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-rw-r--r--tests/validation/CL/DepthwiseConvolutionLayerNative.cpp442
1 files changed, 376 insertions, 66 deletions
diff --git a/tests/validation/CL/DepthwiseConvolutionLayerNative.cpp b/tests/validation/CL/DepthwiseConvolutionLayerNative.cpp
index f640ee2b18..012018c0fc 100644
--- a/tests/validation/CL/DepthwiseConvolutionLayerNative.cpp
+++ b/tests/validation/CL/DepthwiseConvolutionLayerNative.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2021 Arm Limited.
+ * Copyright (c) 2019-2023 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -42,6 +42,7 @@ namespace test
{
namespace validation
{
+using framework::dataset::make;
using namespace arm_compute::misc::shape_calculator;
// Create function for CLDepthwiseConvolutionLayerNativeKernel
@@ -62,64 +63,89 @@ RelativeTolerance<half_float::half> rel_tolerance_f16(half_float::half(0.01f));
constexpr float abs_tolerance_f16(0.03f);
/** Width values to test - Precommit */
-const auto width_values_precommit = framework::dataset::make("width", { 1U, 17U, 32U } );
+const auto width_values_precommit = make("width", { 1U, 33U } );
/** Width values to test - Nightly */
-const auto width_values_nightly = framework::dataset::make("width", { 53U, 47U } );
+const auto width_values_nightly = make("width", { 53U, 47U } );
/** Height values to test - Precommit */
-const auto height_values_precommit = framework::dataset::make("height", { 19U } );
+const auto height_values_precommit = make("height", { 19U } );
/** Height values to test - Nightly */
-const auto height_values_nightly = framework::dataset::make("height", { 39U, 43U } );
+const auto height_values_nightly = make("height", { 39U, 43U } );
/** Channel values to test - Precommit */
-const auto channel_values_precommit = framework::dataset::make("channels", { 15U });
+const auto channel_values_precommit = make("channels", { 15U });
/** Channel values to test - Nightly */
-const auto channel_values_nightly = framework::dataset::make("channels", { 33U, 19U });
+const auto channel_values_nightly = make("channels", { 33U, 19U });
+
+/** Channel values to test with cl_image support - Precommit */
+const auto channel_values_export_to_cl_image_precommit = make("channels", { 16U });
+
+/** Channel values to test with cl_image support - Nightly */
+const auto channel_values_export_to_cl_image_nightly = make("channels", { 32U });
/** Batch values to test - Precommit */
-const auto batch_values_precommit = framework::dataset::make("batch", { 1U, 2U });
+const auto batch_values_precommit = make("batch", { 1U, 2U });
/** Batch values to test - Nightly */
-const auto batch_values_nightly = framework::dataset::make("batch", { 1U, 3U });
+const auto batch_values_nightly = make("batch", { 3U });
/** Kernel size values to test - Precommit */
-const auto kernel_sz_values_precommit = framework::dataset::make("kernel_size", { Size2D(1U, 1U), Size2D(1U, 3U), Size2D(5U, 5U) });
+const auto kernel_sz_values_precommit = make("kernel_size", { Size2D(1U, 1U), Size2D(1U, 3U), Size2D(5U, 5U) });
/** Kernel size values to test - Nightly */
-const auto kernel_sz_values_nightly = framework::dataset::make("kernel_size", { Size2D(3U, 5U), Size2D(5U, 1U), Size2D(1U, 7U), Size2D(9U, 7U) });
+const auto kernel_sz_values_nightly = make("kernel_size", { Size2D(3U, 5U), Size2D(5U, 1U), Size2D(1U, 7U), Size2D(9U, 7U) });
/** Depth multiplier values to test - All */
-const auto depth_multiplier_values = framework::dataset::make("depth_multiplier", {3U});
+const auto depth_multiplier_values = make("depth_multiplier", {3U});
/** Dilation values to test - All */
-const auto dilation_values = framework::dataset::make("dilation", { Size2D(1U, 1U), Size2D(3U, 3U) });
+const auto dilation_values = make("dilation", { Size2D(1U, 1U), Size2D(3U, 3U) });
/** Stride values to test - All */
-const auto stride_values = framework::dataset::make("stride", { Size2D(1U, 1U), Size2D(3U, 2U) });
+const auto stride_values = make("stride", { Size2D(1U, 1U), Size2D(3U, 2U) });
-/** Padding values to test - All */
-const auto padding_valid_values = framework::dataset::make("padding_valid", { true, false });
+/** Padding values to test - Precommit */
