torchao/__init__.py,sha256=K128slHwL5spE0A3xUweaxJPYowLnpHKN115wgkInLA,1804
torchao/_executorch_ops.py,sha256=hClgcwl_p0JR4ibWRfalg1fX6lMiu7N0JeLKKhBLBNg,4025
torchao/ops.py,sha256=iy3dYjXkNjlP81Lxk-v9UztGU8ysE25xUIIrmINVWo8,37461
torchao/utils.py,sha256=OArmGo6w1GGy9PiXBksGluel_miasGTid9h131Q77q4,24540
torchao/_models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/_models/_eval.py,sha256=J7XFc3z6qFO1ZD1-ZvbL2Hgq9E1cVLh7-tVQ7tCOYsM,6312
torchao/_models/utils.py,sha256=HNXEKcXnGljKsgoLpgE70pMrChwCPp3ZQ5e4fEsXnYI,3926
torchao/_models/llama/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/_models/llama/eval.py,sha256=45q1LTEQ_Z7osrEUyb-b4sP8JuInemaSTn7Wg8XQ8nY,13164
torchao/_models/llama/generate.py,sha256=qRS-i8MzUqBXJE6LBxzQYDS2SO4NwFLXpRyusW9k1ok,46870
torchao/_models/llama/model.py,sha256=GZv52e2fRupl778Mu4mk0qLQmBypfmLCpR74eAOm8aI,19161
torchao/_models/llama/tokenizer.py,sha256=7hFUQauiOtSrAGWHAKuW9VKIGX2s0ODd3cmQowi1FW8,4063
torchao/_models/sam2/__init__.py,sha256=z6OTHyW2onIgv_53z1tDOAjuMwbiMqqC6poSnILrYDo,411
torchao/_models/sam2/automatic_mask_generator.py,sha256=UQgAoRgCJTxCn1yXT-ydNsVj4A5z2B5Q4UaiA_F2F6I,31525
torchao/_models/sam2/build_sam.py,sha256=vT-Y_HI3726eOgtD4N98o41IJ4iu3odf2B_N1gXpK3c,6196
torchao/_models/sam2/map_tensor.py,sha256=8NjdekxjwV52FYmVG1OthX23SZamEARJHWf7GVDME7M,26784
torchao/_models/sam2/sam2_image_predictor.py,sha256=9UIVuSPSEVR0cR2DAbT617nlVJIjeotjQJ2T0J1N6M8,25084
torchao/_models/sam2/sam2_video_predictor.py,sha256=dVbQC2vsFDeF72zxkBYFNoMnOKtjh4X7DmpN-tR4NcM,59469
torchao/_models/sam2/modeling/__init__.py,sha256=NL2AacVHZOe41zp4kF2-ZGcUCi9zFwh1Eo9spNjN0Ko,197
torchao/_models/sam2/modeling/memory_attention.py,sha256=N6OhNDrg1EpIhD8JH3YCMJr41o95zR2JJwfDaouu0Cs,5538
torchao/_models/sam2/modeling/memory_encoder.py,sha256=IenFy6j3x5C9OuZr_EJmOmVAncod5A1ytukBPAGiYf4,5673
torchao/_models/sam2/modeling/position_encoding.py,sha256=hkOT3DHlE5Qdo_qb4U_mutFuEFQcmYBVfRmC-iwp0TE,8490
torchao/_models/sam2/modeling/sam2_base.py,sha256=fVnGoHPFhUXNEFaph-GXuKFfddrB8Ud9HRJyl1C_-BA,47895
torchao/_models/sam2/modeling/sam2_utils.py,sha256=5EwIqtJdMzUkTyyBDkFbD1VtWi8o_sos-LeiF5g_uds,13189
torchao/_models/sam2/modeling/backbones/__init__.py,sha256=NL2AacVHZOe41zp4kF2-ZGcUCi9zFwh1Eo9spNjN0Ko,197
torchao/_models/sam2/modeling/backbones/hieradet.py,sha256=fiWH3A7VZ6fSBb1Kl1mAZxZWbYmJUtafWoFjrGC2nsA,10698
torchao/_models/sam2/modeling/backbones/image_encoder.py,sha256=VKnx9W-eLSLuK_-tbP7h_tsiBg-DSOKHHeNNsVHDbZ0,5172
torchao/_models/sam2/modeling/backbones/utils.py,sha256=hL1IzaGtRo-4wjHQwuuDrVM4ZjPW5j3apu2SnFUhvbo,3053
torchao/_models/sam2/modeling/sam/__init__.py,sha256=NL2AacVHZOe41zp4kF2-ZGcUCi9zFwh1Eo9spNjN0Ko,197
torchao/_models/sam2/modeling/sam/mask_decoder.py,sha256=hJnpg4XkRA3hR_YMFgd_iKFMlwLj4spNxOdJqkpdWz4,13836
torchao/_models/sam2/modeling/sam/prompt_encoder.py,sha256=Q1l73LJmqwu3jQZI5-niuTm-Q1QsdRMX25IrndQD3gI,8463
torchao/_models/sam2/modeling/sam/transformer.py,sha256=Wy9NHtmc4rW3GgV7jitwrJ31zWljEd33a_CcVCIpjJI,13435
torchao/_models/sam2/utils/__init__.py,sha256=NL2AacVHZOe41zp4kF2-ZGcUCi9zFwh1Eo9spNjN0Ko,197
torchao/_models/sam2/utils/amg.py,sha256=cO_N7RjCeDPpCeBSPbS0xaW5D1HH5CM7G3Vp-vcZQkc,19322
torchao/_models/sam2/utils/misc.py,sha256=VqGtJ6nD1-M5ydKbMcxCQBb55zPZq-HIv_SA_Qg-z_M,14047
torchao/_models/sam2/utils/transforms.py,sha256=mtGVqVunNifs7t3ra3_7srA83Dx8f_PT2xkkNqvwgNo,7387
torchao/core/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/core/config.py,sha256=-mktJqhD2tGtYNNBrSdE1s1Oip9vmH2Awd4upxNpCQA,10013
torchao/dtypes/__init__.py,sha256=Ig47Or3GVCzO-_7bOyWew57fQvKAIYR3jgfTxg34hMo,1983
torchao/dtypes/_nf4tensor_api.py,sha256=KXEtWrF76d5z1y908hsZiEcl04BPLK58JrqGTJR2YFo,1148
torchao/dtypes/affine_quantized_tensor.py,sha256=hSIREvu9fDuk2fXoFZpNo09hGwvw1sA3BtBHzERNFHw,24217
torchao/dtypes/affine_quantized_tensor_ops.py,sha256=yqTYaTCZw-8ykdvhavErp1mtnzxwgNTGb9V12Kk44u4,21279
torchao/dtypes/fbgemm_fp8_tensor.py,sha256=l1Vpbu8aduKgxqufRE713SzZNJ_by9jCny5y77xyBog,8216
torchao/dtypes/fbgemm_int4_tensor.py,sha256=mWg96AAU5SKntaHlMT7LVWo3-BrqUoAtUfpOe7JurT0,9352
torchao/dtypes/nf4tensor.py,sha256=anSNs6clhw02F_4VcqM61gzayMb9ObqEZGuSEgmAj54,40011
torchao/dtypes/utils.py,sha256=XlcmhZjDQ-5ujjpSm1DC7CNbtIj1GsyK78NcGqjwVAI,5146
