jiayisunx

[Inductor] support masked vectorization for the tail_loop for integer datatypes and bool datatype

1

Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom): * __->__ #128802 * #131745 cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @voznesenskym @penguinwu @EikanWang @Guobing-Chen @zhuhaozhe @blzheng @wenzhe-nrv @peterbell10 @ipiszy @yf225 @chenyang78 @kadeng...

[Inductor] support masked vectorization for the tail_loop for dynamic shapes

1

Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom): * #128802 * __->__ #131745 cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @voznesenskym @penguinwu @EikanWang @Guobing-Chen @zhuhaozhe @blzheng @wenzhe-nrv @ipiszy @yf225 @chenyang78 @kadeng @muchulee8...

[Inductor] Apply loop split optimization in codegen_node

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Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom): * __->__ #132389 This PR applies loop split optimization in codegen_node to avoid non-contiguous load. When the vector is loaded in a non-contiguous manner...

[Inductor] add inductor config: masked_vec

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Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom): * __->__ #134566 This PR adds inductor config: masked_vec to control enable/disable masked vectorization for the tail_loop, and enable by default. cc @voznesenskym @penguinwu...

fix torch.exp for torch.complex datatypes on CPU

1

Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom): * #140391 * __->__ #140358 Fix https://github.com/pytorch/pytorch/issues/48010, https://github.com/pytorch/pytorch/issues/136063. These two issues are caused by the lack of special handling of the case where the...

fix sigmoid for torch.complex datatypes on CPU

2

Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom): * __->__ #140391 * #140358 Fix https://github.com/pytorch/pytorch/issues/135777. cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @ezyang @anjali411 @dylanbespalko @mruberry @nikitaved @amjames

[Inductor] support Conv/Linear + broadcast add fusion

2

Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom): * __->__ #138201 * #141101 cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10 @gujinghui @PenghuiCheng @jianyuh @min-jean-cho @yanbing-j @Guobing-Chen @Xia-Weiwen @snadampal @voznesenskym @penguinwu @EikanWang @zhuhaozhe...

fix torch.div for torch.complex datatypes on CPU

1

Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom): * __->__ #140375 Fix https://github.com/pytorch/pytorch/issues/135428. cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10

[inductor] support linear+binary foldinig for freezing path

2

Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom): * __->__ #138807 cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang @aakhundov

fix torch.acos and torch.asin for torch.complex datatypes on CPU

5

Stack from [ghstack](https://github.com/ezyang/ghstack) (oldest at bottom): * __->__ #134838 Fix https://github.com/pytorch/pytorch/issues/134487, https://github.com/pytorch/pytorch/issues/138327. These two issues are caused by the lack of special handling of the case where the real number/imag...