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path: root/src/core/NEON/kernels/NEPriorBoxLayerKernel.cpp
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Diffstat (limited to 'src/core/NEON/kernels/NEPriorBoxLayerKernel.cpp')
-rw-r--r--src/core/NEON/kernels/NEPriorBoxLayerKernel.cpp166
1 files changed, 93 insertions, 73 deletions
diff --git a/src/core/NEON/kernels/NEPriorBoxLayerKernel.cpp b/src/core/NEON/kernels/NEPriorBoxLayerKernel.cpp
index 3d89933377..15e933e66e 100644
--- a/src/core/NEON/kernels/NEPriorBoxLayerKernel.cpp
+++ b/src/core/NEON/kernels/NEPriorBoxLayerKernel.cpp
@@ -27,6 +27,7 @@
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
+
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
@@ -36,7 +37,10 @@ namespace arm_compute
{
namespace
{
-Status validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const PriorBoxLayerInfo &info)
+Status validate_arguments(const ITensorInfo *input1,
+ const ITensorInfo *input2,
+ const ITensorInfo *output,
+ const PriorBoxLayerInfo &info)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input1, input2, output);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::F32);
@@ -45,10 +49,10 @@ Status validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2,
// Check variances
const int var_size = info.variances().size();
- if(var_size > 1)
+ if (var_size > 1)
{
ARM_COMPUTE_RETURN_ERROR_ON_MSG(var_size != 4, "Must provide 4 variance values");
- for(int i = 0; i < var_size; ++i)
+ for (int i = 0; i < var_size; ++i)
{
ARM_COMPUTE_RETURN_ERROR_ON_MSG(var_size <= 0, "Must be greater than 0");
}
@@ -56,17 +60,19 @@ Status validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2,
ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.steps()[0] < 0.f, "Step x should be greater or equal to 0");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.steps()[1] < 0.f, "Step y should be greater or equal to 0");
- if(!info.max_sizes().empty())
+ if (!info.max_sizes().empty())
{
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.max_sizes().size() != info.min_sizes().size(), "Max and min sizes dimensions should match");
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.max_sizes().size() != info.min_sizes().size(),
+ "Max and min sizes dimensions should match");
}
- for(unsigned int i = 0; i < info.max_sizes().size(); ++i)
+ for (unsigned int i = 0; i < info.max_sizes().size(); ++i)
{
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.max_sizes()[i] < info.min_sizes()[i], "Max size should be greater than min size");
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.max_sizes()[i] < info.min_sizes()[i],
+ "Max size should be greater than min size");
}
- if(output != nullptr && output->total_size() != 0)
+ if (output != nullptr && output->total_size() != 0)
{
ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(1) != 2);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input1, output);
@@ -76,21 +82,26 @@ Status validate_arguments(const ITensorInfo *input1, const ITensorInfo *input2,
}
} // namespace
-NEPriorBoxLayerKernel::NEPriorBoxLayerKernel()
- : _input1(nullptr), _input2(nullptr), _output(nullptr), _info()
+NEPriorBoxLayerKernel::NEPriorBoxLayerKernel() : _input1(nullptr), _input2(nullptr), _output(nullptr), _info()
{
}
-void NEPriorBoxLayerKernel::store_coordinates(float *out, const int offset, const float center_x, const float center_y, const float box_width, const float box_height, const int width,
- const int height)
+void NEPriorBoxLayerKernel::store_coordinates(float *out,
+ const int offset,
+ const float center_x,
+ const float center_y,
+ const float box_width,
+ const float box_height,
+ const int width,
+ const int height)
{
float xmin = (center_x - box_width / 2.f) / width;
float ymin = (center_y - box_height / 2.f) / height;
float xmax = (center_x + box_width / 2.f) / width;
float ymax = (center_y + box_height / 2.f) / height;
- float32x4_t vec_elements = { xmin, ymin, xmax, ymax };
- if(_info.clip())
+ float32x4_t vec_elements = {xmin, ymin, xmax, ymax};
+ if (_info.clip())
{
static const float32x4_t CONST_0 = vdupq_n_f32(0.f);
static const float32x4_t CONST_1 = vdupq_n_f32(1.f);
@@ -112,7 +123,7 @@ void NEPriorBoxLayerKernel::calculate_prior_boxes(const Window &window)
int img_width = _info.img_size().x;
int img_height = _info.img_size().y;
- if(img_width == 0 || img_height == 0)
+ if (img_width == 0 || img_height == 0)
{
img_width = _input2->info()->dimension(width_idx);
img_height = _input2->info()->dimension(height_idx);
@@ -120,7 +131,7 @@ void NEPriorBoxLayerKernel::calculate_prior_boxes(const Window &window)
float step_x = _info.steps()[0];
float step_y = _info.steps()[1];
- if(step_x == 0.f || step_y == 0.f)
+ if (step_x == 0.f || step_y == 0.f)
{
step_x = static_cast<float>(img_width) / layer_width;
