torch_tensorrt/_C.cp38-win_amd64.pyd,sha256=KnwURzqmgEADolurxEiCvAq2-ZTZkQCcf7svlDepv10,859136
torch_tensorrt/_Device.py,sha256=MbhxaQ6tgY9cBmAx03P1JONbZxoY0mAkIAK5_vQ4s78,7336
torch_tensorrt/_Input.py,sha256=kp4D0g7_265g87W-XWahBgNO3vjBwofHgcmnJuU2uOQ,17467
torch_tensorrt/__init__.py,sha256=ZJrh5dw4g1LnXI2ea9zvhkHs939lgPqheBFbrJd3nn8,4010
torch_tensorrt/_compile.py,sha256=MopkWYzYM6HbM9ombtn1HTMTYJh6ooF7nYZCSoNtFZY,20154
torch_tensorrt/_enums.py,sha256=60ELiulXiUZuQvtBi5HICix4qPoQESOaddRmO_nrGnI,26790
torch_tensorrt/_features.py,sha256=gCGqASXDnTa4_6QylMBKRXxM_Uxq5ySvRhl5HWV9WCk,1591
torch_tensorrt/_utils.py,sha256=PAfcj1weWdBhLtI7EFR4AjZ88jwUrHnUw-kNrj0tXr8,222
torch_tensorrt/_version.py,sha256=5VP_gmHX8EXmHuQOjeA-cIBhMDvVbH3mPeD8Vy0-xA8,83
torch_tensorrt/logging.py,sha256=1szpyo7wPC0boP46n4UjLVYwuVCORjP2gbzkwwdWZi8,8677
torch_tensorrt/dynamo/_DryRunTracker.py,sha256=ORFPJZdI-tKybj4YeE0xI15R8476tA55cZgaYh2zICg,12236
torch_tensorrt/dynamo/_SourceIR.py,sha256=qlLY84rJjNE8cFs9KZ5pYH_4PDfRQsRHU-At-TnxLvU,599
torch_tensorrt/dynamo/__init__.py,sha256=jWBJQDcIx5Qb-LGxfgH36wPktt2zbCbLkiVste0_ubE,444
torch_tensorrt/dynamo/_compiler.py,sha256=Ub3VO31JF3-r-JJa6l5WgTyPTq6tqzlVA0KsXXNxKcQ,31898
torch_tensorrt/dynamo/_defaults.py,sha256=Om412gyYm64mYCZu5aWvvB7lt42TZUpgKNKLh18R1jg,1093
torch_tensorrt/dynamo/_exporter.py,sha256=Hu5w0okulV2459nXr9jQYzA276F2t0PgxfuJK11ypIU,17032
torch_tensorrt/dynamo/_settings.py,sha256=7jACkmL4jiYIt2BuuFht2tgYvmkJ83wOUroC8EEvyAE,5847
torch_tensorrt/dynamo/_tracer.py,sha256=Er-po--59VrtLNyeMVurbFBW1tbUXe6YMucL6AVekbQ,3937
torch_tensorrt/dynamo/types.py,sha256=lkIgyv7ZiJHQRH3hCIL9ggdqLSBl_ogOqHhn9FqOF20,744
torch_tensorrt/dynamo/utils.py,sha256=8BrB8EMYRcnFhU_3RzOdRMn_GqhZw-rGrcoMvE-RJ28,13982
torch_tensorrt/dynamo/backend/__init__.py,sha256=CANCo-U8CCSTzncDP-JTWp-1Fng4-njXou3Ds22Sy60,60
torch_tensorrt/dynamo/backend/backends.py,sha256=O0BMJfW3USgE-qGxpkD6dn4Q-_PL47eActOVJFRSh0M,4468
torch_tensorrt/dynamo/conversion/_ConversionContext.py,sha256=Ykkptsr2hbs67_b23aWkVrymbXsb1n-LhlMi3MO0apA,550
torch_tensorrt/dynamo/conversion/_ConverterRegistry.py,sha256=OKojujDIVS_1h1ysMQZbd4FgQwa3LsN5YcOry698rgw,23893