torchao/dtypes/floatx/__init__.py,sha256=skQerWXejGw9qXPJECVoKc37v4vB0vjW2rLaae5qg0A,388
torchao/dtypes/floatx/cutlass_semi_sparse_layout.py,sha256=QFzS6Ptx5GaS-zwe4-H9KO4pvHUT0G11C5wO_VNKGhA,7026
torchao/dtypes/floatx/float8_layout.py,sha256=HuM3XQjdOk2MWR2Zp0lz6l-3h2NEe6Y4I4AkzJxCLO4,14861
torchao/dtypes/floatx/floatx_tensor_core_layout.py,sha256=S2_9Whym_AVZEdJz7X7NiBt95XWcVaLT3yp3hV76WwA,19964
torchao/dtypes/uintx/__init__.py,sha256=1x0rzZCGa1wQWU1ZhEJcjKlDKr3DsSQyZTve9y43N3I,1252
torchao/dtypes/uintx/bitpacking.py,sha256=jwavloc8IAJbR-RQJBKfYzagYFrJjehAd6XdzjzLrnk,8355
torchao/dtypes/uintx/block_sparse_layout.py,sha256=TjzXe5RlIyQUJvcKHyFtELHE3OSWG0wsVrtlhSnyZRs,7400
torchao/dtypes/uintx/cutlass_int4_packed_layout.py,sha256=s5nxCTGDaHCdgPJsNqdc_HQbcA4D5XzfUjd39Mmy4cY,7556
torchao/dtypes/uintx/dyn_int8_act_int4_wei_cpu_layout.py,sha256=Q5wcdVBsLBlBv8Ov4x18eUDHvHrGxfWIvzXQQWJAtI8,11069
torchao/dtypes/uintx/gemlite_layout.py,sha256=SJxJS7ulzX7cQgPsfSCr2Hy1K5pkH2a8a7BMAUPupgI,15841
torchao/dtypes/uintx/int4_cpu_layout.py,sha256=eNRvZBuc0ug5vZ_3EN3NXcYaa4FdjwsexoxnpjlcufM,12601
torchao/dtypes/uintx/int4_xpu_layout.py,sha256=tAs9GCry1rxGyeBQxtYI0nT00xgI8sjf4wEldbavS6U,17107
torchao/dtypes/uintx/marlin_qqq_tensor.py,sha256=HZHgBAbeCFBatChhHcEjhd6jSoYavq5GRf6dCMlTwAI,11776
torchao/dtypes/uintx/marlin_sparse_layout.py,sha256=3Gu4093VofuDMLBMZdwuI3gK88L0ILvq5BX-bpDY_vE,10387
torchao/dtypes/uintx/packed_linear_int8_dynamic_activation_intx_weight_layout.py,sha256=tvQISORGYZF8qK5RbsxZiociIKL-s_IbsUOxAczW6HI,16235
torchao/dtypes/uintx/plain_layout.py,sha256=iUyvJGoJJQxsKssUvVagOoaT3EEkvdiHltnyozeSulQ,11154
torchao/dtypes/uintx/q_dq_layout.py,sha256=ps4nBaPJk3ZrbF10FYe8B2jCRVI5OeP4i_yWKyNsm5g,8147
torchao/dtypes/uintx/semi_sparse_layout.py,sha256=8ZNKgV1QeCjEg8NA6bbc-Zc_UNjhVCtkyMpk88CD3XE,4509
torchao/dtypes/uintx/tensor_core_tiled_layout.py,sha256=JxDaUWf3sA39OnYpViwZnZsTx1HN8febxS1DtNRHTIc,20105
torchao/dtypes/uintx/uint4_layout.py,sha256=x2aaZ4m2GzQlhcarpHf1z4X43guxFmAbZ5qEUOlaLsg,11729
torchao/dtypes/uintx/uintx_layout.py,sha256=W6f52BCzH5qmbTspg8IUriJCeEmkxg-ILuZQQNB2J1M,8129
torchao/experimental/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/experimental/op_lib.py,sha256=-wETulbgC6O2BW5EVaC59Ge5KgOyaxZX56ct4gA1a9U,2676
torchao/experimental/op_lib_utils.py,sha256=1wdNxaT_N-pN9q2ERV8YyDHoh565TI3gRRTvCF2WxRU,641
torchao/experimental/packed_linear_int8_dynamic_activation_intx_weight_layout.py,sha256=LL9yRJxViTh2S3yxJlFTB6GL0gB3u3_8L0dyJdTf_94,802
torchao/experimental/q_dq_layout.py,sha256=VpF4W9H-DNT_xgG1CXGz54wjsXrAs9SXDJhzeZuNqfs,534
torchao/experimental/quant_api.py,sha256=ApVL6zbOHhydNrRGTafSuNz_tzaT2CpniBwFuAL-ujw,23273
torchao/experimental/quant_passes.py,sha256=ru6uM4n33o7-YafTP9B01Nb_8AazwKt3Kwe6EGym6Ho,11065
torchao/experimental/temp_build.py,sha256=NkCDawsACOeIwjk-rpKNrYFilFTJbcuLMtgQcN5TpM0,1378
torchao/float8/__init__.py,sha256=b9jI_FmEoRCQh_ke24SqHPrlVQj3zUDjokICYzMLdM4,1413
torchao/float8/config.py,sha256=vXVK-SPi-WDy2nIoNfYhz2lVsAEBTetgfSKvlAXjFJg,13683
torchao/float8/distributed_utils.py,sha256=FBL_Z4JpNm0abdQsgqaN7nKp32BG-BDmK6sfa2fgEOU,955
torchao/float8/float8_linear.py,sha256=jv5632R_3Unugh9TnrMIEZ6xrs_8JmZXf-KKWTQ4MyA,16252
torchao/float8/float8_linear_utils.py,sha256=M85O4cJZHYvQXTB6va2OO5qSGbADWzM_dPYQycIgbHI,7240
torchao/float8/float8_ops.py,sha256=f5CrZNAbXadlRdulhBdkfx9wCef4S42MpoUZjfOpeyo,19117
torchao/float8/float8_scaling_utils.py,sha256=PXGDYVIa12txbK2RcoOKQ-O2PIDubxzGOe-h7-pFUPo,3776
torchao/float8/float8_tensor.py,sha256=PLVt0nr5j4mfsBY474Guf4-K_vvfuZ4sEJA0J7pY0fk,14624
torchao/float8/float8_tensor_parallel.py,sha256=YCNEXorZxXygAG1246u5od0vTyY2y8-_SRTRAM79aLk,10371
torchao/float8/float8_utils.py,sha256=XsetP4S8eiug3gsa7aK0IUqSpQDflB98n6SyJAJuMWk,8017
torchao/float8/fsdp_utils.py,sha256=npZ4JECXmPuik_XL6JMVDXwlDqt9sgsfjgDPqe1T-po,9772
torchao/float8/inference.py,sha256=QWkgVuM31usqtAt7eegjoDUthNkmkGmN8iAyc0KEWkI,5610
torchao/float8/types.py,sha256=LdThEI-YzUJSzhZPqqXjs6euHE5o2V85X6xC4f8xwIg,540
torchao/kernel/__init__.py,sha256=g8AiKMg-Ti70sP1241jLsQ9_dwXvfmfIwIS7ZrKm-Bc,204
torchao/kernel/autotuner.py,sha256=TVtIriPujhXKAHHJQuScUEpPm-qaf8BSdGxxxsIEADA,7581
torchao/kernel/bsr_triton_ops.py,sha256=M0rBXpX-HpykDDyXUG33lmsQ-B7rqL4VUMHYDZ0O3Lc,21895
torchao/kernel/intmm.py,sha256=98KkptMTiRShlxpcrxqY85CWRo0cxK3jQREwaqBhHpo,6228
