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Diffstat (limited to 'src/dynamic_fusion/sketch/gpu/components/cl/ClComponentDirectConv2d.cpp')
-rw-r--r--src/dynamic_fusion/sketch/gpu/components/cl/ClComponentDirectConv2d.cpp64
1 files changed, 33 insertions, 31 deletions
diff --git a/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentDirectConv2d.cpp b/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentDirectConv2d.cpp
index a713c82003..98f3d6a882 100644
--- a/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentDirectConv2d.cpp
+++ b/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentDirectConv2d.cpp
@@ -23,8 +23,8 @@
*/
#include "ClComponentDirectConv2d.h"
-#include "arm_compute/core/Validate.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "arm_compute/core/Validate.h"
#include "arm_compute/dynamic_fusion/sketch/attributes/Conv2dAttributes.h"
#include "src/core/CL/CLValidate.h"
@@ -57,7 +57,8 @@ bool ClComponentDirectConv2dSettings::fast_relaxed_math() const
return _fast_relaxed_math;
}
-ClComponentDirectConv2dSettings &ClComponentDirectConv2dSettings::direct_conv_descriptor(const DirectConvComputeKernelInfo &desc)
+ClComponentDirectConv2dSettings &
+ClComponentDirectConv2dSettings::direct_conv_descriptor(const DirectConvComputeKernelInfo &desc)
{
_desc = desc;
return *this;
@@ -68,11 +69,10 @@ DirectConvComputeKernelInfo ClComponentDirectConv2dSettings::direct_conv_descrip
return _desc;
}
-Status ClComponentDirectConv2d::validate(
- const Properties &properties,
- const ArgumentPack<ITensorInfo> &tensors,
- const Attributes &attributes,
- const Settings &settings)
+Status ClComponentDirectConv2d::validate(const Properties &properties,
+ const ArgumentPack<ITensorInfo> &tensors,
+ const Attributes &attributes,
+ const Settings &settings)
{
ARM_COMPUTE_UNUSED(properties);
const auto src = tensors.get_const_tensor(TensorType::ACL_SRC_0);
@@ -86,7 +86,7 @@ Status ClComponentDirectConv2d::validate(
// Matching data type
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, wei);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
- if(bia != nullptr)
+ if (bia != nullptr)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, bia);
}
@@ -94,7 +94,7 @@ Status ClComponentDirectConv2d::validate(
// Matching data layout
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(src, wei);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(src, dst);
- if(bia != nullptr)
+ if (bia != nullptr)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(src, bia);
}
@@ -103,7 +103,7 @@ Status ClComponentDirectConv2d::validate(
ARM_COMPUTE_RETURN_ERROR_ON(src->tensor_shape().total_size() == 0);
ARM_COMPUTE_RETURN_ERROR_ON(wei->tensor_shape().total_size() == 0);
ARM_COMPUTE_RETURN_ERROR_ON(dst->tensor_shape().total_size() == 0);
- if(bia != nullptr)
+ if (bia != nullptr)
{
ARM_COMPUTE_RETURN_ERROR_ON(bia->tensor_shape().total_size() == 0);
}
@@ -112,22 +112,23 @@ Status ClComponentDirectConv2d::validate(
// wei shape is correct
const DataLayout data_layout = src->data_layout();
const int channel_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL);
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(wei->dimension(channel_idx) != src->dimension(channel_idx), "Weights feature map dimension should match the respective src's one");
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(wei->dimension(channel_idx) != src->dimension(channel_idx),
+ "Weights feature map dimension should match the respective src's one");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(wei->num_dimensions() > 4, "Weights can be at most 4 dimensional");
