test/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test/test_lean_import.py,sha256=TIWKH1yp6f7JOHHVTqoAxDDHOzv_cvBmlLAW1qdtMWQ,708
test/test_low_bit_optim.py,sha256=jy-9Wt1u5r_4fnJOWyBLLyWP0sEoR412BT2T79Pcu04,24974
test/test_model_architecture.py,sha256=DKt1aUOKvD5Q1KxPiU6wQROdsouvCBGZV2lSUoB_dTc,1959
test/test_ops.py,sha256=bcGu5CSNLSY98DDH6HYY6kpL3TDhn88uaAbDHr3ULm8,16440
test/test_utils.py,sha256=lNrrX-yb7wdHGOW2i5HMWN3OohNF7I17Dtg5ZvcnyxM,22668
test/prototype/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test/prototype/test_autoround.py,sha256=42Jznqiq6laj3jxt5WlFpM5TvYR114eAsiQO8JrrYoQ,5927
test/prototype/test_awq.py,sha256=m7PXeojBmQNKXNJrap4cQUTcNhMaPTmfps-lds52l0o,8921
test/prototype/test_codebook_coreml.py,sha256=X4cT34Ls_EHjAxmQ-KZTMwEqTXNMCFoQsvBzB2iXgI0,4260
test/prototype/test_codebook_quant.py,sha256=7wrPT1ffYJ_S4PHfsuTOr7x7BvRfqN56qDj0TJWzAus,2438
test/prototype/test_da8w4_cpu.py,sha256=1jmx8WL8YfWW6LKG9xnml9qVeEZhGzdZUGHhQYqLlpE,6070
test/prototype/test_embedding.py,sha256=KYC0lm9Y59E5ToqWZUruP3Jk14GoO1kVdsW8oGwhJiY,14329
test/prototype/test_float8_opaque_tensor.py,sha256=af6vIO1JmiwTqZnSb79WxRSDHO_c6BTG9HB5t2qZ2Ls,5273
test/prototype/test_fp8_sdpa_inference.py,sha256=UCst2_eFXQuOivJmmK3oWolhTDlWt2gZB_sWEldr7wg,8950
test/prototype/test_gguf_quant.py,sha256=kdxsSGoXaTuJ5xEVsbaSSHD2Uv6Mo-f29g_KsbS_k5Q,1772
test/prototype/test_groupwise_lowbit_weight_lut_quantizer.py,sha256=GcAkIUO7ze_a7IGMuvjXxy_-4fp4hV0_g_w-D_PTvAM,6022
test/prototype/test_int4_opaque_tensor.py,sha256=-0lCgEchRF7GcIFgk6Uouw4bjLnV3RwUW9e-Ycv1sJQ,4016
test/prototype/test_int8_lut_tensor.py,sha256=p7KSoAKjfGyYG-4qY1sjFKLUSDFCQTZZuaLH6vnFnoM,4021
test/prototype/test_mixed_precision.py,sha256=DkV-xT4jO1S2hPRg6910l_eJE2qPlwVXBPrG53f_xdI,2149
test/prototype/test_parametrization.py,sha256=2zQllaDPVTpdpgT_pzBlXSvF9lIJmPRbZix4FWVPNKg,6677
test/prototype/test_paretoq.py,sha256=LFP_lbJAgAiaxcTJevw5UtmvTwCNxLvcLPV9RY-keFo,1564
test/prototype/test_parq.py,sha256=qZA0o__EoaNi7zMhSqT2FLWvdgFGTYRkvDCFSaWzoeI,23143
test/prototype/test_prototype_float8_tensor.py,sha256=m5iruZFIJmPPHAt3HKJqxTkrBhaIYdyPWiSF5twlGDQ,23040
test/prototype/test_quantized_training.py,sha256=ztkKKnemTKhCkxGRmQSvAQ7QcvEdjMR0bxmdtqU2lIc,15128
test/prototype/test_scheduler.py,sha256=6mg7KLEFY7RkZrtGQrMT5rEnXtPp8VpJOw5U2PZ7KE0,7393
test/prototype/test_smoothquant.py,sha256=6vwlikGzoNAsUDf61kY6852WfzLsH1g2I7D08vDhdiY,25543
test/prototype/test_sparsifier.py,sha256=57cfAQDrr_lbZgOK23oHd0iNW9Pe0wdnoHioVxf6K5Y,20465
test/prototype/test_sparsity_utils.py,sha256=UsnN6o76_Jzh8a7Vdk6bfQgE9SjIvNSKoO0I7NLqAoA,6006
test/prototype/test_structured_sparsifier.py,sha256=miII32zoBsyrnKM0DgJxp4XX5k5nEXtW96hvSiQpMpk,38196
test/prototype/test_tensor_conversion.py,sha256=MC2nTwmcRRZdrKmdxR4LW_-c6RS-F1UlWa_KFOq5tow,7968
test/prototype/test_uintx_bit_packed_tensor.py,sha256=nq-VyqEpqpCgrR16-rb9jdd1nhEO3okQ4GR44GCCPME,14682
test/prototype/attention/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test/prototype/attention/test_fp8_attention.py,sha256=0FTwhEfjRHZjv1T3pIPxd4jFRZEVHKyniB_Wn4jYSd0,18053
test/prototype/attention/test_rope_fusion_detection.py,sha256=U4b_u0jGWI7aQJQYAI8EpRi-i32yIn6hq1gNcvMxHDM,5075
test/prototype/blockwise_fp8_training/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test/prototype/blockwise_fp8_training/_distributed_test_utils.py,sha256=5uSa5jcir64zSUl0Kt9KBE1DGjldUd9UzJG3556NIsQ,5693
test/prototype/blockwise_fp8_training/test_blockwise_kernels.py,sha256=PMm9qwXJ9_15WofDqoAlo1oOZ5ocFWKla53VdmT-cqE,10458
test/prototype/blockwise_fp8_training/test_blockwise_linear.py,sha256=ZDPP2l08-BBmmBp1LdG9n7zs1ohXf7DSwOuMYNJgfVk,5160
test/prototype/blockwise_fp8_training/test_dtensor.py,sha256=ok54YjHJryojUIaBLUrDgVcAINydycmAJEc7PqcwpK0,17123
test/prototype/blockwise_fp8_training/test_fsdp2.py,sha256=RbtQlmG_3MwFIOZWZAAxS82-Hi5pC6c0Rce3wvP8E74,3357
test/prototype/blockwise_fp8_training/test_fsdp2_tp.py,sha256=LpJwYwLoiIK5ROBpty1Qepr7W12Wmi1EjXt3DVT-exo,5019
test/prototype/moe_training/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test/prototype/moe_training/reference_moe.py,sha256=CeOuSLIcWIayH8TdFAXM5vmyliBEfTwn4Sw9aZV7xZA,22211
test/prototype/moe_training/reference_parallel_styles.py,sha256=1PlRezD0nmn7FjVwOClPWzzQ5j3W2vSAns7HV_uGvoU,7256
test/prototype/moe_training/test_distributed.py,sha256=Fdhport9ADphtFfF91caxFFlaRId9lR706lUZXJuj4w,13628
test/prototype/moe_training/test_fp8_grouped_mm.py,sha256=1wb_0wbZ35LoEpcfQhPjdogxvdEx-ChUpysUyck80B0,8618
test/prototype/moe_training/test_kernels.py,sha256=Pghy-6uShYO2vbKjmpqsjqkzaqBKVJXcU8-xQ4B2l_M,32430
test/prototype/moe_training/test_mxfp8_grouped_mm.py,sha256=Z8-4SWfz9ZwD5xrqVRurx3ZTztCvIHAIGhB5P0wKgRE,16198
test/prototype/moe_training/test_mxfp8_linear.py,sha256=WXdRZhpWe9j93okQ8_BcdbfTs42zof1Ib_V7UoyV_R0,4018
test/prototype/moe_training/test_nvfp4_grouped_mm.py,sha256=qFeWpl_FuirxeyRhqudFHLwF4DWmg2DJulfYxqpq2R8,6660
test/prototype/moe_training/test_tensor.py,sha256=mmXKhZhRywZZQdGfQ6tSe1bwqp3S1W6xph1C01dHHs8,10304
