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Diffstat (limited to 'tests/validation/NEON/DeconvolutionLayer.cpp')
-rw-r--r--tests/validation/NEON/DeconvolutionLayer.cpp109
1 files changed, 62 insertions, 47 deletions
diff --git a/tests/validation/NEON/DeconvolutionLayer.cpp b/tests/validation/NEON/DeconvolutionLayer.cpp
index 89f9d98ed5..38256eb2ad 100644
--- a/tests/validation/NEON/DeconvolutionLayer.cpp
+++ b/tests/validation/NEON/DeconvolutionLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -43,8 +43,8 @@ namespace validation
{
namespace
{
-constexpr AbsoluteTolerance<float> tolerance_fp32(0.001f); /**< Tolerance for floating point tests */
-constexpr AbsoluteTolerance<float> tolerance_qasymm8(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */
+constexpr AbsoluteTolerance<float> tolerance_fp32(0.001f); /**< Tolerance for floating point tests */
+constexpr AbsoluteTolerance<float> tolerance_quantized(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
const RelativeTolerance<half_float::half> tolerance_fp16(half_float::half(0.2f)); /**< Relative tolerance value for comparing reference's output against implementation's output for DataType::F16 */
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC*/
@@ -85,46 +85,6 @@ const auto output_qinfo_dataset = framework::dataset::make("OutputQInfo",
TEST_SUITE(NEON)
TEST_SUITE(DeconvolutionLayer)
-DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, (combine(datasets::SmallDeconvolutionShapes(), framework::dataset::make("DataType", DataType::F32))),
- input_shape, data_type)
-{
- // Create shapes
- const unsigned int kernel_size_x = 3;
- const unsigned int kernel_size_y = 3;
- const unsigned int num_kernels = 1;
- const TensorShape weights_shape(kernel_size_x, kernel_size_y, input_shape.z(), num_kernels);
- const TensorShape bias_shape(num_kernels);
- const PadStrideInfo info(1, 1, 1, 1);
- auto out_dim = deconvolution_output_dimensions(input_shape.x(), input_shape.y(), kernel_size_x, kernel_size_y, info);
- TensorShape output_shape = compute_deconvolution_output_shape(out_dim, TensorInfo(input_shape, 1, data_type), TensorInfo(weights_shape, 1, data_type));
-
- // Create tensors
- Tensor src = create_tensor<Tensor>(input_shape, data_type, 1);
- Tensor weights = create_tensor<Tensor>(weights_shape, data_type, 1);
- Tensor bias = create_tensor<Tensor>(bias_shape, data_type, 1);
- Tensor dst = create_tensor<Tensor>(output_shape, data_type, 1);
-
- ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS);
- ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
- // Create and configure function
- NEDeconvolutionLayer deconv;
- deconv.configure(&src, &weights, &bias, &dst, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL));
-
- // Validate valid region
- const ValidRegion src_valid_region = shape_to_valid_region(input_shape);
- const ValidRegion weights_valid_region = shape_to_valid_region(weights_shape);
- const ValidRegion bias_valid_region = shape_to_valid_region(bias_shape);
- const ValidRegion dst_valid_region = shape_to_valid_region(output_shape);
-
- validate(src.info()->valid_region(), src_valid_region);
- validate(weights.info()->valid_region(), weights_valid_region);
- validate(bias.info()->valid_region(), bias_valid_region);
- validate(dst.info()->valid_region(), dst_valid_region);
-}
-
// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(
@@ -294,7 +254,7 @@ FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedFixture4x4<uint8_t>, fr
add_bias_dataset))
{
// Validate output
- validate(Accessor(_target), _reference, tolerance_qasymm8, tolerance_num);
+ validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num);
}
TEST_SUITE_END() // W4x4
@@ -308,7 +268,7 @@ FIXTURE_DATA_TEST_CASE(RunSmall, NEDeconvolutionLayerQuantizedFixture3x3<uint8_t
add_bias_dataset))
{
// Validate output
- validate(Accessor(_target), _reference, tolerance_qasymm8, tolerance_num);
+ validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(data3x3,
framework::dataset::make("DataType",
@@ -319,7 +279,7 @@ FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerQuantizedFixture3x3<uint8_t
add_bias_dataset))
{
// Validate output
- validate(Accessor(_target), _reference, tolerance_qasymm8, tolerance_num);
+ validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num);
}
TEST_SUITE_END() // W3x3
@@ -332,11 +292,66 @@ FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedFixture1x1<uint8_t>, fr
add_bias_dataset))
{
// Validate output
- validate(Accessor(_target), _reference, tolerance_qasymm8, tolerance_num);
+ validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num);
}
TEST_SUITE_END() // W1x1
TEST_SUITE_END() // QASYMM8
+
+TEST_SUITE(QASYMM8_SIGNED)
+
+TEST_SUITE(W4x4)
+FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedFixture4x4<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(data4x4, framework::dataset::make("DataType",
+ DataType::QASYMM8_SIGNED)),
+ data_layouts_dataset),
+ input_qinfo_dataset),
+ output_qinfo_dataset),
+ add_bias_dataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num);
+}
+TEST_SUITE_END() // W4x4
+
+TEST_SUITE(W3x3)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDeconvolutionLayerQuantizedFixture3x3<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(data3x3_precommit,
+ framework::dataset::make("DataType",
+ DataType::QASYMM8_SIGNED)),
+ data_layouts_dataset),
+ input_qinfo_dataset),
+ output_qinfo_dataset),
+ add_bias_dataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDeconvolutionLayerQuantizedFixture3x3<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(data3x3,
+ framework::dataset::make("DataType",
+ DataType::QASYMM8_SIGNED)),
+ data_layouts_dataset),
+ input_qinfo_dataset),
+ output_qinfo_dataset),
+ add_bias_dataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num);
+}
+TEST_SUITE_END() // W3x3
+
+TEST_SUITE(W1x1)
+FIXTURE_DATA_TEST_CASE(Run, NEDeconvolutionLayerQuantizedFixture1x1<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(data1x1, framework::dataset::make("DataType",
+ DataType::QASYMM8_SIGNED)),
+ data_layouts_dataset),
+ input_qinfo_dataset),
+ output_qinfo_dataset),
+ add_bias_dataset))
+{
+ // Validate output
+ validate(Accessor(_target), _reference, tolerance_quantized, tolerance_num);
+}
+TEST_SUITE_END() // W1x1
+
+TEST_SUITE_END() // QASYMM8_SIGNED
TEST_SUITE_END() // Quantized
TEST_SUITE_END() // DeconvolutionLayer
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-20 14:35:46 +0000