torch_tensorrt/dynamo/conversion/_TRTInterpreter.py,sha256=e9XwpSACMjpZnu4xsF69YUTUCR_0Aalshhw8kqcX4pA,24037
torch_tensorrt/dynamo/conversion/__init__.py,sha256=RboqegjRjAA3_KQjpGhl-3vX16-wFCrKcXrL3rUUP7M,339
torch_tensorrt/dynamo/conversion/_conversion.py,sha256=ACtBhJszUN_h_gDFWarhjWYSOHaEY0ZbOyXMcdGfllk,4979
torch_tensorrt/dynamo/conversion/aten_ops_converters.py,sha256=0HNGvxMLH9656L82OViAHj4aa7a74rea7225D8wBS-Y,87540
torch_tensorrt/dynamo/conversion/converter_utils.py,sha256=XGSQRFlFJ4FaG7IAm54OtbGl6mmmeqCjYfJ55zo1OvA,33764
torch_tensorrt/dynamo/conversion/ops_evaluators.py,sha256=Jgc5IthVmYcXukjzi0Ucbe7KIoo54--Rbk9BwGSOdHw,6937
torch_tensorrt/dynamo/conversion/prims_ops_converters.py,sha256=AYMj-5tGL_jZMWEwX5nU0HI2kPvaKTPEW7L8NYsCf0s,1411
torch_tensorrt/dynamo/conversion/truncate_double.py,sha256=uZuY-DzS5HM_SCbFPsl0u8ZUvII7BpPtONzH1ajJ878,9018
torch_tensorrt/dynamo/conversion/impl/__init__.py,sha256=cU3NacABJXjA9xIr6wzI_5HzuRLT2E2weK2Dd6UXIxc,476
torch_tensorrt/dynamo/conversion/impl/addmm.py,sha256=6Vw_OO5fFEWzcc8idcb7xeaY0wSdfDw7znXg0rw-sTE,1132
torch_tensorrt/dynamo/conversion/impl/attention.py,sha256=bxxWQ04TF104bEDnUJyGt86Uv_wURzlnjHQwz8cnXV4,2158
torch_tensorrt/dynamo/conversion/impl/cast.py,sha256=hBzzgnrv95cttex5CF-44lhglYCeopDvTzGGC2ZS_3I,1848
torch_tensorrt/dynamo/conversion/impl/cat.py,sha256=VTyoQNlURyuwVsbALrwsEc5M8Ijf1afnD22eG0FofGs,1527
torch_tensorrt/dynamo/conversion/impl/conv.py,sha256=KRjaGJ4EbDAj6EmTanFabwOTplDlEs0f7fzOCSNU6I8,5101
torch_tensorrt/dynamo/conversion/impl/deconv.py,sha256=gPgvLgJtgMpQwcnO80LxWcRMGUNvFp82NHrUiLiq8JA,5175
torch_tensorrt/dynamo/conversion/impl/embedding.py,sha256=fTAP3BvR6DWtyA6fFkzsQrLcVs1w4LsE4yV9fWd182w,14582
torch_tensorrt/dynamo/conversion/impl/grid.py,sha256=xmVp3JIdrZa6tzySCnK5G7bL5nfJMn_8CqOilBTTnBU,1442
torch_tensorrt/dynamo/conversion/impl/linear.py,sha256=84PoiQyAvdDZi-f765a1t6DfyQpDIOX2qiGWbEvp6Yc,1894
torch_tensorrt/dynamo/conversion/impl/matmul.py,sha256=ku5csqO7cUBPags6xy3ogzHS1dM37gxT9sD7haWJvo8,1685
torch_tensorrt/dynamo/conversion/impl/pad.py,sha256=_B0aTHtg4fqQlYprJBID1JiEHI5zNkULcXLASValBgw,6179
torch_tensorrt/dynamo/conversion/impl/permutation.py,sha256=7Wn21ppsndAn9nXmf9HoKiu6bQLqoGm-zIBTNDn9guQ,2855
