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Commits on Aug 5, 2022

• add sequence embedding reference implementation (pytorch#1232)

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  jiyuanzFB

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Commits on Aug 4, 2022

• Run CI on pytorch built with CUDA 11.3 (pytorch#1237)

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  mjanderson09

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Commits on Aug 3, 2022

• Print error msg when loading fbgemm_gpu_py.so (pytorch#1235)

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  zhuzilin

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• support multiple CUDA versions (pytorch#1234)

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Commits on Aug 2, 2022

• Update Utils.h (pytorch#1233)

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  jianyuh

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Commits on Aug 1, 2022

• support dense_to_jagged long cpu (pytorch#1229)

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  YazhiGao

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Commits on Jul 30, 2022

• Back out "refactor grad output non-contiguous handler" (pytorch#1225)

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  jianyuh

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Commits on Jul 29, 2022

• Use non-reference blocking parameters for fp32 weights in quantized inference kernel (pytorch#1224)

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  Andrew Tulloch

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• Minor change to quantized comm (pytorch#1226)

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  jianyuh

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Commits on Jul 28, 2022

• Revert D37670913 "[fbgemm] Use std::fma in tail of Fused8BitRowwiseQuantizedSBFloatToFloatOrHalfAvx2" (pytorch#1222)

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  swolchok

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• Update asmjit submodule for OSS (pytorch#1202)

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  jianyuh

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Commits on Jul 26, 2022

• Add Int types in jagged_index_select (pytorch#1218)

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  Sarunya Pumma

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• add optional warmup in benchmark_requests (pytorch#1223)

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  yuguo68

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• refactor grad output non-contiguous handler (pytorch#1215)

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  jianyuh

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• add --no-dkms to install ROCm on CI (pytorch#1220)

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  shintaro-iwasaki

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  51ea00e

• Added quantization codecs to utils (pytorch#1219)

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Commits on Jul 25, 2022

• Extract the quantization utils function in FBGEMM (pytorch#1204)

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  jianyuh

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Commits on Jul 22, 2022

• add long type for jagged op. (pytorch#1214)

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  YazhiGao

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• Daily arc lint --take BLACK

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Commits on Jul 20, 2022

• Optimize the implementation of torch.ops.fbgemm.jagged_dense_elementwise_add_jagged_output() (pytorch#1213)

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  jiecaoyu

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• Use proper type for pooling_mode (pytorch#1211)

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  cgufb

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• Add pooling mode to device bench (pytorch#1194)

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  zhuzilin

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Commits on Jul 19, 2022

• Fix CUDA error when grad_output is contiguous but address is not 16 bytes aligned (pytorch#1212)

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Commits on Jul 15, 2022

• Add ROCm runner (pytorch#1193)

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  liligwu

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• add error msg that embedding_dim must be a multiple of 4 (pytorch#1208)

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  yuguo68

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• Make a few things const (pytorch#1207)

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  r-barnes

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Commits on Jul 13, 2022

• Replace deprecated type() with scalar_type() (pytorch#1206)

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  mjanderson09

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• Bug fix in the "split_table_batch_embeddings_benchmark.py -- nbit-cache" (pytorch#1205)

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  Youngeun Kwon

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• Add nobag kernel for embedding_dim <= 32 (pytorch#1197)

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  zhuzilin

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Commits on Jul 12, 2022

• Generate cpp docs (pytorch#1165)

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  Svetlana Karslioglu

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Commits on Jul 11, 2022

• Enable sparse_ops_test in ROCm build-only CI (pytorch#1196)

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  liligwu

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Commits on Jul 9, 2022

• Clean up asmjit declaration (pytorch#1195)

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  jianyuh

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Commits on Jul 8, 2022

• Use std::fma in tail of Fused8BitRowwiseQuantizedSBFloatToFloatOrHalfAvx2 (pytorch#1191)

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  swolchok

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• Use the new asmjit to fix //deeplearning/fbgemm (pytorch#1077)

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  r-barnes

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Commits on Jul 7, 2022

• Increasing num iterations in jagged_tensor_benchmark (pytorch#1192)

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  mjanderson09

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