test/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test/test_lean_import.py,sha256=TIWKH1yp6f7JOHHVTqoAxDDHOzv_cvBmlLAW1qdtMWQ,708
test/test_low_bit_optim.py,sha256=W28-JeAy0R5Z764DGHL7WIJ7Xyxsvw7KJnEOijZ8Zfk,23877
test/test_model_architecture.py,sha256=DKt1aUOKvD5Q1KxPiU6wQROdsouvCBGZV2lSUoB_dTc,1959
test/test_ops.py,sha256=BsFmFfF-iBH2tC_nmsB6uMP1PyYwISmue8Cu_zu0bo4,14280
test/test_ops_rowwise_scaled_linear_sparse_cutlass.py,sha256=8lyuuaFXcNOLpJQolsG2lR_naHNElumtM1u3IEsrHYQ,3624
test/test_utils.py,sha256=6SeD6jBbLGC3e-HmFgi3UMwii6_oD2ehlbKD8G71eAE,21424
test/prototype/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test/prototype/test_autoround.py,sha256=k4DW4GiFKPGvMwlWzZrKu5fKsHjUAmn6zX6BgeoAy58,5940
test/prototype/test_awq.py,sha256=Rjjb8C5cRqky8JjXjKg--iROzgiBcmaO9B5d3SqzTcw,8928
test/prototype/test_codebook_coreml.py,sha256=X4cT34Ls_EHjAxmQ-KZTMwEqTXNMCFoQsvBzB2iXgI0,4260
test/prototype/test_codebook_quant.py,sha256=7wrPT1ffYJ_S4PHfsuTOr7x7BvRfqN56qDj0TJWzAus,2438
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=bqrj247ZAR0Df_dzTEKZWO7OrG76zKqxkpDOxI45ELc,4025
test/prototype/test_int8_lut_tensor.py,sha256=p7KSoAKjfGyYG-4qY1sjFKLUSDFCQTZZuaLH6vnFnoM,4021
test/prototype/test_mixed_precision.py,sha256=U5cG-Al550_yRYHyA9xvTVKNFHhHBK69qZwGjCMEG0s,1995
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=oE9Yc--r9TkIH_7zsllzpUck_cr6xTZ_D3WHZ-4X1Ow,23326
test/prototype/test_prototype_float8_tensor.py,sha256=YF0gPWpjkQR2dhc_tS1pm-3ULwPxw2hOPkQ7_x6KFvE,19871
test/prototype/test_quantized_training.py,sha256=ztkKKnemTKhCkxGRmQSvAQ7QcvEdjMR0bxmdtqU2lIc,15128
test/prototype/test_scheduler.py,sha256=6mg7KLEFY7RkZrtGQrMT5rEnXtPp8VpJOw5U2PZ7KE0,7393
test/prototype/test_smoothquant.py,sha256=6p244RipIvLArbD6QTukoBokvZAUvuU92UnSzQFa2Ds,8269
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=GYnzKqRpT7lru0uZpT2xJO6Z4kTR84mtNsEVyQhLlH8,7171
test/prototype/moe_training/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
test/prototype/moe_training/reference_moe.py,sha256=2h9F0C3vAOj0AhOX0pEMOhE303X2uXWSjbzzTW2iyqA,21805
test/prototype/moe_training/test_fsdp.py,sha256=ZkKX_58Q6TMWUNGXUSO8Itgp16ySQWL6uXWxt0cXn-I,6746
test/prototype/moe_training/test_fsdp_tp.py,sha256=pcOUg3LnNqIXF3SV3OWKFC_U8uokUfFBMLlshtTTy7k,10307
test/prototype/moe_training/test_kernels.py,sha256=gsvuaf8kwVKgrjK6F_OB_JiCvjXbQ6lyFQ-eZMafyaw,14929
test/prototype/moe_training/test_scaled_grouped_mm.py,sha256=H44nt-5hpxMGBmXFI1DIQx_BJDTSdo5iha3YeACn_WA,13715
