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-rw-r--r--tests/validation/CL/Convolution3D.cpp122
1 files changed, 118 insertions, 4 deletions
diff --git a/tests/validation/CL/Convolution3D.cpp b/tests/validation/CL/Convolution3D.cpp
index 75e2e99b03..381aacc465 100644
--- a/tests/validation/CL/Convolution3D.cpp
+++ b/tests/validation/CL/Convolution3D.cpp
@@ -38,10 +38,11 @@ namespace validation
{
namespace
{
-RelativeTolerance<half> tolerance_fp16(half(0.2)); /**< Tolerance for floating point tests */
-RelativeTolerance<float> tolerance_fp32(0.05f); /**< Tolerance for floating point tests */
-constexpr float abs_tolerance_f32(0.0001f); /**< Absolute tolerance for FP32 tests*/
-constexpr float tolerance_num = 0.07f; /**< Tolerance number */
+RelativeTolerance<half> tolerance_fp16(half(0.2)); /**< Tolerance for floating point tests */
+RelativeTolerance<float> tolerance_fp32(0.05f); /**< Tolerance for floating point tests */
+constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance for quantized tests */
+constexpr float abs_tolerance_f32(0.0001f); /**< Absolute tolerance for FP32 tests*/
+constexpr float tolerance_num = 0.07f; /**< Tolerance number */
} // namespace
TEST_SUITE(CL)
@@ -165,6 +166,8 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
template <typename T>
using CLDirectConvolution3DFixture = DirectConvolution3DValidationFixture<CLTensor, CLAccessor, CLConv3D, T>;
+template <typename T>
+using CLDirectConvolution3DQuantizedFixture = DirectConvolution3DValidationQuantizedFixture<CLTensor, CLAccessor, CLConv3D, T>;
TEST_SUITE(NDHWC)
TEST_SUITE(FP16)
@@ -266,6 +269,117 @@ FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolution3DFixture<float>, framework:
// clang-format on
// *INDENT-ON*
TEST_SUITE_END() // FP32
+
+TEST_SUITE(QASYMM8)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolution3DQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
+ combine(combine(combine(combine(combine(combine(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(
+ framework::dataset::make("InputShape", { TensorShape(7U, 5U, 3U, 13U, 3U),
+ TensorShape(15U, 7U, 11U, 7U),
+ TensorShape(19U, 5U, 16U, 4U),
+ TensorShape(13U, 5U, 17U, 2U)
+ }),
+ framework::dataset::make("StrideX", { 1, 3, 2, 1 })),
+ framework::dataset::make("StrideY", { 2, 1, 3, 1 })),
+ framework::dataset::make("StrideZ", { 3, 2, 1, 1 })),
+ framework::dataset::make("PadX", { 0, 2, 1, 0 })),
+ framework::dataset::make("PadY", { 1, 0, 2, 0 })),
+ framework::dataset::make("PadZ", { 2, 1, 0, 0 })),
+ framework::dataset::make("KernelWidth", { 3, 7, 5, 1 })),
+ framework::dataset::make("KernelHeight", { 5, 3, 7, 1 })),
+ framework::dataset::make("KernelDepth", { 7, 5, 3, 1 })),
+ framework::dataset::make("NumKernels", { 5, 3, 1, 11 })),
+ framework::dataset::make("HasBias", { true, true, true, false })),
+ framework::dataset::make("Activation", ActivationLayerInfo())),
+ framework::dataset::make("DataType", DataType::QASYMM8)),
+ framework::dataset::make("DataLayout", DataLayout::NDHWC)),
+ framework::dataset::make("SrcQuantizationInfo", QuantizationInfo(0.1f, 10))),
+ framework::dataset::make("WeightsQuantizationInfo", QuantizationInfo(0.3f, 20))),
+ framework::dataset::make("DstQuantizationInfo", QuantizationInfo(0.2f, 5))))
+{
+ validate(CLAccessor(_target), _reference, tolerance_qasymm8);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolution3DQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
+ combine(combine(combine(combine(combine(combine(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(
+ framework::dataset::make("InputShape", { TensorShape(400U, 400U, 200U, 11U) }),
+ framework::dataset::make("StrideX", { 1 })),
+ framework::dataset::make("StrideY", { 1 })),
+ framework::dataset::make("StrideZ", { 1 })),
+ framework::dataset::make("PadX", { 1 })),
+ framework::dataset::make("PadY", { 1 })),
+ framework::dataset::make("PadZ", { 1 })),
