batched_gemm.h

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#pragma once
 
#include "sdfg/codegen/dispatchers/block_dispatcher.h"
#include "sdfg/data_flow/library_nodes/math/blas/batched_gemm_node.h"
 
namespace sdfg::cuda::blas {
 
void generate_kernel_batched_gemm(
    codegen::PrettyPrinter& stream,
    codegen::LanguageExtension& language_extension,
    const math::blas::BatchedGEMMNode& node,
    const std::string& a_name,
    const std::string& b_name,
    const std::string& c_name,
    const std::string& alpha_name,
    const std::string& beta_name
);
 
class BatchedGEMMNodeDispatcher_CUBLASWithTransfers : public codegen::LibraryNodeDispatcher {
public:
    BatchedGEMMNodeDispatcher_CUBLASWithTransfers(
        codegen::LanguageExtension& language_extension,
        const Function& function,
        const data_flow::DataFlowGraph& data_flow_graph,
        const math::blas::BatchedGEMMNode& node
    );
 
    void dispatch_code_with_edges(
        codegen::CodegenOutput& out,
        std::vector<codegen::DispatchInput>& inputs,
        std::vector<codegen::DispatchOutput>& outputs
    ) override;
 
    codegen::InstrumentationInfo instrumentation_info() const override;
};
 
class BatchedGEMMNodeDispatcher_CUBLASWithoutTransfers : public codegen::LibraryNodeDispatcher {
public:
    BatchedGEMMNodeDispatcher_CUBLASWithoutTransfers(
        codegen::LanguageExtension& language_extension,
        const Function& function,
        const data_flow::DataFlowGraph& data_flow_graph,
        const math::blas::BatchedGEMMNode& node
    );
 
    void dispatch_code_with_edges(
        codegen::CodegenOutput& out,
        std::vector<codegen::DispatchInput>& inputs,
        std::vector<codegen::DispatchOutput>& outputs
    ) override;
 
    codegen::InstrumentationInfo instrumentation_info() const override;
};
 
} // namespace sdfg::cuda::blas