Download manifests/09/github.com__waadgo__raven.json from OpenScientificCodeRegistry/Database: direct link, hf CLI and curl.
- Browser
- Download file 69.5 kB
-
https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/09/github.com__waadgo__raven.json
- Command line
-
hf download hf://datasets/OpenScientificCodeRegistry/Database/manifests/09/github.com__waadgo__raven.json
-
curl -L -o github.com__waadgo__raven.json https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/09/github.com__waadgo__raven.json
69.5 kB
| { | |
| "format": "oscr-script-manifest/1", | |
| "repository": "github.com/waadgo/raven", | |
| "url": "https://github.com/waadgo/raven", | |
| "host": "github.com", | |
| "commit": "a16c2fe61b91871694f0ef759a657780df8f5375", | |
| "license": "MIT", | |
| "license_confirmed_by": "license file License.txt", | |
| "redistribution": "yes", | |
| "files": [ | |
| { | |
| "path": "License.txt", | |
| "sha256": "f6216cce912c447025b8aacfa9ac09634c43815cd8d87762528300e5ddf6b959", | |
| "language": "License", | |
| "lines": 19, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 2175 | |
| }, | |
| { | |
| "path": "README.md", | |
| "sha256": "501187b7229040f7d65b3033f6c23b816870edbe772facee958f8299de22b912", | |
| "language": "Text", | |
| "lines": 100, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 11887 | |
| }, | |
| { | |
| "path": "data_generation/build_manifests.py", | |
| "sha256": "d54d6f434198cbc5c120dcd6e432829566ffbf106cfa531c1eed4a17b1549632", | |
| "language": "Python", | |
| "lines": 44, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6118 | |
| }, | |
| { | |
| "path": "data_generation/create_hdf5.py", | |
| "sha256": "272077647aa88a3df8aa5f2a765f8e92c3077527873cf278c6bd965538efa43d", | |
| "language": "Python", | |
| "lines": 207, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8148 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_LDM_AHEAD_train.py", | |
| "sha256": "8b63e4f641ead459028d2a47ec2ab41b86e6a5bc0d86ff88ca98de94ea84a85d", | |
| "language": "Python", | |
| "lines": 377, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9090 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_LDM_AHEAD_val.py", | |
| "sha256": "3b2b6e055f9edb4c66721f97251f1886b7bf101fc5547b17f65ae90ef9f86ab9", | |
| "language": "Python", | |
| "lines": 378, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9086 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_LDM_AOMICID1000_train.py", | |
| "sha256": "969fa0e54e677d688bfe97f4173d040688f935990ab611f0b6fab905772bfc4f", | |
| "language": "Python", | |
| "lines": 379, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9098 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_LDM_AOMICID1000_val.py", | |
| "sha256": "cf8694dde7c331e5b9c1af795ebc969c3021775f75e542bc056df87bffd76ea7", | |
| "language": "Python", | |
| "lines": 379, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9095 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_LDM_AOMICPIOP1_train.py", | |
| "sha256": "050ae1131a83bdaed0d0673d610326e52680ca2bb558040b0f7481b9749ab2c7", | |
| "language": "Python", | |
| "lines": 379, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9096 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_LDM_AOMICPIOP1_val.py", | |
| "sha256": "1dc5040d1f8897f3cdae594d18ba1eb248c646a19fd28c5ab4c748e264b70c65", | |
| "language": "Python", | |
| "lines": 379, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9093 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_LDM_AOMICPIOP2_train.py", | |
| "sha256": "e0612d16531de0ef0e7a032ca5471a9ffe371cadc37bae912dab296747384efd", | |
| "language": "Python", | |
| "lines": 379, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9097 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_LDM_AOMICPIOP2_val.py", | |
| "sha256": "a5e3f60259ea651f18fd8c19defb55a39e7635b11634dbefcb071a4c96777027", | |
| "language": "Python", | |
| "lines": 379, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9094 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_LDM_CHEN_train.py", | |
| "sha256": "cc499f5ebe378dda45582110880a8accbaa6249e785bfa4c3f75e174e6eb8038", | |
| "language": "Python", | |
| "lines": 379, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9091 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_LDM_CHEN_val.py", | |
| "sha256": "91d520c1c43a9179bf651619780d342dee6a5ec96e0312fcdc776d3ff5ae2e58", | |
| "language": "Python", | |
| "lines": 379, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9084 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_LDM_HBA_train.py", | |
| "sha256": "c578e9f56f652fb9e731e50b21f115f5f639771995b66450634829eaf8c0ad36", | |
| "language": "Python", | |
| "lines": 379, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9088 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_LDM_HBA_val.py", | |
| "sha256": "14c5fefabb61973d1b01a84ac92447ae0dc5eeaf3fe3625a098ad746e6a58b33", | |
| "language": "Python", | |
| "lines": 379, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9082 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_LDM_HCP_train.py", | |
| "sha256": "7afcde5314b76fb70d5ec1eef1827cc24809da101db5b2c99ee01a078e0d80b6", | |
| "language": "Python", | |
| "lines": 379, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9087 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_LDM_HCP_val.py", | |
| "sha256": "47dffa4e78bb6f474212332b3fc4636036a6e4ec7ab3c4ac6677694f29086672", | |
| "language": "Python", | |
| "lines": 379, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9083 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_LDM_OSCBS_train.py", | |
| "sha256": "5ca46de480d0f5f3f1dfa47fc0a7a50de6c7a2f848e050183ea81a7522582e8f", | |
| "language": "Python", | |
| "lines": 379, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9092 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_LDM_OSCBS_val.py", | |
| "sha256": "d451a4157e18e47bdfae44d166d15a5bdb6741eaa600f9e4fd2073351759903e", | |
| "language": "Python", | |
| "lines": 379, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9085 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_v5_AHEAD_train.py", | |
| "sha256": "fcda5a599c4f033e1ebbba16fa9528e8590aee139aa0b2e5aecd7389582dc210", | |
| "language": "Python", | |
| "lines": 141, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8227 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_v5_AHEAD_val.py", | |
| "sha256": "1e5b210dd33fd9b4d16879220524d744f364fa291f311f26b5edb4eeb40d3a1a", | |
| "language": "Python", | |
| "lines": 141, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8219 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_v5_AOMICID1000_train.py", | |
| "sha256": "a5326674cd92927473ed103cebb5bb2901470528713e2c988e6a24d1ce2d74be", | |
| "language": "Python", | |
| "lines": 141, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8236 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_v5_AOMICID1000_val.py", | |
| "sha256": "aac4f990ea5dd5cd11d61e8a45b2aff44d049fa64c69005f7a0145551b756984", | |
| "language": "Python", | |
| "lines": 141, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8232 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_v5_AOMICPIOP1_train.py", | |
| "sha256": "f252dd8cb2d5d158a5fc8c119bdf66535a5204bcf6fd23dcd7830c6532ba8715", | |
| "language": "Python", | |
| "lines": 141, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8235 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_v5_AOMICPIOP1_val.py", | |
| "sha256": "052b930dd1cef0bef7297d8c2eb805227863e328b84faf9316929277f5a69bfd", | |
| "language": "Python", | |
| "lines": 141, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8231 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_v5_AOMICPIOP2_train.py", | |
| "sha256": "49b471fc52c17e5322b0a9a62acce2f1f7d9a8db2c6fc8706dd44d2ed640c697", | |
| "language": "Python", | |
| "lines": 141, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8234 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_v5_AOMICPIOP2_val.py", | |
| "sha256": "8423095254f911038ead25611b4ab719ed1ddc9f4ac3c8e1609d571b40bf37d8", | |
| "language": "Python", | |
| "lines": 141, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8230 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_v5_CHEN_train.py", | |
| "sha256": "6ff745d27a4eb1f8b212d98a6289f3327b839f64c92f6c40e3a622404e8b43ba", | |
| "language": "Python", | |
| "lines": 141, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8224 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_v5_CHEN_val.py", | |
| "sha256": "3eb76572fb452de5a368a0677ba2d0220b596c7c671aae6b7df20b6aa3285079", | |
| "language": "Python", | |
| "lines": 141, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8218 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_v5_HBA_train.py", | |
| "sha256": "eaf0e4c4974fd9542d86b3841c49585c686651c0acdf9ec71ba69af956f3b75b", | |
| "language": "Python", | |
| "lines": 141, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8222 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_v5_HCP_train.py", | |
| "sha256": "1ef1b6c4059a768f4ec9f8412d139be1bfd87f10aac055bdaa7f5bff12861d7e", | |
| "language": "Python", | |
| "lines": 141, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8223 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_v5_HCP_val.py", | |
| "sha256": "aab9844d520d5dd058f5ec75b2bc0d0a7370c3ea6d77cd9c55e5830e8b0a3c87", | |
| "language": "Python", | |