test/prototype/moe_training/test_training.py,sha256=WK-p2134QrursB-A9ZR1C2L-eK04UTKYRfjzopV7WQw,7509
test/prototype/moe_training/testing_utils.py,sha256=ExnCMHZM96qwWtH37qacWIW7Uu5TRKE3m-CwOLBMHoU,2516
test/prototype/moe_training/ep/__init__.py,sha256=esgp9scKTLH_o9n0JgdZJuqpKxdcSg7zx_wobfAweok,76
test/prototype/moe_training/ep/test_a2a_dispatch.py,sha256=YvhAHT-J0umPND8AXw8zruX6oZmz_XlRwscuPexAXkE,3929
test/prototype/moe_training/ep/test_compile.py,sha256=6e2CfyJ3rVIvVjqJ6gG9_tAtvRCbfTLgDQyLuVTuOqk,12469
test/prototype/moe_training/ep/test_integration.py,sha256=LCIqkC4-l9L4G1OjGuyM81Zw7C2gVuJrBq7oI0rlEcQ,13873
test/prototype/moe_training/ep/test_kernels.py,sha256=HP-PRADKnfki9NGEX7UlzfnwG5wvm4kvN2BzOXJyCmg,3081
test/prototype/moe_training/ep/test_permute.py,sha256=HWnP1cPZy5phDyE7_uMomtxh0MZ90sW09C6VNNZjo_Y,1870
test/prototype/moe_training/mxfp8/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test/prototype/moe_training/mxfp8/test_mxfp8_a2a.py,sha256=oyulCkyBhgBi3s0NMVY2lK9Ctdhfbw0ZNazzp7HP1SQ,8907
torchao/__init__.py,sha256=pxWipCl_2KXoOEOcLsy_gYUmIPP6U-30q7qU5AQfx_w,3955
torchao/_executorch_ops.py,sha256=0JWM8D_X_pWLCa8Nx8hoO6aTecMFbeyBBPJEgiFM-UM,2054
torchao/csrc_meta_ops.py,sha256=zb8n427Fx7XA-pFM2jL4DUuUiw9GzgG2tONvatVprnQ,2023
torchao/ops.py,sha256=iNNvw_w1pbgelOOY2cE06zXkebM8rX05hDKnsM9RrsM,14547
torchao/utils.py,sha256=SVanKKKwIaXq40gv0_aG6ysUJPuzUK_IaATBZuTcbI4,46576
torchao/_models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/_models/utils.py,sha256=HNXEKcXnGljKsgoLpgE70pMrChwCPp3ZQ5e4fEsXnYI,3926
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=n2FAPwNnjJ4UaKFLtlbKEEr-YXn5_XzUYlGooz_nBqo,11050
torchao/dtypes/__init__.py,sha256=vbnKf0p4_wh0fLtPgbk6ovi0UH354HqW8XvesEgR_rg,818
torchao/experimental/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/experimental/quant_api.py,sha256=IJg9k4k4Ss8S0Mqk8TmU_zcpoLhf6Z6xHh8Ti03FKas,11672
torchao/experimental/ops/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/experimental/ops/mps/__init__.py,sha256=sZ7Z8fsxt2wn87KnAlfvN1_uuJlaKEnXEz6RMWxUW08,203
torchao/experimental/ops/mps/cshim.py,sha256=JnrRYAFCzqqftSa7axXrQIkX7bDo4MnT2yENKxGJn-g,553
torchao/experimental/ops/mps/mps_op_lib.py,sha256=sfvdTd59g5Qk4EnYz4LzmM8fPT_I9ZfVEQ2i2UJ6jY8,1327
torchao/experimental/ops/mps/utils.py,sha256=SpGJOEovLxL9JiY-zv7UX6gqysDh2g1Zw5OhAb5ajy0,2372
torchao/float8/__init__.py,sha256=UMAm6gC0JyQ3dMXrEUzZ5CsAvIeKKNZPGS-FTdUSTrA,1380
torchao/float8/config.py,sha256=uykGNhax0DIjHONswxt7aoP_oE2QqTOobXOU6AXnisM,15390
torchao/float8/distributed_utils.py,sha256=PYLnyVrqRfNuITTWeCRy0PCF4DdS8nlv703wbLAoxxY,980
torchao/float8/float8_linear.py,sha256=1RyY2SzJrS4HDXlxlk8oHiNYIsFSGOadz8QLqh1pea4,13237
torchao/float8/float8_linear_utils.py,sha256=RDdKxUmY9gDSqi_zSRaWIRt4mbic_44uNUHCPRLtBuo,7437
torchao/float8/float8_ops.py,sha256=6Xo6fOr6ZmyUSkYsifgzn_QYRZufvbNdXeKCQtAIR8Q,20497
torchao/float8/float8_scaling_utils.py,sha256=XgDH0ynp6wxYj8Q_-9zvAxQ1cIitz170ayjNuG-7skw,3809
torchao/float8/float8_tensor_parallel.py,sha256=DXTO9BPD5qARCBCrfmOBaA54AMXu86Ja-BGWewfaXzY,10428
torchao/float8/float8_training_tensor.py,sha256=jUU-0oQJQn16bbn6Rl4gm9I-FwLS5frR4TVxv3TVhSs,14723
torchao/float8/float8_utils.py,sha256=PLVB97uLeF9orCTw0im3rETW7tCTSnGY3K2DDeNOf4k,8126
torchao/float8/fsdp_utils.py,sha256=QLZpgW4fOWkTmJPYX0GeE-lxjBWLHdkzyKHNFyj_ubc,10202
torchao/float8/inference.py,sha256=153B6ff_M0pqcrwHji9pzHaotqWajFz5dndwWcLEAUw,10367
torchao/float8/types.py,sha256=mSSUqnlELNJAK2smIA9Wv3KOAwtle02d2zdSiJeRth8,562
torchao/kernel/__init__.py,sha256=g8AiKMg-Ti70sP1241jLsQ9_dwXvfmfIwIS7ZrKm-Bc,204
torchao/kernel/autotuner.py,sha256=TVtIriPujhXKAHHJQuScUEpPm-qaf8BSdGxxxsIEADA,7581
torchao/kernel/blockwise_quantization.py,sha256=cb-DwEa64OH9h5V5hDOlwnlG3e4Hjr-ngzcaWgmgfDk,13139
torchao/kernel/bsr_triton_ops.py,sha256=_peP7RA7b-oMhd7Rvf1H7_0mT_EYr3i_S3EdkFnjRo0,22237
torchao/kernel/intmm.py,sha256=_sD40OYWTDA_v0qv0-ASG6PNtsSCY9nSsEI2U4LNY3o,6659
torchao/kernel/intmm_triton.py,sha256=JIpTUXlW3GeWv2s-yhXD9WaeC_u9ISYgYpfb9daYJ_s,12079
torchao/optim/__init__.py,sha256=xxi38BPesjIo6GMfQAz5jyrshOBdTTcH024NsGSK2CM,284
torchao/optim/adam.py,sha256=iLGxoiVcAAP531-8xyUQWp5rXb30lxFwsSFISHqJmfg,13221
torchao/optim/cpu_offload.py,sha256=qGsXNiiP9aGBKwTla3OQE0V7jtc4_LN2KY38flHU5EY,7227
torchao/optim/quant_utils.py,sha256=sMFAnrtmVDmbyQEjBIn48eK9trGpb7H-kAUBMd4pqTc,6207
torchao/optim/subclass_4bit.py,sha256=T8V7sh9dVko9M2WQGCSl_UnSXcR8eJ0s6Q3uJimbkTA,9730
torchao/optim/subclass_8bit.py,sha256=d2cyb92SeNC-rMdM1_b-R_sM7MFTP5pUeeZMsMqb4dY,8221
torchao/optim/subclass_fp8.py,sha256=Ya2XqfiRbQaQPWRFM6S3Sz9BL36ZTW7v2sS7mLbgNjs,7353
torchao/prototype/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/_nf4tensor_api.py,sha256=fBVTPA3FirFwm1kE6w4HJBiowBuLKVSfbyz-U24AKBM,1144
torchao/prototype/custom_fp_utils.py,sha256=3o60B3UQaE-bfAP2vkjy2uHRmcNblT7MSgis9yeCll0,8337
torchao/prototype/attention/__init__.py,sha256=vlfiKhbF6_PqJxNq8lngGAeJKnJI9uwV7ME3fAWtbKw,565
torchao/prototype/attention/api.py,sha256=nQUetK0Iuzcoi2HdeHhz9MPwfdQr4KrZw2qxOB-gxQI,4280