torch_tensorrt/dynamo/conversion/impl/pool.py,sha256=4-APgqA2loCclTCLmVAG2ZAqSZUvNifcfEyOTZpCBMc,13518
torch_tensorrt/dynamo/conversion/impl/quantize.py,sha256=Td-6KZLGkYx47mOH79KTtugw6I2UkMBU4HGxZOmvPtI,1736
torch_tensorrt/dynamo/conversion/impl/reduce.py,sha256=FLUoPJ3NrVhtyPazpQarPjjjSnDaH_WnezItlTAvBQ4,7260
torch_tensorrt/dynamo/conversion/impl/select.py,sha256=dUM_K0_MiZ2VBHJzICdD9hlHbLzwYERV1fZ1g6YlR7c,19186
torch_tensorrt/dynamo/conversion/impl/shape.py,sha256=9oU01q-KTuNp7jm3IvODz2wwrg9EuhMshRaGLS01wvU,4524
torch_tensorrt/dynamo/conversion/impl/shuffle.py,sha256=QG8buflgCuH4US5AWB6xYKLmclrvIx9XAz9lgrXBx9I,6365
torch_tensorrt/dynamo/conversion/impl/split.py,sha256=wMAg2TtVwqTkxpt1Bozui_-DhIPWqIvRIPk0mg5Q3DA,2802
torch_tensorrt/dynamo/conversion/impl/squeeze.py,sha256=1maZnREJWMfT2Abua8rQUqL0YZ8A9MhGjgsbEqf9x6w,1821
torch_tensorrt/dynamo/conversion/impl/topk.py,sha256=9j9PvXBkyGPqxttdyb-wldNFvAYf5jgRLSC49kvdwZo,4989
torch_tensorrt/dynamo/conversion/impl/unsqueeze.py,sha256=QftvvJzO6gqWc_lT-6cJLsiru8JykSpCRIAe3Dw0KtE,4370
torch_tensorrt/dynamo/conversion/impl/upsample.py,sha256=gOCELK5zVxBAHXssL_mnDIIKIt1_IxwtXIHk84oI2XM,2487
torch_tensorrt/dynamo/conversion/impl/activation/__init__.py,sha256=WAlgZTq_bg1_wJveTKE0P0rVvAG9D70qIVg3MQ82scs,20
torch_tensorrt/dynamo/conversion/impl/activation/base.py,sha256=NLq2vXu0xpot_CHQsbHLg9A-R8UFto0RWeFKtr3liMA,1447
torch_tensorrt/dynamo/conversion/impl/activation/ops.py,sha256=xlINgT5_DHCvnilngzv8fxB3G2EkBkoI5jPlnQEHQ_0,8563
torch_tensorrt/dynamo/conversion/impl/condition/__init__.py,sha256=WAlgZTq_bg1_wJveTKE0P0rVvAG9D70qIVg3MQ82scs,20
torch_tensorrt/dynamo/conversion/impl/condition/ops.py,sha256=I9aEK47dMSZERyuzDvTs41HNfXxvtQyHxhlgIGMzrFw,2562
torch_tensorrt/dynamo/conversion/impl/elementwise/__init__.py,sha256=WAlgZTq_bg1_wJveTKE0P0rVvAG9D70qIVg3MQ82scs,20
torch_tensorrt/dynamo/conversion/impl/elementwise/base.py,sha256=TbbZbLoMxvd-yPBOdqfsH2TakOtMU0cEpUmepTeYNDg,6952
torch_tensorrt/dynamo/conversion/impl/elementwise/ops.py,sha256=uoTfnxCKnyyRzjGXQ-jD9FWuFwUhL38GG_tm4JKEhJY,20318
torch_tensorrt/dynamo/conversion/impl/normalization/__init__.py,sha256=WAlgZTq_bg1_wJveTKE0P0rVvAG9D70qIVg3MQ82scs,20