| "lines": 141, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8217 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_v5_OSCBS_train.py", | |
| "sha256": "aeabd37d8e1224dd8b0c492891e053f29f03af6e07712ed049d1090fdc43881b", | |
| "language": "Python", | |
| "lines": 141, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8226 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVEN_v5_OSCBS_val.py", | |
| "sha256": "675340a5d6bc8cb1e2e8f6bf84e477a2f36eb19fad13e1f3f4ce6d97b15360da", | |
| "language": "Python", | |
| "lines": 141, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8221 | |
| }, | |
| { | |
| "path": "data_generation/legacy/RAVE_LDM_AHEAD_train.py", | |
| "sha256": "d8bfc6b00e9cef6c2eb2712b7fb10859e09403369be505e4dfa6a64b371f8a04", | |
| "language": "Python", | |
| "lines": 141, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8228 | |
| }, | |
| { | |
| "path": "data_generation/legacy/check_hdf5.py", | |
| "sha256": "d3c98ad40f2aa202623b26146c9bdec5cf506f41ef63ea62b670a81e7b9b38c1", | |
| "language": "Python", | |
| "lines": 111, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6735 | |
| }, | |
| { | |
| "path": "data_generation/legacy/data_loader/DS_dataset.py", | |
| "sha256": "5b7f46b4e4b454804348d3b4558922cac0741d7fef7d179fc1578eec3383c385", | |
| "language": "Python", | |
| "lines": 177, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7994 | |
| }, | |
| { | |
| "path": "data_generation/legacy/data_loader/augmentation.py", | |
| "sha256": "31cbc3445339a7a4e33c56d601f4c5f1e8774a37c1639f46bb4d23a2b07e4fe0", | |
| "language": "Python", | |
| "lines": 133, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7005 | |
| }, | |
| { | |
| "path": "data_generation/legacy/data_loader/checkpoints.py", | |
| "sha256": "766c6cc0e7e4917777533df82d07ee5c0a5068352b42826fcc934ccd1d672feb", | |
| "language": "Python", | |
| "lines": 108, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7239 | |
| }, | |
| { | |
| "path": "data_generation/legacy/data_loader/common.py", | |
| "sha256": "9518d480134d7726407a8615a886bea91f20aefbed673bee7e256139d7c5e8e9", | |
| "language": "Python", | |
| "lines": 389, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8830 | |
| }, | |
| { | |
| "path": "data_generation/legacy/data_loader/conform.py", | |
| "sha256": "df1a9e304df16e53e43fea8ef739664dc756962c74583c2681f3242cc9e815af", | |
| "language": "Python", | |
| "lines": 1051, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9755 | |
| }, | |
| { | |
| "path": "data_generation/legacy/data_loader/conform_2.py", | |
| "sha256": "c5cb057fb9642966b4e64cde8fb69561fa56f098f7c291acc664ba4545d6b182", | |
| "language": "Python", | |
| "lines": 970, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9730 | |
| }, | |
| { | |
| "path": "data_generation/legacy/data_loader/get_varying_maps.py", | |
| "sha256": "8b1b6e3d2dff659593471b2d2d6f604e4ae7e7fe67eb7d549abaa76db42b89ff", | |
| "language": "Python", | |
| "lines": 38, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5793 | |
| }, | |
| { | |
| "path": "data_generation/legacy/data_loader/load_neuroimaging_data.py", | |
| "sha256": "c1b0a8997e5ad05d7ffc4458ff9bd366822f41fd1bd482afd321ffdb612f4fb1", | |
| "language": "Python", | |
| "lines": 599, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9386 | |
| }, | |
| { | |
| "path": "data_generation/legacy/data_loader/load_neuroimaging_data_2.py", | |
| "sha256": "44664aeb2a5dd1a569e3185acfd3866b7c0bd080afd9a4eecea2a6bdf1ef2034", | |
| "language": "Python", | |
| "lines": 577, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9349 | |
| }, | |
| { | |
| "path": "data_generation/legacy/data_loader/load_neuroimaging_data_final.py", | |
| "sha256": "a8283b38b32388671fe9e1d31efd381c93c35e487af007a4306208a433a40f9b", | |
| "language": "Python", | |
| "lines": 1277, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9792 | |
| }, | |
| { | |
| "path": "data_generation/legacy/data_loader/model_config.py", | |
| "sha256": "6ad29c5ec23dd9d5ff3d1b6f2ce68696165a2a30f50d35861782f14daf77e3b6", | |
| "language": "Python", | |
| "lines": 8, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5077 | |
| }, | |
| { | |
| "path": "data_generation/legacy/data_loader/mri_vol2vol.py", | |
| "sha256": "1b73f780fab9480b4d1253af723da4152bed7953c857a2acee3b646190d3c434", | |
| "language": "Python", | |
| "lines": 39, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6107 | |
| }, | |
| { | |
| "path": "data_generation/legacy/data_loader/variable_field_map_test.py", | |
| "sha256": "a4c3d71cf6ed33b6b0d2153c2964c7bbe139cd321e73afb79d764216378dc181", | |
| "language": "Python", | |
| "lines": 25, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5380 | |
| }, | |
| { | |
| "path": "data_generation/legacy/test.py", | |
| "sha256": "31fbd4dfd51d217a775bcb36778e2f7f49dd6ff818e75bf7db5b54b78eea9e48", | |
| "language": "Python", | |
| "lines": 12, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5313 | |
| }, | |
| { | |
| "path": "data_generation/legacy/utils.py", | |
| "sha256": "f7916f6cc661fe0faef259b959df96c4d99718e0bd1b5f3f2b7972e9faf8da1b", | |
| "language": "Python", | |
| "lines": 59, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6400 | |
| }, | |
| { | |
| "path": "data_generation/legacy/utils2.py", | |
| "sha256": "3450cd98e98fc0129c8f61f7f057eef1ee9561c1be0ed5f6db0e2fc1135ab731", | |
| "language": "Python", | |
| "lines": 240, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8533 | |
| }, | |
| { | |
| "path": "infer.py", | |
| "sha256": "3dfbade151d869d0d743cb330eb08da4d91fdc0b97ea53078ad488c7b86265e5", | |
| "language": "Python", | |
| "lines": 407, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9143 | |
| }, | |
| { | |
| "path": "inference.py", | |
| "sha256": "0e6ecb1102acd753287fed51adbcc15220751b0fd962441443fe72b5f7a01bb3", | |
| "language": "Python", | |
| "lines": 1776, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9833 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/autoencoder_eval_3D_patches_v18_cpuaware_cascade.py", | |
| "sha256": "c486a31fe301d3dc051dca53d8ecf744be15640cd23831c8b3b96c9d1e1d698e", | |
| "language": "Python", | |
| "lines": 1759, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9831 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/data_loader/__init__.py", | |
| "sha256": "7ada44de914c33bd7e80cab85c5564fe1156015b954be52082871dd338acd61d", | |
| "language": "Python", | |
| "lines": 3, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5051 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/data_loader/augmentation.py", | |
| "sha256": "31cbc3445339a7a4e33c56d601f4c5f1e8774a37c1639f46bb4d23a2b07e4fe0", | |
| "language": "Python", | |
| "lines": 133, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7005 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/data_loader/checkpoints.py", | |
| "sha256": "724dd93c7432c48236cd8181b7e5690c0bcedf1b97b2f66dad2ace3e5c48c74a", | |
| "language": "Python", | |
| "lines": 83, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6738 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/data_loader/common.py", | |
| "sha256": "5bd2e958f44ba959f4be1296a33284549e4e84c28cace2abc9802190321bfe9b", | |
| "language": "Python", | |
| "lines": 242, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8020 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/data_loader/conform.py", | |
| "sha256": "bcb6f2bbc00814e932f9d25199132490b8cba4d6cca3d947b85ce14790ea9d29", | |
| "language": "Python", | |
| "lines": 1669, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9820 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/data_loader/get_varying_maps.py", | |
| "sha256": "cf866d118eb12fbd4cc382232213008de4982cec8a915f060541e9a87cfecd89", | |
| "language": "Python", | |
| "lines": 34, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5710 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/data_loader/load_neuroimaging_data_final.py", | |
| "sha256": "3b2e0bc47ed54c540eb4f1b11874afbbaf38d86dc391b06393c45e4adea7ee5e", | |
| "language": "Python", | |
| "lines": 1666, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9828 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/data/base.py", | |
| "sha256": "4016b6242f78855179134781bd02cad9e843001623e3549f255103fd056de0b6", | |
| "language": "Python", | |
| "lines": 23, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5515 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/data/imagenet.py", | |
| "sha256": "0799471293f7c6c906b98014d13846062e833529ecfb377a8871bf7b602c1d6b", | |
| "language": "Python", | |
| "lines": 394, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9055 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/data/lsun.py", | |
| "sha256": "654355d9c1d3a9420dd3b36f39a1ec4a1f0f61334109aa2162d9d8e8acd3d3b7", | |
| "language": "Python", | |
| "lines": 92, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6881 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/lr_scheduler.py", | |
| "sha256": "6af592fcfcf975dde43bea71c8f0fc58b9949f5a9a381d6a819b21eee82104f6", | |
| "language": "Python", | |
| "lines": 98, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7091 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/models/autoencoder.py", | |
| "sha256": "8ba30483454b431e0642c229f286fe387c60130c26516cd392594186f9b4a4e5", | |
| "language": "Python", | |
| "lines": 443, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9200 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/models/diffusion/classifier.py", | |
