Add NEON implementation of Fused8BitRowwiseQuantizedSBFloatToFloatOrHalf #3707
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…alf (pytorch#3707) Summary: X-link: facebookresearch/FBGEMM#789 QuantUtilsNeon.cc has been introduced, Fused8BitRowwiseQuantizedSBFloatToFloatOrHalfNeon implemented as first function We have observed a ~x12 performance improvement for the downcasting case. The case where a float32_t is returned maintains the same speed: Full results: before: P1732996851 after: P1732996401 Differential Revision: D69573878
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…alf (pytorch#3707) Summary: X-link: facebookresearch/FBGEMM#789 QuantUtilsNeon.cc has been introduced, Fused8BitRowwiseQuantizedSBFloatToFloatOrHalfNeon implemented as first function We have observed a ~x12 performance improvement for the downcasting case. The case where a float32_t is returned maintains the same speed: Full results: before: P1732996851 after: P1732996401 Differential Revision: D69573878
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…alf (pytorch#3707) Summary: X-link: facebookresearch/FBGEMM#789 QuantUtilsNeon.cc has been introduced, Fused8BitRowwiseQuantizedSBFloatToFloatOrHalfNeon implemented as first function We have observed a ~x12 performance improvement for the downcasting case. The case where a float32_t is returned maintains the same speed: Full results: before: P1732996851 after: P1732996401 Differential Revision: D69573878
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…alf (pytorch#3707) Summary: X-link: facebookresearch/FBGEMM#789 QuantUtilsNeon.cc has been introduced, Fused8BitRowwiseQuantizedSBFloatToFloatOrHalfNeon implemented as first function We have observed a ~x12 performance improvement for the downcasting case. The case where a float32_t is returned maintains the same speed: Full results: before: P1732996851 after: P1732996401 Differential Revision: D69573878
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…alf (pytorch#3707) Summary: X-link: facebookresearch/FBGEMM#789 QuantUtilsNeon.cc has been introduced, Fused8BitRowwiseQuantizedSBFloatToFloatOrHalfNeon implemented as first function We have observed a ~x12 performance improvement for the downcasting case. The case where a float32_t is returned maintains the same speed: Full results: before: P1732996851 after: P1732996401 Differential Revision: D69573878
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…alf (pytorch#3707) Summary: X-link: facebookresearch/FBGEMM#789 QuantUtilsNeon.cc has been introduced, Fused8BitRowwiseQuantizedSBFloatToFloatOrHalfNeon implemented as first function We have observed a ~x12 performance improvement for the downcasting case. The case where a float32_t is returned maintains the same speed: Full results: before: P1732996851 after: P1732996401 Differential Revision: D69573878
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Summary: X-link: facebookresearch/FBGEMM#788 We are adding this benchmark to measure performance of Fused8BitRowwiseQuantizedSBFloatToFloatOrHalf Differential Revision: D69670176
…alf (pytorch#3707) Summary: X-link: facebookresearch/FBGEMM#789 QuantUtilsNeon.cc has been introduced, Fused8BitRowwiseQuantizedSBFloatToFloatOrHalfNeon implemented as first function We have observed a ~x12 performance improvement for the downcasting case. The case where a float32_t is returned maintains the same speed: Full results: before: P1732996851 after: P1732996401 Differential Revision: D69573878
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Summary:
QuantUtilsNeon.cc has been introduced, Fused8BitRowwiseQuantizedSBFloatToFloatOrHalfNeon implemented as first function
We have observed a ~x12 performance improvement for the downcasting case.
The case where a float32_t is returned maintains the same speed:
Full results:
before:
P1732996851
after:
P1732996401
Differential Revision: D69573878