torch_tensorrt/dynamo/conversion/impl/normalization/ops.py,sha256=1And7pByR_YtAnagwrn498j_x2Z5rT7dQDqzUT_tpu0,20287
torch_tensorrt/dynamo/conversion/impl/slice/__init__.py,sha256=WAlgZTq_bg1_wJveTKE0P0rVvAG9D70qIVg3MQ82scs,20
torch_tensorrt/dynamo/conversion/impl/slice/base.py,sha256=h7S0dLM-T4RqamOMEJg5m-Uc_NeLe_UyYZ_RjbUyT68,1110
torch_tensorrt/dynamo/conversion/impl/slice/ops.py,sha256=89MaATW6wKaY8ZfxfqaXv0wkWqe9-bvpB8QdIcOFdzk,12810
torch_tensorrt/dynamo/conversion/impl/unary/__init__.py,sha256=WAlgZTq_bg1_wJveTKE0P0rVvAG9D70qIVg3MQ82scs,20
torch_tensorrt/dynamo/conversion/impl/unary/base.py,sha256=WZXR-f3ZM4Wlky5Cg9ye8hcsY1Zzl4wYiORXj6GiDXk,1546
torch_tensorrt/dynamo/conversion/impl/unary/ops.py,sha256=DROUY5icUEWXZBOzWtj4iTY0Q1bKogx2ydL-KC_Nm94,16635
torch_tensorrt/dynamo/lowering/__init__.py,sha256=VXLkv3GMUSl_xtSuMSll7q9aWfXI8Rt246P65zPMklc,388
torch_tensorrt/dynamo/lowering/_decomposition_groups.py,sha256=1Y1WR7gueVVjjcnuWQrD7DqcOJhUIWyN3kFnAm0dg_M,5173
torch_tensorrt/dynamo/lowering/_decompositions.py,sha256=8Gg4Ifn5DW8ZPQS8vdpj9Pq85TE8hYLXwhL_WzrBtfw,14343
torch_tensorrt/dynamo/lowering/_remove_sym_nodes.py,sha256=DQ_6FqcOk1SCnhzQIqP02LNfPPVDW7t4QIZq5y_yue4,784
torch_tensorrt/dynamo/lowering/_repair_input_aliasing.py,sha256=azmAGXhf1HXgyAMt48mdzysWYUpt0qcew7cXEsNiWK4,1256
torch_tensorrt/dynamo/lowering/passes/__init__.py,sha256=XJ_UqE-TDbgqoA90k79oS8sHN7AWhV-dnrwdDfRwGl0,36
torch_tensorrt/dynamo/lowering/passes/_aten_lowering_pass.py,sha256=eiAiE3qUKrq7mKb9zYxc3bTHRa2BF_AtzFjbvotaIkM,4140
torch_tensorrt/dynamo/lowering/passes/constant_folding.py,sha256=acYfKEjGgQdtz4JzppxMvLCRxjzKt3ddQoIiMxJNQ1w,3407
torch_tensorrt/dynamo/lowering/passes/fuse_prims_broadcast.py,sha256=zikGOTpyjogtzRP6Krup1pon9KyxGVGi9o8fVVV0rCE,2937
torch_tensorrt/dynamo/lowering/passes/lower_linear.py,sha256=e4yqDXKUDwDPerVtyr9-SzrbbNAr6Y5W_Xs4vBLarKk,1445
torch_tensorrt/dynamo/lowering/passes/lower_scaled_dot_product_attention.py,sha256=L0mKaGv-8UaUTn47O-r__yiHUC0p-BYXXmUg_dTonI8,6075
torch_tensorrt/dynamo/lowering/passes/pass_manager.py,sha256=LNhVAW4ifiHGZ2kfdVTNlsgdU1KL-kteP7VrWM9dx9Y,1627
torch_tensorrt/dynamo/lowering/passes/pass_utils.py,sha256=-nA8H0VBNdYU4vuUL9mht3Lr2WiWR2L_oYzZh1CzSUU,1566