| "sha256": "b84a1bd36b83ddd13c36f92d865b025b6556f11efe4a0321fd5a85fffe9fdf7e", | |
| "language": "Python", | |
| "lines": 267, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8539 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/models/diffusion/ddim.py", | |
| "sha256": "3086330c774355809af6c4ce02220a01811187a01a7d0be5cc914c4ac07e4a48", | |
| "language": "Python", | |
| "lines": 203, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8621 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/models/diffusion/ddpm.py", | |
| "sha256": "e5c085c54758952a13540fb69e9b7a6dccb46ae420c6bb2c589c51afab64013e", | |
| "language": "Python", | |
| "lines": 1445, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9825 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/models/diffusion/plms.py", | |
| "sha256": "e26c70c1389454fa96a7fd5144a240e8e4044043f44b85c1e322c8e429d2e40e", | |
| "language": "Python", | |
| "lines": 236, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8806 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/modules/attention.py", | |
| "sha256": "012198f441427ef892da0b6efc5ea9fae8e414aefcc65504577b41c2afd3526e", | |
| "language": "Python", | |
| "lines": 261, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8265 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/modules/diffusionmodules/model.py", | |
| "sha256": "043ff43c4d4304f7259419d1bd4529445da71661b5362653ecd174bd4342c413", | |
| "language": "Python", | |
| "lines": 835, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9659 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/modules/diffusionmodules/openaimodel.py", | |
| "sha256": "92e0c23ada849f532be12d9be2ebcddd98d3b040aa366981ac5f06c96d53b6af", | |
| "language": "Python", | |
| "lines": 961, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9677 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/modules/diffusionmodules/util.py", | |
| "sha256": "5dd19ed7536cc9095ab5d3ca4c09bde5283c0779207a1aa019c05565a2502dca", | |
| "language": "Python", | |
| "lines": 267, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8426 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/modules/distributions/distributions.py", | |
| "sha256": "52cd0b186a667898c52bec1a03eb5cba560a565377069f37b0fd82e1023a3788", | |
| "language": "Python", | |
| "lines": 156, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7626 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/modules/ema.py", | |
| "sha256": "96cf170a9d7b49c846990694a0abef039e2046d934d37f7a219015ccc0da4e1b", | |
| "language": "Python", | |
| "lines": 76, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6745 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/modules/encoders/modules.py", | |
| "sha256": "af126f268be34661bd7e13561325186e2d7d975879f5c976a7b088220635e4c3", | |
| "language": "Python", | |
| "lines": 202, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7927 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/modules/image_degradation/__init__.py", | |
| "sha256": "ae046f3b956e9aedba1096ac76946980edebb805504bf611b505ca411528b26f", | |
| "language": "Python", | |
| "lines": 2, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5158 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/modules/image_degradation/bsrgan.py", | |
| "sha256": "57e940e89a21ddba9f1e0c12ddd34c0c0811320f594eb7cf2910d1d7b049a955", | |
| "language": "Python", | |
| "lines": 730, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9489 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/modules/image_degradation/bsrgan_light.py", | |
| "sha256": "f301f605d3f5303fd9927eb020c7138c78c5eb4b0af1d220a4d6721ab2fa19b9", | |
| "language": "Python", | |
| "lines": 650, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9403 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/modules/image_degradation/utils_image.py", | |
| "sha256": "e7deb515ef7c1f2bf80d28485eeeb0c4e2b8767fa5f68309c7c83ec752fa512b", | |
| "language": "Python", | |
| "lines": 916, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9582 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/modules/losses/__init__.py", | |
| "sha256": "7254a0702a67d5e374b51335eaaa76e2e8af2cc5dd4da249b25adb3e06f718f6", | |
| "language": "Python", | |
| "lines": 1, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5036 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/modules/losses/contperceptual.py", | |
| "sha256": "27ab6d598ce421d1ed81ccc3bd623d8c6c48fdee4d37b6cf198d9ae3d2d284fa", | |
| "language": "Python", | |
| "lines": 111, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7599 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/modules/losses/vqperceptual.py", | |
| "sha256": "9905d89ea41bc366f5e451e2f835a0c0d49bed79e3d3e2c6edc83837320de093", | |
| "language": "Python", | |
| "lines": 167, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8145 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/modules/x_transformer.py", | |
| "sha256": "e1471ac666f662ba537df9a2df9554e91768e5016f36a32e55ba6058b89aecc9", | |
| "language": "Python", | |
| "lines": 641, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9332 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/ldm/util.py", | |
| "sha256": "5ed0d2cf71ecb6e8c2b8db0d275e11a9767d937bbcc745d754b36593d11eed05", | |
| "language": "Python", | |
| "lines": 203, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7668 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/main_hdf5.py", | |
| "sha256": "28e4fd6bc2b34689b5f074c1461e27ac777d60772bf2f7cd7949547e34db7f4e", | |
| "language": "Python", | |
| "lines": 638, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9435 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/setup.py", | |
| "sha256": "621d638274b584e5653ee4c2eaf161e44e21c204627b6b5d82d71eafc7fed259", | |
| "language": "Python", | |
| "lines": 13, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5210 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/data/ade20k.py", | |
| "sha256": "dbfebbb30dacd40060c742b9cbd8b83db71d55f9b05cfdb91189f72a62ce821d", | |
| "language": "Python", | |
| "lines": 124, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7548 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/data/annotated_objects_coco.py", | |
| "sha256": "17ba4b97538f1b67c786562732ffc0f9bb2c327aeafbfb63c08d2a34c2d915c0", | |
| "language": "Python", | |
| "lines": 139, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7658 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/data/annotated_objects_dataset.py", | |
| "sha256": "5b6eb978ae314d62caa43947e0069336a6f2fe9a7e9e4ff8f49c3810f26689b5", | |
| "language": "Python", | |
| "lines": 218, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8536 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/data/annotated_objects_open_images.py", | |
| "sha256": "bee0d5f5a4541e62ff353eea2ac40e7f92cf0930a254b00acb606aefedb62772", | |
| "language": "Python", | |
| "lines": 137, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7772 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/data/base.py", | |
| "sha256": "9b58ada3f5530a77fa9d4805175962799cf7ec483e01fff4f208db0ea697d54e", | |
| "language": "Python", | |
| "lines": 70, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6582 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/data/coco.py", | |
| "sha256": "85865bb0fbfa777c39fa45d7f870a88f962fd81107d13afeb9fc29542235c442", | |
| "language": "Python", | |
| "lines": 176, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8177 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/data/conditional_builder/objects_bbox.py", | |
| "sha256": "0bd33ded22e5456843b8c07f1c2059205a98aa7e463cfc808ebcdcf6a7bf9f76", | |
| "language": "Python", | |
| "lines": 60, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6855 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/data/conditional_builder/objects_center_points.py", | |
| "sha256": "b60ac5b3346f8692c1eee66be88b536e94656b691e6b4b71e4c07a035a975cc1", | |
| "language": "Python", | |
| "lines": 168, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8188 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/data/conditional_builder/utils.py", | |
| "sha256": "18b0b10ee9e3bf12ffec8c41f0b1fb3948acb095a84aff4b187683bbd6797a0d", | |
| "language": "Python", | |
| "lines": 105, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7119 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/data/custom.py", | |
| "sha256": "e3ecd94b15c1600ecf79288e9db6d61fbaa13e0bc2360ffde0b089cf087cc694", | |
| "language": "Python", | |
| "lines": 38, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5714 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/data/faceshq.py", | |
| "sha256": "8b9c29aa15412cf37f0e5407ab8c7825c7d203f41474822d9dc2b59ec063ebc5", | |
| "language": "Python", | |
| "lines": 134, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7339 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/data/helper_types.py", | |
| "sha256": "d9203e4e4d39b237157de183a2d2bdcfb1c4842aa15317ddc4253aa35230cabd", | |
| "language": "Python", | |
| "lines": 49, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5928 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/data/image_transforms.py", | |
| "sha256": "b7cb76a49d0b39df2371c203ec79e1363d53072ac096107bf98cb9edba26a9d3", | |
| "language": "Python", | |