torchao/prototype/attention/utils.py,sha256=tChrOOKcM4CU1EOk5uc2zhXfoFp-F6yuxV1hAL3t3g0,916
torchao/prototype/attention/fp8_fa3/__init__.py,sha256=WmVApFmlvLvR8wWgsa1AuY_ii9OfOriDy0YmKP2XvJA,515
torchao/prototype/attention/fp8_fa3/attention.py,sha256=voN4r3t-cSLCOc1D-hJaBWJ5DRD9ae8U2hm7DRcuJqg,1272
torchao/prototype/attention/fp8_fa3/setup.py,sha256=KuscSoCSSQAvbHdNH5lwrHoSd9e29oPXY8h400kDNGw,780
torchao/prototype/attention/quantization/__init__.py,sha256=O2EhSXXLdIQnXpI_xn84-W-ntt5JCTUh2Xqm09IJNZM,1152
torchao/prototype/attention/quantization/quantization.py,sha256=6Y6YWHJ1xk0i6upYQO5_VqiGXIECtYkz5FaL78D5UAw,1502
torchao/prototype/attention/quantization/triton_hadamard_qkv_quantization.py,sha256=WJgqVT6Tahs7v0qHq4TUGIOaCAiqdsh-q3DPJc5c4ew,12300
torchao/prototype/attention/quantization/triton_hadamard_rope_qkv_quantization.py,sha256=Nt9TbN__g9bKokpt8eEZ4e8nW_9gk_E0Rqap8EexDF8,19357
torchao/prototype/attention/quantization/triton_hadamard_utils.py,sha256=uy3A_CGjtMZ2qeFtpmHZPT-r3D81N-8LH56obhUr4-g,7167
torchao/prototype/attention/quantization/triton_qkv_quantization.py,sha256=cFtu9xVPkl6aumrNrslllY4TsA7Lx2RG4ohvXLKS1Vc,13062
torchao/prototype/attention/quantization/triton_rope_qkv_quantization.py,sha256=WYpUMTSVnPWBIdWWDALWVxqOlxpoAmzTA-DqNz26X5g,22603
torchao/prototype/attention/shared_utils/__init__.py,sha256=JzLgwLNn2mRVVoaki7CUYSIi4TtE8W3GBZCF2911-Cc,211
torchao/prototype/attention/shared_utils/attention.py,sha256=6U2G2yypVBusP67iNmi3dE96--xWgkiPkeWlQEY_ejE,5020
torchao/prototype/attention/shared_utils/custom_ops.py,sha256=l71LR_ncgho3X5RkxwuQSVKXpCghoAuU-ULKW_q8cYs,3448
torchao/prototype/attention/shared_utils/fusion_utils.py,sha256=9r9bjgqqUJxKUxJU4DRxeljkx9vUYO4bTiKfXXXfx4Q,35735
torchao/prototype/attention/shared_utils/setup.py,sha256=GuZ-72p4FHEhcYtRw7Z7G1ymFR0d3JuqhiR3Tb3quKo,1402
torchao/prototype/attention/shared_utils/wrapper.py,sha256=Gt_8-iWpCaUqF4S1OeEP5shDBvAt2WitRsn-cS8RIBo,2818
torchao/prototype/autoround/__init__.py,sha256=Q5FGD2VVzmd5sY576C0kvoZt2umUrIH5_evYxhP1hK4,284
torchao/prototype/autoround/autoround_llm.py,sha256=cjs_v93gp0kRwc7wexZl0-Dzr55DAbqjn-rPgZ2qVWY,6258
torchao/prototype/autoround/core.py,sha256=qp7w-cVGWLgkk3XTZb_W5FCIFg2vXVe1JLHL0bvWpQQ,16605
torchao/prototype/autoround/eval_autoround.py,sha256=Q45n_hBZmmOQ1ITl2zRpA6aC-IkeNpzIfuLdltU_ZUI,8593
torchao/prototype/autoround/multi_tensor.py,sha256=Uim-HBVea4dihKlY1ToEjKj5DXrEr2DWXXTT_X2W0bM,7063
torchao/prototype/autoround/utils.py,sha256=JhgoPlIa3D_MGlD_Rf_qYk7nZy50dNAJkE2so89XMB0,6197
torchao/prototype/awq/__init__.py,sha256=kzBP37sslPQwyNacTFoKcPGxrSf26su27lIa20m71Cw,120
torchao/prototype/awq/api.py,sha256=wWHwfXOYZkZa9TPHJx_fAtDEHGucK9-gyJtX-O7wKWY,4634
torchao/prototype/awq/core.py,sha256=az1Qem-YjT3qSeZ2mI4oeagUXNlXcSzHmZ2JgKfm4pw,4179
torchao/prototype/awq/example.py,sha256=xHFck6hNmXbUwEDB8tS6j5rO49VQ_F6kcBtieAXjo8s,15323
torchao/prototype/blockwise_fp8_inference/__init__.py,sha256=VcUFiZcPx7yX6cYt2-QJ_2pFMlvuVhJODvX_ay8emlk,395
torchao/prototype/blockwise_fp8_inference/blockwise_linear.py,sha256=MXK6vRycY6NRaapsC8SLCyBrD5BOvT_wPfhKJrWFK1w,2467
torchao/prototype/blockwise_fp8_training/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/blockwise_fp8_training/kernels.py,sha256=wFQQkEYFI2TfjVcsKW3N2DpsOBXyA4diP-ApIZED1z4,37896
torchao/prototype/blockwise_fp8_training/linear.py,sha256=lWzCPm6_oPw8-PsjiRDbdX-7I00pqdB3L_jf9b-qmhE,9374
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=YGY-ort5HH2my98vew_KD9b55AxvlmsLOsMpDxWkqRs,11578
torchao/prototype/common/triton/matmul_perf_model.py,sha256=DKCG4UJEr3J7Y6opoysCCu7spa6Lmv8B4RUWQVkVqdQ,8414
torchao/prototype/dtypes/__init__.py,sha256=V7-zR0AGjK0nkjOqVLDlpb9rd5T8HXPBuJxlxJonkfw,236
torchao/prototype/dtypes/uintx/__init__.py,sha256=V7-zR0AGjK0nkjOqVLDlpb9rd5T8HXPBuJxlxJonkfw,236
torchao/prototype/dtypes/uintx/bitpacking.py,sha256=jwavloc8IAJbR-RQJBKfYzagYFrJjehAd6XdzjzLrnk,8355
torchao/prototype/dtypes/uintx/uintx_utils.py,sha256=M7yhN7e9A2tZgEf-ENOkgVW341qmEtCOubzEulifiBU,5782
torchao/prototype/float8_opaque_tensor/__init__.py,sha256=jXm-Ifr3fzEwYRu4q1QyFS7tbfgJIx-FeJ8nHhStfL8,241
torchao/prototype/float8_opaque_tensor/float8_opaque_tensor.py,sha256=Aebx_hJ8Nx0c6C-67e6__j8JrFLjptKyeOjlg52lD8c,10376
torchao/prototype/float8_opaque_tensor/inference_workflow.py,sha256=HKuKAv-wIZLExZ__2ibh9V96vwFJMKqkA6vxVJmaMto,4233
torchao/prototype/float8nocompile/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/float8nocompile/float8nocompile_linear.py,sha256=ciS3y42JZ1khdy-vI0l141kvHWKBqMnQFLUIRsPdQME,11645
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=4R2F7oQP5HWSnOmgjd5npyYqLowVS9OFgrQ9lYhKz9w,5908
torchao/prototype/float8nocompile/kernels/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/float8nocompile/kernels/fp8_dynamic_tensorwise.py,sha256=CSnATSqyA0MpbKu9UNNGYPp7wPyo7C7QlEa-CBoy-dc,33237
torchao/prototype/float8nocompile/kernels/fp8_dynamic_tensorwise_test.py,sha256=T-BoB-e7eA2E41sHgKZeWpSZ9txVli232GUu6sK14fI,15696
torchao/prototype/fp8_sdpa_inference/__init__.py,sha256=lhBMNzfKFCil8tDmh6wLdPOo9oUk76Zld71j08xtQQw,316
