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Diffstat (limited to 'tests/validation/NEON/Convolution.cpp')
-rw-r--r--tests/validation/NEON/Convolution.cpp12
1 files changed, 6 insertions, 6 deletions
diff --git a/tests/validation/NEON/Convolution.cpp b/tests/validation/NEON/Convolution.cpp
index 32df51abba..5545b7f574 100644
--- a/tests/validation/NEON/Convolution.cpp
+++ b/tests/validation/NEON/Convolution.cpp
@@ -66,7 +66,7 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combi
Tensor dst = create_tensor<Tensor>(shape, output_data_type);
// Create conv matrix
- int16_t conv[9];
+ int16_t conv[9] = {};
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
@@ -150,7 +150,7 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combi
Tensor dst = create_tensor<Tensor>(shape, output_data_type);
// Create conv matrix
- int16_t conv[25];
+ int16_t conv[25] = {};
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
@@ -234,7 +234,7 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combi
Tensor dst = create_tensor<Tensor>(shape, output_data_type);
// Create conv matrix
- int16_t conv[49];
+ int16_t conv[49] = {};
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
@@ -318,7 +318,7 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combi
Tensor dst = create_tensor<Tensor>(shape, output_data_type);
// Create conv matrix
- int16_t conv[81];
+ int16_t conv[81] = {};
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
@@ -404,14 +404,14 @@ shape, output_data_type, border_mode, filter_width, filter_height)
Tensor dst = create_tensor<Tensor>(shape, output_data_type);
// Create conv matrix
- int16_t conv[filter_width * filter_height];
+ std::vector<int16_t> conv(filter_height * filter_width);
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Create and configure function
NEConvolutionRectangle convolution;
- convolution.configure(&src, &dst, conv, filter_width, filter_height, 1, border_mode);
+ convolution.configure(&src, &dst, conv.data(), filter_width, filter_height, 1, border_mode);
// Validate valid region
const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_height / 2, filter_width / 2));