torchao/kernel/intmm_triton.py,sha256=VX0299ZrAJnSqdi9wIGMAMqtmjxkCVzUcqmblBjUvMA,12193
torchao/optim/__init__.py,sha256=xxi38BPesjIo6GMfQAz5jyrshOBdTTcH024NsGSK2CM,284
torchao/optim/adam.py,sha256=i2Hofy9rdrpO-0Rn3-Ka30Xh14WLPfWNiOl5otJ8mV8,12381
torchao/optim/cpu_offload.py,sha256=a_89rHgA1-83UlPh8guksnqZysaZ8VoNr4BtYV2DR9c,7334
torchao/optim/quant_utils.py,sha256=dP4_30m56YR8wKiSY68dQnCHijgrWDaWhoQnqTmIAPs,5760
torchao/optim/subclass_4bit.py,sha256=Tw5Oc6co9Fi5_Zo-C287_y6Nk1HqzFCNxPwm3fO4q4Q,9591
torchao/optim/subclass_8bit.py,sha256=Q2VPctTFYl2U2Jdj9xpj-6aWAsOllXYp5xwwEpfbnVI,8074
torchao/optim/subclass_fp8.py,sha256=4dKCDLQez-9Mhm4Cb4FtArQEyzJuEe2ZhT0AozyPGDc,6678
torchao/prototype/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/custom_fp_utils.py,sha256=3o60B3UQaE-bfAP2vkjy2uHRmcNblT7MSgis9yeCll0,8337
torchao/prototype/autoround/__init__.py,sha256=Q5FGD2VVzmd5sY576C0kvoZt2umUrIH5_evYxhP1hK4,284
torchao/prototype/autoround/autoround_llm.py,sha256=-9uWqEoYWP3m21micCvuWICu6PMy6neu_DrokCi9jc4,6267
torchao/prototype/autoround/core.py,sha256=JtBpNoKxATxOPU0ZpllU48r8AXgIMyiAiynKUQtyxmk,14773
torchao/prototype/autoround/eval_autoround.py,sha256=EZ0HbLRJ_B5HyxcXyRzSQE0LlFjAz11bjQL5UU9rveg,9331
torchao/prototype/autoround/multi_tensor.py,sha256=Uim-HBVea4dihKlY1ToEjKj5DXrEr2DWXXTT_X2W0bM,7063
torchao/prototype/autoround/utils.py,sha256=NCZBCiszbsp1ZAYkKVoIDdcpN0JiLM7f4lDcg3OWi_E,6215
torchao/prototype/awq/__init__.py,sha256=hSlLukiJgu_4T0sRIccVB9IeK5QRoqUgR0IVEVVgHnA,170
torchao/prototype/awq/api.py,sha256=eE1Kgjh1etDXbepuo0g1oqdpioukyGw2-KkAHNaq9d8,7002
torchao/prototype/awq/core.py,sha256=R6Rbxgt8B9IvvHiHDXmkE8X7IJLgD5bCx7mwip0WlR0,6885
torchao/prototype/awq/example.py,sha256=CDvHRu4AQip0xImAtAtRumSUBFVvX-R-MhsDIwShbdw,13172
torchao/prototype/blockwise_fp8/__init__.py,sha256=9fM9svBIp4JqqYJ5TvW3enrnu28zZNzu0JLjVphX-gU,380
torchao/prototype/blockwise_fp8/blockwise_linear.py,sha256=U7kn1DsDXIGjk5wrC38M94CZzjF2MQMcdulxul5N5xM,2484
torchao/prototype/blockwise_fp8/blockwise_quantization.py,sha256=OqYOOrSNb1ZOf2dhNew6lgeE1ZUtMgnNGD44VbpxsoM,10436
torchao/prototype/common/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/common/profiling_tools.py,sha256=Qh6LkIJMC0FVN5r59qKceKGX7cmuYcDW3s96VsxZuzI,7279
torchao/prototype/common/triton/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/common/triton/matmul.py,sha256=o8f69GOu3PKnvIcD3k-LADQU_frmHwmoOHnrdssCEL8,11379
torchao/prototype/common/triton/matmul_perf_model.py,sha256=DKCG4UJEr3J7Y6opoysCCu7spa6Lmv8B4RUWQVkVqdQ,8414
torchao/prototype/float8nocompile/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/float8nocompile/float8nocompile_linear.py,sha256=WaaRQFAimju8EhBtyiuUNCxhSbOaYqcoU6Eh4dcr5ik,11619
torchao/prototype/float8nocompile/float8nocompile_linear_test.py,sha256=Bf6hl_yPGCdNdGO2VtT3Gbs55cJt4ACNyAsoGgcMqv0,3177
torchao/prototype/float8nocompile/float8nocompile_linear_utils.py,sha256=y-FH0wMkNN2VKe0PuUHtej4tGxang7TCozAeIvrOcPE,1878
torchao/prototype/float8nocompile/float8nocompile_scaling_utils.py,sha256=D_V_mGzDRwQdniCRTuyUni44j1mrRRyX9NZ04O2N7_Q,5899
torchao/prototype/float8nocompile/kernels/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/float8nocompile/kernels/fp8_dynamic_tensorwise.py,sha256=YVxfiJeDEre8gT26HXAxFQT5-SOfzuJkamGALl8woig,32817
torchao/prototype/float8nocompile/kernels/fp8_dynamic_tensorwise_test.py,sha256=lhmo98_i-UDAjuQcP9vjFw2JRr3iLwtAQHa7pT1-g-A,15687
torchao/prototype/hqq/__init__.py,sha256=J0TPdrWOc-vu2jCx8YBiyhq5CkkfF17dchsDW1-NaSA,108
torchao/prototype/hqq/example.py,sha256=y5L27z3aMfXIwfUOn5g9aSSIWlc3sd4eQfC_iquGqsM,5502
torchao/prototype/hqq/hqq_tinygemm_linear.py,sha256=iIT68m0QcD-xrLsi0WlB49VLhQVZ8RpZNqPC4wnXG3o,8606
torchao/prototype/hqq/kernels.py,sha256=NXdJKM9HJLxvjJnnUgFSK6U7Ld0nRmE6xo0I-Le7dbg,14431
torchao/prototype/hqq/mixed_mm.py,sha256=hBy_4N2zF9avwxfJkhVUREpCk5DSCMQJTXcNX0mQ7EY,5724
torchao/prototype/inductor/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/inductor/int8_sdpa_lowering.py,sha256=hjkXUqjkBHx2u97fwtB7wo6grPPSOZIdL7vW-kuinhU,4121
torchao/prototype/inductor/codegen/__init__.py,sha256=f8es7WxLvWAxJm30wleXgqosTw1yPuTniwHcGG2Cejc,98
torchao/prototype/inductor/codegen/cpp_int8_sdpa_template.py,sha256=-QW1QVc0sT6Lla64Oszw95zz7GiqBnbCJ20JCfHlffM,64576
