Apply clang-format on repository
Code is formatted as per a revised clang format configuration
file(not part of this delivery). Version 14.0.6 is used.
Exclusion List:
- files with .cl extension
- files that are not strictly C/C++ (e.g. Android.bp, Sconscript ...)
And the following directories
- compute_kernel_writer/validation/
- tests/
- include/
- src/core/NEON/kernels/convolution/
- src/core/NEON/kernels/arm_gemm/
- src/core/NEON/kernels/arm_conv/
- data/
There will be a follow up for formatting of .cl files and the
files under tests/ and compute_kernel_writer/validation/.
Signed-off-by: Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>
Change-Id: Ib7eb1fcf4e7537b9feaefcfc15098a804a3fde0a
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10391
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
diff --git a/src/core/AccessWindowTranspose.cpp b/src/core/AccessWindowTranspose.cpp
index d8bd4c4..42f0081 100644
--- a/src/core/AccessWindowTranspose.cpp
+++ b/src/core/AccessWindowTranspose.cpp
@@ -29,9 +29,12 @@
using namespace arm_compute;
-ValidRegion AccessWindowTranspose::compute_valid_region(const Window &window, ValidRegion input_valid_region, bool border_undefined, BorderSize border_size) const
+ValidRegion AccessWindowTranspose::compute_valid_region(const Window &window,
+ ValidRegion input_valid_region,
+ bool border_undefined,
+ BorderSize border_size) const
{
- if(_info == nullptr)
+ if (_info == nullptr)
{
return input_valid_region;
}
@@ -41,7 +44,7 @@
Coordinates old_anchor(anchor);
TensorShape old_shape(shape);
- if(!border_undefined)
+ if (!border_undefined)
{
border_size = BorderSize(0);
}
@@ -53,7 +56,7 @@
// the kernel to write back output values.
// As the relation between input and output is transposed window.y() is
// used for x anchor and window.x() for y anchor.
- if(_info->dimension(0) > 1)
+ if (_info->dimension(0) > 1)
{
anchor.set(0, std::max<int>(window.y().start() * _scale_x, anchor[1] + border_size.top) + _x);
}
@@ -69,15 +72,19 @@
// a size of the region.
// As the relation between input and output is transposed window.y() is
// used for x shape and window.x() for y shape.
- if(_info->dimension(0) > 1)
+ if (_info->dimension(0) > 1)
{
- shape.set(0, std::min<int>((old_anchor[1] + old_shape[0]) * _scale_x - border_size.right, (window.y().end() - window.y().step()) * _scale_x + _width) - anchor[0]);
+ shape.set(0, std::min<int>((old_anchor[1] + old_shape[0]) * _scale_x - border_size.right,
+ (window.y().end() - window.y().step()) * _scale_x + _width) -
+ anchor[0]);
}
- shape.set(1, std::min<int>((old_anchor[0] + old_shape[1]) * _scale_y - border_size.bottom, (window.x().end() - window.x().step()) * _scale_y + _height) - anchor[1]);
+ shape.set(1, std::min<int>((old_anchor[0] + old_shape[1]) * _scale_y - border_size.bottom,
+ (window.x().end() - window.x().step()) * _scale_y + _height) -
+ anchor[1]);
// For higher dimensions use the intersection of the window size and the
// valid region of the input
- for(size_t d = 2; d < _info->num_dimensions(); ++d)
+ for (size_t d = 2; d < _info->num_dimensions(); ++d)
{
anchor.set(d, std::max(window[d].start(), input_valid_region.anchor[d]));
shape.set(d, std::min<int>(window[d].end(), input_valid_region.shape[d]) - anchor[d]);
@@ -89,7 +96,7 @@
bool AccessWindowTranspose::update_window_if_needed(Window &window) const
{
// Only update the window size if we can't use padding
- if(_info == nullptr || _info->is_resizable())