+const auto padding_valid_values = make("padding_valid", { true, false });
-/** Data type values to test - All */
-const auto data_type_values = framework::dataset::make("data_type", { DataType::F32, DataType::F16 });
+/** Padding values to test - Nightly */
+const auto padding_valid_values_nightly = make("padding_valid", { false });
/** Data layout values to test - All */
-const auto data_layout_values = framework::dataset::make("data_layout", { DataLayout::NHWC });
+const auto data_layout_values = make("data_layout", { DataLayout::NHWC });
/** N0 values to test - Precommit */
-const auto n0_values_precommit = framework::dataset::make("N0", {2, 4});
+const auto n0_values_precommit = make("N0", {2, 4});
/** N0 values to test - Nightly */
-const auto n0_values_nightly = framework::dataset::make("N0", {3, 8});
+const auto n0_values_nightly = make("N0", {3, 8});
+
+/** N0 values to test with cl_image support - Precommit */
+const auto n0_values_export_to_cl_image_precommit = make("N0", {4});
+
+/** N0 values to test with cl_image support - Nightly */
+const auto n0_values_export_to_cl_image_nightly = make("N0", {8});
-/** Activation values to test */
-const auto act_values = framework::dataset::make("Activation",
+/** Activation values to test in precommit */
+const auto act_values = make("Activation", { ActivationLayerInfo() });
+
+const auto activations_rest = make("Activation",
{
- ActivationLayerInfo(),
- ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 8.f, 2.f),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f, 0.5f),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.8f, -0.5f),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LEAKY_RELU, 0.1f),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SOFT_RELU),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ELU),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ABS),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SQUARE),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::HARD_SWISH),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR, 2.f, 1.f),
+ ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::GELU)
});
} // namespace
@@ -129,94 +155,264 @@ TEST_SUITE(DepthwiseConvolutionLayerNative)
TEST_SUITE(Float)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::ALL,
- combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+ combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
width_values_precommit,
height_values_precommit),
channel_values_precommit),
batch_values_precommit),
kernel_sz_values_precommit),
- framework::dataset::make("depth_multiplier", 1)),
+ make("depth_multiplier", 1)),
dilation_values),
stride_values),
padding_valid_values),
- framework::dataset::make("DataType", DataType::F32)),
+ make("DataType", DataType::F32)),
data_layout_values),
act_values),
- n0_values_precommit))
+ n0_values_precommit),
+ make("ExportToCLImage", false)))
{
// Validate output
validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::NIGHTLY,
- combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+ combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
width_values_nightly,
height_values_nightly),
channel_values_nightly),
batch_values_nightly),
kernel_sz_values_nightly),
- framework::dataset::make("depth_multiplier", 1)),
+ make("depth_multiplier", 1)),
dilation_values),
stride_values),
- padding_valid_values),
- framework::dataset::make("DataType", DataType::F32)),
+ padding_valid_values_nightly),
+ make("DataType", DataType::F32)),
data_layout_values),
- act_values),
- n0_values_nightly))
+ make("Activation", { ActivationLayerInfo() })),
+ n0_values_nightly),
+ make("ExportToCLImage", false)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
+}
+
+FIXTURE_DATA_TEST_CASE_NEW(RunActivations, CLDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::ALL,
+ combine(
+ make("width", { 33U } ),
+ height_values_precommit,
+ channel_values_precommit,
+ make("batch", { 2U } ),
+ make("kernel_size", { Size2D(5U, 5U) }),
+ make("depth_multiplier", 1),
+ make("dilation", Size2D(3U, 3U)),
+ make("stride", Size2D(3U, 2U)),
+ padding_valid_values_nightly,
+ make("DataType", DataType::F32),
+ data_layout_values,
+ activations_rest,
