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#include <mutex>
#include <mudnn.h>
#include "mudnn.cuh"
namespace mudnn = musa::dnn;
// Returns a human-readable error string for mudnn::Status
const char* mudnnGetErrorString(mudnn::Status err) {
switch (err) {
case mudnn::Status::SUCCESS:
return "Success";
case mudnn::Status::INVALID_PARAMETER:
return "Invalid parameter";
case mudnn::Status::NOT_INITIALIZED:
return "Not initialized";
case mudnn::Status::ALLOC_FAILED:
return "Allocation failed";
case mudnn::Status::NOT_SUPPORTED:
return "Not supported";
case mudnn::Status::INTERNAL_ERROR:
return "Internal error";
case mudnn::Status::ARCH_MISMATCH:
return "Architecture mismatch";
case mudnn::Status::EXECUTION_FAILED:
return "Execution failed";
default:
return "Unknown mudnn status";
}
}
// Error checking macro for MUDNN calls
#define MUDNN_CHECK(err) CUDA_CHECK_GEN(err, mudnn::Status::SUCCESS, mudnnGetErrorString)
namespace {
// Thread-safe cache for mudnn::Handle objects per device
std::unordered_map<int, std::unique_ptr<mudnn::Handle>> handle_cache;
std::mutex handle_cache_mutex;
mudnn::Handle* get_cached_handle(int device_id) {
std::lock_guard<std::mutex> lock(handle_cache_mutex);
auto it = handle_cache.find(device_id);
if (it != handle_cache.end()) {
return it->second.get();
}
auto handle = std::make_unique<mudnn::Handle>(device_id);
mudnn::Handle* handle_ptr = handle.get();
handle_cache[device_id] = std::move(handle);
return handle_ptr;
}
}
// Extracts dimensions and strides from a ggml_tensor
int get_ggml_dims_and_strides(const ggml_tensor* tensor,
std::vector<int64_t>& dims,
std::vector<int64_t>& strides) {
const int ndims = ggml_n_dims(tensor);
const size_t element_size = ggml_element_size(tensor);
dims.resize(ndims);
strides.resize(ndims);
for (int i = 0; i < ndims; ++i) {
dims[i] = tensor->ne[i];
strides[i] = tensor->nb[i] / static_cast<int64_t>(element_size);
}
return ndims;
}
// Converts ggml_type to mudnn::Tensor::Type
mudnn::Tensor::Type ggml_type_to_mudnn_type(ggml_type type) {
switch (type) {
case GGML_TYPE_F32:
return mudnn::Tensor::Type::FLOAT;
case GGML_TYPE_F16:
return mudnn::Tensor::Type::HALF;
// TODO: Add support for other types
default:
MUDNN_CHECK(mudnn::Status::NOT_SUPPORTED);
}
return mudnn::Tensor::Type::FLOAT; // Default fallback
}
// Asynchronous memory copy using mudnn::Unary::IDENTITY
musaError_t mudnnMemcpyAsync(ggml_backend_cuda_context& ctx, const ggml_tensor* dst, const ggml_tensor* src) {
mudnn::Tensor tensor_dst, tensor_src;
MUDNN_CHECK(tensor_dst.SetType(ggml_type_to_mudnn_type(dst->type)));
MUDNN_CHECK(tensor_src.SetType(ggml_type_to_mudnn_type(src->type)));
std::vector<int64_t> dims, strides;
const int ndims = get_ggml_dims_and_strides(src, dims, strides);
MUDNN_CHECK(tensor_dst.SetNdInfo(ndims, dims.data(), strides.data()));
MUDNN_CHECK(tensor_src.SetNdInfo(ndims, dims.data(), strides.data()));
MUDNN_CHECK(tensor_dst.SetAddr(dst->data));
MUDNN_CHECK(tensor_src.SetAddr(src->data));
mudnn::Unary op;
MUDNN_CHECK(op.SetMode(mudnn::Unary::Mode::IDENTITY));
MUDNN_CHECK(op.SetAlpha(0.0f));
MUDNN_CHECK(op.SetBeta(0.0f));
mudnn::Handle* handle = get_cached_handle(ctx.device);
MUDNN_CHECK(handle->SetStream(ctx.stream()));
MUDNN_CHECK(op.Run(*handle, tensor_dst, tensor_src));
return musaSuccess;
}
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