Wheelodex » Projects » pytorch-quantization

pytorch-quantization

View on PyPI — Reverse Dependencies (0)

2.1.3 pytorch_quantization-2.1.3-py3-none-any.whl

Wheel Details

Project: pytorch-quantization
Version: 2.1.3
Filename: pytorch_quantization-2.1.3-py3-none-any.whl
Download: [link]
Size: 54099
MD5: 36256dd576201109c1d000198ac31feb
SHA256: b9896a399f662482eb02202da753a38047f5b58b52b11aaf5c462acc20cdba59
Uploaded: 2023-09-12 16:29:41 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: pytorch-quantization
Version: 2.1.3
Summary: NVIDIA Pytorch quantization toolkit
Author: NVIDIA
Author-Email: nvidia[at]nvidia.com
Home-Page: https://github.com/nvidia/tensorrt/tools/pytorch-quantization
License: Apache 2.0
Requires-Dist: numpy
Requires-Dist: absl-py (>=0.7.0)
Requires-Dist: scipy
Requires-Dist: sphinx-glpi-theme
Requires-Dist: prettytable
Requires-Dist: pyyaml
License-File: LICENSE
[Description omitted; length: 1346 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
pytorch_quantization/__init__.py sha256=UXp0tRfjNdmxSTTgb__1DJsBGXz32b9yYs92fN2gJPE 775
pytorch_quantization/quant_modules.py sha256=4RZWaIe6JVKIBX-JukoSzJ0AEVfKeMvWjLI7mRy7xYQ 7816
pytorch_quantization/tensor_quant.py sha256=X-UUNSjqBTR_gSbDR0TgjU8sd1gzDQRrXAEofPcFUbw 17788
pytorch_quantization/version.py sha256=d9E4Qb0f14ehiuWGQIigZ55jJwW5CDKzejqNricr8nQ 709
pytorch_quantization/calib/__init__.py sha256=i2KNslfRkS4Wbh0OTlugqL64APV8DNlwfYiG5XgDmm0 889
pytorch_quantization/calib/calibrator.py sha256=HuKaYizSFpUp06ePzw2Ne-3mQQeI12QZGvzM8pcar28 1844
pytorch_quantization/calib/histogram.py sha256=U4kamrFuYSLDjJB8yXOVRjT9CKKkuBoDRkJe_xcJRCM 15933
pytorch_quantization/calib/max.py sha256=ahTLM04iF-my8MjF3D1T5o9vquN3uVkj28b7nEMocSg 3741
pytorch_quantization/nn/__init__.py sha256=MpAL168STtFndmYZPvc8wa1HW4iDoqG1yEiWueuQ7w4 1101
pytorch_quantization/nn/functional.py sha256=cKNg6yPNDjs-cd9O0L0VSxFoDFZJIDli3PoQfVsjejo 2772
pytorch_quantization/nn/_functions/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pytorch_quantization/nn/_functions/quant_rnn.py sha256=M8oVNv5633519y3npSPlmQmKZEByuV301kC1GMfmAlA 9921
pytorch_quantization/nn/modules/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pytorch_quantization/nn/modules/_utils.py sha256=MLG7gkcZySf6q2wMguvTes9ldm10t4rTX9_26OwUNto 7005
pytorch_quantization/nn/modules/clip.py sha256=OOgLrYnnDoT-WV27vA1IUsuXpyBQK8fJrAX3e_2_wJw 2348
pytorch_quantization/nn/modules/quant_conv.py sha256=w363VC7lyZDa-S30OWtPpqso2yzpY-MPwZuUxSPD7yA 17347
pytorch_quantization/nn/modules/quant_instancenorm.py sha256=u84O5UKNv0hzTvUit3EsQGqF7MyDfoIq4keawcDmpO8 3418
pytorch_quantization/nn/modules/quant_linear.py sha256=P4r5J0zdmfOUDsd2Mdk0pNYEIVJfyVWuVMr4uvtEITQ 2935
pytorch_quantization/nn/modules/quant_pooling.py sha256=wD316k9W94J1pvQrTzIvtNuOY7mjQp8dbqEHqOy0rF4 7597
pytorch_quantization/nn/modules/quant_rnn.py sha256=0iUsm71Rb02RkJ1VAN46iPSdnB6_eNJjtuB9i1LcCvo 18748
pytorch_quantization/nn/modules/tensor_quantizer.py sha256=WcmmMA5yA-XosNDmHPy3ic-RTTl-J5mHwY6GHVHfoAo 16058
pytorch_quantization/optim/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pytorch_quantization/optim/helper.py sha256=06vC3K1TZ_mOcLVl7exEsXHQDf9TEinN6TAKqyjHATk 5348
pytorch_quantization/utils/__init__.py sha256=6VifY76S5p30saGKVOOjPEfelLjD-UnqBamU3R5NDH0 758
pytorch_quantization/utils/quant_logging.py sha256=jzaUaearnTKb11h2xPogzLk2w8IhswrqAlMqZCiD2zg 960
pytorch_quantization/utils/reduce_amax.py sha256=W8rryw2204WcgnH58YmBAOC7TC92Ko03ytorn6FB2v4 2528
pytorch_quantization-2.1.3.dist-info/LICENSE sha256=mJZDiyaXWj5odjCyyrthfN4Oye-eWE3jVygAabJYX8I 15058
pytorch_quantization-2.1.3.dist-info/METADATA sha256=7dcXYRieLOh2MZgfsZKu5mCyz7lxFCNm78fA22G4nYc 1793
pytorch_quantization-2.1.3.dist-info/WHEEL sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18 92
pytorch_quantization-2.1.3.dist-info/top_level.txt sha256=03S4LZTumyO0AVp7ebX1k3zyYgX1rJn7zSqYqFDZmn4 21
pytorch_quantization-2.1.3.dist-info/RECORD — —

top_level.txt

pytorch_quantization