| "lines": 132, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7300 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/data/imagenet.py", | |
| "sha256": "f98d4feeb4754e5789136eedd08adbbf7ceb1a0c57603c7839255ba5739208eb", | |
| "language": "Python", | |
| "lines": 558, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9354 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/data/open_images_helper.py", | |
| "sha256": "c3f25ae759f8d7a9c3a26d81e06006f43c7c73e0d1c39699f6b97d9054070f65", | |
| "language": "Python", | |
| "lines": 379, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8340 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/data/sflckr.py", | |
| "sha256": "db9161e5b39ce809b358254efac5af6ec51f563e69f0d53f1ce28f9d50192c97", | |
| "language": "Python", | |
| "lines": 91, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7166 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/data/utils.py", | |
| "sha256": "89c785fd9adfc8355357ec62cb2da2677d39ea3d93fee5f24e4a8c5293694a61", | |
| "language": "Python", | |
| "lines": 810, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9656 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/fsdp_setup.py", | |
| "sha256": "af820d608e76aa3c700c84f9a5752ec29a65c2ec425064e44953b903dbf388bf", | |
| "language": "Python", | |
| "lines": 53, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6239 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/lr_scheduler.py", | |
| "sha256": "b639ed00d137235ae6b7e9a1b9d0e4df0f515e23f384ed9cdfe8dd7b477f673e", | |
| "language": "Python", | |
| "lines": 34, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5837 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/models/autoencoders.py", | |
| "sha256": "43dd3f551346e0754abc0a087077446d024e3a3001301206f1ae4f7426879dd5", | |
| "language": "Python", | |
| "lines": 4418, | |
| "truncated": true, | |
| "block": 1, | |
| "row": 9882 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/models/cond_transformer.py", | |
| "sha256": "7edaec5d4f1c9b0c908c21fc91f23b96d96856626dcc82b70b5f616fe66b7db7", | |
| "language": "Python", | |
| "lines": 352, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9064 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/models/dummy_cond_stage.py", | |
| "sha256": "962a9c7dc75ba78840730ad14e490fd4f7da1310d4d46dd47aeca1aef29b8e25", | |
| "language": "Python", | |
| "lines": 22, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5325 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/models/mri_autoencoders.py", | |
| "sha256": "034c628dad86cc9d41c209e80fda2b07a9acea7ad1b3a9ab5e315ae45fa32f56", | |
| "language": "Python", | |
| "lines": 243, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8477 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/models/vqgan.py", | |
| "sha256": "7a08f309757c5c6ceb7023062c4a18c1aaedeb4635446d0627240dd175c233fe", | |
| "language": "Python", | |
| "lines": 816, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9699 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/modules/diffusionmodules/model.py", | |
| "sha256": "5bef7bcc246b356986d73236e61c149552e8e2970b689ab580bd94668fb8c2ed", | |
| "language": "Python", | |
| "lines": 2743, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9866 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/modules/diffusionmodules/model2.py", | |
| "sha256": "9ff8c3b6b3a213cf9af901eaf68c4e81a7e306425a850999020fe3ccdc9643a4", | |
| "language": "Python", | |
| "lines": 2571, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9861 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/modules/discriminator/model.py", | |
| "sha256": "06bbf5e897b7093b6bdffd084d729f70ed1ea6477551b4806ba86abedfe32f51", | |
| "language": "Python", | |
| "lines": 140, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7500 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/modules/losses/__init__.py", | |
| "sha256": "ff96415f613e64a1ba704a436b21ffcd46cfa2c81321c24204563df39019686f", | |
| "language": "Python", | |
| "lines": 2, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5024 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/modules/losses/contperceptual.py", | |
| "sha256": "5c9f56ef853d385877eb612fd845159a14f7d9290ae7dbcfaa1eea150357a084", | |
| "language": "Python", | |
| "lines": 3460, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9877 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/modules/losses/lpips.py", | |
| "sha256": "205f7d6dd3839a5d09bd667b9279b0cda7c0a5df348783e2c0f213a5d9cb3b49", | |
| "language": "Python", | |
| "lines": 138, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7606 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/modules/losses/segmentation.py", | |
| "sha256": "677f5115b24e7d1f7e9fa784cfb4aaf6cf155335bca3ad6d1ad29e8927102b12", | |
| "language": "Python", | |
| "lines": 22, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5592 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/modules/losses/vqperceptual.py", | |
| "sha256": "d94c1949c3e10d45b6c4deb241009da245b2a71ab4d86f943ae8ac0640d75e9b", | |
| "language": "Python", | |
| "lines": 315, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9033 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/modules/misc/coord.py", | |
| "sha256": "14fc6960e7764c89a76fe3729dabcbf6e15190bed4edbc9deab1f3f9edeb2ddd", | |
| "language": "Python", | |
| "lines": 31, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5656 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/modules/transformer/mingpt.py", | |
| "sha256": "e5359ed032681e4de8460f6e5a5b5f911cff3504c37ae7adb415e2aecd85254a", | |
| "language": "Python", | |
| "lines": 415, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9151 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/modules/transformer/permuter.py", | |
| "sha256": "a70700c6ea3c5e14630ca49bea85ee1f737038a584eb90467e6f9fffae584f29", | |
| "language": "Python", | |
| "lines": 248, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7979 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/modules/util.py", | |
| "sha256": "ca8e4aea31984683d85c4ccd05a4145c02257660d6ebef1bb0b87c91422cd0fe", | |
| "language": "Python", | |
| "lines": 219, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7993 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/modules/vqvae/quantize.py", | |
| "sha256": "3ef2302edb73fda9e462066224caa61569bd3ec09aeaa41ff38c66fe877393eb", | |
| "language": "Python", | |
| "lines": 591, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9468 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/taming/util.py", | |
| "sha256": "1cfca04205f0b647da271809c3011b0f0c2fc920e1e847c79b270ee138f9de02", | |
| "language": "Python", | |
| "lines": 157, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7374 | |
| }, | |
| { | |
| "path": "inference/raven_v1_3/runtime/utils_v2.py", | |
| "sha256": "77431766bd1ea071c9a856eeb980dd7f265947dec139a50f36b2eff6a2aedd1a", | |
| "language": "Python", | |
| "lines": 913, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9751 | |
| }, | |
| { | |
| "path": "inference_runtime/autoencoder_eval_3D_patches_v18_cpuaware_cascade.py", | |
| "sha256": "c486a31fe301d3dc051dca53d8ecf744be15640cd23831c8b3b96c9d1e1d698e", | |
| "language": "Python", | |
| "lines": 1759, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9831 | |
| }, | |
| { | |
| "path": "inference_runtime/data_loader/__init__.py", | |
| "sha256": "7ada44de914c33bd7e80cab85c5564fe1156015b954be52082871dd338acd61d", | |
| "language": "Python", | |
| "lines": 3, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5051 | |
| }, | |
| { | |
| "path": "inference_runtime/data_loader/augmentation.py", | |
| "sha256": "31cbc3445339a7a4e33c56d601f4c5f1e8774a37c1639f46bb4d23a2b07e4fe0", | |
| "language": "Python", | |
| "lines": 133, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7005 | |
| }, | |
| { | |
| "path": "inference_runtime/data_loader/checkpoints.py", | |
| "sha256": "724dd93c7432c48236cd8181b7e5690c0bcedf1b97b2f66dad2ace3e5c48c74a", | |
| "language": "Python", | |
| "lines": 83, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6738 | |
| }, | |
| { | |
| "path": "inference_runtime/data_loader/common.py", | |
| "sha256": "5bd2e958f44ba959f4be1296a33284549e4e84c28cace2abc9802190321bfe9b", | |
| "language": "Python", | |
| "lines": 242, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8020 | |
| }, | |
| { | |
| "path": "inference_runtime/data_loader/conform.py", | |
| "sha256": "bcb6f2bbc00814e932f9d25199132490b8cba4d6cca3d947b85ce14790ea9d29", | |
| "language": "Python", | |
| "lines": 1669, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9820 | |
| }, | |
| { | |
| "path": "inference_runtime/data_loader/get_varying_maps.py", | |
| "sha256": "cf866d118eb12fbd4cc382232213008de4982cec8a915f060541e9a87cfecd89", | |
| "language": "Python", | |
| "lines": 34, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5710 | |
| }, | |
| { | |
| "path": "inference_runtime/data_loader/load_neuroimaging_data_final.py", | |
| "sha256": "3b2e0bc47ed54c540eb4f1b11874afbbaf38d86dc391b06393c45e4adea7ee5e", | |
| "language": "Python", | |
| "lines": 1666, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9828 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/data/base.py", | |
| "sha256": "4016b6242f78855179134781bd02cad9e843001623e3549f255103fd056de0b6", | |
| "language": "Python", | |
