diff --git a/models/ResNet50/class_names.json b/models/ResNet50/class_names.json new file mode 100644 index 0000000000000000000000000000000000000000..57874547cdef98b4f08dd1eebb09a2dcedc3ed4e --- /dev/null +++ b/models/ResNet50/class_names.json @@ -0,0 +1 @@ +["Abo", "Abra", "Akwakwak", "Alakazam", "Amonistar", "Amonita", "Aquali", "Arbok", "Arcanin", "Artikodin", "Aspicot", "A\u00e9romite", "Boustiflor", "Bulbizarre", "Caninos", "Carabaffe", "Carapuce", "Chenipan", "Chrysacier", "Ch\u00e9tiflor", "Coconfort", "Colossinge", "Crustabri", "Dardargnan", "Dodrio", "Doduo", "Dracaufeu", "Draco", "Dracolosse", "Ectoplasma", "Empiflor", "Excelangue", "Fantominus", "Farfetchd", "Feunard", "Flagadoss", "Florizarre", "F\u00e9rosinge", "Galopa", "Goupix", "Gravalanch", "Grodoudou", "Grolem", "Grotadmorv", "Herbizarre", "Hypnomade", "Hypoc\u00e9an", "Hypotrempe", "Ins\u00e9cateur", "Kabuto", "Kabutops", "Kadabra", "Kangourex", "Kicklee", "Kokiyas", "Krabboss", "Krabby", "Lamantine", "Leveinard", "Lippoutou", "Lokhlass", "L\u00e9viator", "M. Mime", "Machoc", "Machopeur", "Mackogneur", "Magicarpe", "Magmar", "Magn\u00e9ti", "Magn\u00e9ton", "Mew", "Mewtwo", "Miaouss", "Mimitoss", "Minidraco", "Mystherbe", "M\u00e9lodelfe", "M\u00e9lof\u00e9e", "M\u00e9tamorph", "Nidoking", "Nidoqueen", "Nidoran_femelle", "Nidoran_male", "Nidorina", "Nidorino", "Noadkoko", "Noeunoeuf", "Nosferalto", "Nosferapti", "Onix", "Ortide", "Ossatueur", "Osselait", "Otaria", "Papilusion", "Paras", "Parasect", "Persian", "Piafabec", "Pikachu", "Poissir\u00e8ne", "Poissoroy", "Ponyta", "Porygon", "Psykokwak", "Ptitard", "Pt\u00e9ra", "Pyroli", "Racaillou", "Rafflesia", "Raichu", "Ramoloss", "Rapasdepic", "Rattata", "Rattatac", "Reptincel", "Rhinocorne", "Rhinof\u00e9ros", "Rondoudou", "Ronflex", "Roucarnage", "Roucool", "Roucoups", "Sabelette", "Sablaireau", "Salam\u00e8che", "Saquedeneu", "Scarabrute", "Smogo", "Smogogo", "Soporifik", "Spectrum", "Stari", "Staross", "Sulfura", "Tadmorv", "Tartard", "Taupiqueur", "Tauros", "Tentacool", "Tentacruel", "Tortank", "Triopikeur", "Tygnon", "T\u00eatarte", "Voltali", "Voltorbe", "\u00c9lecthor", "\u00c9lectrode", "\u00c9lektek", "\u00c9voli"] \ No newline at end of file diff --git a/models/ResNet50/pokedex_ResNet50.h5 b/models/ResNet50/pokedex_ResNet50.h5 new file mode 100644 index 0000000000000000000000000000000000000000..6bea662bb4fa264c8136e9fbe7847cbd4f930042 Binary files /dev/null and b/models/ResNet50/pokedex_ResNet50.h5 differ diff --git a/models/ResNet50/saved_model/fingerprint.pb b/models/ResNet50/saved_model/fingerprint.pb new file mode 100644 index 0000000000000000000000000000000000000000..4a3ba65921a84076571d876431c1efed283b9eeb Binary files /dev/null and b/models/ResNet50/saved_model/fingerprint.pb differ diff --git a/models/ResNet50/saved_model/saved_model.pb b/models/ResNet50/saved_model/saved_model.pb new file mode 100644 index 0000000000000000000000000000000000000000..1c7dd19fe809df872e96d8939947c44866b4d074 Binary files /dev/null and b/models/ResNet50/saved_model/saved_model.pb differ diff --git a/models/ResNet50/saved_model/variables/variables.data-00000-of-00001 b/models/ResNet50/saved_model/variables/variables.data-00000-of-00001 new file mode 100644 index 0000000000000000000000000000000000000000..7a44aafd15cf250447a6b6e8093f592deb7681aa Binary files /dev/null and b/models/ResNet50/saved_model/variables/variables.data-00000-of-00001 differ diff --git a/models/ResNet50/saved_model/variables/variables.index b/models/ResNet50/saved_model/variables/variables.index new file mode 100644 index 0000000000000000000000000000000000000000..4c3471082b3e4d9baa96269a41ca46643e9db108 Binary files /dev/null and b/models/ResNet50/saved_model/variables/variables.index differ diff --git a/slurm/ResNet50_16519109.out b/slurm/ResNet50_16519109.out index 7360036e5bc8c739bc9ae934715bae5ed4568304..3d3574ef558201d22ec50f86fb26a48094cf50e5 100644 --- a/slurm/ResNet50_16519109.out +++ b/slurm/ResNet50_16519109.out @@ -12,3 +12,201 @@ To enable them in other operations, rebuild TensorFlow with the appropriate comp 2025-04-09 18:20:19.442190: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2025-04-09 18:20:19.442518: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2025-04-09 18:20:19.442797: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1613] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 79383 MB memory: -> device: 0, name: NVIDIA A100 80GB PCIe, pci bus id: 0000:81:00.0, compute capability: 8.0 +2025-04-09 18:21:15.044082: W tensorflow/core/lib/png/png_io.cc:88] PNG warning: iCCP: known incorrect sRGB profile +2025-04-09 18:21:50.814471: W tensorflow/core/lib/png/png_io.cc:88] PNG warning: iCCP: known incorrect sRGB profile +WARNING:tensorflow:From /opt/ebsofts/TensorFlow/2.11.0-foss-2022a-CUDA-11.7.0/lib/python3.10/site-packages/tensorflow/python/autograph/pyct/static_analysis/liveness.py:83: Analyzer.lamba_check (from tensorflow.python.autograph.pyct.static_analysis.liveness) is deprecated and will be removed after 2023-09-23. +Instructions for updating: +Lambda fuctions will be no more assumed to be used in the statement where they are used, or at least in the same block. https://github.com/tensorflow/tensorflow/issues/56089 +WARNING:tensorflow:Using a while_loop for converting RngReadAndSkip cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting Bitcast cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting Bitcast cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting StatelessRandomUniformV2 cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting ImageProjectiveTransformV3 cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting RngReadAndSkip cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting Bitcast cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting Bitcast cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting StatelessRandomUniformV2 cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting ImageProjectiveTransformV3 cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting RngReadAndSkip cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting Bitcast cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting Bitcast cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting StatelessRandomUniformFullIntV2 cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting StatelessRandomGetKeyCounter cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting StatelessRandomUniformV2 cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting RngReadAndSkip cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting Bitcast cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting Bitcast cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting StatelessRandomUniformV2 cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting ImageProjectiveTransformV3 cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting RngReadAndSkip cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting Bitcast cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting Bitcast cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting StatelessRandomUniformV2 cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting ImageProjectiveTransformV3 cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting RngReadAndSkip cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting Bitcast cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting Bitcast cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting StatelessRandomUniformFullIntV2 cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting StatelessRandomGetKeyCounter cause there is no registered converter for this op. +WARNING:tensorflow:Using a while_loop for converting StatelessRandomUniformV2 cause there is no registered converter for this op. +2025-04-09 18:22:06.662632: W tensorflow/core/grappler/optimizers/data/auto_shard.cc:784] AUTO sharding policy will apply DATA sharding policy as it failed to apply FILE sharding policy because of the following reason: Found an unshardable source dataset: name: "TensorSliceDataset/_1" +op: "TensorSliceDataset" +input: "Placeholder/_0" +attr { + key: "Toutput_types" + value { + list { + type: DT_STRING + } + } +} +attr { + key: "_cardinality" + value { + i: 20409 + } +} +attr { + key: "is_files" + value { + b: false + } +} +attr { + key: "metadata" + value { + s: "\n\024TensorSliceDataset:0" + } +} +attr { + key: "output_shapes" + value { + list { + shape { + } + } + } +} +attr { + key: "replicate_on_split" + value { + b: false + } +} +experimental_type { + type_id: TFT_PRODUCT + args { + type_id: TFT_DATASET + args { + type_id: TFT_PRODUCT + args { + type_id: TFT_TENSOR + args { + type_id: TFT_STRING + } + } + } + } +} + +Number of GPUs: 1 +Found 25511 files belonging to 151 classes. +Using 20409 files for training. +Found 25511 files belonging to 151 classes. +Using 5102 files for validation. +Detected 151 Pokémon classes. +Computing class weights... +Class weights ready. +Epoch 1/20 +2025-04-09 18:22:19.214622: I tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:428] Loaded cuDNN version 8401 +2025-04-09 18:22:20.852836: I tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:630] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once. +2025-04-09 18:22:20.858820: I tensorflow/compiler/xla/service/service.cc:173] XLA service 0x14c6397c98d0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: +2025-04-09 18:22:20.858838: I tensorflow/compiler/xla/service/service.cc:181] StreamExecutor device (0): NVIDIA A100 80GB PCIe, Compute Capability 8.0 +2025-04-09 18:22:20.929639: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:268] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable. +2025-04-09 18:22:21.367691: I tensorflow/compiler/jit/xla_compilation_cache.cc:477] Compiled cluster using XLA! 