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Diffstat (limited to 'tests/validation/fixtures/UNIT/DynamicTensorFixture.h')
-rw-r--r--tests/validation/fixtures/UNIT/DynamicTensorFixture.h29
1 files changed, 13 insertions, 16 deletions
diff --git a/tests/validation/fixtures/UNIT/DynamicTensorFixture.h b/tests/validation/fixtures/UNIT/DynamicTensorFixture.h
index c3aa63b31b..3e96dcbf2d 100644
--- a/tests/validation/fixtures/UNIT/DynamicTensorFixture.h
+++ b/tests/validation/fixtures/UNIT/DynamicTensorFixture.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021, 2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -74,14 +74,14 @@ public:
void validate(bool validate_finalized) const
{
- ARM_COMPUTE_EXPECT(mm->pool_manager() != nullptr, framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(mm->lifetime_manager() != nullptr, framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(mm->pool_manager() != nullptr);
+ ARM_COMPUTE_ASSERT(mm->lifetime_manager() != nullptr);
if(validate_finalized)
{
- ARM_COMPUTE_EXPECT(mm->lifetime_manager()->are_all_finalized(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(mm->lifetime_manager()->are_all_finalized());
}
- ARM_COMPUTE_EXPECT(mm->pool_manager()->num_pools() == num_pools, framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(mm->pool_manager()->num_pools() == num_pools);
}
AllocatorType allocator;
@@ -127,7 +127,6 @@ class DynamicTensorType3SingleFunction : public framework::Fixture
using T = float;
public:
- template <typename...>
void setup(TensorShape input_level0, TensorShape input_level1)
{
input_l0 = input_level0;
@@ -159,15 +158,15 @@ protected:
SimpleFunctionWrapperType layer(serv_internal.mm);
layer.configure(&src, &dst);
- ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(src.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
// Allocate tensors
src.allocator()->allocate();
dst.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
// Populate and validate memory manager
serv_cross.populate(num_pools);
@@ -251,7 +250,6 @@ class DynamicTensorType3ComplexFunction : public framework::Fixture
using T = float;
public:
- template <typename...>
void setup(std::vector<TensorShape> input_shapes, TensorShape weights_shape, TensorShape bias_shape, std::vector<TensorShape> output_shapes, PadStrideInfo info)
{
num_iterations = input_shapes.size();
@@ -313,8 +311,8 @@ protected:
// Create and configure function
_f_target->configure(&src, &_weights_target, &_bias_target, &dst, info, weights_info);
- ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(src.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
// Allocate tensors
src.allocator()->allocate();
@@ -322,8 +320,8 @@ protected:
_weights_target.allocator()->allocate();
_bias_target.allocator()->allocate();
- ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
+ ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
// Fill tensors
fill(AccessorType(src), 0);
@@ -390,7 +388,6 @@ class DynamicTensorType2PipelineFunction : public framework::Fixture
using T = float;
public:
- template <typename...>
void setup(std::vector<TensorShape> input_shapes)
{
_data_type = DataType::F32;