test/prototype/moe_training/test_tp.py,sha256=rzv1_ANn3zm-PQCnUVSgnoIZsG_R9zhPPf98vbLcpT4,14057
test/prototype/moe_training/test_training.py,sha256=sMN8jr_esD_ip83ALZLvGwA4MwolVPHom0Q3vHUMAgI,6695
test/prototype/moe_training/testing_utils.py,sha256=3U1QRC8WEyHsIF4Cf_zmDoNnjjSp0gRKH3RT7Bp_NJQ,2308
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=vSqt8e15prfAeGNo3TTGnwTfgohIPYyjwJQ7NXw_6R4,12528
test/prototype/moe_training/ep/test_integration.py,sha256=ym8TWzsJyMNXbsQSDIZasYuC2lGS5WtuGHkqMv1nTVo,13877
test/prototype/moe_training/ep/test_kernels.py,sha256=HP-PRADKnfki9NGEX7UlzfnwG5wvm4kvN2BzOXJyCmg,3081
test/prototype/moe_training/ep/test_permute.py,sha256=9zvwp1NxSN8asGf2EB473kWaLwe0o4wVdo4JD422rOk,1866
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=sDqYCzBujq1Njmt_ogSJL5VsypjRGAdC4-Jc3dxPT00,6014
torchao/_executorch_ops.py,sha256=0JWM8D_X_pWLCa8Nx8hoO6aTecMFbeyBBPJEgiFM-UM,2054
torchao/csrc_meta_ops.py,sha256=zb8n427Fx7XA-pFM2jL4DUuUiw9GzgG2tONvatVprnQ,2023
torchao/ops.py,sha256=sYRe-x5OMSw_IjB5KZGz--5-vjD6xAe6hKVP467aPe0,14502
torchao/utils.py,sha256=i1PWkWNHW8p2s4YQ6zdoxWNCLpiS0jynW8r-FwCLfHc,44099
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=hH5KeTHQmYdofx0pjfob3IbPexhKzWHQCOwhUBe0HwM,1548
torchao/dtypes/affine_quantized_tensor.py,sha256=pmQyDsxSVvU_pPeoSJzWPP8RAY7yHjMJopMi0oAjSxE,24285
torchao/dtypes/affine_quantized_tensor_ops.py,sha256=G3xZgLGejr5yoihia7mk6dNPLZ28YpHi-Oc-AlkXrEU,20059
torchao/dtypes/nf4tensor.py,sha256=jaSCmQypb4oJkH5g6iPyvysGLHs7-AN7zQ5M2D10IrQ,41508
torchao/dtypes/utils.py,sha256=0QzjsBtnJGWMuJsc51kd7IAlVY-QVlZtc5Py0gEFepg,5230
torchao/dtypes/floatx/__init__.py,sha256=3LT1WbRoGDh68C-ghZQOqipenrIwmziVtvs0VefVIIY,179
torchao/dtypes/floatx/cutlass_semi_sparse_layout.py,sha256=oembuwY0bb3y2segcgNUMNCFbdTzBHKimKwAuDpJ0mI,8997
torchao/dtypes/floatx/float8_layout.py,sha256=wRroK2qpG0N_rnEooStCQ9iIT76alPrfsCcJdJfEXvU,12912
torchao/dtypes/uintx/__init__.py,sha256=cSOlJr6Q15lqZEXIX4FT0f3bR6VN9iceKrxKLFyqY8Y,784
torchao/dtypes/uintx/bitpacking.py,sha256=jwavloc8IAJbR-RQJBKfYzagYFrJjehAd6XdzjzLrnk,8355
torchao/dtypes/uintx/block_sparse_layout.py,sha256=v1bwI8rYWIB0IEHYivFaH3YH05BibaqONzXZfG_AqY0,943
torchao/dtypes/uintx/dyn_int8_act_int4_wei_cpu_layout.py,sha256=6kwf0G-oneFGQAx5Dma5EB5j21-KAvZtSE-cufebmmk,1086
torchao/dtypes/uintx/gemlite_layout.py,sha256=46DVLHpJ9NTs6txbIOLHy6wbs5Z3bPtbPx3w8M8hmnE,1047
torchao/dtypes/uintx/int4_cpu_layout.py,sha256=y-FKh9XDjyaLhA0K5NmK5i5BOGQCdgz_kAauzQQdZrs,11987
torchao/dtypes/uintx/int4_xpu_layout.py,sha256=BqKCmt6IZTFVhnjBGLHxXc4Ro3FFENM8ED9Ic-QiWSY,17516
