tensorneko

View on PyPIReverse Dependencies (0)

0.3.14 tensorneko-0.3.14-py3-none-any.whl

Wheel Details

Project: tensorneko
Version: 0.3.14
Filename: tensorneko-0.3.14-py3-none-any.whl
Download: [link]
Size: 79946
MD5: 9dd78fa87dc9b0396348259a4e7f3fe2
SHA256: 677dd92dd4f040635e1387e17c0c8ba6d71898200bb01710ab79e870e241e4f4
Uploaded: 2024-04-23 11:05:51 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: tensorneko
Version: 0.3.14
Summary: Tensor Neural Engine Kompanion. An util library based on PyTorch and PyTorch Lightning.
Author: ControlNet
Author-Email: smczx[at]hotmail.com
Home-Page: https://github.com/ControlNet/tensorneko
Project-Url: Bug Tracker, https://github.com/ControlNet/tensorneko/issues
Project-Url: Source Code, https://github.com/ControlNet/tensorneko
Keywords: deep learning,pytorch,AI
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Utilities
Requires-Python: >=3.8
Requires-Dist: torch (>=1.9.0)
Requires-Dist: torchaudio (>=0.9.0)
Requires-Dist: torchvision (>=0.10.0)
Requires-Dist: torchmetrics (>=0.7.3)
Requires-Dist: tensorboard (>=2.0.0)
Requires-Dist: lightning (<2.2,>=2.0)
Requires-Dist: pillow (>=8.1)
Requires-Dist: av (>=8.0.3)
Requires-Dist: numpy (>=1.20.1)
Requires-Dist: einops (>=0.3.0)
Requires-Dist: tensorneko-util (==0.3.14)
Requires-Dist: pysoundfile (>=0.9.0); platform_system == "Windows"
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 17589 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
tensorneko/__init__.py sha256=lLVC4StQ5q9OFJTceNrJbj-CIFHFMRvFQyGYJTjuRM4 812
tensorneko/neko_model.py sha256=QTbdOAg9ki0ix6mDL_Qu8Wmd5WJOoUFF3M1SXEp3KGc 10551
tensorneko/neko_module.py sha256=qELXvguSjWo_NvcRQibiFl0Qauzd9JWLSnT4dbGNS3Y 1473
tensorneko/neko_trainer.py sha256=JC8qoKSZ5ngz3grf3S0SjvIFVktDIP_GExth5aFfbGA 10074
tensorneko/version.txt sha256=EE5wqaalqNgsRrFbdyrk4CNfvN0GLaydNnLLB0janbo 6
tensorneko/arch/__init__.py sha256=w4lTUeyBIZelrnSjlBFWUF0erzOmBFl9FqeWQuSOyKs 248
tensorneko/arch/auto_encoder.py sha256=j6PWWyaNYaYNtw_zZ9ikzhCASqe9viXR3JGBIXSK92Y 2137
tensorneko/arch/binary_classifier.py sha256=1MkEbReXKLdDksRG5Rsife40grJk08EVDcNKp54Xvb4 2316
tensorneko/arch/gan.py sha256=bHh8s9UxHNSj9N6C6SllAaVJ61JhbY4ltwmQ-a1543w 7215
tensorneko/arch/vqvae.py sha256=_HJoDVBonB4PHymaV9JaAecS-NJZ1jfrKAhoqcLzf0g 3750
tensorneko/arch/wgan.py sha256=Oj1vZPXzhgTPHGGXGmbStgylskjjzulr6tYxj7E0zpQ 4722
