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| author | Michalis Spyrou <michalis.spyrou@arm.com> | 2019-05-01 13:03:59 +0100 |
|---|---|---|
| committer | Michalis Spyrou <michalis.spyrou@arm.com> | 2019-05-07 15:35:57 +0000 |
| commit | 299fdd31bd8e1add3ac557a5e630de55b1b6659c (patch) | |
| tree | a2ecde5f639d10789fed84ee9cc300abf4b6e03a /tests | |
| parent | dc5d34319a673f6cbcd346a0c7046fb7fd0106ec (diff) | |
| download | ComputeLibrary-299fdd31bd8e1add3ac557a5e630de55b1b6659c.tar.gz | |
COMPMID-2177 Fix clang warnings
Change-Id: I4beacfd714ee3ed771fd174cce5d8009a2961380
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1065
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests')
| -rw-r--r-- | tests/validate_examples/graph_fully_connected.cpp | 1 | ||||
| -rw-r--r-- | tests/validation/NEON/Convolution.cpp | 16 |
2 files changed, 9 insertions, 8 deletions
diff --git a/tests/validate_examples/graph_fully_connected.cpp b/tests/validate_examples/graph_fully_connected.cpp index 085518c865..dfa15edd6d 100644 --- a/tests/validate_examples/graph_fully_connected.cpp +++ b/tests/validate_examples/graph_fully_connected.cpp @@ -142,6 +142,7 @@ public: /** Default destructor */ ~FullyConnectedOptions() override = default; +private: SimpleOption<int> *width; /**< Input width */ SimpleOption<int> *batch; /**< Input batch */ SimpleOption<float> *input_scale; /**< Input Quantization scale from QASSYMM8 */ 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)); |