torchao/dtypes/uintx/packed_linear_int8_dynamic_activation_intx_weight_layout.py,sha256=WSH__ZuUCexloK9kDCV6MM2qDTcNK2RfaJhEntNoc2k,16358
torchao/dtypes/uintx/plain_layout.py,sha256=QqXvvt-iGcDjAc7yJeFu7aLmUmxZLAWYW4MsggQ0GX4,11168
torchao/dtypes/uintx/q_dq_layout.py,sha256=Q3l7Kbt8hmsDE5IU37b7sfQmp_TNQyy6WqFS2_GisYo,8519
torchao/dtypes/uintx/semi_sparse_layout.py,sha256=8ZNKgV1QeCjEg8NA6bbc-Zc_UNjhVCtkyMpk88CD3XE,4509
torchao/dtypes/uintx/tensor_core_tiled_layout.py,sha256=P-Cst5hT0BNIpD-hFCMnfgkSfvxowBooJENPpOsImgs,20326
torchao/dtypes/uintx/uintx_layout.py,sha256=iANMAnAq4wtiknxWKhXk-c2UbyrYhojNg5mRWSRvBQI,936
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=SCdPkV0iMwyxcGUPjLdL4xeYYDdEQKx6W8MP_sbNDDs,8045
torchao/float8/fsdp_utils.py,sha256=QLZpgW4fOWkTmJPYX0GeE-lxjBWLHdkzyKHNFyj_ubc,10202
torchao/float8/inference.py,sha256=meyzKhs-4aUxZlMP89Rwc19ZNISRRHHK5wgUesFIiXQ,10303
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/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=FYImqB3fG9pSozZpHsIxqknhJeEQpynn4WMacCzG7r4,5089
torchao/kernel/intmm_triton.py,sha256=JIpTUXlW3GeWv2s-yhXD9WaeC_u9ISYgYpfb9daYJ_s,12079
torchao/optim/__init__.py,sha256=xxi38BPesjIo6GMfQAz5jyrshOBdTTcH024NsGSK2CM,284
torchao/optim/adam.py,sha256=kYhjRhukMOCSSUS1YeKYzm4P-HDvg06wLak9VUKt9V8,13043
torchao/optim/cpu_offload.py,sha256=qGsXNiiP9aGBKwTla3OQE0V7jtc4_LN2KY38flHU5EY,7227
torchao/optim/quant_utils.py,sha256=sMFAnrtmVDmbyQEjBIn48eK9trGpb7H-kAUBMd4pqTc,6207
torchao/optim/subclass_4bit.py,sha256=NJpsqxKntCqG7iW8FOHn9A8RcCLltvI7vjjVq34CPY0,9163
torchao/optim/subclass_8bit.py,sha256=f8mZ2WFlVLQYAcwIyVv2zYimZ0R-OVWz4UqgSUJG4do,7670
torchao/optim/subclass_fp8.py,sha256=J2OtrQoo5si3j9peGibq4eeU4qJe4WAgY2n0rkKhddI,6883
torchao/prototype/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/prototype/_nf4tensor_api.py,sha256=KXEtWrF76d5z1y908hsZiEcl04BPLK58JrqGTJR2YFo,1148
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=q1hIKkfBGR3dpMMLvGRl2Fsfoq7pFkNVyYXaJUjMNP8,6261
torchao/prototype/autoround/core.py,sha256=h6EZ1sXK2MfuJ5tBp3xVCrOz1Sl3llHQQo118eUGGRc,14790
torchao/prototype/autoround/eval_autoround.py,sha256=Q5m1q8fHFVl3m2-1KRp8sLB7BKHzDlhSofG2Z7sWDDI,9376
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=tcnMusMvRuccS8O3h9hqGzzPV2s7Gzbshud3jF6yL8s,15333
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=mAJRAS80DeQw3jkeLj1-BnM6rMMGevMoIRVQWuM0pHg,30197
torchao/prototype/blockwise_fp8_training/linear.py,sha256=OBtR6z9KLu-BjxyrLJN8fTx2JkGCO-J9GRpHh8YdqZ0,6900
