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path: root/src/gpu/cl/kernels/ClDirectConv3dKernel.cpp
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Diffstat (limited to 'src/gpu/cl/kernels/ClDirectConv3dKernel.cpp')
-rw-r--r--src/gpu/cl/kernels/ClDirectConv3dKernel.cpp72
1 files changed, 50 insertions, 22 deletions
diff --git a/src/gpu/cl/kernels/ClDirectConv3dKernel.cpp b/src/gpu/cl/kernels/ClDirectConv3dKernel.cpp
index 6191178911..8002520a87 100644
--- a/src/gpu/cl/kernels/ClDirectConv3dKernel.cpp
+++ b/src/gpu/cl/kernels/ClDirectConv3dKernel.cpp
@@ -28,6 +28,7 @@
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/core/utils/quantization/AsymmHelpers.h"
#include "arm_compute/core/utils/StringUtils.h"
+
#include "src/core/CL/CLValidate.h"
#include "src/core/helpers/WindowHelpers.h"
#include "support/Cast.h"
@@ -40,7 +41,11 @@ namespace kernels
{
namespace
{
-Status validate_arguments(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const Conv3dInfo &conv3d_info)
+Status validate_arguments(const ITensorInfo *src0,
+ const ITensorInfo *src1,
+ const ITensorInfo *src2,
+ const ITensorInfo *dst,
+ const Conv3dInfo &conv3d_info)
{
ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_LAYOUT(src0, src1, dst);
ARM_COMPUTE_RETURN_ERROR_ON_MSG(src0->data_layout() != DataLayout::NDHWC, "Only NDHWC layout supported");
@@ -49,20 +54,25 @@ Status validate_arguments(const ITensorInfo *src0, const ITensorInfo *src1, cons
ARM_COMPUTE_RETURN_ERROR_ON_MSG(conv3d_info.act_info.enabled(), "Fused activation not supported");
ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src0);
- ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src0, 1, DataType::F16, DataType::F32, DataType::QASYMM8, DataType::QASYMM8_SIGNED);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src0, 1, DataType::F16, DataType::F32, DataType::QASYMM8,
+ DataType::QASYMM8_SIGNED);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src0, src1);
ARM_COMPUTE_RETURN_ERROR_ON(conv3d_info.dilation != Size3D(1U, 1U, 1U));
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(src1->dimension(1) != src0->dimension(0), "Weights feature map dimension should match the respective src's one");
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(src1->dimension(1) != src0->dimension(0),
+ "Weights feature map dimension should match the respective src's one");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(src1->num_dimensions() > 5, "Weights can be at most 5 dimensional");
- ARM_COMPUTE_RETURN_ERROR_ON(src1->dimension(2) > (src0->dimension(1) + conv3d_info.padding.left + conv3d_info.padding.right));
- ARM_COMPUTE_RETURN_ERROR_ON(src1->dimension(3) > (src0->dimension(2) + conv3d_info.padding.top + conv3d_info.padding.bottom));
- ARM_COMPUTE_RETURN_ERROR_ON(src1->dimension(4) > (src0->dimension(3) + conv3d_info.padding.front + conv3d_info.padding.back));
+ ARM_COMPUTE_RETURN_ERROR_ON(src1->dimension(2) >
+ (src0->dimension(1) + conv3d_info.padding.left + conv3d_info.padding.right));
+ ARM_COMPUTE_RETURN_ERROR_ON(src1->dimension(3) >
+ (src0->dimension(2) + conv3d_info.padding.top + conv3d_info.padding.bottom));
+ ARM_COMPUTE_RETURN_ERROR_ON(src1->dimension(4) >
+ (src0->dimension(3) + conv3d_info.padding.front + conv3d_info.padding.back));
- if(src2 != nullptr)
+ if (src2 != nullptr)
{
- if(is_data_type_quantized(src0->data_type()))
+ if (is_data_type_quantized(src0->data_type()))
{
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src2, 1, DataType::S32);
}
@@ -70,15 +80,18 @@ Status validate_arguments(const ITensorInfo *src0, const ITensorInfo *src1, cons
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src1, src2);
}
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(src2->dimension(0) != src1->dimension(0), "Biases size and number of dst feature maps should match");
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(src2->dimension(0) != src1->dimension(0),
+ "Biases size and number of dst feature maps should match");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(src2->num_dimensions() > 1, "Biases should be one dimensional");