torchao/prototype/fp8_sdpa_inference/fp8_sdpa_attention.py,sha256=g2YrHa1TmF210eVMEfXPpvAkd2aIRtAEFIdJEX0ZXi8,2322
torchao/prototype/fp8_sdpa_inference/fp8_sdpa_quantization.py,sha256=WgkDveRagxQ_J4O4rIK8m7I7K94QSF7c5EupZVIN17c,25070
torchao/prototype/fp8_sdpa_inference/fp8_sdpa_utils.py,sha256=tKEVtJcEJ8FA-wKUMkKhRBQ6uebDsjlGxjFYjiY_R3w,2398
torchao/prototype/fp8_sdpa_inference/test_fp8_sdpa_quantization.py,sha256=1R9TayuwdEuJ8vXGO3OEzDNvlZb5c1z3fFTTi_we4fo,9892
torchao/prototype/gptq/__init__.py,sha256=48715Jyp8S-JU5QWFBSmI5bngqmj173eliuWgRW2hnY,336
torchao/prototype/gptq/api.py,sha256=LfHlMFAxdONHffBVxD904iDEwskdDMIT7j_lVzBqak4,25933
torchao/prototype/gptq/gptq_example.py,sha256=FfQLMXr9jPP43YHrhSqq2O-wU4vidgKzYz_mx9nXoMo,21003
torchao/prototype/gptq/observer.py,sha256=4Tv4N23TcjGOXELHGfjK_rJaWYBetghOBjTLtpqwsq4,6664
torchao/prototype/hqq/__init__.py,sha256=J0TPdrWOc-vu2jCx8YBiyhq5CkkfF17dchsDW1-NaSA,108
torchao/prototype/hqq/hqq_tinygemm_linear.py,sha256=b6102Tc3FecZ3dqfwFkD6Y0LJIZqTIIbZC1uPjdxdFo,8482
torchao/prototype/hqq/kernels.py,sha256=2ZNv9wlj19FgYBKpOKuRe2o5CtynJzo_BW1_sVQPPCg,14643
torchao/prototype/hqq/mixed_mm.py,sha256=hBy_4N2zF9avwxfJkhVUREpCk5DSCMQJTXcNX0mQ7EY,5724
torchao/prototype/inductor/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/inductor/qsdpa_lowering.py,sha256=fGAw-puNlyn0TS3aq1obRUUcnJ2MIcsiQ-Y7OGxqSww,4844
torchao/prototype/inductor/codegen/__init__.py,sha256=f8es7WxLvWAxJm30wleXgqosTw1yPuTniwHcGG2Cejc,98
torchao/prototype/inductor/codegen/cpp_int8_sdpa_template.py,sha256=r8UIrkA171gadzRtEt8EZqZhFrgOojVdqGUQPJl_Yao,64060
torchao/prototype/inductor/codegen/utils.py,sha256=WpB2jOaQKYWKl9QgExeXjEGNfi72n2WZsHr1TWUmoEc,354
torchao/prototype/inductor/fx_passes/__init__.py,sha256=4eJ6F64Rsx9RjJR9B4GERxWL3oLydizJhpOQWt6qpRE,199
torchao/prototype/inductor/fx_passes/da8w4_concat_linear_fusion_cpu.py,sha256=ZxS6GaMn3dx5G0flRWt5S8_CnUHR5K_6vrakuA7nvhg,10718
torchao/prototype/inductor/fx_passes/qsdpa_fusion.py,sha256=dEuIRc4RT07q0jiuuoxKl1Jf6gmsQOGi7UC7UPoLisA,14919
torchao/prototype/moe_training/__init__.py,sha256=y51uu9h-wD68Er7oirPaZ4f1KSEDQrNeTFH2ckFVigQ,309
torchao/prototype/moe_training/config.py,sha256=M56alClGCzppCNR999gxMkjuiLsrCLzvY0gp46Di8kI,9446
torchao/prototype/moe_training/conversion_utils.py,sha256=rSZspTfxd2PJCdWejS4XgQcHSJcbq3C2t0vPITBepn8,4430
torchao/prototype/moe_training/fp8_grouped_mm.py,sha256=d23nym1Ac-X2TqtCNzmS9CM0G7V3eIJrs4atoZPY3ac,13249
torchao/prototype/moe_training/mxfp8_grouped_mm.py,sha256=hsgZv_FcQ8df43k8gWWi5GMStLbdSk7NdVPNkkJbMKs,37703
torchao/prototype/moe_training/mxfp8_linear.py,sha256=WJKp85z4Su0kZYd7ZXs9YfbXBqnIZQq0QFDwhzCi8Gw,11436
torchao/prototype/moe_training/nvfp4_grouped_mm.py,sha256=zAMEHZK_z0JraW181oYKTOj8Mzr5dXEwlzPu2QFgvV4,5765
torchao/prototype/moe_training/tensor.py,sha256=2WixiinQHykofrqoZ7_C93Pi5O811RkGR-hlSFZvu7o,12118
torchao/prototype/moe_training/utils.py,sha256=pk5d1hezpg7LCzKgt2KFynht5RvjUGbUWmyVFCusseQ,19518
torchao/prototype/moe_training/ep/__init__.py,sha256=EbajmpuzzODn0UI0gLJcnygTLo9Y7g0h4bkzznm1NEE,1154
torchao/prototype/moe_training/ep/a2a_combine.py,sha256=x8TOpzhLTUArTYjZc8MBujUvq1DO9S53noZt9iWnHx4,6803
torchao/prototype/moe_training/ep/a2a_dispatch.py,sha256=VYlpZFJhuUrPkcZbwutG4Fam4NXTG_RA2uKJ-ORNCqs,5653
torchao/prototype/moe_training/ep/kernels.py,sha256=C9SrpOvCrpYiQEninKMtoteHB0Luw4PiiY4WlJWhjT8,7067
torchao/prototype/moe_training/ep/permute.py,sha256=ARLMG3dCrHxymvb2Q7vhmarocgE_tP6QRH9fK_v9-0I,10650
torchao/prototype/moe_training/ep/unpermute.py,sha256=p_yMHI-4Dgg4fA9Rr93n-gjNvzQc0qrPG_EiZvrQfE0,4931
torchao/prototype/moe_training/kernels/__init__.py,sha256=gelZvxIBKjL5AhUgWqN1a94o4Un7NidsQt4GZcA40_g,932
torchao/prototype/moe_training/kernels/float8_rowwise.py,sha256=PluKcuf9OTKYPt24f9ryIBaGMiDiEDDNvpRpp3Rb1X0,36753
torchao/prototype/moe_training/kernels/jagged_float8_scales.py,sha256=dcybxkGryhWu_mr4EovdwA3-iCUV027jqoPMm6oFBOw,36630
torchao/prototype/moe_training/kernels/triton_utils.py,sha256=PhmZapEwWT-Y2edTVxBXCAsJg78hzfTdL9uIB2de44s,5699
torchao/prototype/moe_training/kernels/mxfp8/__init__.py,sha256=ovfcQaYcHlnBOqCkr0mfmOoeHx6EQLl1yCLtTl6VGc4,812
torchao/prototype/moe_training/kernels/mxfp8/comms.py,sha256=tACY1HcBaeQ-TlSzPbk2di4UjU6YTL6C3TbPvjv1vyQ,22320
torchao/prototype/moe_training/kernels/mxfp8/cute_utils.py,sha256=GkNGrfDwsGON6Y3jQREslMKhefH96fS58want31NygA,8746
torchao/prototype/moe_training/kernels/mxfp8/cutedsl_quantize_2d_1x32.py,sha256=MS44VRHwl5qc-SjGY3PNegitenu6zTw7wBwttXviGsM,42204
torchao/prototype/moe_training/kernels/mxfp8/cutedsl_quantize_2d_32x1.py,sha256=BD2FijWFGZztr-vXiiYA2tqeqbs2xTgS9x4-byE_Oqs,43306
torchao/prototype/moe_training/kernels/mxfp8/cutedsl_quantize_3d.py,sha256=bgA70GrqJKVsWca1JKySp0TOInzsRMtRJXuRgP4DQlk,34461
torchao/prototype/moe_training/kernels/mxfp8/quant.py,sha256=p5xEcsxuiufdzTw2wTd78qtYS-3XmLIwaQco0RavzEE,58636
torchao/prototype/mx_formats/__init__.py,sha256=VuMMbVinECVU0JBxVgCUG7BB5F7IABLqTvOq8JwJhro,506
torchao/prototype/mx_formats/config.py,sha256=SBzv7wO8x1bH4G9Atw_c-m1rvP6zHDY1TIqFakM2nfE,3250
