diff options
Diffstat (limited to 'tests/validation/NEON/Convolution.cpp')
| -rw-r--r-- | tests/validation/NEON/Convolution.cpp | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/tests/validation/NEON/Convolution.cpp b/tests/validation/NEON/Convolution.cpp index 3a9f29c8d0..b942ddc408 100644 --- a/tests/validation/NEON/Convolution.cpp +++ b/tests/validation/NEON/Convolution.cpp @@ -66,14 +66,14 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(c Tensor dst = create_tensor<Tensor>(shape, output_data_type); // Create conv matrix - int16_t conv[9] = {}; + std::array<int16_t, 9> conv = { 0 }; ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); // Create and configure function NEConvolution3x3 convolution; - convolution.configure(&src, &dst, conv, 0, border_mode); + convolution.configure(&src, &dst, conv.data(), 0, border_mode); // Validate valid region const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2)); @@ -134,14 +134,14 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(c Tensor dst = create_tensor<Tensor>(shape, output_data_type); // Create conv matrix - int16_t conv[25] = {}; + std::array<int16_t, 25> conv = { 0 }; ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); // Create and configure function NEConvolution5x5 convolution; - convolution.configure(&src, &dst, conv, 0, border_mode); + convolution.configure(&src, &dst, conv.data(), 0, border_mode); // Validate valid region const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2)); @@ -202,14 +202,14 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(c Tensor dst = create_tensor<Tensor>(shape, output_data_type); // Create conv matrix - int16_t conv[49] = {}; + std::array<int16_t, 49> conv = { 0 }; ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); // Create and configure function NEConvolution7x7 convolution; - convolution.configure(&src, &dst, conv, 0, border_mode); + convolution.configure(&src, &dst, conv.data(), 0, border_mode); // Validate valid region const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2)); @@ -270,14 +270,14 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(c Tensor dst = create_tensor<Tensor>(shape, output_data_type); // Create conv matrix - int16_t conv[81] = {}; + std::array<int16_t, 81> conv = { 0 }; ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); // Create and configure function NEConvolution9x9 convolution; - convolution.configure(&src, &dst, conv, 0, border_mode); + convolution.configure(&src, &dst, conv.data(), 0, border_mode); // Validate valid region const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2)); |