapeInfo(M, N, K));
- ARM_COMPUTE_EXPECT(lhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(rhs.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(lhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(rhs.info()->is_resizable());
add_padding_x({ &lhs, &rhs, &dst });
@@ -1518,9 +1518,9 @@ protected:
rhs.allocator()->allocate();
dst.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!lhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!rhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!lhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!rhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
// Fill tensors
fill(AccessorType(lhs), 0);
@@ -1605,8 +1605,8 @@ protected:
GEMMFunctionType gemm;
gemm.configure(&lhs, &rhs, &dst, lhs_info, rhs_info, GEMMReshapeInfo(M, N, K, 1, 1, m_h));
- ARM_COMPUTE_EXPECT(lhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(rhs.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(lhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(rhs.info()->is_resizable());
add_padding_x({ &lhs, &rhs, &dst });
@@ -1615,9 +1615,9 @@ protected:
rhs.allocator()->allocate();
dst.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!lhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!rhs.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!lhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!rhs.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
// Fill tensors
fill(AccessorType(lhs), 0);
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-06 20:28:29 +0000