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Release 74.84M Nepali Hindi English research OCR with source and native Paddle weights
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{
"scope": "Export one actual conditional Paddle encoder and check all24 source fixtures.\n\nCount every saved neural value, including conditional factors. No source tensor\ninjection, separate full encoder, decoder, beam generation or quality claim.\nThe unchanged1e-4 bound applies to both branches; failure never changes it.\n",
"PID": 722385,
"proc_starttime": "1579109973",
"bundle_identity": {
"candidate_manifest_sha256": "0510d21cd0bb7a249dafac167fd2e371ee63bd6f83a016a6c4f2e7c6bb843ede",
"weights_sha256": "9b58d252978d3a5d33adcdaea95e113162daf5146e20a9e1b8aa47e21e48ed93",
"trained_bundle": true,
"control_weights": false,
"source_sha256": {
"audit_shared_character_training.py": "3eccbe9b38f6c4aa255ac96d5bbe3229631cf0d1eb9b9a0ee1a6665e5b52b323",
"character_handwriting_curriculum.py": "ac6aeac728da7c20e1d5a16248aca81f5522d6614629b07052679d288259e53e",
"shared_character_recognizer.py": "0498d8b7d61f3c8e4a4fdcd927a507464cfaf8156bf874a211484a5474697719",
"shared_character_training.py": "b0991c9fd0da42c736c4d5b36f9b64f23c9be94303a259867402e8e4cfd42012",
"shared_private_protocol.py": "49384fcd48140482e0efc9a190c56878dc8d6d367f3d85aa843f948a269152b1",
"train_shared_character_private.py": "d50a1ea8f2f13fefe2f3a5166ddc417aee4c42c2da1ef2ff90c2602d5788fc3a",
"training_checkpoint.py": "569a4ca5b0a81b29f678e066e8bfa5bd337fcc2785bbc4b5d0dfd3e8dea7a051",
"trocr_character_codec.py": "7ede21e57fd4985153570820873abf690cc48de2e677b38828753fbedfdbd5e2",
"trocr_training_loss.py": "cb722cf44ef61f883f0e932763fe5566ecbab1d05a4f69ad68e466334d188f86"
},
"weight_verification_sha256": "693a3c2542b1a0284fd3967827dbbb77621e0d155ac62f32f00f2eb3a623f2de"
},
"candidate_manifest_sha256": "0510d21cd0bb7a249dafac167fd2e371ee63bd6f83a016a6c4f2e7c6bb843ede",
"controls_sha256": "31f8b5ec579311d64b6ebfbd1f8e63e076c3565d9f12609398c76a096041b30e",
"parameters_by_graph": {
"encoder": 30432384,
"english_decoder": 38453760,
"character_decoder": 5956608
},
"whole_candidate_parameters": 74842752,
"numerical_limit": 0.0001,
"source_sha256": {
"audit_shared_character_paddle_encoder.py": "69f730d2e5fa581c93d8ccc5c02b5ef79843bf0dffe6fb2d27f689c53348bbff",
"shared_character_paddle.py": "d3947e59ada6971a8ce03a40d94886bd188e147a36872ca255798e4974dc3521",
"trocr_paddle_graphs.py": "13422f5004d84084e02dcf5d7fbc17623e9d17f6e7d67be256c5a05b122a880b",
"trocr_paddle_compact_encoder.py": "f2298a4e5cae283d72efd709e237bc71fcffd527dbc08a709bc599ade9aaea85",
"trocr_paddle_source_order_encoder.py": "aa937bb6ba67fd86e6214aa3a0be626e88a0c469a121ad4e9b1f6d250d704737",
"trocr_paddle_norm_probe.py": "e991a2a36ac6f89f05906c3635037caa2666ad5cbbc48db9396747abe4ba526f",
"trocr_paddle_sleef_probe.py": "14dcf8341e6bba8ad98eb1381dd6628d961bd4499ca5b1595f0153a9ab37d97c",
"trocr_paddle_attention_probe.py": "c7405bb5602c4cde7f1a3c5c53a7e2fced0e2e2064cdb78911cdcfff1e66e06f",
"trocr_source_cpu_ops.cc": "63bb541df8f7a1f8635c946f2407aa0f449e63cfe480cbbe6c0b8d6fb2f5f4c2",
"trocr_selective_onednn_pass.cc": "ff304ef7e20f22cc1bf3c3199c6614bc3e870db640e569d465ca87c6704051b6",
"shared_bundle_identity.py": "e696082c61d0f1e3dfc76130e3496d9964a517e2097b7cd15525de9cb267660f"
},
"Paddle": "3.3.1",
"CPU_affinity": [
0,
1
],
"custom_passes": [
"ocr_conv_gelu_onednn_v1"
],
"GPU_supported": false,
"expose_features": false
}