torchao/prototype/inductor/codegen/utils.py,sha256=WpB2jOaQKYWKl9QgExeXjEGNfi72n2WZsHr1TWUmoEc,354
torchao/prototype/inductor/fx_passes/__init__.py,sha256=-fWNjJBanebr95Wos7DFmuBW0SKG1ZJ5-QjA7UJFavQ,211
torchao/prototype/inductor/fx_passes/da8w4_concat_linear_fusion_cpu.py,sha256=ZxS6GaMn3dx5G0flRWt5S8_CnUHR5K_6vrakuA7nvhg,10718
torchao/prototype/inductor/fx_passes/int8_sdpa_fusion.py,sha256=lOr9A3BPgYXRlP5WsLkeS_N69mwxwYiopl615f38wpg,11932
torchao/prototype/moe_quant/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/moe_quant/llama4_quant.py,sha256=R3Lw6p6RU0Ky2FO9d25Sg72e094p4KHPYa3Uiieft1Q,2669
torchao/prototype/moe_quant/quantizable_moe_modules.py,sha256=QRjEqIvqx_bF49C2CYbgDkz0mVmc521aKkxjnX6j0gk,7038
torchao/prototype/moe_quant/utils.py,sha256=Ea3i0hayfzgl-YPIT2fWmHtYSAKKmCOdVastqvcHqwk,12385
torchao/prototype/moe_training/__init__.py,sha256=cqpdncZVQQq54G7h5QM7ZCG71067Vbe6TUBobtm-TlU,114
torchao/prototype/moe_training/conversion_utils.py,sha256=BGjzeI6LIoD52zw71ylxOPFz_KLzdpUGERGlMct_uKg,4429
torchao/prototype/moe_training/scaled_grouped_mm.py,sha256=_Yk-9J2xgn-1NowX1veDGZVypD5je0E4L--DoxH-u2Y,10898
torchao/prototype/moe_training/tensor.py,sha256=hU-NTDVFWVVk0kwbwyMY0PliLIfoFdxibeNebdm0Y0Q,6803
torchao/prototype/moe_training/utils.py,sha256=4126ePEDsj3bYGvnI8Gj66zS_DRGCDpk-34GD9AEF_o,6109
torchao/prototype/moe_training/kernels/__init__.py,sha256=2-12b9lnzNcG1CphsBT1iLMNkH5Y3xqpTqv9M6fwHlo,340
torchao/prototype/moe_training/kernels/jagged_float8_scales.py,sha256=e_S8EfdOXARjXX4D1Cdx8DOt4zuBHW8Oue7vWAyOJYI,12906
torchao/prototype/mx_formats/__init__.py,sha256=mCmYYmv2pRATY2IFZ-CCyUdmBkQi3Rpt8US4QIhgzQU,659
torchao/prototype/mx_formats/config.py,sha256=RSJrgT5S1DoCNmIiu8JqmGz3gUcUH-jVDTg2x24zAtk,7974
torchao/prototype/mx_formats/constants.py,sha256=kmzsBnl0zD7qY8hjFyI7LSXYskPPMksQooB5IpBTgD0,1847
torchao/prototype/mx_formats/fp_format_spec.py,sha256=XkUrk3HUp_UplwPjv212oulvH_XCAxlkgjY8Qyg7CSw,18283
torchao/prototype/mx_formats/kernels.py,sha256=tzOEvOH_M00CJaU9LE9a1OowpUzg9D0bfdL7FkF5E8Q,60260
torchao/prototype/mx_formats/mx_funcs.py,sha256=5OIM1BTilj7dyrNSo_9C07W39kkgwlxKlXFXmLIjuOo,1170
torchao/prototype/mx_formats/mx_linear.py,sha256=gc-g95Er_a6L70vwt7F62WhYUeOjYTY_RVrVRej0U3Y,9757
torchao/prototype/mx_formats/mx_ops.py,sha256=_PoZMAXwOwOwgoAbwDYCvLuxvEEIkZ8XAxcZz0n3Tuo,11169
torchao/prototype/mx_formats/mx_subclass.py,sha256=oCe1ru7RRkMklhpKqCAd3TXeN5_VQ7MeI5eFtk3J0eM,8837
torchao/prototype/mx_formats/mx_tensor.py,sha256=167Cl6HQOy7UstibmdOBESwkHE3ri1RXmRztiihiBHE,27815
torchao/prototype/mx_formats/nvfp4_tensor.py,sha256=P4wYKZTBur0ojsP5ggvTc4i6TgorQtggf48f24w9r8o,29642
torchao/prototype/mx_formats/utils.py,sha256=eKVKjFuk2IiZZf2iA8gyBoiGf3otfWhhIz2Vk8QIJs0,3284
torchao/prototype/paretoq/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/paretoq/train.py,sha256=_DTgTG19F57ub77ofWmkjzWnu75LcVt-43K5-MEadFM,4291
torchao/prototype/paretoq/models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/paretoq/models/configuration_llama.py,sha256=Ld0dsypFe84dW_J4CqOYCJUx5sqUtBycpVTipaXVaQA,12239
torchao/prototype/paretoq/models/modeling_llama_quant.py,sha256=e9upq3vbjj1LQl5LDmvQZPCWLx6jQOMT-gOsqvZPL0I,52370
torchao/prototype/paretoq/models/utils_quant.py,sha256=cLfX5vkZg98wscSnqa5w014ggZR5LxxsQw7zc0ZpKPY,9261
torchao/prototype/parq/__init__.py,sha256=JeM-DRGaPEumTMD8JV1JG9xpBHscWETVsRgsuvGiMtg,529
torchao/prototype/parq/utils.py,sha256=HDUlgTExLV96zM_Q5VugxzrSiaiSHA_n48UagaKP3IY,990
torchao/prototype/parq/optim/__init__.py,sha256=9C1-cQf2B0U7oq7a0fkKEWTPRWHo8VQwidwaF8qm6Ww,415
torchao/prototype/parq/optim/binarelax.py,sha256=mcJpSi0TdSjINBLfc1tDmA_rDn97sp6hNpDEORFPEjE,1437
torchao/prototype/parq/optim/parq.py,sha256=93yWDjaV4nqf0wM1lEpR8hnUG7xUxgTLXJkTqf0niFo,4440
torchao/prototype/parq/optim/proxmap.py,sha256=FLCLPMbawLS6Dn3ze3TpU_dFY6rv4yOJeNdY7WOC1r0,1518
torchao/prototype/parq/optim/quantopt.py,sha256=7gxtfja-uiEmJT7-xWk4mlRnDi-T4ZvXctPdYCGlWNw,12165
torchao/prototype/parq/quant/__init__.py,sha256=b62VBsrgqfnsjt5ctNuW8zUsmOTxpF5VkpewPm08ODg,513
torchao/prototype/parq/quant/lsbq.py,sha256=Qrr3ZofC4rqgsSU9J1rpzkn-EUj895GNZKEjVZoXHfg,10753
torchao/prototype/parq/quant/quantizer.py,sha256=6HxEL6u8UUzH5GhE5bmCsUlG-bhqsYsGWDEFCDnNthE,1514
torchao/prototype/parq/quant/uniform.py,sha256=b9s-vqBIcuev_Qxzb8JZ5BfZUvM4_Jtwo_adFRhvlAI,7186