torch_tensorrt/dynamo/lowering/passes/remove_detach.py,sha256=fxnGQfqlAzY7iYZNwwJzHovpAgPYXrutfm55aVtZ7cU,751
torch_tensorrt/dynamo/lowering/passes/remove_input_alias_fixing_clones.py,sha256=Dryb8z6kHDzlvkP7O53UOEiceG_LYH4hMm4pF__YcD8,1656
torch_tensorrt/dynamo/lowering/passes/repair_input_as_output.py,sha256=6c4W1Dc08UBEsSnvNLDJVPkYqqtmsj_ApcPgfQKUCC8,1773
torch_tensorrt/dynamo/lowering/passes/replace_max_pool_with_indices.py,sha256=pBvWW_68QHAHHR0F7Sya137nmSSogi3pZf1LIIwfGyk,2266
torch_tensorrt/dynamo/lowering/passes/view_to_reshape.py,sha256=tgpy-_ntIhMk9HuN3IIOVoIWlO3oAbfAVlWN51dS1lE,1282
torch_tensorrt/dynamo/partitioning/__init__.py,sha256=MghRJTWcdjBJqrAeBYb_jrTKH5APx6-sJja8T2X8axQ,247
torch_tensorrt/dynamo/partitioning/_adjacency_partitioner.py,sha256=ml44vETdELF1Y7w8UnKh-u8rixyHiJVvplQZZ8Y-lPo,11594
torch_tensorrt/dynamo/partitioning/_global_partitioner.py,sha256=9usTRW1v7r0j5MQUzlhgxY_qGuAudvcMgWKO2rZtcGY,9972
torch_tensorrt/dynamo/partitioning/common.py,sha256=BVFMBa5w0MI696trAVE8oujmQebt4lg7xVoMkOLVDB8,8321
torch_tensorrt/dynamo/runtime/_PythonTorchTensorRTModule.py,sha256=3MSn_eAs7VvxIoXuNoKBsbQMg7D01JMFgtogZrpwnjM,12525
torch_tensorrt/dynamo/runtime/_TorchTensorRTModule.py,sha256=vK8hXCRVmqXdp9XX08gs_eEB127dLhrsbf19hqHqqO8,9537
torch_tensorrt/dynamo/runtime/__init__.py,sha256=F5myZnwgtFVyNlbgFvdkzuTWeu3RO1hLVZOlkiKfNV8,150
torch_tensorrt/dynamo/runtime/tools.py,sha256=2kHJKyUil5uVEuXxtN9xnLEHgJUl4i1Nc612EbfZhWg,5216
torch_tensorrt/dynamo/tools/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch_tensorrt/dynamo/tools/opset_coverage.py,sha256=QKYsTT3ju_jMdTwMG-_XtkgbvbWqMvE0sZqz3ttAvEQ,8024
torch_tensorrt/fx/__init__.py,sha256=nyLYMgU8Mr-AH7pPDkKUzVt9-eQCc4nqyFCQ3a-xQXs,553
torch_tensorrt/fx/converter_registry.py,sha256=CuARAgwewi1fWlnbdN8Eec007hhOeIG99e2NBqZXJqM,1186
torch_tensorrt/fx/diagnostics.py,sha256=Dc_EM8U9_L_7hjGZWpb1TzO-skEnLIGUrdGAXIQcOK0,10065
torch_tensorrt/fx/fx2trt.py,sha256=A_s6qYKYHJiCejMQVr9Q-MldoyUkl8XEdbQKR9vcBns,15230
torch_tensorrt/fx/input_tensor_spec.py,sha256=_MDu6HBQ9FZe5eCvgFNWGbpe4kWkTpkIXxpVPqHK8Ww,9575
torch_tensorrt/fx/lower.py,sha256=HCyCyrZxI3lu04DJiG3SO-_loo60EXDUWcZoawQeons,13123
