ao/CODEOWNERS at main · pytorch/ao · GitHub

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# Default owners for the repo
* @jerryzh168 @vkuzo @andrewor14

# Quantization
/torchao/quantization/ @jerryzh168 @andrewor14 @vkuzo

# Float8 / Low-precision training
/torchao/float8/ @vkuzo @jerryzh168 @andrewor14

# Prototype: MX formats and MoE training
/torchao/prototype/mx_formats/ @drisspg @jerryzh168 @vkuzo @andrewor14
/torchao/prototype/moe_training/ @jerryzh168 @vkuzo @andrewor14

# Sparsity
/torchao/sparsity/ @jerryzh168 @vkuzo @andrewor14

# Optimizers
/torchao/optim/ @gau-nernst @jerryzh168 @vkuzo @andrewor14

# Experimental / Edge
/torchao/experimental/ @metascroy @jerryzh168 @vkuzo @andrewor14

# Kernels
/torchao/kernel/ @jerryzh168 @vkuzo @andrewor14
/torchao/csrc/ @jerryzh168 @vkuzo @andrewor14

# Docs
/docs/ @vkuzo @jerryzh168 @andrewor14

# X86
torchao/csrc/cpu/aten_kernels/ @Xia-Weiwen @Valentine233 @jerryzh168 @vkuzo @andrewor14
torchao/prototype/float8_opaque_tensor/ @Xia-Weiwen @jerryzh168 @vkuzo @andrewor14
torchao/prototype/inductor/ @Xia-Weiwen @Valentine233 @jerryzh168 @vkuzo @andrewor14
torchao/prototype/quantization/int4/ @Xia-Weiwen @jerryzh168 @vkuzo @andrewor14
torchao/quantization/pt2e/inductor_passes/ @Xia-Weiwen @jerryzh168 @vkuzo @andrewor14
torchao/quantization/pt2e/quantizer/x86_inductor_quantizer.py @Xia-Weiwen @jerryzh168 @vkuzo @andrewor14

# XPU
/docs/source/pt2e_quantization/pt2e_quant_xpu_inductor.rst  @liangan1 @vkuzo @jerryzh168 @andrewor14
/torchao/quantization/pt2e/quantizer/xpu_inductor_quantizer.py @liangan1 @vkuzo @jerryzh168 @andrewor14
/torchao/quantization/quantize_/workflows/int4/int4_plain_int32_tensor.py @liangan1 @vkuzo @jerryzh168 @andrewor14
.github/scripts/ci_test_xpu.sh @liangan1 @vkuzo @jerryzh168 @andrewor14
.github/workflows/xpu_test.yml @liangan1 @vkuzo @jerryzh168 @andrewor14