| "lines": 23, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5515 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/data/imagenet.py", | |
| "sha256": "0799471293f7c6c906b98014d13846062e833529ecfb377a8871bf7b602c1d6b", | |
| "language": "Python", | |
| "lines": 394, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9055 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/data/lsun.py", | |
| "sha256": "654355d9c1d3a9420dd3b36f39a1ec4a1f0f61334109aa2162d9d8e8acd3d3b7", | |
| "language": "Python", | |
| "lines": 92, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6881 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/lr_scheduler.py", | |
| "sha256": "6af592fcfcf975dde43bea71c8f0fc58b9949f5a9a381d6a819b21eee82104f6", | |
| "language": "Python", | |
| "lines": 98, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7091 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/models/autoencoder.py", | |
| "sha256": "8ba30483454b431e0642c229f286fe387c60130c26516cd392594186f9b4a4e5", | |
| "language": "Python", | |
| "lines": 443, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9200 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/models/diffusion/classifier.py", | |
| "sha256": "b84a1bd36b83ddd13c36f92d865b025b6556f11efe4a0321fd5a85fffe9fdf7e", | |
| "language": "Python", | |
| "lines": 267, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8539 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/models/diffusion/ddim.py", | |
| "sha256": "3086330c774355809af6c4ce02220a01811187a01a7d0be5cc914c4ac07e4a48", | |
| "language": "Python", | |
| "lines": 203, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8621 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/models/diffusion/ddpm.py", | |
| "sha256": "e5c085c54758952a13540fb69e9b7a6dccb46ae420c6bb2c589c51afab64013e", | |
| "language": "Python", | |
| "lines": 1445, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9825 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/models/diffusion/plms.py", | |
| "sha256": "e26c70c1389454fa96a7fd5144a240e8e4044043f44b85c1e322c8e429d2e40e", | |
| "language": "Python", | |
| "lines": 236, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8806 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/modules/attention.py", | |
| "sha256": "012198f441427ef892da0b6efc5ea9fae8e414aefcc65504577b41c2afd3526e", | |
| "language": "Python", | |
| "lines": 261, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8265 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/modules/diffusionmodules/model.py", | |
| "sha256": "043ff43c4d4304f7259419d1bd4529445da71661b5362653ecd174bd4342c413", | |
| "language": "Python", | |
| "lines": 835, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9659 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/modules/diffusionmodules/openaimodel.py", | |
| "sha256": "92e0c23ada849f532be12d9be2ebcddd98d3b040aa366981ac5f06c96d53b6af", | |
| "language": "Python", | |
| "lines": 961, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9677 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/modules/diffusionmodules/util.py", | |
| "sha256": "5dd19ed7536cc9095ab5d3ca4c09bde5283c0779207a1aa019c05565a2502dca", | |
| "language": "Python", | |
| "lines": 267, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8426 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/modules/distributions/distributions.py", | |
| "sha256": "52cd0b186a667898c52bec1a03eb5cba560a565377069f37b0fd82e1023a3788", | |
| "language": "Python", | |
| "lines": 156, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7626 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/modules/ema.py", | |
| "sha256": "96cf170a9d7b49c846990694a0abef039e2046d934d37f7a219015ccc0da4e1b", | |
| "language": "Python", | |
| "lines": 76, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6745 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/modules/encoders/modules.py", | |
| "sha256": "af126f268be34661bd7e13561325186e2d7d975879f5c976a7b088220635e4c3", | |
| "language": "Python", | |
| "lines": 202, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7927 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/modules/image_degradation/__init__.py", | |
| "sha256": "ae046f3b956e9aedba1096ac76946980edebb805504bf611b505ca411528b26f", | |
| "language": "Python", | |
| "lines": 2, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5158 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/modules/image_degradation/bsrgan.py", | |
| "sha256": "57e940e89a21ddba9f1e0c12ddd34c0c0811320f594eb7cf2910d1d7b049a955", | |
| "language": "Python", | |
| "lines": 730, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9489 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/modules/image_degradation/bsrgan_light.py", | |
| "sha256": "f301f605d3f5303fd9927eb020c7138c78c5eb4b0af1d220a4d6721ab2fa19b9", | |
| "language": "Python", | |
| "lines": 650, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9403 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/modules/image_degradation/utils_image.py", | |
| "sha256": "e7deb515ef7c1f2bf80d28485eeeb0c4e2b8767fa5f68309c7c83ec752fa512b", | |
| "language": "Python", | |
| "lines": 916, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9582 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/modules/losses/__init__.py", | |
| "sha256": "7254a0702a67d5e374b51335eaaa76e2e8af2cc5dd4da249b25adb3e06f718f6", | |
| "language": "Python", | |
| "lines": 1, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5036 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/modules/losses/contperceptual.py", | |
| "sha256": "27ab6d598ce421d1ed81ccc3bd623d8c6c48fdee4d37b6cf198d9ae3d2d284fa", | |
| "language": "Python", | |
| "lines": 111, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7599 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/modules/losses/vqperceptual.py", | |
| "sha256": "9905d89ea41bc366f5e451e2f835a0c0d49bed79e3d3e2c6edc83837320de093", | |
| "language": "Python", | |
| "lines": 167, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8145 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/modules/x_transformer.py", | |
| "sha256": "e1471ac666f662ba537df9a2df9554e91768e5016f36a32e55ba6058b89aecc9", | |
| "language": "Python", | |
| "lines": 641, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9332 | |
| }, | |
| { | |
| "path": "inference_runtime/ldm/util.py", | |
| "sha256": "5ed0d2cf71ecb6e8c2b8db0d275e11a9767d937bbcc745d754b36593d11eed05", | |
| "language": "Python", | |
| "lines": 203, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7668 | |
| }, | |
| { | |
| "path": "inference_runtime/main_hdf5.py", | |
| "sha256": "28e4fd6bc2b34689b5f074c1461e27ac777d60772bf2f7cd7949547e34db7f4e", | |
| "language": "Python", | |
| "lines": 638, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9435 | |
| }, | |
| { | |
| "path": "inference_runtime/setup.py", | |
| "sha256": "621d638274b584e5653ee4c2eaf161e44e21c204627b6b5d82d71eafc7fed259", | |
| "language": "Python", | |
| "lines": 13, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5210 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/data/ade20k.py", | |
| "sha256": "dbfebbb30dacd40060c742b9cbd8b83db71d55f9b05cfdb91189f72a62ce821d", | |
| "language": "Python", | |
| "lines": 124, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7548 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/data/annotated_objects_coco.py", | |
| "sha256": "17ba4b97538f1b67c786562732ffc0f9bb2c327aeafbfb63c08d2a34c2d915c0", | |
| "language": "Python", | |
| "lines": 139, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7658 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/data/annotated_objects_dataset.py", | |
| "sha256": "5b6eb978ae314d62caa43947e0069336a6f2fe9a7e9e4ff8f49c3810f26689b5", | |
| "language": "Python", | |
| "lines": 218, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8536 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/data/annotated_objects_open_images.py", | |
| "sha256": "bee0d5f5a4541e62ff353eea2ac40e7f92cf0930a254b00acb606aefedb62772", | |
| "language": "Python", | |
| "lines": 137, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7772 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/data/base.py", | |
| "sha256": "9b58ada3f5530a77fa9d4805175962799cf7ec483e01fff4f208db0ea697d54e", | |
| "language": "Python", | |
| "lines": 70, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6582 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/data/coco.py", | |
| "sha256": "85865bb0fbfa777c39fa45d7f870a88f962fd81107d13afeb9fc29542235c442", | |
| "language": "Python", | |
| "lines": 176, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8177 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/data/conditional_builder/objects_bbox.py", | |
| "sha256": "0bd33ded22e5456843b8c07f1c2059205a98aa7e463cfc808ebcdcf6a7bf9f76", | |
| "language": "Python", | |
| "lines": 60, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6855 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/data/conditional_builder/objects_center_points.py", | |
| "sha256": "b60ac5b3346f8692c1eee66be88b536e94656b691e6b4b71e4c07a035a975cc1", | |
| "language": "Python", | |
| "lines": 168, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8188 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/data/conditional_builder/utils.py", | |
| "sha256": "18b0b10ee9e3bf12ffec8c41f0b1fb3948acb095a84aff4b187683bbd6797a0d", | |