torch_tensorrt/fx/lower_setting.py,sha256=Rvg0Zk5f8MZc8j2LdMzhUKvS-5N2mB3H_0LSnwOD4bE,4861
torch_tensorrt/fx/observer.py,sha256=-gKfnE1ekiXJwG7yF1ECJuyxaCbtJYFLcQWBMpwL5rs,6021
torch_tensorrt/fx/trt_module.py,sha256=fPQav5cJ896HIsoOq78JgTDFXhRMPSy6gmLmTkR7lMM,10245
torch_tensorrt/fx/types.py,sha256=ZT80uWmWCvm8LsroEkrOFE53irjqTcabzwn7-8lOQK4,785
torch_tensorrt/fx/utils.py,sha256=RCF5BsYEdlTCMcF3Z9YUGrq-uzYDzmsN3vG6A72Os_4,5812
torch_tensorrt/fx/converters/__init__.py,sha256=x6Hl2DLrkXYQ0ITcMrg5xpAsgWa08K06JwK0HqS35Gg,754
torch_tensorrt/fx/converters/acc_ops_converters.py,sha256=X7IZd4ewBjzPdD7cXU_9Ga0gUDa--n5x57L0BzWSNF8,124030
torch_tensorrt/fx/converters/adaptive_avgpool.py,sha256=zpPyWRhInSnEzt0v0F8cD88hUgjHAzAShq08KR0H5P0,1211
torch_tensorrt/fx/converters/add.py,sha256=7hmeo77xZ0DIfawGIfuJ9gfC4_dKlbSN36IfuNjFPC0,2521
torch_tensorrt/fx/converters/aten_ops_converters.py,sha256=8uCCBfh5plw6QixcEg4sAses2uPSdU28dnbfIf21tY0,17425
torch_tensorrt/fx/converters/batchnorm.py,sha256=NNDWnPCq7t1vJL-NVl6QA1u5ZFSn9F-j3rfCFYrzYOQ,1824
torch_tensorrt/fx/converters/converter_utils.py,sha256=T5lhCq10eV46fBwM6L-esP2tRUv88mYrHg-S2n5LIME,32552
torch_tensorrt/fx/converters/linear.py,sha256=jgn1TOI0Oi9REACaJQngTGhmIjV27CvWM3-ws_D8rvQ,2914
torch_tensorrt/fx/converters/maxpool.py,sha256=X_zo1qb-eSkOI43p4T76DsDjmOkVnzcovoapYPgG2Lo,1496
torch_tensorrt/fx/converters/mul.py,sha256=4FrNqX2ksG0Pr751JrCn4cxzT1-0l86VvFXQucC5tOU,1562
torch_tensorrt/fx/converters/nn_ops_converters.py,sha256=2UD_xGx8IdN3zwYJiCINaMECJdjY8t2raJfttsfoStg,7034
torch_tensorrt/fx/converters/quantization.py,sha256=OaPReuCQwQ5cbNuKi2IHLpiwmd5qMiR9Pce0HSNiA58,2162
torch_tensorrt/fx/converters/transformation.py,sha256=7a-etM0oxueh4sGBkpw8yzBpL0SYP7e-sEGSFhcYT7A,1547
torch_tensorrt/fx/converters/impl/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch_tensorrt/fx/converters/impl/activation.py,sha256=abTHSZLpyhAwgVy3tUo96fAX9Cl4qGn6-dQAC5b9SOs,6813
torch_tensorrt/fx/converters/impl/convolution.py,sha256=gicGWxI7GlEKd6ujeDn0zjF0IhPOLYZfeCkB7DMPpj0,4743
torch_tensorrt/fx/passes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch_tensorrt/fx/passes/graph_opts.py,sha256=0fYXTVxDmdG7v68Z7zCby_G756aliYmeDhdO51oj754,2044