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/dtypes/__init__.py,sha256=vmjeVnTZ-8zTaHUVh9Lh-hYMmkZuR9HLXe-MjbilESk,582
torchao/prototype/dtypes/uintx/__init__.py,sha256=53svsgmBL5-91mn5JLIDnXQsVmh6HTnoZBiZ6v9XsEM,681
torchao/prototype/dtypes/uintx/block_sparse_layout.py,sha256=TjzXe5RlIyQUJvcKHyFtELHE3OSWG0wsVrtlhSnyZRs,7400
torchao/prototype/dtypes/uintx/dyn_int8_act_int4_wei_cpu_layout.py,sha256=KSC4Geyn3qjwdgk2uHGVSernjLxe4iroil1CLpmxe24,11062
torchao/prototype/dtypes/uintx/gemlite_layout.py,sha256=RuyemEFmfvHSTgCCoiu9ZsZlNhUM-bNwF5FVu6kB6L4,15842
torchao/prototype/dtypes/uintx/uintx_layout.py,sha256=Crrg4FbQqEiygVjyTOx9NNvCwWCeZyew54UPdjvwSS0,7972
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=bEuFsEQdivQXyh3H-Tkr1EfddaHouE2RVmOmwu23Zno,4275
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=rPNyJ8W6bGgAdaX5HDdih5F9STVLtufIEYx6TCGN8-o,33051
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=cKt227L6dxwQGwUWgyoqZFlUHehfHLqPG9DUNFPgPQ8,298
torchao/prototype/gptq/api.py,sha256=z8uSxrVVZg0VEQ538D4VrvlZCGkPeVVi-EZ2pw8uEhA,13988
torchao/prototype/gptq/gptq_example.py,sha256=KqMDUJQK_llV7hqDneST8ufLEgQtNFhdeXiIkVoAUaU,12488
torchao/prototype/gptq/observer.py,sha256=9okbgMDFbzrwurHSgfm3wiwRQhRRrGg8Tv6l6v6NuZk,3138
torchao/prototype/hqq/__init__.py,sha256=J0TPdrWOc-vu2jCx8YBiyhq5CkkfF17dchsDW1-NaSA,108
torchao/prototype/hqq/hqq_tinygemm_linear.py,sha256=D-dq8NFbXK0T_525I9TZhtGXwmrLS4muOrpcksGriDo,8531
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/qsdpa_lowering.py,sha256=0_HxQM7wJ2YpRmRW8EUevTwRHga2nN6dHviEhAdOogA,4451
torchao/prototype/inductor/codegen/__init__.py,sha256=f8es7WxLvWAxJm30wleXgqosTw1yPuTniwHcGG2Cejc,98
torchao/prototype/inductor/codegen/cpp_int8_sdpa_template.py,sha256=yOyx0IZm3tv8ipzfvpw-l3Z-sDiB0sdq5PO809U_Nnk,63938
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/int4_opaque_tensor/__init__.py,sha256=BdZiloaE44JDzBn5EN5rtF7iF1cPRYTbsL88O-gT3z4,193
torchao/prototype/int4_opaque_tensor/inference_workflow.py,sha256=gs7HlaCqgxclHPvz-ODLAI-Ff0P_u-xsOfRbhf0_92I,3066
torchao/prototype/int4_opaque_tensor/int4_opaque_tensor.py,sha256=hK7ejLM917i-greoAVmfhL99sc1g6OI5WEKcpRaiKDg,9154
torchao/prototype/moe_training/__init__.py,sha256=VJVkFpD8JnmvDOB0KJpXAfRT5mJespWhrkCSUgbdk8c,236
torchao/prototype/moe_training/conversion_utils.py,sha256=jZcHZl73B1anXMHLvTE-8yXser8YjNNQUKaM7olb6FI,5126
torchao/prototype/moe_training/scaled_grouped_mm.py,sha256=GUu7aotbXnMAjpivVCoDqCrVSkWrJJd_2ug51ep4MxU,40481