+ n0_values_precommit,
+ make("ExportToCLImage", false)))
{
// Validate output
validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
}
+
+TEST_SUITE(ExportWeightsToCLImage)
+FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::ALL,
+ combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+ width_values_precommit,
+ height_values_precommit),
+ channel_values_export_to_cl_image_precommit),
+ batch_values_precommit),
+ kernel_sz_values_precommit),
+ make("depth_multiplier", 1)),
+ dilation_values),
+ stride_values),
+ padding_valid_values),
+ make("DataType", DataType::F32)),
+ data_layout_values),
+ act_values),
+ n0_values_export_to_cl_image_precommit),
+ make("ExportToCLImage", true)))
+{
+ // Validate output
+ if(_validate_output)
+ {
+ // Validate output
+ validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
+ }
+ else
+ {
+ ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
+ framework::ARM_COMPUTE_PRINT_INFO();
+ }
+}
+
+FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::NIGHTLY,
+ combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+ width_values_nightly,
+ height_values_nightly),
+ channel_values_export_to_cl_image_nightly),
+ batch_values_nightly),
+ kernel_sz_values_nightly),
+ make("depth_multiplier", 1)),
+ dilation_values),
+ stride_values),
+ padding_valid_values_nightly),
+ make("DataType", DataType::F32)),
+ data_layout_values),
+ make("Activation", { ActivationLayerInfo() })),
+ n0_values_export_to_cl_image_nightly),
+ make("ExportToCLImage", true)))
+{
+ // Validate output
+ if(_validate_output)
+ {
+ // Validate output
+ validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
+ }
+ else
+ {
+ ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
+ framework::ARM_COMPUTE_PRINT_INFO();
+ }
+}
+
+TEST_SUITE_END() // ExportWeightsToCLImage
TEST_SUITE_END() // FP32
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<half>, framework::DatasetMode::ALL,
- combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+ combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
width_values_precommit,
height_values_precommit),
channel_values_precommit),
batch_values_precommit),
kernel_sz_values_precommit),
- framework::dataset::make("depth_multiplier", 1)),
+ make("depth_multiplier", 1)),
dilation_values),
stride_values),
padding_valid_values),
- framework::dataset::make("DataType", DataType::F16)),
+ make("DataType", DataType::F16)),
data_layout_values),
act_values),
- n0_values_precommit))
+ n0_values_precommit),
+ make("ExportToCLImage", false)))
{
// Validate output
validate(CLAccessor(_target), _reference, rel_tolerance_f16);
}
-
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerNativeFixture<half>, framework::DatasetMode::NIGHTLY,
- combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
- width_values_nightly,
- height_values_nightly),
- channel_values_nightly),
+ combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+ make("width", { 47U } ),
+ make("height", { 39U } )),
+ make("channels", { 19U } )),
batch_values_nightly),
- kernel_sz_values_nightly),
- framework::dataset::make("depth_multiplier", 1)),
+ make("kernel_size", { Size2D(5U, 5U) })),
+ make("depth_multiplier", 1)),
+ make("dilation", { Size2D(3U, 3U) })),
+ make("stride", { Size2D(3U, 2U) })),
+ padding_valid_values_nightly),
+ make("DataType", DataType::F16)),
+ data_layout_values),
+ make("Activation", { ActivationLayerInfo() })),
+ n0_values_nightly),
+ make("ExportToCLImage", false)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
+}
+
+FIXTURE_DATA_TEST_CASE_NEW(RunActivations, CLDepthwiseConvolutionLayerNativeFixture<half>, framework::DatasetMode::ALL,
+ combine(
+ make("width", { 33U } ),
+ height_values_precommit,
+ channel_values_precommit,
+ make("batch", { 2U } ),
+ make("kernel_size", { Size2D(5U, 5U) }),
+ make("depth_multiplier", 4),
+ make("dilation", Size2D(3U, 3U)),
+ make("stride", Size2D(3U, 2U)),
+ padding_valid_values_nightly,
+ make("DataType", DataType::F16),
+ data_layout_values,
+ activations_rest,
+ n0_values_precommit,
+ make("ExportToCLImage", false)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
+}
+
+TEST_SUITE(ExportWeightsToCLImage)
+FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<half>, framework::DatasetMode::ALL,
+ combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+ width_values_precommit,
+ height_values_precommit),
+ channel_values_export_to_cl_image_precommit),
+ batch_values_precommit),
+ kernel_sz_values_precommit),
+ make("depth_multiplier", 1)),
dilation_values),
stride_values),
padding_valid_values),
- framework::dataset::make("DataType", DataType::F16)),
+ make("DataType", DataType::F16)),
data_layout_values),
act_values),
- n0_values_nightly))
+ n0_values_export_to_cl_image_precommit),
+ make("ExportToCLImage", true)))
{
- // Validate output
- validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
+ // Validate output
+ if(_validate_output)
+ {
+ // Validate output
+ validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
+ }
+ else
+ {
+ ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
+ framework::ARM_COMPUTE_PRINT_INFO();
+ }
+}
+FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerNativeFixture<half>, framework::DatasetMode::NIGHTLY,
+ combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+ make("width", { 47U } ),
+ make("height", { 39U } )),
+ channel_values_export_to_cl_image_nightly),
+ batch_values_nightly),
+ make("kernel_size", { Size2D(5U, 5U) })),
+ make("depth_multiplier", 1)),
+ make("dilation", { Size2D(3U, 3U) })),
+ make("stride", { Size2D(3U, 2U) })),
+ padding_valid_values_nightly),
+ make("DataType", DataType::F16)),
+ data_layout_values),
+ make("Activation", { ActivationLayerInfo() })),
+ n0_values_export_to_cl_image_nightly),
+ make("ExportToCLImage", true)))
+{
+ // Validate output
+ if(_validate_output)
+ {
+ // Validate output
+ validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
+ }
+ else
+ {
+ ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
+ framework::ARM_COMPUTE_PRINT_INFO();
+ }
}
+TEST_SUITE_END() // ExportWeightsToCLImage
TEST_SUITE_END() // FP16
TEST_SUITE_END() // Float
+
TEST_SUITE(DepthMultiplier)
TEST_SUITE(Float)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::ALL,
- combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
- width_values_precommit,
+ combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+ make("width", { 33U } ),
height_values_precommit),
channel_values_precommit),
batch_values_precommit),
@@ -225,18 +421,19 @@ FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<fl
dilation_values),
stride_values),
padding_valid_values),
- framework::dataset::make("DataType", DataType::F32)),
+ make("DataType", DataType::F32)),
data_layout_values),
act_values),
- framework::dataset::make("N0", 1)))
+ make("N0", 1)),
+ make("ExportToCLImage", false)))
{
// Validate output
validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::NIGHTLY,
- combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
- width_values_nightly,
+ combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+ make("width", { 53U } ),
height_values_nightly),
channel_values_nightly),
batch_values_nightly),
@@ -244,21 +441,77 @@ FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerNativeFixture<fl
depth_multiplier_values),
dilation_values),
stride_values),
+ padding_valid_values_nightly),
+ make("DataType", DataType::F32)),
+ data_layout_values),
+ make("Activation", { ActivationLayerInfo() })),
+ make("N0", 1)),
+ make("ExportToCLImage", false)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
+}
+
+TEST_SUITE(DepthMultiplierMultipleOfOutputChannels)
+FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::ALL,
+ combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+ make("width", { 33U } ),
+ height_values_precommit),
+ channel_values_precommit),
+ batch_values_precommit),
+ kernel_sz_values_precommit),
+ make("depth_multiplier", 2)),
+ dilation_values),
+ stride_values),
padding_valid_values),
- framework::dataset::make("DataType", DataType::F32)),
+ make("DataType", DataType::F32)),
data_layout_values),
act_values),
- framework::dataset::make("N0", 1)))
+ make("N0", {2})),
+ make("ExportToCLImage", false)))
{
// Validate output
validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
}
+
+TEST_SUITE(ExportWeightsToCLImage)
+FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::ALL,
+ combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+ make("width", { 33U } ),
+ height_values_precommit),
+ channel_values_precommit),
+ batch_values_precommit),
+ kernel_sz_values_precommit),
+ make("depth_multiplier", 4)),
+ dilation_values),
+ stride_values),
+ padding_valid_values),
+ make("DataType", DataType::F32)),
+ data_layout_values),
+ act_values),
+ make("N0", {4})),
+ make("ExportToCLImage", true)))
+{
+ // Validate output
+ if(_validate_output)
+ {
+ // Validate output
+ validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
+ }
+ else
+ {
+ ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
+ framework::ARM_COMPUTE_PRINT_INFO();
+ }
+}
+TEST_SUITE_END() // ExportWeightsToCLImage
+TEST_SUITE_END() // DepthMultiplierMultipleOfOutputChannels
TEST_SUITE_END() // FP32
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<half>, framework::DatasetMode::ALL,
- combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
- width_values_precommit,
+ combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+ make("width", { 33U } ),
height_values_precommit),
channel_values_precommit),
batch_values_precommit),
@@ -267,18 +520,19 @@ FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<ha
dilation_values),
stride_values),
padding_valid_values),
- framework::dataset::make("DataType", DataType::F16)),
+ make("DataType", DataType::F16)),
data_layout_values),
act_values),
- framework::dataset::make("N0", 1)))
+ make("N0", 1)),
+ make("ExportToCLImage", false)))
{
// Validate output
validate(CLAccessor(_target), _reference, rel_tolerance_f16);
}
FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerNativeFixture<half>, framework::DatasetMode::NIGHTLY,
- combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
- width_values_nightly,
+ combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+ make("width", { 53U } ),
height_values_nightly),
channel_values_nightly),
batch_values_nightly),
@@ -286,15 +540,71 @@ FIXTURE_DATA_TEST_CASE_NEW(RunLarge, CLDepthwiseConvolutionLayerNativeFixture<ha
depth_multiplier_values),
dilation_values),
stride_values),
+ padding_valid_values_nightly),
+ make("DataType", DataType::F16)),
+ data_layout_values),
+ make("Activation", { ActivationLayerInfo() })),
+ make("N0", 1)),
+ make("ExportToCLImage", false)))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
+}
+
+TEST_SUITE(DepthMultiplierMultipleOfOutputChannels)
+FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<half>, framework::DatasetMode::ALL,
+ combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+ make("width", { 33U } ),
+ height_values_precommit),
+ channel_values_precommit),
+ batch_values_precommit),
+ kernel_sz_values_precommit),
+ make("depth_multiplier", 2)),
+ dilation_values),
+ stride_values),
padding_valid_values),
- framework::dataset::make("DataType", DataType::F16)),
+ make("DataType", DataType::F16)),
data_layout_values),
act_values),
- framework::dataset::make("N0", 1)))
+ make("N0", {2})),
+ make("ExportToCLImage", false)))
{
// Validate output
validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
}
+
+TEST_SUITE(ExportWeightsToCLImage)
+FIXTURE_DATA_TEST_CASE_NEW(RunSmall, CLDepthwiseConvolutionLayerNativeFixture<half>, framework::DatasetMode::ALL,
+ combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+ make("width", { 33U } ),
+ height_values_precommit),
+ channel_values_precommit),
+ batch_values_precommit),
+ kernel_sz_values_precommit),
+ make("depth_multiplier", 4)),
+ dilation_values),
+ stride_values),
+ padding_valid_values),
+ make("DataType", DataType::F16)),
+ data_layout_values),
+ act_values),
+ make("N0", {4})),
+ make("ExportToCLImage", true)))
+{
+ // Validate output
+ if(_validate_output)
+ {
+ // Validate output
+ validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.f, abs_tolerance_f16);
+ }
+ else
+ {
+ ARM_COMPUTE_TEST_INFO("cl_khr_image2d_from_buffer not supported. TEST skipped");
+ framework::ARM_COMPUTE_PRINT_INFO();
+ }
+}
+TEST_SUITE_END() // ExportWeightsToCLImage
+TEST_SUITE_END() // DepthMultiplierMultipleOfOutputChannels
TEST_SUITE_END() // FP16
TEST_SUITE_END() // Float
TEST_SUITE_END() // DepthMultiplier
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-03 21:22:51 +0000