torch_tensorrt/fx/passes/lower_basic_pass.py,sha256=SqhPoPa8BVPcBggKXCEF_AZsm4iLFwE6jCso-T2252A,25180
torch_tensorrt/fx/passes/lower_basic_pass_aten.py,sha256=j1FS5rNeOcBTpGbx7UslERP-P1lbZuoZ7LLCqmcXpgE,19757
torch_tensorrt/fx/passes/lower_pass_manager_builder.py,sha256=fquuS9gsCYXc0e6pGNEDGc5OSOqjbCAR4XAxT6TwspA,12400
torch_tensorrt/fx/passes/pass_utils.py,sha256=yDsth0W4NFZW9SG1cytPl_SpLkU2otefN0X99egXVTg,19479
torch_tensorrt/fx/passes/remove_duplicate_output_args.py,sha256=MdN6cIe5fPNfz3hfv2DE08hm2S6B7wDy-HhkZV7EgdM,4961
torch_tensorrt/fx/tools/__init__.py,sha256=SF90jfdL6xvPeyDy3TVSIICz3E6UKbu66KZjvDGpYwQ,49
torch_tensorrt/fx/tools/common_fx2trt.py,sha256=AVRAg8wEK4Ws63NgkgCZvuKmtGSkn9hd-s-QvctqNkY,15859
torch_tensorrt/fx/tools/engine_layer_visualize.py,sha256=T7AGlwdc8V7u-cVcp02UMWBobbCI4spchH7ToHpO1HY,7067
torch_tensorrt/fx/tools/graph_util.py,sha256=cT-RJV2sm6_rGHZ3JjLyu8J7ICwINblHniNSLfWhC4Y,2423
torch_tensorrt/fx/tools/model_packager.py,sha256=cUrpgQOByDkiUUrl8R2OGisGyk5slAhy1WIi7IjexnE,4703
torch_tensorrt/fx/tools/node_profiler.py,sha256=bl3sPBrzdcnD6pac_5mQ6roFsjnPBgMH-qykW6DP1Io,1777
torch_tensorrt/fx/tools/tensor_prop.py,sha256=a1VQ9rjaTSwgqaOZrCBZM08bvZIN6EifXqOmaaOOOz0,1163
torch_tensorrt/fx/tools/timing_cache_utils.py,sha256=J8mEoIlGalWd09bthMLEftP784IBk5wYdpgZ6tSwGKM,1451
torch_tensorrt/fx/tools/trt_minimizer.py,sha256=vXuz3qP9WqHaoSsBtCWbzOxKepKr37RsUpLKAmrXs2Y,3805
torch_tensorrt/fx/tools/trt_profiler_sorted.py,sha256=p-jm_4gtsxt790m3A9Ehp6EEsbS9GFf6xKwJ3SFr6ps,2052
torch_tensorrt/fx/tools/trt_splitter.py,sha256=MeTfaMvppyEN2rpQg_fB0gZ1I-z81rAtjg7IAc9r6YY,5617
torch_tensorrt/fx/tracer/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch_tensorrt/fx/tracer/acc_tracer/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch_tensorrt/fx/tracer/acc_tracer/acc_normalizer.py,sha256=kv-lrKSOpYDnxWp9FqrHAE2RebuHhLtKztvHt2L5BzI,20455
torch_tensorrt/fx/tracer/acc_tracer/acc_op_properties.py,sha256=yZf0w7_sNLIPUPiTaliH-4cBQL9lmcQoRklIxsF9tOg,1573
torch_tensorrt/fx/tracer/acc_tracer/acc_ops.py,sha256=ezLjaTr6BpyrElhiMx44Vs2Ia-g9dwj-W3sd_zuJj2k,113032