torchao/prototype/moe_training/tensor.py,sha256=cJTA2Uhu5waol_riasOzPU7W8fPlHfY6iZbp-0es2k8,9488
torchao/prototype/moe_training/utils.py,sha256=6iNki190IiATWAXgoN_rCYBuyFncIY-JgkyoTIH2Oxo,13346
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=tjWeQUwxngen_QWS7LstAyJDtfPK_IE9sCQTYsFjAMc,10599
torchao/prototype/moe_training/ep/unpermute.py,sha256=p_yMHI-4Dgg4fA9Rr93n-gjNvzQc0qrPG_EiZvrQfE0,4931
torchao/prototype/moe_training/kernels/__init__.py,sha256=nU8YcP9Tggn4DkR915dHMRfPme2zl0n5wjA7ZIJMQCM,462
torchao/prototype/moe_training/kernels/float8_rowwise.py,sha256=h2M9B5mRvWgWw-EP9siFXZPxgPJZoqYTxe6xmKjZw-0,15912
torchao/prototype/moe_training/kernels/jagged_float8_scales.py,sha256=5eUCFXeMqLD36lEEZ2ya-g2-7x0TYCGYOksDw9k1sgI,14930
torchao/prototype/moe_training/kernels/triton_utils.py,sha256=PhmZapEwWT-Y2edTVxBXCAsJg78hzfTdL9uIB2de44s,5699
torchao/prototype/moe_training/kernels/mxfp8/__init__.py,sha256=2sFChiBploSd4zHuf5-SgPFXHBiOsR9YmuP7xmaH1I8,530
torchao/prototype/moe_training/kernels/mxfp8/comms.py,sha256=tACY1HcBaeQ-TlSzPbk2di4UjU6YTL6C3TbPvjv1vyQ,22320
torchao/prototype/moe_training/kernels/mxfp8/quant.py,sha256=DgJKDuf8llXyY0y93TQQe8uLFMGmQ7ILBQDszX4JNh0,32164
torchao/prototype/mx_formats/__init__.py,sha256=NEMKhY94zcGkm0PW3B5WBo-UPAkOfxyVGZk_zNj0KFo,638
torchao/prototype/mx_formats/config.py,sha256=RQOodGKlM75sPSG1Cd0aud0nAS3mJGC6OfGTjB60P-8,10241
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/inference_workflow.py,sha256=6Gj9usZdIMvrKEbweuTiktUfxZA1k7Wa9tVuK4mO1jw,8775
torchao/prototype/mx_formats/kernels.py,sha256=GhxYVoGIAMQH5zTXhD82qnURC3Zd8cC0dkauNHJ4C_M,48560
torchao/prototype/mx_formats/mx_funcs.py,sha256=5OIM1BTilj7dyrNSo_9C07W39kkgwlxKlXFXmLIjuOo,1170
torchao/prototype/mx_formats/mx_linear.py,sha256=M38ikzK7RKwSXI5a3J89yV_YqEwF7NRLrhKehT-uIaU,8821
torchao/prototype/mx_formats/mx_tensor.py,sha256=v51w1b6b8ApPljziJdU0Ys-3HNyZ8Sqlgjz4kBbJrWQ,34084
torchao/prototype/mx_formats/nvfp4_tensor.py,sha256=KonDhKuXy_X-u8KOWxQTnXJE54qNgnOZH_PCuo5lvrU,26928
torchao/prototype/mx_formats/utils.py,sha256=Qey9sbYllfg1TU7UMM5TIbrId4zVljAEyTUsQWInPv4,15081
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=aeD0cgzfyN7KfNAU9AqEcKUenMJPHzzbavHNhxgCNDU,6978
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/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/quantization/__init__.py,sha256=XWm0qdhSFeNHr3qWmVWhLiLlGucP2QEtAodZEYG0-Dw,82
torchao/prototype/quantization/autoquant_v2.py,sha256=I-jb8LKiiwhsqBuL4RroFjA1lLKUmxdRVsHtz-Eodug,51434
