mirror of https://github.com/hpcaitech/ColossalAI
[NFC] polish colossalai/kernel/cuda_native/csrc/layer_norm_cuda.cpp code style (#973)
parent
598cde4a0f
commit
136946422b
|
@ -2,11 +2,13 @@
|
|||
* https://github.com/NVIDIA/apex
|
||||
* with minor changes. */
|
||||
|
||||
#include "compat.h"
|
||||
#include <cassert>
|
||||
#include <torch/extension.h>
|
||||
|
||||
#include <cassert>
|
||||
#include <vector>
|
||||
|
||||
#include "compat.h"
|
||||
|
||||
namespace {
|
||||
|
||||
void compute_n1_n2(at::Tensor input, at::IntArrayRef normalized_shape, int &n1,
|
||||
|
@ -65,7 +67,7 @@ void check_args(at::Tensor input, at::IntArrayRef normalized_shape,
|
|||
check_args(input, normalized_shape, n1, n2);
|
||||
check_args(normalized_shape, gamma, beta);
|
||||
}
|
||||
} // namespace
|
||||
} // namespace
|
||||
|
||||
void cuda_layer_norm(at::Tensor *output, at::Tensor *mean, at::Tensor *invvar,
|
||||
at::Tensor *input, int n1, int n2,
|
||||
|
@ -73,17 +75,16 @@ void cuda_layer_norm(at::Tensor *output, at::Tensor *mean, at::Tensor *invvar,
|
|||
at::Tensor *beta, double epsilon);
|
||||
|
||||
#define CHECK_CUDA(x) TORCH_CHECK(x.is_cuda(), #x " must be a CUDA tensor")
|
||||
#define CHECK_CONTIGUOUS(x) \
|
||||
#define CHECK_CONTIGUOUS(x) \
|
||||
TORCH_CHECK(x.is_contiguous(), #x " must be contiguous")
|
||||
#define CHECK_INPUT(x) \
|
||||
CHECK_CUDA(x); \
|
||||
#define CHECK_INPUT(x) \
|
||||
CHECK_CUDA(x); \
|
||||
CHECK_CONTIGUOUS(x)
|
||||
|
||||
std::vector<at::Tensor> layer_norm_affine(at::Tensor input,
|
||||
at::IntArrayRef normalized_shape,
|
||||
at::Tensor gamma, at::Tensor beta,
|
||||
double epsilon) {
|
||||
|
||||
CHECK_INPUT(input);
|
||||
CHECK_INPUT(gamma);
|
||||
CHECK_INPUT(beta);
|
||||
|
@ -109,11 +110,10 @@ void cuda_layer_norm_gradient(at::Tensor *dout, at::Tensor *mean,
|
|||
double epsilon, at::Tensor *grad_input,
|
||||
at::Tensor *grad_gamma, at::Tensor *grad_beta);
|
||||
|
||||
std::vector<at::Tensor>
|
||||
layer_norm_gradient_affine(at::Tensor dout, at::Tensor mean, at::Tensor invvar,
|
||||
at::Tensor input, at::IntArrayRef normalized_shape,
|
||||
at::Tensor gamma, at::Tensor beta, double epsilon) {
|
||||
|
||||
std::vector<at::Tensor> layer_norm_gradient_affine(
|
||||
at::Tensor dout, at::Tensor mean, at::Tensor invvar, at::Tensor input,
|
||||
at::IntArrayRef normalized_shape, at::Tensor gamma, at::Tensor beta,
|
||||
double epsilon) {
|
||||
CHECK_INPUT(dout);
|
||||
CHECK_INPUT(mean);
|
||||
CHECK_INPUT(invvar);
|
||||
|
|
Loading…
Reference in New Issue