Optimize CLDeconvolutionLayer tests
Resolves: COMPMID-6466
Change-Id: I916871c9d7880107985337782e2cfd280a62cdeb
Signed-off-by: Gunes Bayir <gunes.bayir@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10458
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Jakub Sujak <jakub.sujak@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
diff --git a/tests/validation/CL/DeconvolutionLayer.cpp b/tests/validation/CL/DeconvolutionLayer.cpp
index 6b12fc0..d1508fd 100644
--- a/tests/validation/CL/DeconvolutionLayer.cpp
+++ b/tests/validation/CL/DeconvolutionLayer.cpp
@@ -53,35 +53,29 @@
*framework::dataset::make("PadLeft", 3)
*framework::dataset::make("PadRight", 4) *framework::dataset::make("PadTop", 3) *framework::dataset::make("PadBottom", 4) *framework::dataset::make("NumKernels", { 1 });
-const auto data9x9_large_asymm = framework::dataset::make("InputShape", TensorShape{ 640U, 360U, 56U, 1U }) *framework::dataset::make("StrideX", 2) *framework::dataset::make("StrideY",
- 2)
- *framework::dataset::make("PadLeft", 3)
- *framework::dataset::make("PadRight", 4) *framework::dataset::make("PadTop", 3) *framework::dataset::make("PadBottom", 4) *framework::dataset::make("NumKernels", { 1 });
-
-const auto data4x4 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * framework::dataset::make("PadX", 0, 3)
- * framework::dataset::make("PadY", 0, 3) * framework::dataset::make("NumKernels", { 3 });
-
-const auto data3x3 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * framework::dataset::make("PadX", 0, 2)
+const auto data4x4 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4, 2) * framework::dataset::make("StrideY", 2, 4) * framework::dataset::make("PadX", 1, 3)
* framework::dataset::make("PadY", 0, 2) * framework::dataset::make("NumKernels", { 3 });
+const auto data3x3 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 2, 4) * framework::dataset::make("StrideY", 1, 4, 2) * framework::dataset::make("PadX", 1, 2)
+ * framework::dataset::make("PadY", 1, 3) * framework::dataset::make("NumKernels", { 3 });
+
const auto data3x3_asymm = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 2) * framework::dataset::make("StrideY", 1, 2) * framework::dataset::make("PadLeft", 0, 1)
* framework::dataset::make("PadRight", 0, 1) * framework::dataset::make("PadTop", 0, 1) * framework::dataset::make("PadBottom", 0, 1) * framework::dataset::make("NumKernels", { 3 });
const auto data3x3_precommit = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 2) * framework::dataset::make("StrideY", 1, 2) * framework::dataset::make("PadX", 0, 2)
* framework::dataset::make("PadY", 0, 2) * framework::dataset::make("NumKernels", { 3 });
-const auto data3x3_precommit_large_channels = datasets::SmallDeconvolutionShapesWithLargerChannels() * framework::dataset::make("StrideX", 2) * framework::dataset::make("StrideY",
- 2)
+const auto data3x3_precommit_large_channels = datasets::SmallDeconvolutionShapesWithLargerChannels() * framework::dataset::make("StrideX", 2) * framework::dataset::make("StrideY", 2)
* framework::dataset::make("PadX", 1)
* framework::dataset::make("PadY", 2) * framework::dataset::make("NumKernels", { 5 });
const auto data2x2_precommit = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 2) * framework::dataset::make("StrideY", 2) * framework::dataset::make("PadX", 1)
* framework::dataset::make("PadY", 1) * framework::dataset::make("NumKernels", { 3 });
-const auto data1x1 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * framework::dataset::make("PadX", 0, 1)
+const auto data1x1 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4, 2) * framework::dataset::make("StrideY", 2, 4) * framework::dataset::make("PadX", 0, 1)
* framework::dataset::make("PadY", 0, 1) * framework::dataset::make("NumKernels", { 3 });
-const auto data5x1 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * framework::dataset::make("PadX", 0, 1)
+const auto data5x1 = datasets::SmallDeconvolutionShapes() * framework::dataset::make("StrideX", 2, 4) * framework::dataset::make("StrideY", 1, 4, 2) * framework::dataset::make("PadX", 0, 1)
* framework::dataset::make("PadY", 0, 1) * framework::dataset::make("NumKernels", { 3 });
const auto data_layouts_dataset = framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC });
@@ -233,8 +227,8 @@
validate(CLAccessor(_target), _reference, tolerance_fp32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerFixture3x3<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data3x3, framework::dataset::make("DataType", DataType::F32)),
- data_layouts_dataset),
- add_bias_dataset))
+ framework::dataset::make("DataLayout", { DataLayout::NHWC })),
+ framework::dataset::make("AddBias", { true })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp32);
@@ -255,7 +249,7 @@
TEST_SUITE(W1x1)
FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture1x1<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data1x1, framework::dataset::make("DataType", DataType::F32)),
data_layouts_dataset),
- add_bias_dataset))
+ framework::dataset::make("AddBias", { true })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp32);
@@ -275,7 +269,7 @@
TEST_SUITE(W5x1)
FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture5x1<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data5x1, framework::dataset::make("DataType", DataType::F32)),
data_layouts_dataset),
- add_bias_dataset))
+ framework::dataset::make("AddBias", { true })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_fp32);
@@ -289,7 +283,7 @@
TEST_SUITE(W4x4)
FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture4x4<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data4x4, framework::dataset::make("DataType", DataType::F16)),
data_layouts_dataset),
- add_bias_dataset))
+ framework::dataset::make("AddBias", { true })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
@@ -306,8 +300,8 @@
validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerFixture3x3<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data3x3, framework::dataset::make("DataType", DataType::F16)),
- data_layouts_dataset),
- add_bias_dataset))
+ framework::dataset::make("DataLayout", { DataLayout::NHWC })),
+ framework::dataset::make("AddBias", { true })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
@@ -328,7 +322,7 @@
TEST_SUITE(W1x1)
FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture1x1<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data1x1, framework::dataset::make("DataType", DataType::F16)),
data_layouts_dataset),
- add_bias_dataset))
+ framework::dataset::make("AddBias", { true })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
@@ -338,7 +332,7 @@
TEST_SUITE(W5x1)
FIXTURE_DATA_TEST_CASE(Run, CLDeconvolutionLayerFixture5x1<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(data5x1, framework::dataset::make("DataType", DataType::F16)),
data_layouts_dataset),
- add_bias_dataset))
+ framework::dataset::make("AddBias", { true })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
@@ -387,7 +381,7 @@
data_layouts_dataset),
framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 10), QuantizationInfo(2.f / 255.f, 5) })),
framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(3.f / 255.f, 5), QuantizationInfo(4.f / 255.f, 10) })),
- add_bias_dataset))
+ framework::dataset::make("AddBias", { true })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num);
@@ -407,12 +401,11 @@
validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(data3x3,
- framework::dataset::make("DataType",
- DataType::QASYMM8)),
- data_layouts_dataset),
+ framework::dataset::make("DataType", DataType::QASYMM8)),
+ framework::dataset::make("DataLayout", { DataLayout::NHWC })),
framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 10), QuantizationInfo(2.f / 255.f, 128) })),
framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(3.f / 255.f, 128), QuantizationInfo(4.f / 255.f, 128) })),
- add_bias_dataset))
+ framework::dataset::make("AddBias", { true })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num);
@@ -438,7 +431,7 @@
data_layouts_dataset),
framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 0), QuantizationInfo(2.f / 255.f, 0) })),
framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(3.f / 255.f, 0), QuantizationInfo(4.f / 255.f, 0) })),
- add_bias_dataset))
+ framework::dataset::make("AddBias", { true })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num);
@@ -451,7 +444,7 @@
data_layouts_dataset),
framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 10), QuantizationInfo(2.f / 255.f, 5) })),
framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(3.f / 255.f, 5), QuantizationInfo(4.f / 255.f, 10) })),
- add_bias_dataset))
+ framework::dataset::make("AddBias", { true })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num);
@@ -471,7 +464,7 @@
data_layouts_dataset),
framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 10), QuantizationInfo(2.f / 255.f, 5) })),
framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(3.f / 255.f, 5), QuantizationInfo(4.f / 255.f, 10) })),
- add_bias_dataset))
+ framework::dataset::make("AddBias", { true })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num);
@@ -493,12 +486,11 @@
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLDeconvolutionLayerQuantizedFixture3x3<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(data3x3,
- framework::dataset::make("DataType",
- DataType::QASYMM8_SIGNED)),
- data_layouts_dataset),
+ framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
+ framework::dataset::make("DataLayout", { DataLayout::NHWC })),
framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, -10), QuantizationInfo(2.f / 255.f, 127) })),
framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(3.f / 255.f, 64), QuantizationInfo(4.f / 255.f, -128) })),
- add_bias_dataset))
+ framework::dataset::make("AddBias", { true })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num);
@@ -524,7 +516,7 @@
data_layouts_dataset),
framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 0), QuantizationInfo(2.f / 255.f, 0) })),
framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(3.f / 255.f, 0), QuantizationInfo(4.f / 255.f, 0) })),
- add_bias_dataset))
+ framework::dataset::make("AddBias", { true })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num);
@@ -537,7 +529,7 @@
data_layouts_dataset),
framework::dataset::make("InputQuantizationInfo", { QuantizationInfo(1.f / 255.f, 10), QuantizationInfo(2.f / 255.f, 5) })),
framework::dataset::make("OutputQuantizationInfo", { QuantizationInfo(3.f / 255.f, 5), QuantizationInfo(4.f / 255.f, 10) })),
- add_bias_dataset))
+ framework::dataset::make("AddBias", { true })))
{
// Validate output
validate(CLAccessor(_target), _reference, tolerance_qasymm8, tolerance_num);
@@ -559,7 +551,7 @@
data_layouts_dataset),
input_qinfo_dataset),
output_qinfo_dataset),
- add_bias_dataset),
+ framework::dataset::make("AddBias", { true })),
framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL })))
{
// Validate output
@@ -570,7 +562,7 @@
data_layouts_dataset),
input_signed_qinfo_dataset),
output_signed_qinfo_dataset),
- add_bias_dataset),
+ framework::dataset::make("AddBias", { true })),
framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL })))
{
// Validate output
@@ -584,7 +576,7 @@
data_layouts_dataset),
input_qinfo_dataset),
output_qinfo_dataset),
- add_bias_dataset),
+ framework::dataset::make("AddBias", { true })),
framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL })))
{
// Validate output
@@ -595,7 +587,7 @@
data_layouts_dataset),
input_signed_qinfo_dataset),
output_signed_qinfo_dataset),
- add_bias_dataset),
+ framework::dataset::make("AddBias", { true })),
framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL })))
{
// Validate output
@@ -659,7 +651,7 @@
data_layouts_dataset),
input_qinfo_dataset),
output_qinfo_dataset),
- add_bias_dataset),
+ framework::dataset::make("AddBias", { false })),
framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL })))
{
// Validate output
@@ -670,7 +662,7 @@
data_layouts_dataset),
input_signed_qinfo_dataset),
output_signed_qinfo_dataset),
- add_bias_dataset),
+ framework::dataset::make("AddBias", { true })),
framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL })))
{
// Validate output
@@ -684,7 +676,7 @@
data_layouts_dataset),
input_qinfo_dataset),
output_qinfo_dataset),
- add_bias_dataset),
+ framework::dataset::make("AddBias", { true })),
framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL })))
{
// Validate output
@@ -695,7 +687,7 @@
data_layouts_dataset),
input_signed_qinfo_dataset),
output_signed_qinfo_dataset),
- add_bias_dataset),
+ framework::dataset::make("AddBias", { false })),
framework::dataset::make("WeightsDataType", { DataType::QSYMM8_PER_CHANNEL })))
{
// Validate output