torchao/prototype/parq/quant/uniform_torchao.py,sha256=AEAzBkFJFBIbSORxAIWDlz6bef9-siPmFSQAii2-9BA,4913
torchao/prototype/quantization/__init__.py,sha256=XWm0qdhSFeNHr3qWmVWhLiLlGucP2QEtAodZEYG0-Dw,82
torchao/prototype/quantization/autoquant_v2.py,sha256=SYDtI7gapOBG26wcKnUH5XTTANQRzgfIfBYuBiAwOcc,52189
torchao/prototype/quantization/codebook/__init__.py,sha256=gqgIzP5Vg8_QFv4hai6uuEemFprsxZhsSkS7dVDLIWc,349
torchao/prototype/quantization/codebook/codebook_ops.py,sha256=G_E8yKX1ERysbwxku5T2wtqHH1CX4e5Yc7iVVvhNMgg,15942
torchao/prototype/quantization/codebook/codebook_quantized_tensor.py,sha256=r3e0rM7470ssioVTPF7Np_g-r-3N85-BbMpBunA24kc,10003
torchao/prototype/quantization/codebook_coreml/__init__.py,sha256=1xsI8-FSAxGL847xUxWsVyoLUp5vL7UchGGVw5J64zU,365
torchao/prototype/quantization/codebook_coreml/api.py,sha256=LsVRlNgcv1LWme-L78djQaj_BK6lbBO7kOJ8SoDYV6Q,1499
torchao/prototype/quantization/codebook_coreml/codebook_ops.py,sha256=rvRo2B4XoLtMfPfECAD2EnRE_tEd0bYSV9VU1qSJ1Rs,7070
torchao/prototype/quantization/codebook_coreml/codebook_quantized_tensor.py,sha256=arr9XfdjjMyyXazdB-NFCBe7i8qcsBMMakhaYppAqVY,6697
torchao/prototype/quantization/gguf/__init__.py,sha256=ftz5_nTu3xFHUbxJuOKHE9A4nQmUn-fjujPezQ3VCoM,172
torchao/prototype/quantization/gguf/api.py,sha256=JoJ0Bu4Tvz3pXqee7xascofO3S1YSigCzsG52k9y2zU,1571
torchao/prototype/quantization/gguf/gguf_quantized_tensor.py,sha256=6uK2Jwspr3Ia2uncx3dvOuxookCh4KQciGl2jSMRCK0,8244
torchao/prototype/quantization/mixed_precision/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/quantization/mixed_precision/scripts/BO_acc_modelsize.py,sha256=SOKApnPG5QY8v5ls_8Q3Mq5F9yw81DQ7FZlhF1SOEKc,13327
torchao/prototype/quantization/mixed_precision/scripts/BO_acc_throughput.py,sha256=o3ln9dRAjoKTPSnfnJ05MupBGkXO4wYjNDwtI2DGYB8,19171
torchao/prototype/quantization/mixed_precision/scripts/__init__.py,sha256=anrAGYoBDcOdydb_hV0B5zNsRquFrtSdRiWkLlJkQiA,82
torchao/prototype/quantization/mixed_precision/scripts/fit.py,sha256=QshIplXvfpGlF8PhNR4mf5FGtPdq1j2iGh3NMfGauwg,4943
torchao/prototype/quantization/mixed_precision/scripts/hessian_grad.py,sha256=6PCwOUBXrnqB5UIcrIOAfeYRfIa4fim8VauHp_VEwmU,6285
torchao/prototype/quantization/mixed_precision/scripts/hessian_vhp.py,sha256=dPwDGeNWhhgMFypex3XJvF0obBTRDa0GG4Ck4jSsgpY,7204
torchao/prototype/quantization/mixed_precision/scripts/mp_quant_eval.py,sha256=lQ94lZHOOhZyP42j-C17netcVyBApn06ibAy8wuagu8,6538
torchao/prototype/quantization/mixed_precision/scripts/naive_intNwo.py,sha256=SELYBC6ncaQNEL2kMZrXnDeo8iGr9_Fp4d8acfqj1dg,3787
torchao/prototype/quantization/mixed_precision/scripts/utils.py,sha256=qjqZyRXdE7CZuOYJFJqx-vx8oi8ykkV0MEcMhABIGMc,5391
torchao/prototype/quantization/module_swap/__init__.py,sha256=DkXIcQwv4n7N6q12ZRrc-SwAW9d1u5Rbb4FOTx4AF2M,391
torchao/prototype/quantization/module_swap/module_swap.py,sha256=s-7LdB9kxLf4tKzbL-LvuUyvltmJGnNAH9wJNz8SVsI,6372
torchao/prototype/quantization/module_swap/quantized_modules.py,sha256=ekWCa-i7LGjo4QLbNlgEYvwKPYrDV5_ThUBvAfNU4c8,7517
torchao/prototype/quantization/module_swap/quantizers.py,sha256=B9UeRznFdqol0aIIcWuQCwGIQstVfgCghFXEOOn6QLw,11055
torchao/prototype/quantization/module_swap/range_setting_methods.py,sha256=Dr5inoY4HnsHszxQnHTV7MEvJyjYNaWin_TqGpHGvg0,8163
torchao/prototype/quantization/module_swap/utils.py,sha256=q0605R3wxRBjQFnPsMNhBrUswXGFJ1G0eAZ_W9z48Wo,2510
torchao/prototype/quantization/module_swap/algorithms/__init__.py,sha256=tjVRS6b4hnY1VM6ovcPVsWBniJJfVvQc-CMFX30-HXs,83
torchao/prototype/quantization/module_swap/algorithms/kmeans_codebook.py,sha256=_dSmLF30LDp1z44zZ3J7SboaUTTmc5xUkdBlDK-jGlw,1512
torchao/prototype/quantization/module_swap/data_getters/__init__.py,sha256=rVllxcjBGpCgNgjjjYtpoTHO7kN8R6T_xhDD7pveNCY,221
torchao/prototype/quantization/module_swap/data_getters/llm_ptq_data_getter.py,sha256=zIZY5tdn5915LOGDO9rrqNXVMqrod1ewimDAQg0bXIw,5134
torchao/prototype/quantization/module_swap/data_getters/ptq_data_getter.py,sha256=MI-gz0rqXO5mB9h3WZcLAR0LSjt6K0XuPK478lSJLG8,1886
torchao/prototype/quantization/subgraph_utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/quantization/subgraph_utils/extract_subgraphs.py,sha256=qVWatZoQ4Vv2inerZJN8Jsqbxt8VeRn06GMxxKRZQD4,26157