}
// Checks performed when dst is configured
- if(dst->total_size() != 0)
+ if (dst->total_size() != 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_MSG(dst->dimension(0) != src1->dimension(0), "Weights and dst OFMs should match");
- ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(), misc::shape_calculator::compute_conv3d_shape(src0->tensor_shape(), src1->tensor_shape(), conv3d_info));
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(
+ dst->tensor_shape(),
+ misc::shape_calculator::compute_conv3d_shape(src0->tensor_shape(), src1->tensor_shape(), conv3d_info));
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src0, dst);
}
@@ -91,8 +104,12 @@ ClDirectConv3dKernel::ClDirectConv3dKernel()
_type = CLKernelType::DIRECT;
}
-void ClDirectConv3dKernel::configure(const CLCompileContext &compile_context, const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *src2, ITensorInfo *dst,
- const Conv3dInfo &conv3d_info)
+void ClDirectConv3dKernel::configure(const CLCompileContext &compile_context,
+ const ITensorInfo *src0,
+ const ITensorInfo *src1,
+ const ITensorInfo *src2,
+ ITensorInfo *dst,
+ const Conv3dInfo &conv3d_info)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(src0, src1, dst);
@@ -149,13 +166,13 @@ void ClDirectConv3dKernel::configure(const CLCompileContext &compile_context, co
build_options.add_option("-DK0=" + support::cpp11::to_string(k0));
build_options.add_option("-DPARTIAL_N0=" + support::cpp11::to_string(partial_store_n0));
- if(src2 != nullptr)
+ if (src2 != nullptr)
{
build_options.add_option(std::string("-DHAS_BIAS"));
build_options.add_option(std::string("-DBIA_DATA_TYPE=" + get_cl_type_from_data_type(src2->data_type())));
}
- if(is_data_type_quantized(data_type))
+ if (is_data_type_quantized(data_type))
{
const UniformQuantizationInfo iqinfo = src0->quantization_info().uniform();
const UniformQuantizationInfo wqinfo = src1->quantization_info().uniform();
@@ -218,7 +235,11 @@ void ClDirectConv3dKernel::configure(const CLCompileContext &compile_context, co
_config_id += support::cpp11::to_string(dst_channels);
}
-Status ClDirectConv3dKernel::validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const Conv3dInfo &conv3d_info)
+Status ClDirectConv3dKernel::validate(const ITensorInfo *src0,
+ const ITensorInfo *src1,
+ const ITensorInfo *src2,
+ const ITensorInfo *dst,
+ const Conv3dInfo &conv3d_info)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src0, src1, src2, dst, conv3d_info));
return Status{};
@@ -229,21 +250,28 @@ void ClDirectConv3dKernel::run_op(ITensorPack &tensors, const Window &window, cl
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
- const auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_0));
- const auto weights = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_1));
- const auto biases = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_2));
- auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
+ const auto src =
+ utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_0));
+ const auto weights =
+ utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_1));
+ const auto biases =
+ utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_2));
+ auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
// Get initial windows
Window slice = window.first_slice_window_3D();
- slice.set(Window::DimY, Window::Dimension(0, ceil_to_multiple(dst->info()->dimension(1) * dst->info()->dimension(2) * dst->info()->dimension(3), slice.y().step()), slice.y().step()));
+ slice.set(Window::DimY, Window::Dimension(0,
+ ceil_to_multiple(dst->info()->dimension(1) * dst->info()->dimension(2) *
+ dst->info()->dimension(3),
+ slice.y().step()),
+ slice.y().step()));
slice.set(Window::DimZ, Window::Dimension(0, dst->info()->dimension(4), 1));
unsigned int idx = 0;
add_4D_tensor_argument(idx, src, slice);
add_4D_tensor_argument(idx, dst, slice);
add_4D_tensor_argument(idx, weights, slice);
- if(biases != nullptr)
+ if (biases != nullptr)
{
add_1D_tensor_argument(idx, biases, slice);
}
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-20 00:38:00 +0000