step_y = static_cast<float>(img_height) / layer_height;
@@ -130,74 +141,80 @@ void NEPriorBoxLayerKernel::calculate_prior_boxes(const Window &window)
slice.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), 2));
Iterator output(_output, slice);
- execute_window_loop(slice, [&](const Coordinates & id)
- {
- float center_x = 0;
- float center_y = 0;
- int idx = id.x() / (4 * num_priors);
- center_x = (static_cast<float>(idx % layer_width) + _info.offset()) * step_x;
- center_y = (static_cast<float>(idx / layer_width) + _info.offset()) * step_y;
-
- float box_width;
- float box_height;
- int offset = 0;
-
- auto out = reinterpret_cast<float *>(output.ptr());
- for(unsigned int i = 0; i < _info.min_sizes().size(); ++i)
+ execute_window_loop(
+ slice,
+ [&](const Coordinates &id)
{
- const float min_size = _info.min_sizes().at(i);
- box_width = min_size;
- box_height = min_size;
- store_coordinates(out, offset, center_x, center_y, box_width, box_height, img_width, img_height);
- offset += 4;
-
- if(!_info.max_sizes().empty())
+ float center_x = 0;
+ float center_y = 0;
+ int idx = id.x() / (4 * num_priors);
+ center_x = (static_cast<float>(idx % layer_width) + _info.offset()) * step_x;
+ center_y = (static_cast<float>(idx / layer_width) + _info.offset()) * step_y;
+
+ float box_width;
+ float box_height;
+ int offset = 0;
+
+ auto out = reinterpret_cast<float *>(output.ptr());
+ for (unsigned int i = 0; i < _info.min_sizes().size(); ++i)
{
- const float max_size = _info.max_sizes().at(i);
- box_width = std::sqrt(min_size * max_size);
- box_height = box_width;
-
+ const float min_size = _info.min_sizes().at(i);
+ box_width = min_size;
+ box_height = min_size;
store_coordinates(out, offset, center_x, center_y, box_width, box_height, img_width, img_height);
offset += 4;
- }
- // rest of priors
- for(auto ar : _info.aspect_ratios())
- {
- if(fabs(ar - 1.) < 1e-6)
+ if (!_info.max_sizes().empty())
{
- continue;
+ const float max_size = _info.max_sizes().at(i);
+ box_width = std::sqrt(min_size * max_size);
+ box_height = box_width;
+
+ store_coordinates(out, offset, center_x, center_y, box_width, box_height, img_width, img_height);
+ offset += 4;
}
- box_width = min_size * sqrt(ar);
- box_height = min_size / sqrt(ar);
+ // rest of priors
+ for (auto ar : _info.aspect_ratios())
+ {
+ if (fabs(ar - 1.) < 1e-6)
+ {
+ continue;
+ }
- store_coordinates(out, offset, center_x, center_y, box_width, box_height, img_width, img_height);
- offset += 4;
+ box_width = min_size * sqrt(ar);
+ box_height = min_size / sqrt(ar);
+
+ store_coordinates(out, offset, center_x, center_y, box_width, box_height, img_width, img_height);
+ offset += 4;
+ }
}
- }
- // set the variance
- out = reinterpret_cast<float *>(_output->ptr_to_element(Coordinates(id.x(), 1)));
- float32x4_t var;
- if(_info.variances().size() == 1)
- {
- var = vdupq_n_f32(_info.variances().at(0));
- }
- else
- {
- const float32x4_t vars = { _info.variances().at(0), _info.variances().at(1), _info.variances().at(2), _info.variances().at(3) };
- var = vars;
- }
- for(int i = 0; i < num_priors; ++i)
- {
- vst1q_f32(out + 4 * i, var);
- }
- },
- output);
+ // set the variance
+ out = reinterpret_cast<float *>(_output->ptr_to_element(Coordinates(id.x(), 1)));
+ float32x4_t var;
+ if (_info.variances().size() == 1)
+ {
+ var = vdupq_n_f32(_info.variances().at(0));
+ }
+ else
+ {
+ const float32x4_t vars = {_info.variances().at(0), _info.variances().at(1), _info.variances().at(2),
+ _info.variances().at(3)};
+ var = vars;
+ }
+ for (int i = 0; i < num_priors; ++i)
+ {
+ vst1q_f32(out + 4 * i, var);
+ }
+ },
+ output);
}
-void NEPriorBoxLayerKernel::configure(const ITensor *input1, const ITensor *input2, ITensor *output, const PriorBoxLayerInfo &info)
+void NEPriorBoxLayerKernel::configure(const ITensor *input1,
+ const ITensor *input2,
+ ITensor *output,
+ const PriorBoxLayerInfo &info)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output);
@@ -215,7 +232,10 @@ void NEPriorBoxLayerKernel::configure(const ITensor *input1, const ITensor *inpu
INEKernel::configure(win);
}
-Status NEPriorBoxLayerKernel::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const PriorBoxLayerInfo &info)
+Status NEPriorBoxLayerKernel::validate(const ITensorInfo *input1,
+ const ITensorInfo *input2,
+ const ITensorInfo *output,
+ const PriorBoxLayerInfo &info)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input1, input2, output);
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input1, input2, output, info));
@@ -231,4 +251,4 @@ void NEPriorBoxLayerKernel::run(const Window &window, const ThreadInfo &info)
// Run function
calculate_prior_boxes(window);
}
-} // namespace arm_compute \ No newline at end of file
+} // namespace arm_compute