+ framework::dataset::make("KernelWidth", { 9 })),
+ framework::dataset::make("KernelHeight", { 9 })),
+ framework::dataset::make("KernelDepth", { 9 })),
+ framework::dataset::make("NumKernels", { 300 })),
+ framework::dataset::make("HasBias", { true })),
+ framework::dataset::make("Activation", ActivationLayerInfo())),
+ framework::dataset::make("DataType", DataType::QASYMM8)),
+ framework::dataset::make("DataLayout", DataLayout::NDHWC)),
+ framework::dataset::make("SrcQuantizationInfo", QuantizationInfo(0.1f, 10))),
+ framework::dataset::make("WeightsQuantizationInfo", QuantizationInfo(0.3f, 20))),
+ framework::dataset::make("DstQuantizationInfo", QuantizationInfo(0.2f, 5))))
+{
+ validate(CLAccessor(_target), _reference, tolerance_qasymm8);
+}
+
+TEST_SUITE_END() // QASYMM8
+
+TEST_SUITE(QASYMM8_SIGNED)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolution3DQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT,
+ combine(combine(combine(combine(combine(combine(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(
+ framework::dataset::make("InputShape", { TensorShape(7U, 5U, 3U, 13U, 3U),
+ TensorShape(15U, 7U, 11U, 7U),
+ TensorShape(19U, 5U, 16U, 4U),
+ TensorShape(13U, 5U, 17U, 2U)
+ }),
+ framework::dataset::make("StrideX", { 1, 3, 2, 1 })),
+ framework::dataset::make("StrideY", { 2, 1, 3, 1 })),
+ framework::dataset::make("StrideZ", { 3, 2, 1, 1 })),
+ framework::dataset::make("PadX", { 0, 2, 1, 0 })),
+ framework::dataset::make("PadY", { 1, 0, 2, 0 })),
+ framework::dataset::make("PadZ", { 2, 1, 0, 0 })),
+ framework::dataset::make("KernelWidth", { 3, 7, 5, 1 })),
+ framework::dataset::make("KernelHeight", { 5, 3, 7, 1 })),
+ framework::dataset::make("KernelDepth", { 7, 5, 3, 1 })),
+ framework::dataset::make("NumKernels", { 5, 3, 1, 11 })),
+ framework::dataset::make("HasBias", { true, true, true, false })),
+ framework::dataset::make("Activation", ActivationLayerInfo())),
+ framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
+ framework::dataset::make("DataLayout", DataLayout::NDHWC)),
+ framework::dataset::make("SrcQuantizationInfo", QuantizationInfo(0.1f, 10))),
+ framework::dataset::make("WeightsQuantizationInfo", QuantizationInfo(0.3f, 20))),
+ framework::dataset::make("DstQuantizationInfo", QuantizationInfo(0.2f, 5))))
+{
+ validate(CLAccessor(_target), _reference, tolerance_qasymm8);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolution3DQuantizedFixture<int8_t>, framework::DatasetMode::NIGHTLY,
+ combine(combine(combine(combine(combine(combine(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(
+ framework::dataset::make("InputShape", { TensorShape(400U, 400U, 200U, 11U) }),
+ framework::dataset::make("StrideX", { 1 })),
+ framework::dataset::make("StrideY", { 1 })),
+ framework::dataset::make("StrideZ", { 1 })),
+ framework::dataset::make("PadX", { 1 })),
+ framework::dataset::make("PadY", { 1 })),
+ framework::dataset::make("PadZ", { 1 })),
+ framework::dataset::make("KernelWidth", { 9 })),
+ framework::dataset::make("KernelHeight", { 9 })),
+ framework::dataset::make("KernelDepth", { 9 })),
+ framework::dataset::make("NumKernels", { 300 })),
+ framework::dataset::make("HasBias", { true })),
+ framework::dataset::make("Activation", ActivationLayerInfo())),
+ framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
+ framework::dataset::make("DataLayout", DataLayout::NDHWC)),
+ framework::dataset::make("SrcQuantizationInfo", QuantizationInfo(0.1f, 10))),
+ framework::dataset::make("WeightsQuantizationInfo", QuantizationInfo(0.3f, 20))),
+ framework::dataset::make("DstQuantizationInfo", QuantizationInfo(0.2f, 5))))
+{
+ validate(CLAccessor(_target), _reference, tolerance_qasymm8);
+}
+
+TEST_SUITE_END() // QASYMM8_SIGNED
+
TEST_SUITE_END() // NDHWC
TEST_SUITE_END() // DirectConvolution3D
TEST_SUITE_END() // CL
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-23 10:08:58 +0000