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ETA: 3s - loss: 1.3960 - accuracy: 0.6624 624/638 [============================>.] - ETA: 2s - loss: 1.3946 - accuracy: 0.6627 625/638 [============================>.] - ETA: 2s - loss: 1.3934 - accuracy: 0.6629 626/638 [============================>.] - ETA: 2s - loss: 1.3919 - accuracy: 0.6632 627/638 [============================>.] - ETA: 2s - loss: 1.3904 - accuracy: 0.6636 628/638 [============================>.] - ETA: 2s - loss: 1.3895 - accuracy: 0.6639 629/638 [============================>.] - ETA: 1s - loss: 1.3879 - accuracy: 0.6642 630/638 [============================>.] - ETA: 1s - loss: 1.3869 - accuracy: 0.6644 631/638 [============================>.] - ETA: 1s - loss: 1.3854 - accuracy: 0.6648 632/638 [============================>.] - ETA: 1s - loss: 1.3841 - accuracy: 0.6651 633/638 [============================>.] - ETA: 1s - loss: 1.3827 - accuracy: 0.6653 634/638 [============================>.] - ETA: 0s - loss: 1.3812 - accuracy: 0.6657 635/638 [=========2025-04-09 18:24:43.652619: W tensorflow/core/grappler/optimizers/data/auto_shard.cc:784] AUTO sharding policy will apply DATA sharding policy as it failed to apply FILE sharding policy because of the following reason: Found an unshardable source dataset: name: "TensorSliceDataset/_1" +op: "TensorSliceDataset" +input: "Placeholder/_0" +attr { + key: "Toutput_types" + value { + list { + type: DT_STRING + } + } +} +attr { + key: "_cardinality" + value { + i: 5102 + } +} +attr { + key: "is_files" + value { + b: false + } +} +attr { + key: "metadata" + value { + s: "\n\024TensorSliceDataset:7" + } +} +attr { + key: "output_shapes" + value { + list { + shape { + } + } + } +} +attr { + key: "replicate_on_split" + value { + b: false + } +} +experimental_type { + type_id: TFT_PRODUCT + args { + type_id: TFT_DATASET + args { + type_id: TFT_PRODUCT + args { + type_id: TFT_TENSOR + args { + type_id: TFT_STRING + } + } + } + } +} + +===================>.] - ETA: 0s - loss: 1.3797 - accuracy: 0.6658 636/638 [============================>.] - ETA: 0s - loss: 1.3783 - accuracy: 0.6662 637/638 [============================>.] - ETA: 0s - loss: 1.3770 - accuracy: 0.6665 638/638 [==============================] - ETA: 0s - loss: 1.3763 - accuracy: 0.6668 638/638 [==============================] - 175s 243ms/step - loss: 1.3763 - accuracy: 0.6668 - val_loss: 0.7370 - val_accuracy: 0.7975 +Epoch 2/20 + 1/638 [..............................] - ETA: 8:16 - loss: 0.2896 - accuracy: 0.9062 2/638 [..............................] - ETA: 2:46 - loss: 0.5624 - accuracy: 0.8594 3/638 [..............................] - ETA: 2:37 - loss: 0.4705 - accuracy: 0.8854 4/638 [..............................] - ETA: 2:38 - loss: 0.5094 - accuracy: 0.8750 5/638 [..............................] - ETA: 2:35 - loss: 0.4945 - accuracy: 0.8687 6/638 [..............................] - ETA: 2:30 - loss: 0.5165 - accuracy: 0.8542 7/638 [..............................] - ETA: 2:26 - 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ETA: 2s - loss: 0.1364 - accuracy: 0.9602 627/638 [============================>.] - ETA: 2s - loss: 0.1369 - accuracy: 0.9602 628/638 [============================>.] - ETA: 2s - loss: 0.1367 - accuracy: 0.9602 629/638 [============================>.] - ETA: 1s - loss: 0.1369 - accuracy: 0.9601 630/638 [============================>.] - ETA: 1s - loss: 0.1369 - accuracy: 0.9601 631/638 [============================>.] - ETA: 1s - loss: 0.1368 - accuracy: 0.9601 632/638 [============================>.] - ETA: 1s - loss: 0.1366 - accuracy: 0.9602 633/638 [============================>.] - ETA: 1s - loss: 0.1365 - accuracy: 0.9603 634/638 [============================>.] - ETA: 0s - loss: 0.1368 - accuracy: 0.9602 635/638 [============================>.] - ETA: 0s - loss: 0.1367 - accuracy: 0.9602 636/638 [============================>.] - ETA: 0s - loss: 0.1366 - accuracy: 0.9603 637/638 [============================>.] - ETA: 0s - loss: 0.1367 - accuracy: 0.9603 638/638 [==============================] - ETA: 0s - loss: 0.1366 - accuracy: 0.9603 638/638 [==============================] - 153s 239ms/step - loss: 0.1366 - accuracy: 0.9603 - val_loss: 0.4389 - val_accuracy: 0.8928 +WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 53). These functions will not be directly callable after loading. +Model saved to /home/users/d/divia/pokedex/models/ResNet50/pokedex_ResNet50.h5 +SavedModel exported to /home/users/d/divia/pokedex/models/ResNet50/saved_model