tensorneko/backend/__init__.py sha256=ppJhb1MC_WK6XLK2fX8x0z7Cn-8CkF97x67XBLoRCys 238
tensorneko/callback/__init__.py sha256=H1jOTsSYm9c4sxtcV9_uzumXZ95b4gbiftKqimNER7s 556
tensorneko/callback/display_metrics_callback.py sha256=qzhHcb68B7o9byfD1ZqEitSVkrwsSGOF-u59_Ip9dEg 318
tensorneko/callback/earlystop_lr.py sha256=d0G3NHYi-tNNCdaB7Rt7vVceI8CXOGT4zBTJYNciyug 1195
tensorneko/callback/epoch_num_logger.py sha256=efp8vANiWT3eRz-TqhbML5fc7d1h2jcmHSV6OJyFwFg 462
tensorneko/callback/epoch_time_logger.py sha256=ktZSEinDBEstLbCGV5pjlQrkmSlVrZ0ymAECoxGX4rs 657
tensorneko/callback/gpu_stats_logger.py sha256=qbkE47RKwRTCoI5YTu_9DFMMHDqmZl4n9slMa7cLQZo 3532
tensorneko/callback/lr_logger.py sha256=28xmAZ_UOFg0wqg1VjJoifwjzvBsOs-g2nd4bog9ozw 619
tensorneko/callback/nil_callback.py sha256=-vKhOG3Ysv_ZToOdyYEkcZ8h0so9rBRY10f1OIoHeZs 131
tensorneko/callback/system_stats_logger.py sha256=dS4AOhEADU5cop6vSW5HnVew58jO9SdzKh4lkyssgcE 1782
tensorneko/dataset/__init__.py sha256=6980ci9Ce57HSyhzrKMJfDz31PCQxifVz1aSf63JEsA 247
tensorneko/dataset/list_dataset.py sha256=UhgTHapi7dQF4nEgnZH73oCLzluNAJU--N7Fhaa8P8s 1237
tensorneko/dataset/nested_dataset.py sha256=lMGW7ODfvBn-aRd7c7HftK6BQUZGCUVkm4XJh4iiPBg 2073
tensorneko/dataset/round_robin_dataset.py sha256=VcSApfqh218OGhJ6_F783s3pexrv17kM3aEaMHh9YJI 3073
tensorneko/dataset/sampler/__init__.py sha256=inj-7M5IjafU5yzSpU2BY9FWAiRp0u7RqkgAcIZj2Qk 102
tensorneko/dataset/sampler/sequential_iter_sampler.py sha256=DxBwSoWjYlq6kA6g-54gzzjPEAvOjAYtMQuvRbIFviY 1429
tensorneko/debug/__init__.py sha256=ZMfU3qquhMhl6EgPzM7Yuvvv0PWy3cR39UjPrrSmQcs 163
tensorneko/evaluation/__init__.py sha256=jW8dh1JRMpx3npjTp7wJLzz-IxFZTBh7F-Ztfoep9xs 296
tensorneko/evaluation/enum.py sha256=s3P8XAobku-as4in5vh6BanvVW5Ccwnff0t124lVFFg 137
tensorneko/evaluation/fid.py sha256=fNuE1CEp2rPXbaZfI0E1CspluInzFlUdKc8XZEexUME 5568
tensorneko/evaluation/iou.py sha256=phEmOWQ3cnWW377WeSHCoB8mGkHLHMHCl8_LL0IX3JA 2914
tensorneko/evaluation/psnr.py sha256=DeKxvY_xxawWMXHY0z3Nvbsi4dR57OUV4hjtUoCINXc 3757
tensorneko/evaluation/secs.py sha256=D710GgcSxQgbGyPcWlC5ffF5n1GselLrUr5aA5Vq7oE 1622
tensorneko/evaluation/ssim.py sha256=6vPS4VQqoKxHOG49lChH51KxwNo07B4XHdhLub5DEPU 3758
tensorneko/io/__init__.py sha256=QEyA0mOC-BlKKskYYbDYttYWWRjCeh73lX-yKAUGNik 213
tensorneko/io/reader.py sha256=MSEfmzbRTk69qawTPrYruaKvQ8TXSyu5ZmFY7xVn-aU 773