| "language": "Python", | |
| "lines": 105, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7119 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/data/custom.py", | |
| "sha256": "e3ecd94b15c1600ecf79288e9db6d61fbaa13e0bc2360ffde0b089cf087cc694", | |
| "language": "Python", | |
| "lines": 38, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5714 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/data/faceshq.py", | |
| "sha256": "8b9c29aa15412cf37f0e5407ab8c7825c7d203f41474822d9dc2b59ec063ebc5", | |
| "language": "Python", | |
| "lines": 134, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7339 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/data/helper_types.py", | |
| "sha256": "d9203e4e4d39b237157de183a2d2bdcfb1c4842aa15317ddc4253aa35230cabd", | |
| "language": "Python", | |
| "lines": 49, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5928 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/data/image_transforms.py", | |
| "sha256": "b7cb76a49d0b39df2371c203ec79e1363d53072ac096107bf98cb9edba26a9d3", | |
| "language": "Python", | |
| "lines": 132, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7300 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/data/imagenet.py", | |
| "sha256": "f98d4feeb4754e5789136eedd08adbbf7ceb1a0c57603c7839255ba5739208eb", | |
| "language": "Python", | |
| "lines": 558, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9354 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/data/open_images_helper.py", | |
| "sha256": "c3f25ae759f8d7a9c3a26d81e06006f43c7c73e0d1c39699f6b97d9054070f65", | |
| "language": "Python", | |
| "lines": 379, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8340 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/data/sflckr.py", | |
| "sha256": "db9161e5b39ce809b358254efac5af6ec51f563e69f0d53f1ce28f9d50192c97", | |
| "language": "Python", | |
| "lines": 91, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7166 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/data/utils.py", | |
| "sha256": "89c785fd9adfc8355357ec62cb2da2677d39ea3d93fee5f24e4a8c5293694a61", | |
| "language": "Python", | |
| "lines": 810, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9656 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/fsdp_setup.py", | |
| "sha256": "af820d608e76aa3c700c84f9a5752ec29a65c2ec425064e44953b903dbf388bf", | |
| "language": "Python", | |
| "lines": 53, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6239 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/lr_scheduler.py", | |
| "sha256": "b639ed00d137235ae6b7e9a1b9d0e4df0f515e23f384ed9cdfe8dd7b477f673e", | |
| "language": "Python", | |
| "lines": 34, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5837 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/models/autoencoders.py", | |
| "sha256": "43dd3f551346e0754abc0a087077446d024e3a3001301206f1ae4f7426879dd5", | |
| "language": "Python", | |
| "lines": 4418, | |
| "truncated": true, | |
| "block": 1, | |
| "row": 9882 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/models/cond_transformer.py", | |
| "sha256": "7edaec5d4f1c9b0c908c21fc91f23b96d96856626dcc82b70b5f616fe66b7db7", | |
| "language": "Python", | |
| "lines": 352, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9064 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/models/dummy_cond_stage.py", | |
| "sha256": "962a9c7dc75ba78840730ad14e490fd4f7da1310d4d46dd47aeca1aef29b8e25", | |
| "language": "Python", | |
| "lines": 22, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5325 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/models/mri_autoencoders.py", | |
| "sha256": "034c628dad86cc9d41c209e80fda2b07a9acea7ad1b3a9ab5e315ae45fa32f56", | |
| "language": "Python", | |
| "lines": 243, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8477 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/models/vqgan.py", | |
| "sha256": "7a08f309757c5c6ceb7023062c4a18c1aaedeb4635446d0627240dd175c233fe", | |
| "language": "Python", | |
| "lines": 816, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9699 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/modules/diffusionmodules/model.py", | |
| "sha256": "5bef7bcc246b356986d73236e61c149552e8e2970b689ab580bd94668fb8c2ed", | |
| "language": "Python", | |
| "lines": 2743, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9866 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/modules/diffusionmodules/model2.py", | |
| "sha256": "9ff8c3b6b3a213cf9af901eaf68c4e81a7e306425a850999020fe3ccdc9643a4", | |
| "language": "Python", | |
| "lines": 2571, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9861 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/modules/discriminator/model.py", | |
| "sha256": "06bbf5e897b7093b6bdffd084d729f70ed1ea6477551b4806ba86abedfe32f51", | |
| "language": "Python", | |
| "lines": 140, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7500 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/modules/losses/__init__.py", | |
| "sha256": "ff96415f613e64a1ba704a436b21ffcd46cfa2c81321c24204563df39019686f", | |
| "language": "Python", | |
| "lines": 2, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5024 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/modules/losses/contperceptual.py", | |
| "sha256": "5c9f56ef853d385877eb612fd845159a14f7d9290ae7dbcfaa1eea150357a084", | |
| "language": "Python", | |
| "lines": 3460, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9877 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/modules/losses/lpips.py", | |
| "sha256": "205f7d6dd3839a5d09bd667b9279b0cda7c0a5df348783e2c0f213a5d9cb3b49", | |
| "language": "Python", | |
| "lines": 138, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7606 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/modules/losses/segmentation.py", | |
| "sha256": "677f5115b24e7d1f7e9fa784cfb4aaf6cf155335bca3ad6d1ad29e8927102b12", | |
| "language": "Python", | |
| "lines": 22, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5592 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/modules/losses/vqperceptual.py", | |
| "sha256": "d94c1949c3e10d45b6c4deb241009da245b2a71ab4d86f943ae8ac0640d75e9b", | |
| "language": "Python", | |
| "lines": 315, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9033 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/modules/misc/coord.py", | |
| "sha256": "14fc6960e7764c89a76fe3729dabcbf6e15190bed4edbc9deab1f3f9edeb2ddd", | |
| "language": "Python", | |
| "lines": 31, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5656 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/modules/transformer/mingpt.py", | |
| "sha256": "e5359ed032681e4de8460f6e5a5b5f911cff3504c37ae7adb415e2aecd85254a", | |
| "language": "Python", | |
| "lines": 415, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9151 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/modules/transformer/permuter.py", | |
| "sha256": "a70700c6ea3c5e14630ca49bea85ee1f737038a584eb90467e6f9fffae584f29", | |
| "language": "Python", | |
| "lines": 248, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7979 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/modules/util.py", | |
| "sha256": "ca8e4aea31984683d85c4ccd05a4145c02257660d6ebef1bb0b87c91422cd0fe", | |
| "language": "Python", | |
| "lines": 219, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7993 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/modules/vqvae/quantize.py", | |
| "sha256": "3ef2302edb73fda9e462066224caa61569bd3ec09aeaa41ff38c66fe877393eb", | |
| "language": "Python", | |
| "lines": 591, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9468 | |
| }, | |
| { | |
| "path": "inference_runtime/taming/util.py", | |
| "sha256": "1cfca04205f0b647da271809c3011b0f0c2fc920e1e847c79b270ee138f9de02", | |
| "language": "Python", | |
| "lines": 157, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7374 | |
| }, | |
| { | |
| "path": "inference_runtime/utils_v2.py", | |
| "sha256": "77431766bd1ea071c9a856eeb980dd7f265947dec139a50f36b2eff6a2aedd1a", | |
| "language": "Python", | |
| "lines": 913, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9751 | |
| }, | |
| { | |
| "path": "jobs/legacy/submit_raven_f2_nfg32_nfd64_dw5e0_lpw2.0_l1w0.0_lrgtod0.05_3dlpips_AEv5.sh", | |
| "sha256": "b3d62452ea2b6ca7f82cad7b787fb8d437e3111d04d35f6cc2fc59025b0640b8", | |
| "language": "Shell", | |
| "lines": 22, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 11606 | |
| }, | |
| { | |
| "path": "jobs/legacy/submit_raven_f2_nfg64_nfd64_dw1e-1_lpw2.0_l1w0.0_lrgtod0.5_3dlpips_AEv5_gan_finetune.sh", | |
| "sha256": "271600b4754f0d7bc3f79bc42e9aa5b2ef44b3da76701229abe9a050c271f42e", | |
| "language": "Shell", | |
| "lines": 22, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 11610 | |
| }, | |
| { | |
| "path": "jobs/legacy/submit_raven_f2_nfg64_nfd64_dw5e0_lpw2.0_l1w0.0_lrgtod0.05_3dlpips_AEv5.sh", | |
| "sha256": "7b04ff879f385c50d8d210751f99b3916411056947d051059274f687e05ca32e", | |
| "language": "Shell", | |
| "lines": 22, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 11605 | |
| }, | |
| { | |
| "path": "jobs/legacy/submit_raven_f2_nfg64_nfd64_dw5e0_lpw2.0_l1w0.0_lrgtod0.05_3dlpips_v2.sh", | |
| "sha256": "5dc194efc1e6f1b65cc7a947f4d707b5131acd737cf003bac09d3a0d010e2034", | |
| "language": "Shell", | |
| "lines": 22, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 11584 | |
| }, | |
| { | |
| "path": "jobs/legacy/submit_raven_f2_nfg64_nfd64_dw5e0_lpw2.0_l1w0.0_lrgtod0.5_3dlpips_AEv5.sh", | |
