Here's the big files in my /opt/rocm/lib which is most of it: 4.8G hipblaslt 1.6G libdevice_conv_operations.a 2.0G libdevice_gemm_operations.a 1.4G lib

Here's the big files in my /opt/rocm/lib which is most of it: 4.8G hipblaslt 1.6G libdevice_conv_operations.a 2.0G libdevice_gemm_operations.a 1.4G libMIOpen.so.1.0.60200 1.1G librocblas.so.4.2.60200 1.6G librocsolver.so.0.2.60200 1.4G librocsparse.so.1.0.60200 1.5G llvm 3.5G rocblas 2.0G rocfft The biggest one just to pick on one is hipblaslt is "a library that provides general matrix-matrix operations. It has a flexible API that extends functionalities beyond a traditional BLAS library, such as adding flexibility to matrix data layouts, input types, compute types, and algorithmic implementations and heuristics." https://github.com/ROCm/hipBLASLt https://github.com/ROCm/hipBLASLt There are mostly GPU kernels that by themselves aren't so big, but for every single operation x every single supported graphics architecture, eg: 304K TensileLibrary_SS_SS_UA_Type_SS_Contraction_l_Ailk_Bjlk_Cijk_Dijk_gfx942.co 24K TensileLibrary_SS_SS_UA_Type_SS_Contraction_l_Ailk_Bjlk_Cijk_Dijk_gfx942.dat 240K TensileLibrary_SS_SS_UA_Type_SS_Contraction_l_Ailk_Bljk_Cijk_Dijk_gfx942.co 20K TensileLibrary_SS_SS_UA_Type_SS_Contraction_l_Ailk_Bljk_Cijk_Dijk_gfx942.dat 344K TensileLibrary_SS_SS_UA_Type_SS_Contraction_l_Alik_Bljk_Cijk_Dijk_gfx942.co 24K TensileLibrary_SS_SS_UA_Type_SS_Contraction_l_Alik_Bljk_Cijk_Dijk_gfx942.dat