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修复了paddle.unfold的大Tensor问题 #74379

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Merged
merged 1 commit into from
Aug 2, 2025
Merged

修复了paddle.unfold的大Tensor问题 #74379

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8 changes: 4 additions & 4 deletions paddle/phi/kernels/funcs/strided_copy_kernel.cu.h
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Original file line number Diff line number Diff line change
Expand Up @@ -38,7 +38,7 @@ __global__ void Contiguous2StridedCaseOneFunc(
phi::Array<int64_t, phi::DDim::kMaxRank + 1> output_stride,
phi::Array<int64_t, 6> dims,
const int64_t x_max) {
int64_t x = blockIdx.x * blockDim.x + threadIdx.x;
int64_t x = static_cast<int64_t>(blockIdx.x) * blockDim.x + threadIdx.x;
if (x < x_max) {
int64_t input_offset = (blockIdx.z * gridDim.y + blockIdx.y) * x_max + x;
int64_t output_offset = 0;
Expand Down Expand Up @@ -129,7 +129,7 @@ __global__ void Contiguous2StridedCaseOneDiffDimFunc(
phi::Array<int64_t, phi::DDim::kMaxRank + 1> output_stride,
phi::Array<int64_t, 6> dims,
const int64_t x_max) {
int64_t x = blockIdx.x * blockDim.x + threadIdx.x;
int64_t x = static_cast<int64_t>(blockIdx.x) * blockDim.x + threadIdx.x;
if (x < x_max) {
int64_t output_offset = 0;

Expand Down Expand Up @@ -954,8 +954,8 @@ void StrideCopyDiffDimKernel(
const phi::Array<int64_t, phi::DDim::kMaxRank + 1>& output_stride,
const phi::Array<int64_t, phi::DDim::kMaxRank + 1>& output_dims,
int rank,
int input_numel,
int output_numel) {
int64_t input_numel,
int64_t output_numel) {
if (LaunchContiguous2StridedCaseZeroKernel<T, Context>(dev_ctx,
input_data,
output_data,
Expand Down
6 changes: 3 additions & 3 deletions paddle/phi/kernels/gpu/strided_copy_kernel.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -125,7 +125,7 @@ __global__ void StridedCopyCaseOneFunc(
phi::Array<int64_t, phi::DDim::kMaxRank + 1> output_stride,
phi::Array<int64_t, 6> dims,
const int64_t x_max) {
int64_t x = blockIdx.x * blockDim.x + threadIdx.x;
int64_t x = static_cast<int64_t>(blockIdx.x) * blockDim.x + threadIdx.x;
if (x < x_max) {
int64_t input_offset = 0;
int64_t output_offset = 0;
Expand Down Expand Up @@ -720,8 +720,8 @@ void StridedCopyKernel(const Context& dev_ctx,
meta.offset = offset;
out->set_meta(meta);
int rank = out->dims().size();
auto input_numel = input.numel();
auto output_numel = out->numel();
int64_t input_numel = input.numel();
int64_t output_numel = out->numel();
T* output_data = out->data<T>();
PADDLE_ENFORCE_NOT_NULL(output_data,
common::errors::InvalidArgument(
Expand Down