Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Refactor] Replace tin_shift op of MLU backend with mlu-ops #2911

Merged
merged 1 commit into from
Aug 28, 2023
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
307 changes: 0 additions & 307 deletions mmcv/ops/csrc/common/mlu/tin_shift_mlu_kernel.mlu

This file was deleted.

28 changes: 14 additions & 14 deletions mmcv/ops/csrc/pytorch/mlu/focal_loss_sigmoid_mlu.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -14,9 +14,9 @@

#include "mlu_common_helper.h"

void sigmoid_focal_loss_forward_mlu(Tensor input, Tensor target,
Tensor weight, Tensor output,
const float gamma, const float alpha) {
void sigmoid_focal_loss_forward_mlu(Tensor input, Tensor target, Tensor weight,
Tensor output, const float gamma,
const float alpha) {
// params check
TORCH_CHECK(gamma >= 0, "gamma should be greater than or equal to 0. ",
"But now gamma is ", gamma, ".");
Expand Down Expand Up @@ -82,15 +82,15 @@ void sigmoid_focal_loss_forward_mlu(Tensor input, Tensor target,
auto handle = mluOpGetCurrentHandle();

// launch kernel
TORCH_MLUOP_CHECK(mluOpFocalLossSigmoidForward(handle, prefer, reduction, input_desc.desc(),
input_ptr, target_desc.desc(), target_ptr,
weight_desc.desc(), weight_ptr, alpha, gamma,
output_desc.desc(), output_ptr));
TORCH_MLUOP_CHECK(mluOpFocalLossSigmoidForward(
handle, prefer, reduction, input_desc.desc(), input_ptr,
target_desc.desc(), target_ptr, weight_desc.desc(), weight_ptr, alpha,
gamma, output_desc.desc(), output_ptr));
}

void sigmoid_focal_loss_backward_mlu(Tensor input, Tensor target,
Tensor weight, Tensor output,
const float gamma, const float alpha) {
void sigmoid_focal_loss_backward_mlu(Tensor input, Tensor target, Tensor weight,
Tensor output, const float gamma,
const float alpha) {
// params check
TORCH_CHECK(gamma >= 0, "gamma should be greater than or equal to 0. ",
"But now gamma is ", gamma, ".");
Expand Down Expand Up @@ -158,10 +158,10 @@ void sigmoid_focal_loss_backward_mlu(Tensor input, Tensor target,
auto handle = mluOpGetCurrentHandle();

// launch kernel
TORCH_MLUOP_CHECK(mluOpFocalLossSigmoidBackward(handle, prefer, reduction, input_desc.desc(),
input_ptr, target_desc.desc(), target_ptr,
weight_desc.desc(), weight_ptr, alpha, gamma,
output_desc.desc(), output_ptr));
TORCH_MLUOP_CHECK(mluOpFocalLossSigmoidBackward(
handle, prefer, reduction, input_desc.desc(), input_ptr,
target_desc.desc(), target_ptr, weight_desc.desc(), weight_ptr, alpha,
gamma, output_desc.desc(), output_ptr));
}

void sigmoid_focal_loss_forward_impl(Tensor input, Tensor target, Tensor weight,
Expand Down
4 changes: 2 additions & 2 deletions mmcv/ops/csrc/pytorch/mlu/mlu_common_helper.h
Original file line number Diff line number Diff line change
Expand Up @@ -18,8 +18,8 @@
#include "pytorch_device_registry.hpp"

#define MLUOP_MAJOR 0
#define MLUOP_MINOR 7
#define MLUOP_PATCHLEVEL 1
#define MLUOP_MINOR 8
#define MLUOP_PATCHLEVEL 0

/*************************************************************************
* This MACRO contains operations of simple tensor to mlu-tensor.
Expand Down
Loading
Loading