torchao/prototype/quantized_training/__init__.py,sha256=rQPVY8Gw2pWzNYDY35kq6-lF4FA_EY9NTicT1NkBGJw,825
torchao/prototype/quantized_training/bitnet.py,sha256=VMuasHv3IcBcZ-MnfLWV2Jls67FFQQ96py13uk3_aGQ,13706
torchao/prototype/quantized_training/int8.py,sha256=WYlApSlgCfU-O_ECBaNZyBRxqpKoP34W2qZ1PyKAjhE,11240
torchao/prototype/quantized_training/int8_mixed_precision.py,sha256=dh1gDBNbXa3gq9vtvQosbJwtuRepmWffNH2nBMObLB0,10660
torchao/prototype/quantized_training/int8_mm.py,sha256=pNY-PDaIo8UGxwhR1QEyNjszXAl5FQMdp7S1FqxQh8I,5823
torchao/prototype/smoothquant/__init__.py,sha256=VESBIsJWtlTZ4Zs9dP1H8S0pDc5vfs76suH3KJ1sg8A,357
torchao/prototype/smoothquant/api.py,sha256=R4JTAhQYPnShtc4bma5dwSo3Nhrnz4OJYveBnaWVufA,8309
torchao/prototype/smoothquant/core.py,sha256=LhTGSFv53TOwyU1QRtSehw5zFjLpjJOsJK1ZdDCDPYQ,5981
torchao/prototype/smoothquant/example.py,sha256=rxOhLZu5DRNTsUm57HcGh7BXCpV_FHmA8zzVj66jFPo,7973
torchao/prototype/sparsity/__init__.py,sha256=hOt7VNgWKMN2oPDvWXw-oonefnHFGoznJzmrGSSMqQ8,963
torchao/prototype/sparsity/activation/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/sparsity/activation/srelu_linear.py,sha256=sNMI98sIyAr2XKzfepId3ZtnsdGzenTwSH1FT59e_F8,2645
torchao/prototype/sparsity/activation/utils.py,sha256=OEfEGUpYyxB_I59xUIKz3mmdog5sM4PbWzPP0V7LOaA,4015
torchao/prototype/sparsity/pruner/FPGM_pruner.py,sha256=XeObpJMi6oF0VBxyh_QBAB5UdzRP0SSi81lFIyaiwa8,3599
torchao/prototype/sparsity/pruner/__init__.py,sha256=FUDa5XcxNGq9ZRVY4OjXTxtzMVMicrkE0TNKZXsLGvc,432
torchao/prototype/sparsity/pruner/base_structured_sparsifier.py,sha256=lKPcDn3mwbzQU8WU5gL3XHxQFa-hra0MNCcskYTTNbY,11086
torchao/prototype/sparsity/pruner/lstm_saliency_pruner.py,sha256=nOY9gPREdiTBBZ6UT9YgiiXOAQJEKASb5mHUWq2R8cE,2309
torchao/prototype/sparsity/pruner/match_utils.py,sha256=WmBLFjc4xBwG0YZBSMEw3GUlZVzszf0vNew-1as7ceQ,2188
torchao/prototype/sparsity/pruner/parametrization.py,sha256=2HUbfoEJIrc49Dgc0ImUCXKBbfZZJ2hpnD8pyS1EOW0,2028
torchao/prototype/sparsity/pruner/prune_functions.py,sha256=mUd4Pr1pNnW98e2YwWvFUjs2UWnSzwr5uSKYjJkF790,19214
torchao/prototype/sparsity/pruner/saliency_pruner.py,sha256=htbpVaUowGVCnV3F4TI5W5foeeIkydEQTIaX9-Z7kn4,1569
torchao/prototype/sparsity/scheduler/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/sparsity/scheduler/base_scheduler.py,sha256=OzkillAW5SNcp1LwWaXo1lGDMq6IIIqUZWDd1XMan40,6718
torchao/prototype/sparsity/scheduler/cubic_scheduler.py,sha256=u5xzIzdljGNkW0TkgFtAvYn5DLvFmF9MVT7OMbeI6rE,4027
torchao/prototype/sparsity/scheduler/lambda_scheduler.py,sha256=84hcIonKFoOIFfdybpxIsIHt0Y2F71MtvoKXHj0UrT4,2299
torchao/prototype/sparsity/sparsifier/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/sparsity/sparsifier/base_sparsifier.py,sha256=Z8DwWh_s50GgjIGO4-EzOrJ_6v_Rgjhm-M4C6z12erw,13973
torchao/prototype/sparsity/sparsifier/nearly_diagonal_sparsifier.py,sha256=_F74N5669YbZYKbYj7NdLKnpSEa-lu9J_3DejfXAC6U,2411
torchao/prototype/sparsity/sparsifier/utils.py,sha256=W3R5g6xtnE0njVl3oreG7LsH2UjoykWk-MxcdlnkQwo,4742
torchao/prototype/sparsity/sparsifier/weight_norm_sparsifier.py,sha256=Ba9gqcMNatX1cWykVcYg3gzRsStwCI0JM-Ol7jELoPI,9444
torchao/prototype/spinquant/__init__.py,sha256=mqLuSs8JtElcYcKzZ0KSykNXFKlouM-6swNygypJJfY,77
torchao/prototype/spinquant/_hadamard_matrices.py,sha256=nK1M79plraeHgNTIpSLE5e-nI_E0eQwheJQmcZNOqyc,1975954
torchao/prototype/spinquant/hadamard_utils.py,sha256=ThXdKkl_9Iydi_Wzz8n1RtsD_o_qKMHUjnUnzneRIoA,8160
torchao/prototype/spinquant/spinquant.py,sha256=huiNovLViIwGQ8lYACm6fDn-kgXTZ-gcStOXLmj2ooo,9788
torchao/quantization/__init__.py,sha256=RPSj9wZuMMgpMxpMzwhYAXbLDnBuFmai29JEUiOlHf4,5923
torchao/quantization/autoquant.py,sha256=KKLM6FG5ssJM8Jw75cfpGs8V7PB8jpniWqSCXp6Z9VI,47984
torchao/quantization/dynamic_quant.py,sha256=tlRE_OSS6i-vA5L6lg8uqpnHA8jLjWp9dY9ecsVTqfg,2736
torchao/quantization/granularity.py,sha256=QEdOZqnSf72jOgP0WmcqGUgKk5cc_NNqV8R9XE7Xg0s,2855
torchao/quantization/linear_activation_quantized_tensor.py,sha256=U2FhAjVns71uHBPXnWxWctXDCURGaPMT11Ru_nGq-Zs,9740
torchao/quantization/linear_activation_scale.py,sha256=ydhYVvJrm4MHMJ8CLwMGCFZEwpnPpU6N1xamTDN_gzg,5084
torchao/quantization/linear_activation_weight_observed_tensor.py,sha256=5SsykLW80Ys28RZ4sXefpscqFKfEPIPVHeydMffrzlI,5588
torchao/quantization/linear_quant_modules.py,sha256=uVTWrQFVYqdgppt4aPuLotJLK2Mco0yeQvKI5HblZk4,21493
