Wheelodex » Projects » onnx2kerastl

onnx2kerastl

View on PyPI — Reverse Dependencies (1)

0.0.163 onnx2kerastl-0.0.163-py3-none-any.whl

Wheel Details

Project: onnx2kerastl
Version: 0.0.163
Filename: onnx2kerastl-0.0.163-py3-none-any.whl
Download: [link]
Size: 54881
MD5: 9e7776c80c403733a000d9a7b3cecdc5
SHA256: ac0a6da91ee905d96ddc97a6880f1db71897dc4a3676f1716a790cabee2feeb4
Uploaded: 2025-01-03 13:47:02 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: onnx2kerastl
Version: 0.0.163
Author: dorhar
Author-Email: doron.harnoy[at]tensorleap.ai
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.9,<3.11
Requires-Dist: boto3 (<2.0.0,>=1.24.22)
Requires-Dist: fvcore (<0.2.0,>=0.1.5.post20221221)
Requires-Dist: keras-data-format-converter (==0.1.21)
Requires-Dist: numpy (==1.23.5)
Requires-Dist: onnx (==1.13.0)
Requires-Dist: onnxruntime (<1.20)
Requires-Dist: protobuf (<4.0.0,>=3.19.6)
Requires-Dist: tensorflow (==2.15); platform_machine == "x86_64"
Requires-Dist: tensorflow-addons (<0.20.0,>=0.19.0); platform_machine == "x86_64"
Requires-Dist: tensorflow-io-gcs-filesystem (==0.34.0)
Requires-Dist: tensorflow-macos (==2.15); platform_machine == "arm64"
[No description]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.9.1
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
onnx2kerastl/__init__.py sha256=nRjiHWuNcoR7VGdBab9Tt79LjflFxi0NXreynoHHpyw 66
onnx2kerastl/activation_layers.py sha256=aAiG5Yi-5V6UIAHwgxxfoln-WLMky_ChUJBbMRe7F4Q 11895
onnx2kerastl/caffe2_layers.py sha256=FvAdPnKpWipQJtAbRrcltkYswU6sjWsYf07_OAYtfJ8 1127
onnx2kerastl/constant_layers.py sha256=bSkDymKrn9vORCkEXEffY9iAYYA1kDgqo9uMdvsf5DY 2280
onnx2kerastl/convert_model.py sha256=r7VwhHnFKS4ecAWbr6lO4BpLflMLwqmryIRZAHG_w-Y 1561
onnx2kerastl/converter.py sha256=8W_HFgFAjgYoZWbb0bQbKNrYqp2wAQOrAkr0e0RwzOg 18006
onnx2kerastl/convolution_layers.py sha256=UdhFCQl354SlIh3LB_SbmLGTDDri69v7jX-vkrlPpAQ 16696
onnx2kerastl/customonnxlayer/__init__.py sha256=vTN3_bnWHS3vBj-VQoK3hsfvLqp1_s8ZrMQlHyULQvM 249
onnx2kerastl/customonnxlayer/onnxabs.py sha256=sWmUniohrHDlY-Qe3dIVv-ew7aGUJZvSP8Ph4bdWQso 240
onnx2kerastl/customonnxlayer/onnxeinsum.py sha256=8JxnI37sPugPVp0ndugg7qyfAEtRqKKyMW0pfFdqdxM 1475
onnx2kerastl/customonnxlayer/onnxerf.py sha256=OM6QvySv8dcllB15XLLBRCLl7MVzvQR8zRTjsgAheP0 240
onnx2kerastl/customonnxlayer/onnxhardsigmoid.py sha256=xzYcvO9BcW2oi-JwveimzPlV6eeda9LE-zbd8wN9ro4 610
onnx2kerastl/customonnxlayer/onnxlstm.py sha256=owxcTvR_FzhGxFX5LzQuPUpA5tJuWlI9RWhQlw4DPQk 1589
onnx2kerastl/customonnxlayer/onnxreducemean.py sha256=Zay9fMh94kvDaf6ujLD-izkxLiTbIW_6lbPviyzS_Ls 609
onnx2kerastl/customonnxlayer/onnxsqrt.py sha256=-exNGSoTCsxQX5ARx0oopWqp5W-192rSlelbA8xRY3g 242
onnx2kerastl/elementwise_layers.py sha256=nb7TgcBqwMkr12zYeKbz80RTTEKcOW293_IEhufn4Es 18308
onnx2kerastl/exceptions.py sha256=rRJMXk0v-TWOkt7cQMk1jzUnHCMEqUEAMv5vrvf1gdk 179
onnx2kerastl/fft_layers.py sha256=QTX2qj9R4iy6HhFuUlKCqg6HVx4qjmS2cUJzOzz_KNs 1901
onnx2kerastl/layers.py sha256=Tm0p2OlfMYP4LYq_o7HEbUJF_SoIOqkBckJB6z67Vmg 6562
onnx2kerastl/linear_layers.py sha256=8krE6zm3lh_xxNVLzDDLpyC3FyfKCrntj0JqCksm1nI 2987
onnx2kerastl/ltsm_layers.py sha256=-rKS_S1PMDVX6-6Y1Cklghxb3Scrw7bz47xHlVQA-PY 7695
onnx2kerastl/main.py sha256=nFwBum-tjN-9jQDLrSEfz5R7cZ_dMygLi5fym12237Y 368
onnx2kerastl/normalization_layers.py sha256=Q8lw0M3cxdeetXYnDst6KXwwxIn0FmkVS2dUnNxsVAo 7276
onnx2kerastl/operation_layers.py sha256=dNpCr_6yRVR8DdJ37s2NNP_dT_LSkdfWyXt_G8acavM 37267
onnx2kerastl/padding_layers.py sha256=n8v0ETT0nrcJ2yUfn7r-S81eJLur77gpX-sfqb_HMuc 5214
onnx2kerastl/pooling_layers.py sha256=PO3KbsZXpbaX6EwTyDXbvrqAUor3oefgh8PfgimDEAI 18395
onnx2kerastl/reshape_layers.py sha256=6T9h_F_5937SiQ3hsBxbvwjXM29L9cPbUvx9OohyDbg 36933
onnx2kerastl/sampling_layers.py sha256=JMWPiC-QKCZVbwkpA5UQTBeHRGyiHRg_5gFUFWdU4Y4 10374
onnx2kerastl/tfops_funcs.py sha256=djMV8m6nEOoj--DGENQ6aWAs72tjKBdXGhUS2D-vTaM 5371
onnx2kerastl/upsampling_layers.py sha256=snWmQn_cFRSXywMkO98bxIRMKmxaFdY8umoQ2o9q8Nc 1727
onnx2kerastl/utils.py sha256=2SSDj5VU1ddNnX0qVwJqkV-tgWYE8XQRRla8ZWnGcdk 6381
onnx2kerastl-0.0.163.dist-info/LICENSE sha256=MCysImndiaSTMhcUdmMbUUV5aodq7OFsNSLBNtTtAOY 1067
onnx2kerastl-0.0.163.dist-info/METADATA sha256=3S0d7WjgZU7CG0iKKRXp0ZkjmfayXyX0qqLBh2mdUZI 927
onnx2kerastl-0.0.163.dist-info/WHEEL sha256=Nq82e9rUAnEjt98J6MlVmMCZb-t9cYE2Ir1kpBmnWfs 88
onnx2kerastl-0.0.163.dist-info/RECORD — —