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2026-07-13 13:33:03 +08:00

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#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