torchao/quantization/observer.py,sha256=dDG3YuauRROMJp1Jw-ojwqGYsMdL96-QcdbCg5MRlxw,13128
torchao/quantization/quant_api.py,sha256=5JvwPlZgcy4ouF6QCKPJFfr0hCU8ETkoVu68QYupMOE,80807
torchao/quantization/quant_primitives.py,sha256=oDZkR_PSH9XJW2_iNNXaD35xaGA8kPlnC4yO1J82rCI,88626
torchao/quantization/smoothquant.py,sha256=EKrOSUsgkD6e_Cq0qOoqNoT6OX1E5f3BHm4mtjccYJg,10174
torchao/quantization/subclass.py,sha256=3Xa4KDtqCmYoqKbLC9IWOxs1KaLFQMCSr4PiSMXmF1I,22980
torchao/quantization/transform_module.py,sha256=unfCH0DRxmXjbgxejveI0qpMlbixlazqpKsVIex8e0s,1595
torchao/quantization/unified.py,sha256=07CpCmqeucV50JqEGzony78esg6tZ9i71mrZF6ufUzk,1136
torchao/quantization/utils.py,sha256=46bQjXGMAMjri_k81yV4R-vO6Nl3J7aCESJ16HsSP7I,20506
torchao/quantization/weight_only.py,sha256=iNZxBrsSS1P7yYpnApn9Q6O8t5ZhQWWZR2S3xfYpBhs,3951
torchao/quantization/weight_tensor_linear_activation_quantization.py,sha256=FP2LSZcNzJSkw_z_UQwc1yimNjFyXxeBretbQc8QWwg,7305
torchao/quantization/GPTQ/GPTQ.py,sha256=W017NngWJk6JaX7oLN5I0Ot8v6CJeKZjb5Dn6Y2Lwn4,39860
torchao/quantization/GPTQ/__init__.py,sha256=XxUC16uqYMMe3FUlmTcxGSo2yYlQBGChFu_cSShSj9E,591
torchao/quantization/marlin_qqq/__init__.py,sha256=9NkH-GD7X77fNUjdU9bDxkiXnrgz6xXvy8PHdT3Dtxg,9825
torchao/quantization/marlin_qqq/utils.py,sha256=o0YazH64byzhklqd9wJ_pkU5mPDK-xlN1Fgh5DybhUg,6513
torchao/quantization/prototype/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/quantization/prototype/qat/__init__.py,sha256=pqgpJAfY0GsHhCl4tAHve_NPf1HuJkyHX3lGUMUjOq8,694
torchao/quantization/prototype/qat/_module_swap_api.py,sha256=-0ztSiLARCbA-nj_MLUkNsDyyvEySKQcERn4f31b1mc,1058
torchao/quantization/prototype/qat/affine_fake_quantized_tensor.py,sha256=Cw72hGWL3jzwRVT9_SuGHX9CVfC4tGVq1Di0SL7lu0k,211
torchao/quantization/prototype/qat/api.py,sha256=OfMG_MdvW5Dr-jf0lCr4p5ORfEDqYvRLZtyZMq3K9jo,168
torchao/quantization/prototype/qat/embedding.py,sha256=xruPkzH9vFloiAvfrQCaK7gDWE6e2kj-wvOgsv1LvdA,334
torchao/quantization/prototype/qat/fake_quantizer.py,sha256=17VrmDWBO1iono96ToKeKF_brj6H4SNYRTQqrPfsZHI,111
torchao/quantization/prototype/qat/linear.py,sha256=Vu7wcfnPk8Vr9y2OqI85lMaS1uOMzGxe-SfT5GX93L0,623
torchao/quantization/pt2e/__init__.py,sha256=11tFl_Uhf4Hbe9xNY9Z6U3YUInIeZo45L8BE6KEq6Q4,5295
torchao/quantization/pt2e/_affine_quantization.py,sha256=J22J8pkSYN-yVO8zGUr5FCWTR3zJVKhwaZD3O3HQi0k,32046
torchao/quantization/pt2e/_numeric_debugger.py,sha256=LE7uqEflxWO4jUCZHUWdA4gVnPSHBHUXCnecDtEEdZk,14605
torchao/quantization/pt2e/constant_fold.py,sha256=hZi4kcA-vE4sGEHBHP8I5y22DjTgPTcIVlYjtQ6V40k,16216
torchao/quantization/pt2e/convert.py,sha256=K8R68yRC_8GHp9Aa6mzAFvLTs-15mb_a0RJ-uJvu7N4,56958
torchao/quantization/pt2e/export_utils.py,sha256=LsIsmiKmRv0niCMARzbJ4TI9klQGl3b28V9PhZEvJ70,8181
torchao/quantization/pt2e/fake_quantize.py,sha256=ZBfnlzIGrFNyOUcGv6lLL_Gs3Y4fwOhAw0hWMD36LZs,23057
torchao/quantization/pt2e/graph_utils.py,sha256=zA8mtwtPuLdHkHz2NytJrB_ervX0w8tgxib37thzsuE,6596
torchao/quantization/pt2e/lowering.py,sha256=C6ixa2Y_Ebe_g4CEOpezLWkbzqh2uNZwkoHYKT5EYfA,2110
torchao/quantization/pt2e/observer.py,sha256=LHW2l-MWJw21pXa4A_tc008yVnvPV2Fv9GvGreBo7X4,79377
torchao/quantization/pt2e/prepare.py,sha256=2DpnSXCIsW-pCCDhN7xs29XVMUeP53MByv0ZdEVKvy4,25225
torchao/quantization/pt2e/qat_utils.py,sha256=Pg25NmFMcFw4NdmHjzrLjI_Q0YxoEfVVDafso-EHgis,36757
torchao/quantization/pt2e/quantize_pt2e.py,sha256=4H5Vn5xh_Gq1rG9wyZNC7ADi1xnB9dXXE0PHl7swcrI,12297
torchao/quantization/pt2e/reference_representation_rewrite.py,sha256=L4gIBKPzJOA99r36F3boXEbsRI8gu0GznVf-8iNIXbM,28634
torchao/quantization/pt2e/utils.py,sha256=4gi3vsktdwQZ9MHGKpaIIlBN0qcMcUZYf91jG7QwTlQ,41116
torchao/quantization/pt2e/inductor_passes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/quantization/pt2e/inductor_passes/x86.py,sha256=6rOfoAu9A7jprx2Q7LK27pNTac9LZuKMmUNVSlCBJHo,106842
torchao/quantization/pt2e/quantizer/__init__.py,sha256=zjd3WzRjKnpBF-TgSgSBzrwbdA0wLnS-vl_s59b8S2o,1333
torchao/quantization/pt2e/quantizer/arm_inductor_quantizer.py,sha256=Tc3ZMzj7UerUVL5I7XEPOv1p70QovYOjth2X4Uk4FSU,14979
torchao/quantization/pt2e/quantizer/composable_quantizer.py,sha256=UcwcdNLdjKvgLTWAFuO_8pnK1tjsW7XFc9_kCmO5jiQ,3192
torchao/quantization/pt2e/quantizer/duplicate_dq_pass.py,sha256=6jDG0s5z5Vk5yufmLINSRPcIzBlVV-Vc38UVdzHhTKQ,3355