torch_tensorrt/fx/tracer/acc_tracer/acc_shape_prop.py,sha256=Tn_1vioY-EikoaTh4CgwQTLMhKJFcw-0QaurAy8RJAI,5557
torch_tensorrt/fx/tracer/acc_tracer/acc_tracer.py,sha256=h5IpfN4B7MqoT66pMSdgXaZZwHbL5y-0ByGXie15Qw8,28754
torch_tensorrt/fx/tracer/acc_tracer/acc_utils.py,sha256=07z-k7BXZhpBHSdWqhzyAdLcyQP0Naoq7hjGjhWFRTc,7430
torch_tensorrt/fx/tracer/dispatch_tracer/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
torch_tensorrt/fx/tracer/dispatch_tracer/aten_tracer.py,sha256=5tYm2S1XCW1oGHcJ6V9WW1Rh2hrsuPACdxPD2IHSgzo,5379
torch_tensorrt/fx/tracer/dispatch_tracer/tracer.py,sha256=ThVip0LDcc2WvG20q7d7w8pBHkaHzTiokZSEaYxH7bk,7785
torch_tensorrt/lib/torchtrt.dll,sha256=SHVMcl3GSIB0gMyaJOrbGEu9RBWwR1Ayq3eej6nejiU,5295104
torch_tensorrt/lib/torchtrt.lib,sha256=oorySTq27sCu8zZVdh3Xivpv1tJ7XlFGkkmkUpjdsEU,16008890
torch_tensorrt/runtime/__init__.py,sha256=DvmfVcVWfgZqI-34qbSMUd7yY4Xn4G0dE91CkV2P_O0,64
torch_tensorrt/runtime/multi_device_safe_mode.py,sha256=LLEqrcw4iXdiLUStzCA9JmRtcZvMuDPyRyZS4Nu281g,1741
torch_tensorrt/ts/_Device.py,sha256=Bm3UCe7iV5DMnvU6Rfx0Wc9UAaKAdUeNUhd8Ks2V2Qw,2560
torch_tensorrt/ts/_Input.py,sha256=SEjR2E0i75h5DmuItYm-KJwIIxVV_Jf3RQqpHWM32sw,5911
torch_tensorrt/ts/__init__.py,sha256=XGa6Pt58mwjYwrvwGt95DnCQsX6APFiGvFypxMcJUTk,330
torch_tensorrt/ts/_compile_spec.py,sha256=gKj71QzoK9qbfd-OyLLL8HLoW7SEeTs3m0-pzsee8ko,19335
torch_tensorrt/ts/_compiler.py,sha256=m0ilqSicCe5dVozs1Fe9GqAFHLEzpIojt3brrLq7pdw,19250
torch_tensorrt/ts/_enums.py,sha256=X8qgJtzysEu951dv9fNWEnejjzqpeqxkksr01vj1QN0,132
torch_tensorrt/ts/_utils.py,sha256=M1jIx2HfaeA1Xw0-y36pAJx0bcCrkuMIWYSnxd8qGSw,836
torch_tensorrt/ts/logging.py,sha256=6wg0VL9jTmqmSzoeRYWyKLnZFWJnR_PVdoG1AdaNBuE,3258
torch_tensorrt/ts/ptq.py,sha256=7A_mg_x0qpJ3Ehzmf-N8YdQa6Ibg6dcqRDQNgRI2Mcw,8435
torch_tensorrt-2.4.0.dist-info/LICENSE,sha256=Ynu988AZmFL8f8iT_4SNlKlf0dixEoOKvGH8l3JtEVA,1580
torch_tensorrt-2.4.0.dist-info/METADATA,sha256=AID2f7uDCyLppNGLL45GVlk5hDZ1Tz_A2nkaNRltJ5s,16413
torch_tensorrt-2.4.0.dist-info/WHEEL,sha256=Wb4yjwIXVKEpht4JWFUZNCzpG7JLBNZnqtK2YNdqLkI,100
torch_tensorrt-2.4.0.dist-info/top_level.txt,sha256=iJxwcyhlIDXvQLvPYeQXIlHjLpAbMzUsyIVCHzU18ts,15
torch_tensorrt-2.4.0.dist-info/RECORD,,
