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/external/ComputeLibrary/examples/gemm_tuner/
DGemmTuner.py46 class GEMMParam(NamedTuple): class
195 gemm_param: GEMMParam
233 Tuple[GEMMParam, Strategy], List[Tuple[GEMMConfig, Measurement]]
283 all_results: Dict[GEMMParam, List[Tuple[Strategy, Measurement]]] = defaultdict(
287 best_strategies: Dict[GEMMParam, Strategy] = {}
385 GEMMConfig, List[Tuple[GEMMParam, Measurement]]
454 GEMMParam._fields[:-1] + GEMM_CONFIG_FACTORY[strategy]._fields,
517 gemm_param_fields_len = len(GEMMParam._fields) - 1
518 gemm_param = GEMMParam.parse_from_strs(
DREADME.md16 The inputs to the Tuner are a list of 4 valued tuples we call **GEMM shape** or **GEMMParam** (M, N…
24 1. gemm_type_selection.json: selects which kernel type is the best for each GEMMParam
25 …_config_native.json: selects a list of best **GEMMConfigs** of the native kernel for each GEMMParam
26 …onlyrhs.json: selects a list of best GEMMConfigs of the reshaped_only_rhs kernel for each GEMMParam
27 …_config_reshaped.json: selects a list of best GEMMConfigs of the reshaped kernel for each GEMMParam
29 …current representations we use for what we call the **heuristics** of a GEMM op: given a GEMMParam,
81 …ce is that the config heuristics might give more than 1 recommendations for each GEMMParam, because
93 …A csv file containing the **GEMMParam search list**. This is the list of GEMMParams/gemm shapes th…