| "sha256": "0f19f20bf3bf3aa7172c2cbfc5a69e0d589fddf9911ee7c2066cf5f31628cb5b", | |
| "language": "Shell", | |
| "lines": 22, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 11603 | |
| }, | |
| { | |
| "path": "jobs/legacy/submit_raven_f2_nodegrade_nfg64_nfd64_dw5e0_lpw2.0_l1w0.0_lrgtod0.05_3dlpips_AEv5.sh", | |
| "sha256": "90a62a43b9f09901c970f1548c8ca447c9d5226ef78a86b6d475b86cfe17873b", | |
| "language": "Shell", | |
| "lines": 22, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 11615 | |
| }, | |
| { | |
| "path": "jobs/legacy/submit_raven_f4_nfg64_nfd64_dw5e0_lpw2.0_l1w0.0_lrgtod0.05_3dlpips_AEv5.sh", | |
| "sha256": "bc85e676fadf0313d220cf7cf44e309fdac454056e0c4fa6b112637bec294515", | |
| "language": "Shell", | |
| "lines": 22, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 11607 | |
| }, | |
| { | |
| "path": "jobs/legacy/submit_test_raven_f2_nfg64_nfd64_dw5e0_lpw2.0_l1w0.0_lrgtod0.05_3dlpips_AEv5.sh", | |
| "sha256": "28999c09c97ffbf7a1fd12d8684b1eaa8fd678d3068b5163035cae15b2e23e99", | |
| "language": "Shell", | |
| "lines": 22, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 11586 | |
| }, | |
| { | |
| "path": "ldm/data/base.py", | |
| "sha256": "4016b6242f78855179134781bd02cad9e843001623e3549f255103fd056de0b6", | |
| "language": "Python", | |
| "lines": 23, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5515 | |
| }, | |
| { | |
| "path": "ldm/data/imagenet.py", | |
| "sha256": "0799471293f7c6c906b98014d13846062e833529ecfb377a8871bf7b602c1d6b", | |
| "language": "Python", | |
| "lines": 394, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9055 | |
| }, | |
| { | |
| "path": "ldm/data/lsun.py", | |
| "sha256": "654355d9c1d3a9420dd3b36f39a1ec4a1f0f61334109aa2162d9d8e8acd3d3b7", | |
| "language": "Python", | |
| "lines": 92, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6881 | |
| }, | |
| { | |
| "path": "ldm/lr_scheduler.py", | |
| "sha256": "6af592fcfcf975dde43bea71c8f0fc58b9949f5a9a381d6a819b21eee82104f6", | |
| "language": "Python", | |
| "lines": 98, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7091 | |
| }, | |
| { | |
| "path": "ldm/models/autoencoder.py", | |
| "sha256": "8ba30483454b431e0642c229f286fe387c60130c26516cd392594186f9b4a4e5", | |
| "language": "Python", | |
| "lines": 443, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9200 | |
| }, | |
| { | |
| "path": "ldm/models/diffusion/classifier.py", | |
| "sha256": "b84a1bd36b83ddd13c36f92d865b025b6556f11efe4a0321fd5a85fffe9fdf7e", | |
| "language": "Python", | |
| "lines": 267, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8539 | |
| }, | |
| { | |
| "path": "ldm/models/diffusion/ddim.py", | |
| "sha256": "3086330c774355809af6c4ce02220a01811187a01a7d0be5cc914c4ac07e4a48", | |
| "language": "Python", | |
| "lines": 203, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8621 | |
| }, | |
| { | |
| "path": "ldm/models/diffusion/ddpm.py", | |
| "sha256": "e5c085c54758952a13540fb69e9b7a6dccb46ae420c6bb2c589c51afab64013e", | |
| "language": "Python", | |
| "lines": 1445, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9825 | |
| }, | |
| { | |
| "path": "ldm/models/diffusion/plms.py", | |
| "sha256": "e26c70c1389454fa96a7fd5144a240e8e4044043f44b85c1e322c8e429d2e40e", | |
| "language": "Python", | |
| "lines": 236, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8806 | |
| }, | |
| { | |
| "path": "ldm/modules/attention.py", | |
| "sha256": "012198f441427ef892da0b6efc5ea9fae8e414aefcc65504577b41c2afd3526e", | |
| "language": "Python", | |
| "lines": 261, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8265 | |
| }, | |
| { | |
| "path": "ldm/modules/diffusionmodules/model.py", | |
| "sha256": "043ff43c4d4304f7259419d1bd4529445da71661b5362653ecd174bd4342c413", | |
| "language": "Python", | |
| "lines": 835, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9659 | |
| }, | |
| { | |
| "path": "ldm/modules/diffusionmodules/openaimodel.py", | |
| "sha256": "92e0c23ada849f532be12d9be2ebcddd98d3b040aa366981ac5f06c96d53b6af", | |
| "language": "Python", | |
| "lines": 961, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9677 | |
| }, | |
| { | |
| "path": "ldm/modules/diffusionmodules/util.py", | |
| "sha256": "5dd19ed7536cc9095ab5d3ca4c09bde5283c0779207a1aa019c05565a2502dca", | |
| "language": "Python", | |
| "lines": 267, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8426 | |
| }, | |
| { | |
| "path": "ldm/modules/distributions/distributions.py", | |
| "sha256": "52cd0b186a667898c52bec1a03eb5cba560a565377069f37b0fd82e1023a3788", | |
| "language": "Python", | |
| "lines": 156, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7626 | |
| }, | |
| { | |
| "path": "ldm/modules/ema.py", | |
| "sha256": "96cf170a9d7b49c846990694a0abef039e2046d934d37f7a219015ccc0da4e1b", | |
| "language": "Python", | |
| "lines": 76, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6745 | |
| }, | |
| { | |
| "path": "ldm/modules/encoders/modules.py", | |
| "sha256": "af126f268be34661bd7e13561325186e2d7d975879f5c976a7b088220635e4c3", | |
| "language": "Python", | |
| "lines": 202, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7927 | |
| }, | |
| { | |
| "path": "ldm/modules/image_degradation/__init__.py", | |
| "sha256": "ae046f3b956e9aedba1096ac76946980edebb805504bf611b505ca411528b26f", | |
| "language": "Python", | |
| "lines": 2, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5158 | |
| }, | |
| { | |
| "path": "ldm/modules/image_degradation/bsrgan.py", | |
| "sha256": "57e940e89a21ddba9f1e0c12ddd34c0c0811320f594eb7cf2910d1d7b049a955", | |
| "language": "Python", | |
| "lines": 730, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9489 | |
| }, | |
| { | |
| "path": "ldm/modules/image_degradation/bsrgan_light.py", | |
| "sha256": "f301f605d3f5303fd9927eb020c7138c78c5eb4b0af1d220a4d6721ab2fa19b9", | |
| "language": "Python", | |
| "lines": 650, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9403 | |
| }, | |
| { | |
| "path": "ldm/modules/image_degradation/utils_image.py", | |
| "sha256": "e7deb515ef7c1f2bf80d28485eeeb0c4e2b8767fa5f68309c7c83ec752fa512b", | |
| "language": "Python", | |
| "lines": 916, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9582 | |
| }, | |
| { | |
| "path": "ldm/modules/losses/__init__.py", | |
| "sha256": "7254a0702a67d5e374b51335eaaa76e2e8af2cc5dd4da249b25adb3e06f718f6", | |
| "language": "Python", | |
| "lines": 1, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5036 | |
| }, | |
| { | |
| "path": "ldm/modules/losses/contperceptual.py", | |
| "sha256": "27ab6d598ce421d1ed81ccc3bd623d8c6c48fdee4d37b6cf198d9ae3d2d284fa", | |
| "language": "Python", | |
| "lines": 111, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7599 | |
| }, | |
| { | |
| "path": "ldm/modules/losses/vqperceptual.py", | |
| "sha256": "9905d89ea41bc366f5e451e2f835a0c0d49bed79e3d3e2c6edc83837320de093", | |
| "language": "Python", | |
| "lines": 167, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8145 | |
| }, | |
| { | |
| "path": "ldm/modules/x_transformer.py", | |
| "sha256": "e1471ac666f662ba537df9a2df9554e91768e5016f36a32e55ba6058b89aecc9", | |
| "language": "Python", | |
| "lines": 641, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9332 | |
| }, | |
| { | |
| "path": "ldm/util.py", | |
| "sha256": "5ed0d2cf71ecb6e8c2b8db0d275e11a9767d937bbcc745d754b36593d11eed05", | |
| "language": "Python", | |
| "lines": 203, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7668 | |
| }, | |
| { | |
| "path": "main_hdf5.py", | |
| "sha256": "28e4fd6bc2b34689b5f074c1461e27ac777d60772bf2f7cd7949547e34db7f4e", | |
| "language": "Python", | |
| "lines": 638, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9435 | |
| }, | |
| { | |
| "path": "main_hdf5_3d_v6_5.py", | |
| "sha256": "5be4db7a42183103d7648effc0fd3ff4d5fe35a4b0b9f07d864c569c39a25bd2", | |
| "language": "Python", | |
| "lines": 1115, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9774 | |
| }, | |
| { | |
| "path": "provenance/build_bundle_manifest.py", | |
| "sha256": "0a6805f9dfe25e1d431c9faeabf82ebbd95d88e6f14c3f6c11ee9f959f266cc1", | |
| "language": "Python", | |
| "lines": 134, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7607 | |
| }, | |
| { | |
| "path": "setup.py", | |
| "sha256": "621d638274b584e5653ee4c2eaf161e44e21c204627b6b5d82d71eafc7fed259", | |
| "language": "Python", | |
| "lines": 13, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5210 | |
| }, | |
| { | |
| "path": "taming/data/ade20k.py", | |
| "sha256": "dbfebbb30dacd40060c742b9cbd8b83db71d55f9b05cfdb91189f72a62ce821d", | |
| "language": "Python", | |
| "lines": 124, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7548 | |
| }, | |
| { | |
| "path": "taming/data/annotated_objects_coco.py", | |
| "sha256": "17ba4b97538f1b67c786562732ffc0f9bb2c327aeafbfb63c08d2a34c2d915c0", | |
| "language": "Python", | |
| "lines": 139, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7658 | |
| }, | |
| { | |
| "path": "taming/data/annotated_objects_dataset.py", | |
| "sha256": "5b6eb978ae314d62caa43947e0069336a6f2fe9a7e9e4ff8f49c3810f26689b5", | |
| "language": "Python", | |
| "lines": 218, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8536 | |
| }, | |
| { | |
| "path": "taming/data/annotated_objects_open_images.py", | |
| "sha256": "bee0d5f5a4541e62ff353eea2ac40e7f92cf0930a254b00acb606aefedb62772", | |
| "language": "Python", | |