+ if (_info == nullptr || _info->is_resizable())
{
return false;
}
@@ -107,12 +114,12 @@
const int max_y = window.x().end() * _scale_y + _y;
// Adjust window start for output's Y dimension (so X in (input) window)
- if(min_y < 0)
+ if (min_y < 0)
{
// Calculate rows available above the tensor
const int front_pad_y_available = -offset_first_element / strides[1];
- if(min_y < front_pad_y_available)
+ if (min_y < front_pad_y_available)
{
// Not enough padding available, need to shrink the window
const int start = adjust_up(min_y, front_pad_y_available, window.x().step() * _scale_y) - _y;
@@ -126,17 +133,18 @@
}
// Adjust window end for Y dimension
- if(max_y > static_cast<int>(shape[1]))
+ if (max_y > static_cast<int>(shape[1]))
{
const int stride_z = _info->num_dimensions() > 2 ? strides[2] : _info->total_size();
// Calculate rows available below the tensor
const int tail_pad_y_available = (stride_z / strides[1]) - shape[1] - front_pad_y;
- if(static_cast<int>(shape[1]) + tail_pad_y_available < max_y)
+ if (static_cast<int>(shape[1]) + tail_pad_y_available < max_y)
{
// Not enough padding available, need to shrink the window
- const int end = adjust_down(max_y, shape[1] + tail_pad_y_available, window.x().step() * _scale_y) + window.x().step() * _scale_y - _y - _height;
+ const int end = adjust_down(max_y, shape[1] + tail_pad_y_available, window.x().step() * _scale_y) +
+ window.x().step() * _scale_y - _y - _height;
window.set(0, Window::Dimension(window.x().start(), end / _scale_y, window.x().step()));
window_modified = true;
}
@@ -151,11 +159,14 @@
const int stride_y = _info->num_dimensions() > 1 ? strides[1] : _info->total_size();
// Adjust window start for X dimension
- if(min_x < 0)
+ if (min_x < 0)
{
- const int front_pad_x_available = -std::min<int>(static_cast<int>(offset_first_element) - front_pad_y * strides[1], stride_y - shape[0] * strides[0]) / static_cast<int>(strides[0]);
+ const int front_pad_x_available =
+ -std::min<int>(static_cast<int>(offset_first_element) - front_pad_y * strides[1],
+ stride_y - shape[0] * strides[0]) /
+ static_cast<int>(strides[0]);
- if(min_x < front_pad_x_available)
+ if (min_x < front_pad_x_available)
{
// Not enough padding available, need to shrink the window
const int start = adjust_up(min_x, front_pad_x_available, window.y().step() * _scale_x) - _x;
@@ -168,14 +179,15 @@
}
// Adjust window end for X dimension
- if(max_x > static_cast<int>(shape[0]))
+ if (max_x > static_cast<int>(shape[0]))
{
const int tail_pad_x_available = (stride_y / strides[0]) - shape[0] - front_pad_x;
- if(static_cast<int>(shape[0]) + tail_pad_x_available < max_x)
+ if (static_cast<int>(shape[0]) + tail_pad_x_available < max_x)
{
// Not enough padding available, need to shrink the window
- const int end = adjust_down(max_x, shape[0] + tail_pad_x_available, window.y().step() * _scale_x) + window.y().step() * _scale_x - _x - _width;
+ const int end = adjust_down(max_x, shape[0] + tail_pad_x_available, window.y().step() * _scale_x) +
+ window.y().step() * _scale_x - _x - _width;
window.set(1, Window::Dimension(window.y().start(), end / _scale_x, window.y().step()));
window_modified = true;
}
@@ -189,7 +201,7 @@
bool AccessWindowTranspose::update_padding_if_needed(const Window &window)
{
// Only update the padding if the tensor allows it
- if(_info == nullptr || !_info->is_resizable())
+ if (_info == nullptr || !_info->is_resizable())
{
return false;
}