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authorFreddie Liardet <frederick.liardet@arm.com>2021-10-22 11:05:14 +0100
committerSheri Zhang <sheri.zhang@arm.com>2021-10-22 12:46:33 +0000
commit00ff6641b70382a7882b8a04fe67fb4a93ee5675 (patch)
treec3eff96e6ae103b640d0d58935ee8216b4ce7c50
parent5601eb1b38a01424578876b466a0a11d44ca40f1 (diff)
downloadComputeLibrary-00ff6641b70382a7882b8a04fe67fb4a93ee5675.tar.gz
Remove large conv3d tests
Signed-off-by: Freddie Liardet <frederick.liardet@arm.com> Change-Id: I27ea2e96a2360bf9a77556b8c0171ce7666fc49f Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6496 Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Michele Di Giorgio <michele.digiorgio@arm.com>
-rw-r--r--tests/validation/CL/Convolution3D.cpp90
1 files changed, 0 insertions, 90 deletions
diff --git a/tests/validation/CL/Convolution3D.cpp b/tests/validation/CL/Convolution3D.cpp
index f7bb5c0894..2d1dc574f8 100644
--- a/tests/validation/CL/Convolution3D.cpp
+++ b/tests/validation/CL/Convolution3D.cpp
@@ -196,27 +196,6 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolution3DFixture<half>, framework::
validate(CLAccessor(_target), _reference, tolerance_fp16, tolerance_num);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolution3DFixture<half>, framework::DatasetMode::NIGHTLY,
- combine(combine(combine(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(
- framework::dataset::make("InputShape", { TensorShape(100U, 100U, 100U, 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", { 5 })),
- framework::dataset::make("KernelHeight", { 5 })),
- framework::dataset::make("KernelDepth", { 5 })),
- framework::dataset::make("NumKernels", { 100 })),
- framework::dataset::make("HasBias", { true })),
- framework::dataset::make("Activation", ActivationLayerInfo())),
- framework::dataset::make("DataType", DataType::F16)),
- framework::dataset::make("DataLayout", DataLayout::NDHWC)))
-{
- validate(CLAccessor(_target), _reference, tolerance_fp16, tolerance_num);
-}
-
TEST_SUITE_END() // FP16
TEST_SUITE(FP32)
@@ -245,27 +224,6 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolution3DFixture<float>, framework:
validate(CLAccessor(_target), _reference, tolerance_fp32, 0.0, abs_tolerance_f32);
}
-FIXTURE_DATA_TEST_CASE(RunLarge, CLDirectConvolution3DFixture<float>, framework::DatasetMode::NIGHTLY,
- combine(combine(combine(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(zip(
- framework::dataset::make("InputShape", { TensorShape(100U, 100U, 100U, 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", { 100 })),
- framework::dataset::make("HasBias", { true })),
- framework::dataset::make("Activation", ActivationLayerInfo())),
- framework::dataset::make("DataType", DataType::F32)),
- framework::dataset::make("DataLayout", DataLayout::NDHWC)))
-{
- validate(CLAccessor(_target), _reference, tolerance_fp32, 0.0, abs_tolerance_f32);
-}
-
// clang-format on
// *INDENT-ON*
TEST_SUITE_END() // FP32
@@ -299,30 +257,6 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolution3DQuantizedFixture<uint8_t>,
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(100U, 100U, 100U, 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", { 100 })),
- 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)
@@ -354,30 +288,6 @@ FIXTURE_DATA_TEST_CASE(RunSmall, CLDirectConvolution3DQuantizedFixture<int8_t>,
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(100U, 100U, 100U, 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", { 100 })),
- 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