| "lines": 137, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7772 | |
| }, | |
| { | |
| "path": "taming/data/base.py", | |
| "sha256": "9b58ada3f5530a77fa9d4805175962799cf7ec483e01fff4f208db0ea697d54e", | |
| "language": "Python", | |
| "lines": 70, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6582 | |
| }, | |
| { | |
| "path": "taming/data/coco.py", | |
| "sha256": "85865bb0fbfa777c39fa45d7f870a88f962fd81107d13afeb9fc29542235c442", | |
| "language": "Python", | |
| "lines": 176, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8177 | |
| }, | |
| { | |
| "path": "taming/data/conditional_builder/objects_bbox.py", | |
| "sha256": "0bd33ded22e5456843b8c07f1c2059205a98aa7e463cfc808ebcdcf6a7bf9f76", | |
| "language": "Python", | |
| "lines": 60, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6855 | |
| }, | |
| { | |
| "path": "taming/data/conditional_builder/objects_center_points.py", | |
| "sha256": "b60ac5b3346f8692c1eee66be88b536e94656b691e6b4b71e4c07a035a975cc1", | |
| "language": "Python", | |
| "lines": 168, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8188 | |
| }, | |
| { | |
| "path": "taming/data/conditional_builder/utils.py", | |
| "sha256": "18b0b10ee9e3bf12ffec8c41f0b1fb3948acb095a84aff4b187683bbd6797a0d", | |
| "language": "Python", | |
| "lines": 105, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7119 | |
| }, | |
| { | |
| "path": "taming/data/custom.py", | |
| "sha256": "e3ecd94b15c1600ecf79288e9db6d61fbaa13e0bc2360ffde0b089cf087cc694", | |
| "language": "Python", | |
| "lines": 38, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5714 | |
| }, | |
| { | |
| "path": "taming/data/faceshq.py", | |
| "sha256": "8b9c29aa15412cf37f0e5407ab8c7825c7d203f41474822d9dc2b59ec063ebc5", | |
| "language": "Python", | |
| "lines": 134, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7339 | |
| }, | |
| { | |
| "path": "taming/data/helper_types.py", | |
| "sha256": "d9203e4e4d39b237157de183a2d2bdcfb1c4842aa15317ddc4253aa35230cabd", | |
| "language": "Python", | |
| "lines": 49, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5928 | |
| }, | |
| { | |
| "path": "taming/data/image_transforms.py", | |
| "sha256": "b7cb76a49d0b39df2371c203ec79e1363d53072ac096107bf98cb9edba26a9d3", | |
| "language": "Python", | |
| "lines": 132, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7300 | |
| }, | |
| { | |
| "path": "taming/data/imagenet.py", | |
| "sha256": "f98d4feeb4754e5789136eedd08adbbf7ceb1a0c57603c7839255ba5739208eb", | |
| "language": "Python", | |
| "lines": 558, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9354 | |
| }, | |
| { | |
| "path": "taming/data/open_images_helper.py", | |
| "sha256": "c3f25ae759f8d7a9c3a26d81e06006f43c7c73e0d1c39699f6b97d9054070f65", | |
| "language": "Python", | |
| "lines": 379, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 8340 | |
| }, | |
| { | |
| "path": "taming/data/sflckr.py", | |
| "sha256": "db9161e5b39ce809b358254efac5af6ec51f563e69f0d53f1ce28f9d50192c97", | |
| "language": "Python", | |
| "lines": 91, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7166 | |
| }, | |
| { | |
| "path": "taming/data/utils.py", | |
| "sha256": "2e2e29e5c325e1a4ba31e210a367600ab03e238c71cbccc5e3ec04103c2a44d2", | |
| "language": "Python", | |
| "lines": 759, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9625 | |
| }, | |
| { | |
| "path": "taming/fsdp_setup.py", | |
| "sha256": "af820d608e76aa3c700c84f9a5752ec29a65c2ec425064e44953b903dbf388bf", | |
| "language": "Python", | |
| "lines": 53, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 6239 | |
| }, | |
| { | |
| "path": "taming/lr_scheduler.py", | |
| "sha256": "b639ed00d137235ae6b7e9a1b9d0e4df0f515e23f384ed9cdfe8dd7b477f673e", | |
| "language": "Python", | |
| "lines": 34, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5837 | |
| }, | |
| { | |
| "path": "taming/models/autoencoders.py", | |
| "sha256": "01d6c0b0cd6947bea9cae681beb5cd8368fc44d0e3c725a40810377e03ff4a02", | |
| "language": "Python", | |
| "lines": 4418, | |
| "truncated": true, | |
| "block": 1, | |
| "row": 9880 | |
| }, | |
| { | |
| "path": "taming/models/cond_transformer.py", | |
| "sha256": "7edaec5d4f1c9b0c908c21fc91f23b96d96856626dcc82b70b5f616fe66b7db7", | |
| "language": "Python", | |
| "lines": 352, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9064 | |
| }, | |
| { | |
| "path": "taming/models/dummy_cond_stage.py", | |
| "sha256": "962a9c7dc75ba78840730ad14e490fd4f7da1310d4d46dd47aeca1aef29b8e25", | |
| "language": "Python", | |
| "lines": 22, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5325 | |
| }, | |
| { | |
| "path": "taming/models/vqgan.py", | |
| "sha256": "7a08f309757c5c6ceb7023062c4a18c1aaedeb4635446d0627240dd175c233fe", | |
| "language": "Python", | |
| "lines": 816, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9699 | |
| }, | |
| { | |
| "path": "taming/modules/diffusionmodules/model.py", | |
| "sha256": "5bef7bcc246b356986d73236e61c149552e8e2970b689ab580bd94668fb8c2ed", | |
| "language": "Python", | |
| "lines": 2743, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9866 | |
| }, | |
| { | |
| "path": "taming/modules/diffusionmodules/model2.py", | |
| "sha256": "9ff8c3b6b3a213cf9af901eaf68c4e81a7e306425a850999020fe3ccdc9643a4", | |
| "language": "Python", | |
| "lines": 2571, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9861 | |
| }, | |
| { | |
| "path": "taming/modules/discriminator/model.py", | |
| "sha256": "06bbf5e897b7093b6bdffd084d729f70ed1ea6477551b4806ba86abedfe32f51", | |
| "language": "Python", | |
| "lines": 140, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7500 | |
| }, | |
| { | |
| "path": "taming/modules/losses/__init__.py", | |
| "sha256": "ff96415f613e64a1ba704a436b21ffcd46cfa2c81321c24204563df39019686f", | |
| "language": "Python", | |
| "lines": 2, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5024 | |
| }, | |
| { | |
| "path": "taming/modules/losses/contperceptual.py", | |
| "sha256": "1be9a2768fba49a187a7c9a6c5c042b32dbcbfb7351cd6a969b75b8d73c418e3", | |
| "language": "Python", | |
| "lines": 3460, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9878 | |
| }, | |
| { | |
| "path": "taming/modules/losses/lpips.py", | |
| "sha256": "205f7d6dd3839a5d09bd667b9279b0cda7c0a5df348783e2c0f213a5d9cb3b49", | |
| "language": "Python", | |
| "lines": 138, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7606 | |
| }, | |
| { | |
| "path": "taming/modules/losses/segmentation.py", | |
| "sha256": "677f5115b24e7d1f7e9fa784cfb4aaf6cf155335bca3ad6d1ad29e8927102b12", | |
| "language": "Python", | |
| "lines": 22, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5592 | |
| }, | |
| { | |
| "path": "taming/modules/losses/vqperceptual.py", | |
| "sha256": "d94c1949c3e10d45b6c4deb241009da245b2a71ab4d86f943ae8ac0640d75e9b", | |
| "language": "Python", | |
| "lines": 315, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9033 | |
| }, | |
| { | |
| "path": "taming/modules/misc/coord.py", | |
| "sha256": "14fc6960e7764c89a76fe3729dabcbf6e15190bed4edbc9deab1f3f9edeb2ddd", | |
| "language": "Python", | |
| "lines": 31, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 5656 | |
| }, | |
| { | |
| "path": "taming/modules/transformer/mingpt.py", | |
| "sha256": "e5359ed032681e4de8460f6e5a5b5f911cff3504c37ae7adb415e2aecd85254a", | |
| "language": "Python", | |
| "lines": 415, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9151 | |
| }, | |
| { | |
| "path": "taming/modules/transformer/permuter.py", | |
| "sha256": "a70700c6ea3c5e14630ca49bea85ee1f737038a584eb90467e6f9fffae584f29", | |
| "language": "Python", | |
| "lines": 248, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7979 | |
| }, | |
| { | |
| "path": "taming/modules/util.py", | |
| "sha256": "ca8e4aea31984683d85c4ccd05a4145c02257660d6ebef1bb0b87c91422cd0fe", | |
| "language": "Python", | |
| "lines": 219, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7993 | |
| }, | |
| { | |
| "path": "taming/modules/vqvae/quantize.py", | |
| "sha256": "3ef2302edb73fda9e462066224caa61569bd3ec09aeaa41ff38c66fe877393eb", | |
| "language": "Python", | |
| "lines": 591, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9468 | |
| }, | |
| { | |
| "path": "taming/util.py", | |
| "sha256": "1cfca04205f0b647da271809c3011b0f0c2fc920e1e847c79b270ee138f9de02", | |
| "language": "Python", | |
| "lines": 157, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7374 | |
| }, | |
| { | |
| "path": "tests/runtime_checks.py", | |
| "sha256": "ccaa53cec5a440a5175ff77826103a8d72d91126b00306e5390c983486af9558", | |
| "language": "Python", | |
| "lines": 135, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7995 | |
| }, | |
| { | |
| "path": "tests/validate_bundle.py", | |
| "sha256": "2250a710be99633f33c7e2ab838789129fa7477ada3ddcce7b7461e0641d53e8", | |
| "language": "Python", | |
| "lines": 324, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9065 | |
| }, | |
| { | |
| "path": "train.py", | |
| "sha256": "e289787385d95abb27c10264efd9b42653a176f64444b305d7ef904fd96ec16e", | |
| "language": "Python", | |
| "lines": 1118, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 9772 | |
| }, | |
| { | |
| "path": "train_launcher.py", | |
| "sha256": "cb4a35b2fbf9f3adf747fdafa57b333caaf382bed3fdd7c0060a04a8a8cf2b7f", | |
| "language": "Python", | |
| "lines": 145, | |
| "truncated": false, | |
| "block": 1, | |
| "row": 7491 | |
| } | |
| ] | |
| } |