tensorneko/io/writer.py sha256=MbO878ob24WSGKqjxyK-yRqp7xAiJBEtMxOGkOg_vOE 776
tensorneko/io/mesh/__init__.py sha256=cdR5QWNUgPaoU_fFcJO9sx7PeJy7pTlEvusjaivP1ok 72
tensorneko/io/mesh/mesh_reader.py sha256=ErUv9nBMARu-eR-uHlEhrb4bH0yl0cHiKoF9GSJ569A 184
tensorneko/io/mesh/mesh_writer.py sha256=d_lBhN2JEhaY79mwZALr-ylp0ZtyJmItCTUn_A3F4q0 184
tensorneko/io/weight/__init__.py sha256=zlUTKTYL7uhOxgyR3VpoR408pYjG0XHOGihGDL6mHyc 79
tensorneko/io/weight/weight_reader.py sha256=iDtphQsPQXzfKU_xaxvHJUEfealXHIcyoD2adXLpgg0 3079
tensorneko/io/weight/weight_writer.py sha256=06SCNPw3vDQ-6MLSpb4oR1AuOQ1slSpOextLoAl4PTA 1609
tensorneko/layer/__init__.py sha256=HHCBzwR-8UEVsrUKz8j_dhQSVGRASg0flLc_pyG1JN0 1120
tensorneko/layer/aggregation.py sha256=ykH6u-NLJx4Yesu_BLWa6T-vWIYFzJXJV1Txrbz3mPE 1177
tensorneko/layer/attention.py sha256=sNC6gZgZaeHqUAfzrPh0Vefp7T6nc1gFvrreuOL7wUg 6360
tensorneko/layer/concatenate.py sha256=edQqDvC-8qBOqhqCu96fh4l75uS9GoQmJFZmG8HR_gg 1574
tensorneko/layer/conv.py sha256=RwwS3GIQnx8uZL33ZLH7Ai2XRmC2JnLfZp2fqOy7R1A 5853
tensorneko/layer/linear.py sha256=NKIzSmSodk0wftu-f-6aSPazJ3X-eduRkZdLMMBjN_8 3283
tensorneko/layer/log.py sha256=UN7xgfzC7tF4P856taRtVgVHjc5CTTZqXYODvw6DhKQ 716
tensorneko/layer/masked_conv2d.py sha256=4DWjQ_Wc8lncYfk2Iur_M5V0mByvaQ2JZlOGRm29XLE 4796
tensorneko/layer/noise.py sha256=bbZyrIZUk41cKBuCj3BWiQ_XTIRY9YXyDrlBavQh2Lo 1269
tensorneko/layer/patching.py sha256=FYwqVXbOtiLgT5Cy63zISK9bTzMIKG4U8hO-n14liiM 6585
tensorneko/layer/positional_embedding.py sha256=2_r1sZQPYNEdBVLDByNV85gZDofuV8IZSIjSNoKJKhw 4283
tensorneko/layer/reshape.py sha256=7GmpjQkir2eW2CkWuiUK648C4kKHUV81EqNiCzk2QSY 813
tensorneko/layer/stack.py sha256=6Amn_mKRKJF4s0Xk-JWdf3v0-foJluk16WmEitchSqQ 1481
tensorneko/layer/vector_quantizer.py sha256=f85Lxh9XL0qIaxavPbV4Igy57Eufvl3VsZTWRFO6r3M 2178
tensorneko/module/__init__.py sha256=97SnvpDL7Ls2XrRbQR__ziLS80_5uTkIYK4SzFstdwY 403
tensorneko/module/dense.py sha256=dG6ASfTERxB24UxvV4HQHvV4DEMebShSAh8pBMrH23U 3060
tensorneko/module/gated_conv.py sha256=kwD3mfeQuBiiSLYwPxMwAgezOVXxdxTnMoEbGxeYOlo 1794
tensorneko/module/inception.py sha256=2p8AjgTIk5wLGC-JnrmXIehh6yNCu2tYc2axjzUTGM4 2462
tensorneko/module/mlp.py sha256=AFN6xmvlrNWOflLqVl-zVkoOJRZpYxYB4bnI10JG5CU 3361
tensorneko/module/residual.py sha256=S59TqiiD_310HQ3a6s3r49XY_7Dc4RGxONQtSvzEfN0 2958