torchao/quantization/pt2e/quantizer/embedding_quantizer.py,sha256=ibhkhMUT0CYbB80wiWrTCch5p90KTlPlMq9XHp3immc,3595
torchao/quantization/pt2e/quantizer/port_metadata_pass.py,sha256=pmJybIMuLb0qll5wdeMO-KJJ0tvg_4nWGfkjcNM_-YM,11582
torchao/quantization/pt2e/quantizer/quantizer.py,sha256=BQzTJw1w-VoNZJ9rcPlN_jqWN4yY1EUwT4Y0L3jkpvI,6814
torchao/quantization/pt2e/quantizer/utils.py,sha256=GEPnkLfP6U3AaEOsisH0b2dpeH08YkRU39ZZathX-Qo,6013
torchao/quantization/pt2e/quantizer/x86_inductor_quantizer.py,sha256=7sA49LqjVYS_0v1maUvqOFNhIsjrhtLA0B44M1Vetm4,66875
torchao/quantization/pt2e/quantizer/xpu_inductor_quantizer.py,sha256=TJhtYfUaMtWP1NxI7vwRlDucV8igP8iEbbQSghpSxDU,4044
torchao/quantization/qat/__init__.py,sha256=F9fg_Mpof3Hq7pj3lMYSAWOlhpuxUGBUq1kdx3ajZRs,907
torchao/quantization/qat/affine_fake_quantized_tensor.py,sha256=M9FlvZBmJbuh9OUh74IxcJga9JAs25Zpchu1-2fDphU,12648
torchao/quantization/qat/api.py,sha256=HEpjMB3JjwaG9c5IBJN-j9Dfd9MA6KzLaAVM1J48i3A,15297
torchao/quantization/qat/embedding.py,sha256=54-ydzy4eKHH11EV9AQc8MljYjDrmdw5n2Dk9FZvVr4,13630
torchao/quantization/qat/fake_quantizer.py,sha256=B4AfodE3aLWXLXhhRxKA4pqbZUI_-JEahuc-zgm1DDs,7344
torchao/quantization/qat/linear.py,sha256=YsQOUgvGkCctAA_N0LGS6KBCEOCWdxx08nXjmz0eg58,22018
torchao/quantization/qat/utils.py,sha256=0sLU-58kYNBeUadUqN2EIFQZ9g-Ym55d3t-QbB5mYOQ,3687
torchao/quantization/quantize_/__init__.py,sha256=rRtd1A7oYk4ieQpHORDmal2eZxUotwuFGlrmKaqx6z0,204
torchao/quantization/quantize_/int4_groupwise_preshuffle_tensor.py,sha256=aOmYkUUWD1NiPtaeTyWoyZRWkvihUSKuMnoP1IKoLlg,12499
torchao/sparsity/__init__.py,sha256=RPGqZnXWyGXCaLxwXWbkn5nQlcEfSehwq5vXw3CTl3k,803
torchao/sparsity/blocksparse.py,sha256=icfJbKdCsVlshvIWJvxHSrJy3vFIEhSJKI8D2K8oAAE,9602
torchao/sparsity/sparse_api.py,sha256=FDHtSZ3bh3IvK_QVihRXcARDhcVTFZCudEyW6tNKbt4,4542
torchao/sparsity/supermask.py,sha256=NP5cRIXjGopDfIueezygOhJGvIA9HipOouaURJbaTI8,4609
torchao/sparsity/utils.py,sha256=DuSoQOZiOv7Dt8RenJRLku7SDfl7H0Us982t-7Y2VQE,4309
torchao/sparsity/wanda.py,sha256=WTxadqgWHXeR7hTi2ocujWZw0-0t4xRCifhasXGeI_g,5240
torchao/sparsity/marlin/__init__.py,sha256=rhOMnZbJ2twxUaT8VMtR69gWG3yvh-UY8kuOR7R9ok8,11756
torchao/sparsity/marlin/utils.py,sha256=q3lXIv04AD8rw-KSu9ut9qTYY9E74KYtNuqECPn7wic,17751
torchao/sparsity/training/__init__.py,sha256=g0YstIKM_LOy4IjEWBqb47Mfx02dyhY9oXMi8HyqKMo,3552
torchao/sparsity/training/autograd.py,sha256=dli9nKdFRhcrahqZAlCI1qDVE2DiA1TpEoEFtGBydt0,5218
torchao/sparsity/training/pointwise_ops.py,sha256=XWSQqavwcR0fTGc_-_pkhGhjYh_n2PYVpUzR2Mv1jRg,4731
torchao/swizzle/__init__.py,sha256=k_Vcu-OU7wpzUaGTdKt0eYKrYjCE1-Q_3YrSXNKTddM,269
torchao/swizzle/swizzle_ops.py,sha256=6VhHmHQ0koIIaccJGuNbZycADUI5wWrr8L16yXKKMZU,3209
torchao/swizzle/swizzle_tensor.py,sha256=5kUMfljFtdcLE33bsOGQVm4Q6W60mdmecT6hSvSZ0L4,5167
torchao/testing/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/testing/model_architectures.py,sha256=q5ivgFNjQJ8XvQQbZFBdVig9MaNqjrmjVuYBgr6HP3w,6225
torchao/testing/utils.py,sha256=OOlzirI5g3azBLuE3Z3_usJ9y5lVbe2OfafnHtGlWpA,15804
torchao/testing/pt2e/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/testing/pt2e/_xnnpack_quantizer.py,sha256=H45kshvdhnca8kKgtLGN3_jaSWwdP9dcTNTvgsSPUbQ,16271
torchao/testing/pt2e/_xnnpack_quantizer_utils.py,sha256=g8l9iPrI5BrURmYxLb0EwLsUeUuXILMr6mEeoVZtccs,40835
torchao/testing/pt2e/utils.py,sha256=1Seyd9hEi9cgxuN4aPhUpFoQXZkCitalIaXs9h1NQ8A,8123
torchao/testing/training/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/testing/training/dtensor_utils.py,sha256=SEHqh7cnsQVvHa9SpnzQrvnOLBcXLJTxtWrKJzPhohs,6055
torchao/testing/training/fsdp2_utils.py,sha256=tP-RWtFHA06dduycievMlmMNSL1CfNY5pWC8HJ1pik8,3550
torchao/testing/training/roofline_utils.py,sha256=joxpNY_IajCu-bvp7rYOVMRo4LYOzbhwdUXWqLW0fpI,12854
torchao/testing/training/test_utils.py,sha256=fBWNpUlv7RNB6NFjKkC8UR9aT3BXKo5ZVFQjFgArDA4,922
torchao-0.12.0.dist-info/METADATA,sha256=H84L4xwyOjBJY0uqCvLoiKZGMbt6J7qIloC3Cmfdyk8,19105
torchao-0.12.0.dist-info/WHEEL,sha256=lTU6B6eIfYoiQJTZNc-fyaR6BpL6ehTzU3xGYxn2n8k,91
torchao-0.12.0.dist-info/top_level.txt,sha256=gGr5oEJ1W-T-QL0cRUf7RhX8HXPkJVi8DDnRwMMDZyY,8
torchao-0.12.0.dist-info/RECORD,,
torchao-0.12.0.dist-info/licenses/LICENSE,sha256=ZK-8briIL4OZEMv4DgmmN3My6-Lhe3rFAaPDzKH693s,1453
