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authorZhaoshi Zheng <zhaoshiz@quicinc.com>2024-07-23 21:52:22 -0700
committerGitHub <noreply@github.com>2024-07-23 21:52:22 -0700
commit6942f1d5aa232face8269ce78c4de7d45571a8e9 (patch)
treeb1d31dfde414624d65906cb7aa4c5274549b9908 /lldb/source/Plugins/ScriptInterpreter/Python/Interfaces/ScriptedProcessPythonInterface
parent2ca300f914b1bdeef5f08415bbcbf1803c186401 (diff)
[MLIR][Linalg] Scalable Vectorization of Reduction on the Trailing Dimension (#97788)
Allow scalable vectorization of linalg::reduce and linalg::generic that has reduction iterator(s) with two restrictions: 1. The reduction dim is the last (innermost) dim of the op; and 2. Only the reduction dim is requested for scalable vectorization. One exception is that scalable vectorization of the reduction dim in Matmul-like ops are not supported even above restrictions are met. Allowed combinations of scalable flags and iterator types: Matmul: Iterators: ["parallel", "parallel", "reduction"] Scalable Flags: ["true", "true", "false"] ["false", "true", "false"] Matvec: Iterators: ["parallel", "reduction"] Scalable Flags: ["false", "true"] ["true", "false"]
Diffstat (limited to 'lldb/source/Plugins/ScriptInterpreter/Python/Interfaces/ScriptedProcessPythonInterface')
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