torchao/prototype/quantization/quant_api.py,sha256=OfQ_WGQRbmig-roYV7z3j1GFJpwj51J08Cr1q4EnyHw,29997
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=JLhQh8uFj-a3zJnk0vAuU5f96EEDmSmy7nTPCsZatFM,10013
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=jB-NJeFc_d8fg7KcLSVn_VdCkh0kfq4x_8tdzph4BZU,42490
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/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=lQ94lZHOOhZyP42j-C17netcVyBApn06ibAy8wuagu8,6538
torchao/prototype/quantization/mixed_precision/scripts/naive_intNwo.py,sha256=ErAZ2PfcZy5GdBpAUs-7pTD-1oLxOIj7BoVJ56eARlg,3795
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/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=2j9Z05rSB0UQ7Fj0H2UuzZBYZV0-VTBAI3s6J5ABYH4,13736
torchao/prototype/quantized_training/int8.py,sha256=QCAJXwm0LacGe77ojoLAeY-ozlmXLorOr5aILCeIGqM,11347
torchao/prototype/quantized_training/int8_mixed_precision.py,sha256=dh1gDBNbXa3gq9vtvQosbJwtuRepmWffNH2nBMObLB0,10660
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=km7ZTA4Q_50ZZk403sNpE-aDjg-y4jmveOqWP_NFGq8,8218
torchao/prototype/smoothquant/__init__.py,sha256=3MhtUDegVidLYTq1BgiqeIXq7fyNflWCrQoW4OV8GNo,213
torchao/prototype/smoothquant/api.py,sha256=B-JdqXtln2zKFGsw3ux1mEr0vbAMKlA7J_xwVeF8Jno,4928
torchao/prototype/smoothquant/core.py,sha256=0j0qxWMhPXSKXzJdxMhTdqjhZt4rHhdJIWMgB1cQAFc,3532
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=tMJ7VoTx2EjgnlYUEQa0ULz5m0oa6zz11qiZjAObhlI,6998
torchao/quantization/__init__.py,sha256=sKjWezXNtoX736xn9jyF4B1sU7afGEcMYcRBCXWI2us,5201
torchao/quantization/autoquant.py,sha256=LNNN3B8ZZHuvgIwjEl5Mp__6YW4XaSsbZsGHCXHSl_0,47223
torchao/quantization/granularity.py,sha256=7FgPPPpGX2cJAj41L41xGkKdnxGPHaZkIVCZgNv5TCc,4355
torchao/quantization/linear_activation_quantized_tensor.py,sha256=3eluegGBVBuKTzIhf08JYOjSFQmP28m35CsSWNH1NlM,10380
torchao/quantization/linear_activation_scale.py,sha256=984EPriu8LZqWtRuxE7RmwCO0FvFTPztx_DeEIzrlcE,3944
torchao/quantization/linear_activation_weight_observed_tensor.py,sha256=8eIbFcCnRwngrrWjqcdtMMg8IWmjICqO1MGf7I98NQo,5622
torchao/quantization/linear_quant_modules.py,sha256=JoM8RaOZKMo4JvW1xtCGkZgpxtxF7PMN8u6Db8UBZoE,21330
torchao/quantization/observer.py,sha256=OXRgiwAn01ettpZIkkSjalGpQMqsDQgJaDJ4mVM1wyk,12240
torchao/quantization/quant_api.py,sha256=j0s-RTnFFod0wue1oGuANSX9WXMpFO3e2SmWlpOMYfA,79822
torchao/quantization/quant_primitives.py,sha256=kPp93Vj-vnXDGIxUFHdXM7qMESLZTYLzPPKyv_xdHGc,93335
torchao/quantization/transform_module.py,sha256=SxeJ41-n2SRmlvCaENXx6mPqVDMHNnbCqlxSMy2kEmI,1607