torchao/prototype/mx_formats/constants.py,sha256=7yOJrjgkZWe0aQFOnZEcDkySKYdP73ddIY9cPXZWQJo,1853
torchao/prototype/mx_formats/fp_format_spec.py,sha256=XkUrk3HUp_UplwPjv212oulvH_XCAxlkgjY8Qyg7CSw,18283
torchao/prototype/mx_formats/hadamard_amax_triton.py,sha256=dHliU9GCHBWrJHak98W4XtWR7WEYsOzaKLAKoXROMPk,6839
torchao/prototype/mx_formats/hadamard_utils.py,sha256=N6qIhLEQ6jWRJf-75c78slGKuirtK0RuA4WixkN17Ro,3921
torchao/prototype/mx_formats/inference_workflow.py,sha256=mgR3htbuWDd21Gz5RhpDqpMp326UlyHcQqmXm5V7MEo,16305
torchao/prototype/mx_formats/kernels.py,sha256=J0z5SUyC2IXYSpBnR5IhcXWh-XeWT2Mtbt8HDRCMgCs,48391
torchao/prototype/mx_formats/mx_funcs.py,sha256=5OIM1BTilj7dyrNSo_9C07W39kkgwlxKlXFXmLIjuOo,1170
torchao/prototype/mx_formats/mx_tensor.py,sha256=wHlhj3-D1totEfPvZdoG57dwVtbeLw-39c0a_miYNeU,38617
torchao/prototype/mx_formats/nvfp4_tensor.py,sha256=rKs8Z1UUG_Mbl5iRpQAQHC5jo1lEuXloslLcuFTBYM0,32518
torchao/prototype/mx_formats/utils.py,sha256=bfg55NItc9dGGdgkwtBV67YbA7fzbSzrKnd1cs9g-t0,15512
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=OZRE4jBDtJawn9HLYo-4Tz9Ii1hS6Hq_55WKaxD8yS4,637
torchao/prototype/parq/api.py,sha256=FuPpaWFbHSAmQLJmAuiqaT9ysSm7GvO1-zCa2qXXvB0,5040
torchao/prototype/parq/utils.py,sha256=8KyeezL39iS-c_vC3HNjPlk_5NoZHoQoASP-uOEKGg8,1143
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=9Gv4PUKEeFeTT7wb0g-AY0bX-KRJRUET_Ji8D_RDv4A,15584
torchao/prototype/parq/quant/__init__.py,sha256=LxmVu_nxghirzehwepMU-GL0iqtmX0MN5QtwNHnDAoA,616
torchao/prototype/parq/quant/config_torchao.py,sha256=Zy0A_Wv1O83mvLhKpqt52pmhWoNC8AXS1jLh9gSQZlc,6940
torchao/prototype/parq/quant/lsbq.py,sha256=DyDBf56nJypsndlxhjUHSGWRqwjWBv-pmsMPvwJ0P_w,10838
torchao/prototype/parq/quant/quant_api.py,sha256=9qzWTEyJgeeo6dHbPyTnk3WblKLfimW5EopLA9PH_Ic,3225
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=0uWlx6CdlKTioYXkkGZi5bsxAoGxb2aYQ67aapxNWa4,5823
torchao/prototype/pat/__init__.py,sha256=1u11jfzdVh2ZQGXJGLKJiJfg93_7pw1GiuM1likyIK4,582
torchao/prototype/pat/distributed_utils.py,sha256=WJY6A78gK7lS1Cx2-HjcCp5ASVnxvrNuoFlsBpcnkU0,1453
torchao/prototype/pat/utils.py,sha256=kpvunG0mOVzvgez3Jd1EoPKIE0r7VUjgf2A39af1n84,6120
torchao/prototype/pat/group/__init__.py,sha256=M2e1PpT7BoFHRTzNTpjyzztnQTuBTGVCUUJdyvX3-e0,571
torchao/prototype/pat/group/attention.py,sha256=bj1JoZ0nL5M0DswQyy0-DmAmz4nVNXrxNPoLJ4qSUjs,1667
torchao/prototype/pat/group/conv.py,sha256=sx-RGldtDFAzFyItyOeRHOzNRA6-0qVL7B3C8-rzbWg,582
torchao/prototype/pat/group/dim.py,sha256=AYI_VH-hs7cN6t9abKOXHH8VYsY0eE_voRwbZthrk9U,1310
torchao/prototype/pat/group/grouper.py,sha256=yfV22jqm26iGTKPvp7f9lCU97Ig3LeVzM7UynpM_TIg,960
torchao/prototype/pat/group/low_rank.py,sha256=2iif-wqOGcArxmQdu2-7L0htbeuYH2cORvB1Xvh6_Dw,1916
torchao/prototype/pat/group/packed.py,sha256=pS2hzSblgbQeF5mNEBkPyRWK913tOOKA0R3ZOAKvbbM,897
torchao/prototype/pat/layers/__init__.py,sha256=8tRyGmRJ8bpp-jeDCzNJnmDH1n-Ji2bhG6gYus9OAh4,289
torchao/prototype/pat/layers/masked_layernorm.py,sha256=E5mFhk1s5iescBAFAgPBTaLEdkExO5TP7FrUrOzGhBc,1754
torchao/prototype/pat/optim/__init__.py,sha256=9wLqTngGaWZGA85NjK028zfEb04f1pHvKmhvutFi1Xo,1215
torchao/prototype/pat/optim/group_lasso.py,sha256=ldbviK-mPozKLRbRs7GQly9ffpnFVIHQxkwIR2ExC-Q,2034
torchao/prototype/pat/optim/iterative_reweight.py,sha256=wAl9ejLmfDoILK8izgbYH9a4LGhb1TOUr5xIQcsKvak,1232
torchao/prototype/pat/optim/lasso.py,sha256=w6CocTN3cr8JdwFGUdaxWF-J3cu9vhCvSjx7pLDWeBA,794
torchao/prototype/pat/optim/nuclear_norm.py,sha256=K7yCZhKta06j3u8yVr1Mh75l3a0dt_eBhcvMTjntjOY,827
torchao/prototype/pat/optim/proxmap.py,sha256=60bquKipHC8bytAQZADjchWhUfEjdoOZnL-J7usJ8Vg,1657
torchao/prototype/pat/optim/pruneopt.py,sha256=emY48Puear8Ws6baMdW7p-olwdgzdi1NW8J6V3sp09Y,23032
torchao/prototype/qat/__init__.py,sha256=W9dw78RMKjDebhGm1e9a-jsF25xwsDyuHUTzjPeJWxc,395
torchao/prototype/qat/mx.py,sha256=oQ270rX3ICCweC_Jok-_uCmbwm1822Z25SK_LyJMCNo,9270
torchao/prototype/qat/nvfp4.py,sha256=or7Yi2ab1O2L4TsabvAVNZO_Hv46YXl1HQvGvgl6w8E,7476
torchao/prototype/quant_logger/__init__.py,sha256=FsAI-Ge5irPnhRHtf7DIomdjJ_vBrj52dpB7eTr-kQc,864
torchao/prototype/quant_logger/quant_logger.py,sha256=wZs0iq1FuV5FuWE_R2B8q5EFqKd0FRqW5CvBRv_Lj5Y,9785
torchao/prototype/quantization/__init__.py,sha256=U6WWTjTI3tg2pNXOomtSzq3ObS6oQewsYN3QTfIa310,242
torchao/prototype/quantization/quant_api.py,sha256=EWL7kSb040LZgvTVx8mas_djLEmwZySRzfMVG4J2Kco,26665
torchao/prototype/quantization/codebook/__init__.py,sha256=gqgIzP5Vg8_QFv4hai6uuEemFprsxZhsSkS7dVDLIWc,349
torchao/prototype/quantization/codebook/codebook_ops.py,sha256=bNF1OzSauFqDRGJHGFqUxD4-60oCW_IAwiAcNscYaME,16020
torchao/prototype/quantization/codebook/codebook_quantized_tensor.py,sha256=E1CASQkb-JXtU3HWAUHdNhn-MHFzQGQovwjHe7Gx9ps,10012
torchao/prototype/quantization/codebook_coreml/__init__.py,sha256=1xsI8-FSAxGL847xUxWsVyoLUp5vL7UchGGVw5J64zU,365
torchao/prototype/quantization/codebook_coreml/api.py,sha256=JlRtf8zBIIdhUbCr7SGoiNQIc8HS4e2f6phehdL3cGc,1471