// dst shape is correct
- PadStrideInfo legacy_pad_stride(attributes.stride().x(), attributes.stride().y(), attributes.pad().left, attributes.pad().right, attributes.pad().top,
- attributes.pad().bottom, DimensionRoundingType{});
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(),
- misc::shape_calculator::compute_deep_convolution_shape(*src, *wei, legacy_pad_stride));
+ PadStrideInfo legacy_pad_stride(attributes.stride().x(), attributes.stride().y(), attributes.pad().left,
+ attributes.pad().right, attributes.pad().top, attributes.pad().bottom,
+ DimensionRoundingType{});
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(
+ dst->tensor_shape(), misc::shape_calculator::compute_deep_convolution_shape(*src, *wei, legacy_pad_stride));
// bia shape is correct
- if(bia != nullptr)
+ if (bia != nullptr)
{
ARM_COMPUTE_RETURN_ERROR_ON_MSG(bia->dimension(0) != wei->dimension(3),
"Biases size and number of dst feature maps should match");
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(bia->num_dimensions() > 1,
- "Biases should be one dimensional");
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(bia->num_dimensions() > 1, "Biases should be one dimensional");
}
// 2. Check support level
@@ -137,24 +138,25 @@ Status ClComponentDirectConv2d::validate(
ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN(src, DataLayout::NHWC);
const auto desc = settings.direct_conv_descriptor();
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(desc.n0 != 1 && desc.n0 != 2 && desc.n0 != 3 && desc.n0 != 4 && desc.n0 != 8 && desc.n0 != 16,
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(desc.n0 != 1 && desc.n0 != 2 && desc.n0 != 3 && desc.n0 != 4 && desc.n0 != 8 &&
+ desc.n0 != 16,
"N0 can only be: 1, 2, 3, 4, 8, and 16");
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(desc.k0 != 1 && desc.k0 != 2 && desc.k0 != 3 && desc.k0 != 4 && desc.k0 != 8 && desc.k0 != 16,
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(desc.k0 != 1 && desc.k0 != 2 && desc.k0 != 3 && desc.k0 != 4 && desc.k0 != 8 &&
+ desc.k0 != 16,
"K0 can only be: 1, 2, 3, 4, 8, and 16");
return Status{};
}
-ClComponentDirectConv2d::ClComponentDirectConv2d(
- ComponentId id,
- const Properties &properties,
- const ArgumentPack<ITensorInfo> &tensors,
- const Attributes &attributes,
- const Settings &settings)
- : IGpuKernelComponent{ id, properties, tensors },
+ClComponentDirectConv2d::ClComponentDirectConv2d(ComponentId id,
+ const Properties &properties,
+ const ArgumentPack<ITensorInfo> &tensors,
+ const Attributes &attributes,
+ const Settings &settings)
+ : IGpuKernelComponent{id, properties, tensors},
#ifndef ACL_INTERNAL_TEST_CKW_IN_DF
- _component_writer{ std::make_unique<ClTemplateDirectConv2d>(id, tensors, attributes, settings) }
-#else // ACL_INTERNAL_TEST_CKW_IN_DF
- _component_writer{ std::make_unique<GpuCkwDirectConv2d>(id, tensors, attributes, settings) }
+ _component_writer{std::make_unique<ClTemplateDirectConv2d>(id, tensors, attributes, settings)}
+#else // ACL_INTERNAL_TEST_CKW_IN_DF
+ _component_writer{std::make_unique<GpuCkwDirectConv2d>(id, tensors, attributes, settings)}
#endif // ACL_INTERNAL_TEST_CKW_IN_DF
{
}
@@ -165,7 +167,7 @@ ClComponentDirectConv2d::~ClComponentDirectConv2d()
#ifndef ACL_INTERNAL_TEST_CKW_IN_DF
const IGpuTemplateComponentWriter *ClComponentDirectConv2d::template_writer() const
-#else // ACL_INTERNAL_TEST_CKW_IN_DF
+#else // ACL_INTERNAL_TEST_CKW_IN_DF
const IGpuCkwComponentDriver *ClComponentDirectConv2d::ckw_component_driver() const
#endif // ACL_INTERNAL_TEST_CKW_IN_DF
{
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-19 21:48:10 +0000