torchao/quantization/unified.py,sha256=07CpCmqeucV50JqEGzony78esg6tZ9i71mrZF6ufUzk,1136
torchao/quantization/utils.py,sha256=zkZF87zFAa6pRem-A9Wr1Lcvi6a33AWedCu2w7bTrg0,24361
torchao/quantization/weight_tensor_linear_activation_quantization.py,sha256=MgNjPMm2g6SGk_gKIImgiD4ehVIpAZIZ26935o8b6Uc,7347
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=AbHG-lTlvKG089YWfC5yFyhiQRGIqOevR3DIAw-WQTs,16075
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=ZBfnlzIGrFNyOUcGv6lLL_Gs3Y4fwOhAw0hWMD36LZs,23057
torchao/quantization/pt2e/graph_utils.py,sha256=zA8mtwtPuLdHkHz2NytJrB_ervX0w8tgxib37thzsuE,6596
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=vFtrb0u_DVVfmm-kMQgzIN4PFPRrGJ_28QaYWX0mIg4,75319
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=fuAgPTBApKr0G357l3gkqn8MgibV_Vtkqwetcp325fk,10690
torchao/quantization/pt2e/reference_representation_rewrite.py,sha256=Eylbn5RlLkYSitYe6hULuC-OTU3Hcg98c-CjYCZYdLM,41607
torchao/quantization/pt2e/utils.py,sha256=2SN5bQ3apVjlOTEkQHbmOMz1sCWHqS250qAHi7lSm0I,42780
torchao/quantization/pt2e/inductor_passes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/quantization/pt2e/inductor_passes/lowering.py,sha256=nwjm3TNN6AQFkk3-jYAG_U4A3bzz6siilK0BB89HyY4,1904
torchao/quantization/pt2e/inductor_passes/x86.py,sha256=PDkp6kWwFneoBvN7cfn4tTraq8PRPEolaTkMYI3lod0,121576
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=aDvfBQ2u_LrJlAPjaGfGlILMdidr568kdrJ2BbY4veU,6861
torchao/quantization/pt2e/quantizer/utils.py,sha256=6lvKL6Ej1pYxPHK3_tp2C1X21_5lAarr5BdmNRWz6Cs,6025
torchao/quantization/pt2e/quantizer/x86_inductor_quantizer.py,sha256=T536wpYWSvUUWvWNg4zw7HHQQg0mznPQrUKdsJxfx-w,67022
torchao/quantization/pt2e/quantizer/xpu_inductor_quantizer.py,sha256=TJhtYfUaMtWP1NxI7vwRlDucV8igP8iEbbQSghpSxDU,4044
torchao/quantization/qat/__init__.py,sha256=Vud7nQurT_WNwEgm-7-BvBc8P8da4gxj1m7IREv3yic,1566
torchao/quantization/qat/affine_fake_quantized_tensor.py,sha256=8I6naED_6aMz6WN74v_D57wc5XEbel3AiJLNzf4ejWs,12676
torchao/quantization/qat/api.py,sha256=B1ABqXSER-Ytd5MfNY8gDaXsNaTEPaZakfYoB6MHPiw,18351
torchao/quantization/qat/embedding.py,sha256=ZJMvyTt-alFIwQeDq4svo-nrBTF9YMVJXqr04E3ddyE,13935
torchao/quantization/qat/fake_quantize_config.py,sha256=LXU_a5WrcrwofuxExfjVSgGh58AdqNf_LZtPbyqxO6U,20348
torchao/quantization/qat/fake_quantizer.py,sha256=91hJEzXz5Teb-4EbMdUFbhG8V_MeTkA8KzBAaPStVa8,12783
torchao/quantization/qat/linear.py,sha256=zUIb8oRrQMJOOBl7qsHtH0Pvk8458KNzv6FMgCvho_U,22688
torchao/quantization/qat/utils.py,sha256=bCQRt4BB95nHBXGEPyax2M_s5jdyjtwGoVPDwEgZXsA,2986