tensorneko/module/transformer.py sha256=h4NvH3zGa0rZt0bv6e8VM31SimbQKRcocSR42zJYVoY 7602
tensorneko/notebook/__init__.py sha256=Pgz4aTJg5_3zTzBIaML4LHAMOFgrBOHw3o00ZuvNuQU 171
tensorneko/optim/__init__.py sha256=89XjYQICij8SkrW5iryfZgmbxcTDxA3hhVZTgR4588o 33
tensorneko/optim/lr_scheduler/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tensorneko/preprocess/__init__.py sha256=0Z0eA3_I2wphyyZlzZYRrx2muWTF0QMFq2Y-jh8oVKU 808
tensorneko/preprocess/crop.py sha256=Y9eWyYdzasQK3US2uBP_sUO9bPVedik0pnrrl006zZ4 2732
tensorneko/preprocess/enum.py sha256=Wp5qFaUjea5XU4o3N0WxUd-qfzI-m5vr4ZWSqWjELb4 874
tensorneko/preprocess/pad.py sha256=b4IbbhGNRotZ7weZcKA7hfDqSixPo5KjM6khnqzaeUA 3238
tensorneko/preprocess/resize.py sha256=hitMlzVnN6n_8nEJwxy4C4ErZrTwpM86QGnYewsrmf8 3469
tensorneko/preprocess/face_detector/__init__.py sha256=_ktIfUZqGTX0hk7RBgKf-zHwG2n9KRH4RS7rjuOI8Bo 262
tensorneko/util/__init__.py sha256=ztsBVn3NLJanwcYyNYyLtUnws6xLcgP3oHMpkjUQh1o 2172
tensorneko/util/configuration.py sha256=xXeAjDh1FCNTmSPwDdkL-uH-ULfzFF6Fg0LT7gsZ6nQ 2510
tensorneko/util/dispatched_misc.py sha256=_0Go7XezdYB7bpMnCs1MDD_6mPNoWP5qt8DoKuPxynI 997
tensorneko/util/misc.py sha256=LEvACtGDOX43iK86A8-Cek0S9rbXFR0AtTP1edE3XDI 4701
tensorneko/util/reproducibility.py sha256=sw1vVi7VOnmzQYUocI5x9yKeZoHHiA4A5ja136XolrI 2102
tensorneko/util/string_getter.py sha256=Cq2mDYr3q758xJ9OBTwLDf-b6EMSYwlnNB0-kfsElfs 2491
tensorneko/util/type.py sha256=-dWknUu7RM4pFm7f3spgSlCIXpHA11RS36ol8uUFJgU 728
tensorneko/visualization/__init__.py sha256=PuNMhLz3oosY39AmKUr0biIgjfc_G_rQzp960me08Fg 626
tensorneko/visualization/log_graph.py sha256=NvOwWVc_petXWYdgaHosPFLa43sHBeacbYcfNtdRQg4 1511
tensorneko/visualization/matplotlib.py sha256=xs9Ssc44ojZX65QU8-fftA7Ug_pBuZ3TBtM8vETNq9w 1568
tensorneko/visualization/image_browser/__init__.py sha256=AtykhAE3bXQS6SOWbeYFeeUE9ts9XOFMvrL31z0LoMg 63
tensorneko/visualization/watcher/__init__.py sha256=Nq752qIYvfRUZ8VctKQRSqhxh5KmFbWcqPfZlijVx6s 379
tensorneko-0.3.14.dist-info/LICENSE sha256=Vd75kwgJpVuMnCRBWasQzceMlXt4YQL13ikBLy8G5h0 1067
tensorneko-0.3.14.dist-info/METADATA sha256=O9XRez7LsZUJM-2qxxRroMJ99l4N3KFpC4FjgQ5KaGA 19061
tensorneko-0.3.14.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
tensorneko-0.3.14.dist-info/top_level.txt sha256=sZHwlP0iyk7_zHuhRHzSBkdY9yEgyC48f6UVuZ6CvqE 11
tensorneko-0.3.14.dist-info/RECORD

top_level.txt

tensorneko