torchao/prototype/quantization/codebook_coreml/codebook_ops.py,sha256=MvjQBJCU2nIQbcw--QHj8aD16Ep5KQl4QWIoVTb5o2M,10103
torchao/prototype/quantization/codebook_coreml/codebook_quantized_tensor.py,sha256=Jok9or7_pJaRGx4dDnB9sED6ORhAI4j-KNgfhovj2bQ,7232
torchao/prototype/quantization/codebook_groupwise/__init__.py,sha256=xQk3l7wfaG_FNh8Tr1VxuTH_q14FIjAY-95KEJjgboc,253
torchao/prototype/quantization/codebook_groupwise/api.py,sha256=Lp_ze88vfXDCG3QmdcuhOceXyce94auR9KgAnIKa7JM,5757
torchao/prototype/quantization/codebook_groupwise/codebook_quantized_tensor.py,sha256=2c9W5-ZbCIxhc0BpuVYTl2egi-YSJ3TJk0KpV30YMHo,7300
torchao/prototype/quantization/codebook_utils/__init__.py,sha256=nV2GDHUlgp0Ul0liBGvR8eGuegs8wpWWYlk0k1FZUsE,381
torchao/prototype/quantization/codebook_utils/codebook_utils.py,sha256=T6khi7e9YIqom4-p4Dvi9siwchnD2W_ipPdnC4v1HYs,18658
torchao/prototype/quantization/embedding/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/quantization/embedding/api.py,sha256=U7aXWL7cokN5JthvimoiuI0idaat3uAivf46Yyxz3hk,14995
torchao/prototype/quantization/float8_static_quant/__init__.py,sha256=XxzuarrCBGlZ8wchnA5HhDGBhGXBlcUHBIrvhyWH3oU,88
torchao/prototype/quantization/float8_static_quant/prototype_float8_tensor.py,sha256=lc6Gd2kc7HhuN1frwoCtlox1iRYf95fYYaJCmWFDEvk,43088
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=9DxxQblbW6RBp8vWVDhuzrixQ9PPuH7ssL3Ud6FxXYU,8263
torchao/prototype/quantization/int4/__init__.py,sha256=-UakRDD-PXHiAxGpwAwW5M6RskTIDSrWGCiehEpsRUU,284
torchao/prototype/quantization/int4/inference_workflow.py,sha256=qR5z7F1XYY-oF4459FTKJEIz70byENvBUNuvVKCz2jY,6059
torchao/prototype/quantization/int4/int4_opaque_tensor.py,sha256=WbXEp1udmaX4Z1bdX6dkURZtHuuwWH1dGiVbRoPE4NI,15412
torchao/prototype/quantization/int8_lut_tensor/__init__.py,sha256=q-_1_e2eDjxmw50MYbCupndYUsH7AoJcIVTFhMM2uC0,79
torchao/prototype/quantization/int8_lut_tensor/int8_lut_tensor.py,sha256=0FuAvfX9lZb_zGc8PSvN45dMAOfbsAEJB_qSKm4pry0,7381
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=qPWF74UVfCL-Bu0noaxpJWM8ow0SHhpwRtBDtMPWLEU,4937
torchao/prototype/quantization/mixed_precision/scripts/hessian_grad.py,sha256=Cpw8qmzsvHmQMNfZfrNBfJmCDrifNyb0wCyBAvucQlc,6279
torchao/prototype/quantization/mixed_precision/scripts/hessian_vhp.py,sha256=xtFre7hCaMFNsMo0GKA9KDvxSru82r7vXJelcuhFQpA,7198
torchao/prototype/quantization/mixed_precision/scripts/mp_quant_eval.py,sha256=RUlIij-culrwUJqbYF55zeWdQ1uiegeV41Z_eszA46E,6323
torchao/prototype/quantization/mixed_precision/scripts/naive_intNwo.py,sha256=TUd6too_xkg1tpbtKHBJjV23jpasNU7iBz_cI5Qz0fw,4165
torchao/prototype/quantization/mixed_precision/scripts/utils.py,sha256=KRN_tnFlgFlbkX3CD4rlJfMIa6K5MN3jFDxdSacApeA,5385
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/uintx/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/quantization/uintx/uintx_bit_packed_tensor.py,sha256=Pa4MUf5b-JzcaV0enfNc9rdHdBFNZu6Pz3Uw2EqYAZo,14250
torchao/prototype/quantized_training/__init__.py,sha256=rQPVY8Gw2pWzNYDY35kq6-lF4FA_EY9NTicT1NkBGJw,825
torchao/prototype/quantized_training/bitnet.py,sha256=2j9Z05rSB0UQ7Fj0H2UuzZBYZV0-VTBAI3s6J5ABYH4,13736
torchao/prototype/quantized_training/int8.py,sha256=qPwytontfrtPiIu9p2XpuqbmdjY1kY0XrqJa2u6zsyw,11348
torchao/prototype/quantized_training/int8_mixed_precision.py,sha256=9rZKPjBnu0S0P-1_QtQc3VI26aZus3ytjRuSRmFfdXM,10661
torchao/prototype/quantized_training/int8_mm.py,sha256=pNY-PDaIo8UGxwhR1QEyNjszXAl5FQMdp7S1FqxQh8I,5823
torchao/prototype/safetensors/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/safetensors/safetensors_support.py,sha256=yDmTZAO2Pw45iNbeJwF1BZdTW7wI8xNp93Ss3hSkz8I,7258
torchao/prototype/safetensors/safetensors_utils.py,sha256=p1Krzy1D6D5uWlMwmAlsQgVxIIaWwKevSz2DVdVDloA,8746
torchao/prototype/smoothquant/__init__.py,sha256=Le2SNeN2DKaSkdXnsU3c7gyi3eoreUnjYOzN9znaDbA,291
torchao/prototype/smoothquant/api.py,sha256=coxuPqEl_hYJG-sG1e1uymFvZQt4G1W2BzFD2me9Vjs,6039
torchao/prototype/smoothquant/core.py,sha256=lwYuzQbNsaXcWrdA4GLYhl_Hc6NFIapzAhCZHKFNztY,13291
torchao/prototype/smoothquant/example.py,sha256=yCU-sW_zvIXmcf3HAzpolmaeX50dl_eDMekqlBsPBVo,9691
torchao/prototype/sparsity/__init__.py,sha256=hOt7VNgWKMN2oPDvWXw-oonefnHFGoznJzmrGSSMqQ8,963
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=FvgsRubXZx6NLTx8JIKD6PvQhEupy6bNEhqFjoBFiDU,2332
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=owpwHW-NumdHUAVPNlC_x4h2nBBm1AzcH7CMYKWIbEg,1628
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.json,sha256=LASZK7B4PUv5OS_uNTDS9lXkr1_nLWcCgssAskD7lUQ,245815
torchao/prototype/spinquant/_hadamard_matrices.pkl,sha256=QCF_5XCERmMmbVylAMjYD4PUDxiwI-etPyPKXnNo-NM,344951
torchao/prototype/spinquant/_hadamard_matrices.py,sha256=KZzNsa3OdiPySRt5MangKowtukGQGS0P7rL9efga1tM,3061
torchao/prototype/spinquant/hadamard_utils.py,sha256=XXk3MugJWao5lJOb4N1QryOyJxVueDjTfc7MafziauA,8452
torchao/prototype/spinquant/spinquant.py,sha256=OSFGQmD0JK_1eJ0vbg7lYEPxd21WjV_HA9vCbvEVD8w,10965
torchao/prototype/tensor_conversion/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/tensor_conversion/api.py,sha256=7VbCKUCG9PdFtpPD6JavbWNvpwICfBWx1UJymqGbYJM,6929
