105 lines
3.0 KiB
Plaintext
105 lines
3.0 KiB
Plaintext
#include "TransposeExecution.hpp"
|
|
#include "core/MusaBackend.hpp"
|
|
|
|
namespace MNN {
|
|
namespace MUSA {
|
|
|
|
template<typename T>
|
|
__global__ void TransposeKernel(const T* input, T* output, const int* perm,
|
|
int dims, const int* inputStrides, const int* outputStrides,
|
|
int totalSize) {
|
|
int index = blockIdx.x * blockDim.x + threadIdx.x;
|
|
|
|
if (index < totalSize) {
|
|
int tmp = index;
|
|
int inputIdx = 0;
|
|
|
|
// Decode output index to multi-dimensional index
|
|
for (int i = dims - 1; i >= 0; i--) {
|
|
int coord = tmp % outputStrides[i];
|
|
tmp /= outputStrides[i];
|
|
inputIdx += coord * inputStrides[perm[i]];
|
|
}
|
|
|
|
output[index] = input[inputIdx];
|
|
}
|
|
}
|
|
|
|
TransposeExecution::TransposeExecution(const std::vector<Tensor*>& inputs, const MNN::Op* op, Backend* backend)
|
|
: Execution(inputs, {}, backend) {
|
|
mBackend = static_cast<MusaBackend*>(backend);
|
|
mOp = op->main_as_Transpose();
|
|
}
|
|
|
|
ErrorCode TransposeExecution::onResize(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs) {
|
|
auto input = inputs[0];
|
|
auto output = outputs[0];
|
|
|
|
mDims = input->dimensions();
|
|
mTotalSize = 1;
|
|
for (int i = 0; i < mDims; i++) {
|
|
mTotalSize *= input->length(i);
|
|
}
|
|
|
|
// Compute strides
|
|
mInputStrides.resize(mDims);
|
|
mOutputStrides.resize(mDims);
|
|
|
|
int inputStride = 1;
|
|
int outputStride = 1;
|
|
for (int i = mDims - 1; i >= 0; i--) {
|
|
mInputStrides[i] = inputStride;
|
|
mOutputStrides[i] = outputStride;
|
|
inputStride *= input->length(i);
|
|
outputStride *= output->length(i);
|
|
}
|
|
|
|
// Get perm
|
|
auto permData = mOp->perm();
|
|
mPerm.resize(mDims);
|
|
for (int i = 0; i < mDims; i++) {
|
|
mPerm[i] = (i < permData->size()) ? permData->Get(i) : (mDims - 1 - i);
|
|
}
|
|
|
|
int threads = 256;
|
|
int blocks = (mTotalSize + threads - 1) / threads;
|
|
|
|
mDim3Grid = {blocks, 1, 1};
|
|
mDim3Block = {threads, 1, 1};
|
|
|
|
return NO_ERROR;
|
|
}
|
|
|
|
ErrorCode TransposeExecution::onExecute(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs) {
|
|
auto input = inputs[0];
|
|
auto output = outputs[0];
|
|
|
|
auto inputPtr = input->host<float>();
|
|
auto outputPtr = output->host<float>();
|
|
|
|
TransposeKernel<<<mDim3Grid, mDim3Block>>>(
|
|
inputPtr, outputPtr, mPerm.data(),
|
|
mDims, mInputStrides.data(), mOutputStrides.data(),
|
|
mTotalSize
|
|
);
|
|
|
|
musaError_t err = musaGetLastError();
|
|
if (err != musaSuccess) {
|
|
return COMPUTE_NO_SUPPORT;
|
|
}
|
|
|
|
return NO_ERROR;
|
|
}
|
|
|
|
class TransposeCreator : public Creator {
|
|
public:
|
|
virtual Execution* onCreate(const std::vector<Tensor*>& inputs, const MNN::Op* op, Backend* backend) const override {
|
|
return new TransposeExecution(inputs, op, backend);
|
|
}
|
|
};
|
|
|
|
MNNCreatorRegister<TransposeCreator> gTransposeRegistration(OpType_Transpose);
|
|
|
|
} // namespace MUSA
|
|
} // namespace MNN
|