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=sUVCX0a0uSD9cEV3nGEbge36vxEL3Rz3JypKs_D8xy8,1454
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=npm9gid0kuAJs3jkf8KCWRc5uYzf0_gRPHQ8k3UfdHA,1546
torchao/quantization/quantize_/common/quantize_tensor_kwargs.py,sha256=vcXIGuEFHHOrCAcMGxvXJaaJGdHJJSiqxLMyUew10lQ,2191
torchao/quantization/quantize_/workflows/__init__.py,sha256=RSKmaFFyZFqLVmpWP5WccDCbn37W-J7RZ5ljt-15Peo,1536
torchao/quantization/quantize_/workflows/float8/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/quantization/quantize_/workflows/float8/float8_packing_format.py,sha256=bhmapi6f1BSAHD-JEn9RRorFywlzwIBnZEdWACzNvlI,1383
torchao/quantization/quantize_/workflows/float8/float8_tensor.py,sha256=uyCox_UVlb9t7tNtwU7ELppKQXLEcQRQ0aGETUoUNf4,37291
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=e468JUEJ6MW7I298abCNJWLi9JBZnyEOkxAVsV7qRiQ,11091
torchao/quantization/quantize_/workflows/int4/int4_tensor.py,sha256=wVW3eBr4qdCHXNJevnJ3Jd7-sd177aA5cDFzgpOWiDk,18615
torchao/quantization/quantize_/workflows/int4/int4_tile_packed_to_4d_tensor.py,sha256=jjGZ9n8E-vA-M3RguHomd8qG7U9qJ381Pa-07TfL89k,13536
torchao/quantization/quantize_/workflows/int8/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torchao/quantization/quantize_/workflows/int8/int8_tensor.py,sha256=KPNgGEePPS5rPkGY494H85pIgL-oRCkPGud6yaMjAfo,12643
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/sparsity/__init__.py,sha256=RPGqZnXWyGXCaLxwXWbkn5nQlcEfSehwq5vXw3CTl3k,803
torchao/sparsity/blocksparse.py,sha256=DRN-CqkCVoxM9gX4Y5LLKiYfjtJKyDND6Pa1QveH1CA,9798
torchao/sparsity/sparse_api.py,sha256=45dxelYPK2DYOM_v2LY9oe6VkeXKXswvmleC89vfqmU,4730
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=tbl4OyOofvnmBA49HCbAA8hAbZAJAcYCpJgC3CFYnPY,26927
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=Q_itoSd_bGpkW-M4jcDkF7GSS44n2KvdwFTX8PqS6bM,8695
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=5QF_U0BO1VCku1BrZxV0sSZzDZbgeuecInwCyzfE91s,20921
torchao/testing/training/test_utils.py,sha256=fBWNpUlv7RNB6NFjKkC8UR9aT3BXKo5ZVFQjFgArDA4,922
torchao-0.16.0+cpu.dist-info/licenses/LICENSE,sha256=Z5AeNRuuqlrvlnzM0Ihrpnnwhd-Gc9Hs1JWSvyhBFa8,1537
torchao-0.16.0+cpu.dist-info/METADATA,sha256=pt8um1ORG8cXoYsa3CvU8h0amWaFLwzdBKdOZYmrUzY,20104
torchao-0.16.0+cpu.dist-info/WHEEL,sha256=wUyA8OaulRlbfwMtmQsvNngGrxQHAvkKcvRmdizlJi0,92
torchao-0.16.0+cpu.dist-info/top_level.txt,sha256=DJrLhDBQY_i-VZnPh-MOaIYAE6W0Ixnf8DlzpSeU1-4,13
torchao-0.16.0+cpu.dist-info/RECORD,,