torchao/quantization/__init__.py,sha256=pcKq2KWIfJbdtJgfLDFeqvhCXtDnJPAownu1xJocrx4,3262
torchao/quantization/granularity.py,sha256=7FgPPPpGX2cJAj41L41xGkKdnxGPHaZkIVCZgNv5TCc,4355
torchao/quantization/linear_quant_modules.py,sha256=7nm6T4HFsyDnbDCrBiyL2WHCWRAnikBujHqmp7wgrq0,21234
torchao/quantization/observer.py,sha256=8Be-38W4AJxj1dBBl-XyyAS5Ax2bfFAJr1_WRu8H5B0,13419
torchao/quantization/quant_api.py,sha256=3Ojj59Ig0DAvRD8NoeaUJzRyJo2vS56_Xpb0R96iH10,68517
torchao/quantization/quant_primitives.py,sha256=em3id5gDeQ872Pd4o4eprEMNeeRD4YeSuKN9zI3qNoU,92314
torchao/quantization/transform_module.py,sha256=SxeJ41-n2SRmlvCaENXx6mPqVDMHNnbCqlxSMy2kEmI,1607
torchao/quantization/utils.py,sha256=V3k8UK9bBOxV0fI34USCPaFyCsD3pG6Oc_kXyop-Fzk,24253
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=dbpZUuGfmq853cqsaOqyWHWL6DOWbWjrlbNS_n0zDII,215
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=j7WRJMVbhQ8RSOTCxCqmH9DJYFVpBLxj4pQwWJhZLOo,132
torchao/quantization/prototype/qat/linear.py,sha256=Vu7wcfnPk8Vr9y2OqI85lMaS1uOMzGxe-SfT5GX93L0,623
torchao/quantization/pt2e/__init__.py,sha256=4SzLoNA8pxxYsX65bd1lS32zAbxTP47R07zfZgMg3RM,5577
torchao/quantization/pt2e/_affine_quantization.py,sha256=MyHoi8bnR-zWn_HaBNceVHuO5feEEj06i3qmDypTF2s,32108
torchao/quantization/pt2e/_numeric_debugger.py,sha256=_v8NVgZSn25MydLs0dHQLrDvLv3cAoCOfG6WJc_8PwA,14631
torchao/quantization/pt2e/constant_fold.py,sha256=k1ysM9OWvxvqymd0FsIl0ZSiiDio_4MbSFyHyvBzJd8,16937
torchao/quantization/pt2e/convert.py,sha256=kC75za5J5fOcamv-KlqlKjRBn0rrl3fmHMVcOcYvaVs,57390
torchao/quantization/pt2e/export_utils.py,sha256=LsIsmiKmRv0niCMARzbJ4TI9klQGl3b28V9PhZEvJ70,8181
torchao/quantization/pt2e/fake_quantize.py,sha256=N46kAzzh4Qm7hKPofXe-Oc6E_ARov0ZWin5uaodL_g4,31196
torchao/quantization/pt2e/graph_utils.py,sha256=SGlBuWQj6pNc9dYGArcyO1hWOM6cJ02WaMmX_vHEXyQ,6876
torchao/quantization/pt2e/learnable_fake_quantize.py,sha256=dcWuHb0PXbeYlDiLNHYU-qbyACpOevgUbEZfjwcT22g,8469
torchao/quantization/pt2e/lowering.py,sha256=jZTfWDRBATRXPHHyOMn8i_etyNQ6lOFUJsRnvDCZ1aQ,2097
torchao/quantization/pt2e/observer.py,sha256=qlZhftzbWsU9NjNCSsK9OJPL6HHOh0sszOuFc2JJHKc,73516
torchao/quantization/pt2e/prepare.py,sha256=VQ83bXnBx_6KoZEULuTXEW2jqDmM2RQzJ5iTdKi-sdE,26714
torchao/quantization/pt2e/qat_utils.py,sha256=CbLpxmTZSri-V3D2AOM-i0pMGLGyeBfUmR659Bq_rSc,36984
torchao/quantization/pt2e/quantize_pt2e.py,sha256=g-KoFNqh2F0gzO0_DJATjai3l1S5ywm0NRXv0am7Ye8,14096
torchao/quantization/pt2e/reference_representation_rewrite.py,sha256=Eylbn5RlLkYSitYe6hULuC-OTU3Hcg98c-CjYCZYdLM,41607
torchao/quantization/pt2e/utils.py,sha256=6oI_cyrc5Rz21CNVy2U-4m7yW_Yk_Kv0HwqvBDIKBOw,50751
torchao/quantization/pt2e/inductor_passes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/quantization/pt2e/inductor_passes/lowering.py,sha256=WCIoXsgJsPGNUbSQYBWu7L6dxL-usHKcb2io5s83oEU,3041
torchao/quantization/pt2e/inductor_passes/x86.py,sha256=D_H2lTfA9_nI3RR1sruKXIg_Gql0oWuhXuCcoJhbtRU,134665
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=E9E9wtqMAEWj2IUciOqhedi-IxCVYZIyWjv0Jp2bFm8,3221
torchao/quantization/pt2e/quantizer/duplicate_dq_pass.py,sha256=_k2dUg_nP-KGdKeCQ6QFjk7fqDdWgdsne8MYacsrp4k,3403
torchao/quantization/pt2e/quantizer/embedding_quantizer.py,sha256=y5nUk6JcLtYpUMqFNOdRfk66pZ9uVnstmZyUgE98Z8o,3661
torchao/quantization/pt2e/quantizer/port_metadata_pass.py,sha256=qC3w6FGPc07psEcXtIwRIfk0ysbOQSZ5v_Q9OWpryuU,11410
torchao/quantization/pt2e/quantizer/quantizer.py,sha256=RYy67X-DK6A6wlIFg4huRSrAxXip2tyKjfgN2AoI5Qo,6907
torchao/quantization/pt2e/quantizer/utils.py,sha256=6lvKL6Ej1pYxPHK3_tp2C1X21_5lAarr5BdmNRWz6Cs,6025
torchao/quantization/pt2e/quantizer/x86_inductor_quantizer.py,sha256=Y2cfdrDj7QOtsPZtLmMhZTZXbCsPaXr1AlPaeIgQyJk,67040
torchao/quantization/pt2e/quantizer/xpu_inductor_quantizer.py,sha256=TJhtYfUaMtWP1NxI7vwRlDucV8igP8iEbbQSghpSxDU,4044
torchao/quantization/qat/__init__.py,sha256=aw3tyBsITmZSWUhQp2VJ3gEKHhBg64WEuJsQTplXURg,1639
torchao/quantization/qat/affine_fake_quantized_tensor.py,sha256=8I6naED_6aMz6WN74v_D57wc5XEbel3AiJLNzf4ejWs,12676
torchao/quantization/qat/api.py,sha256=g96GknMyD7QJGH2_Inm3uF6Ih6ScoOMrVe7J85Ucix4,18223
torchao/quantization/qat/embedding.py,sha256=DX3uw71ROq4Wen1E6ednoFBxhtwCppk23db3IDc_Bys,13926
torchao/quantization/qat/fake_quantize_config.py,sha256=r9MUIZ1NPCqmvUmPD2588DKq7J2O3TjkCmJppqWChhE,19019
torchao/quantization/qat/fake_quantizer.py,sha256=91hJEzXz5Teb-4EbMdUFbhG8V_MeTkA8KzBAaPStVa8,12783
torchao/quantization/qat/linear.py,sha256=Hf3ypPTg16HVnjJPT9f1gMCkjtnpMC_czwgHY4PPqjo,22471
torchao/quantization/qat/two_step_quantizer.py,sha256=yfF9S8l5paCrmuLxhLMS0Q_5CCh7fkHMMThAsmbwkGQ,820
torchao/quantization/qat/utils.py,sha256=bt3hII0ZBaufpQa-QhfOePBRWX4WKbYMU7-RJfawAXM,2969
torchao/quantization/quantize_/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/quantization/quantize_/common/__init__.py,sha256=sjslUwx4t3oQO9ABI5kSz_iGCTUKxR5pgarFB_-m7yg,483
torchao/quantization/quantize_/common/kernel_preference.py,sha256=E4CsgjSiDel41Vvs4Hpebddi2os54UwPSDYUrTH8cyM,1538
torchao/quantization/quantize_/common/packing_format.py,sha256=TvCorSDVrQdPezAFtkOv4mItu0woqa-ts2YCBSztPQI,1502
torchao/quantization/quantize_/common/protocol.py,sha256=I2MJVsbAOePO4lJMxJzRuOgl2uBfg3VLpwG4asuuIFY,1253
torchao/quantization/quantize_/common/quantization_step.py,sha256=B2P8BScU82NAzunTdBqut4O8BtgdOhRp8OkqVI2-gQk,2171
torchao/quantization/quantize_/common/quantize_tensor_kwargs.py,sha256=ATEOZ7YpUQ8hsn5p8RU2Snlw-UEwEF6KlcyqdwZZ1cw,2325
torchao/quantization/quantize_/workflows/__init__.py,sha256=IQEnvNK2v7UPuu8E9wPyvfDfapRtnngBJxdZjB1Z8hw,1772
torchao/quantization/quantize_/workflows/float8/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/quantization/quantize_/workflows/float8/float8_packing_format.py,sha256=wBPoMf5BLRmguMtR-vE1GcyazwRI8sxkrV6ETo2gnEY,2384
torchao/quantization/quantize_/workflows/float8/float8_sparse_2x4_1d_data_1d_metadata_tensor.py,sha256=1KA_-4PcR57mBlp4r8J9MNh6W8p4t6sZ_mV54GKPI7k,9080
torchao/quantization/quantize_/workflows/float8/float8_tensor.py,sha256=b0knSi4BqVKUoXASnXPtGd1QdYLG2D8Ee9Bbp9D-m_U,38594
torchao/quantization/quantize_/workflows/float8/sparse_2x4_cutlass_float8_tensor.py,sha256=ThwRql6mOpJNwhGZeMJ8kREEQin0j6j_zKBd2cFvcrw,8643
torchao/quantization/quantize_/workflows/int4/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/quantization/quantize_/workflows/int4/int4_choose_qparams_algorithm.py,sha256=o0ZRdZVnBZPyxWXlz4T6LbMWiANX9ND8eJ2G4ncj7eM,1301
torchao/quantization/quantize_/workflows/int4/int4_packing_format.py,sha256=88G1X4PC1b46CpErIl9aUiZoYbpbVEBHRCcF3DbBOWY,1840
torchao/quantization/quantize_/workflows/int4/int4_plain_int32_tensor.py,sha256=kerb7CDpuipUoNv5fUwVOIq2bB4m1dsDO8qV42NfkVA,11634
torchao/quantization/quantize_/workflows/int4/int4_preshuffled_tensor.py,sha256=9EK5aPurWdaPEXMC4cHfmtkzVSUVw5otP7a5Y43vcac,12274
torchao/quantization/quantize_/workflows/int4/int4_tensor.py,sha256=_U8zNauRzk5Dy4Kjy237BAmnDwF6NfMK_gQdbZopcPk,22307
torchao/quantization/quantize_/workflows/int4/int4_tile_packed_to_4d_tensor.py,sha256=rlqTH3g_TUpWmMXQrdz3VXP6BCg_MCD0OuYOunsapls,14192
torchao/quantization/quantize_/workflows/int8/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/quantization/quantize_/workflows/int8/int8_tensor.py,sha256=I-IoCVpSuZBDYwvNeZ0hfji-YraDkDdISygx5BA0-Aw,18855
torchao/quantization/quantize_/workflows/intx/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/quantization/quantize_/workflows/intx/intx_choose_qparams_algorithm.py,sha256=ZJys8IpRWSTaHkNbP3akfOatSAb-e1aUc72Q0mc45gc,775
torchao/quantization/quantize_/workflows/intx/intx_opaque_tensor.py,sha256=VeECjqR6t4hqCcVrObOR6MSEfiAK81RDgLIu7oGuthE,12696
torchao/quantization/quantize_/workflows/intx/intx_packing_format.py,sha256=zR0QhiaXS4ijY7J6pFt0DyhktLapI96H_N7_vLcualU,1954
torchao/quantization/quantize_/workflows/intx/intx_unpacked_to_int8_tensor.py,sha256=1CsBiW94XMBsOZ0id5cuGnfLVyz4PaGojeet4PZiKiY,15574
torchao/quantization/quantize_/workflows/nf4/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/quantization/quantize_/workflows/nf4/nf4_tensor.py,sha256=PTxNYU7UiQMCdYaOFIc7ONijgt8XcG6fHRO6GOxZ_Ik,42620
torchao/sparsity/__init__.py,sha256=H4Hid7eWzoZZX0i7Sm2CaXIszXhDN3MD1Hr-zovjGv4,647
torchao/sparsity/blocksparse.py,sha256=DRN-CqkCVoxM9gX4Y5LLKiYfjtJKyDND6Pa1QveH1CA,9798
torchao/sparsity/sparse_api.py,sha256=7qFSgxc49B9rysR0gaS0kXKnyYFfSX5tb5656aM55Ks,5033
torchao/sparsity/supermask.py,sha256=NP5cRIXjGopDfIueezygOhJGvIA9HipOouaURJbaTI8,4609
torchao/sparsity/utils.py,sha256=-Oe8GsagmmAnn0xmHVCfY9_rfO6NWHXO8Ud3MA1nH_I,4323
torchao/sparsity/wanda.py,sha256=i8ztoWybn5YfeGFwbSxPHzd26jUduKoojhZm_dJuA4A,5363
torchao/sparsity/training/__init__.py,sha256=7lR1AFrI1A34iglIZxnKHK7mXGwDegrwd6MaCAcydpo,3452
torchao/sparsity/training/autograd.py,sha256=wyuBaHBbQwRExAdAV2jHGwMJHlQwJAksBwpAtrJefjY,5088
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=Vkp2sOP6yTKQl5aHSPRc_u6LusWSBzr0y38s9OQ5JMg,10047
torchao/testing/utils.py,sha256=E3bUajO6VbTho-XXzJAGIVAIiGRQX6IEjBAq7eybGko,26270
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=mwVs9rR8JYER-LUGVhF7EZt0_ElEqWMpkSNAc5hyRwg,17879
torchao/testing/training/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/testing/training/dtensor_utils.py,sha256=uvE6zomX8u2YIHtJjDaGdhkjMYzC1OVERJ8qWBcWoI8,6896
torchao/testing/training/fsdp2_utils.py,sha256=tP-RWtFHA06dduycievMlmMNSL1CfNY5pWC8HJ1pik8,3550
torchao/testing/training/roofline_utils.py,sha256=MIKH4Cud9JaRIK7shJH4f55jwFmJNWtjdeN35jXg_O4,26972
torchao/testing/training/test_utils.py,sha256=fBWNpUlv7RNB6NFjKkC8UR9aT3BXKo5ZVFQjFgArDA4,922
torchao-0.18.0.dev20260511+cpu.dist-info/licenses/LICENSE,sha256=Z5AeNRuuqlrvlnzM0Ihrpnnwhd-Gc9Hs1JWSvyhBFa8,1537
torchao-0.18.0.dev20260511+cpu.dist-info/METADATA,sha256=-bGUqxXHvdX5_GqWWqInwRvHqmiGSTlAqwE9uw9Tbr0,20834
torchao-0.18.0.dev20260511+cpu.dist-info/WHEEL,sha256=CmyFI0kx5cdEMTLiONQRbGQwjIoR1aIYB7eCAQ4KPJ0,91
torchao-0.18.0.dev20260511+cpu.dist-info/top_level.txt,sha256=DJrLhDBQY_i-VZnPh-MOaIYAE6W0Ixnf8DlzpSeU1-4,13
torchao-0.18.0.dev20260511+cpu.dist-info/RECORD,,
