本站已收录 番号和无损神作磁力链接/BT种子 

Rife-App 2.8

种子简介

种子名称: Rife-App 2.8
文件类型: 视频
文件数目: 63个文件
文件大小: 1.14 MB
收录时间: 2022-3-2 20:26
已经下载: 3
资源热度: 122
最近下载: 2024-6-29 02:57

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种子包含的文件

Rife-App 2.8.torrent
  • imageio/resources/images/cockatoo.mp4711.67KB
  • imageio/resources/images/realshort.mp494.55KB
  • matplotlib/mpl-data/sample_data/eeg.dat25KB
  • matplotlib/mpl-data/sample_data/membrane.dat46.88KB
  • tcl/tzdata/America/Argentina/ComodRivadavia237B
  • tcl/tzdata/America/St_Kitts203B
  • tcl/tzdata/Antarctica/Davis312B
  • tcl/tzdata/Asia/Irkutsk1.97KB
  • tcl/tzdata/Asia/Novokuznetsk1.95KB
  • tcl/tzdata/Asia/Yakutsk1.94KB
  • tcl/tzdata/Atlantic/Bermuda7.5KB
  • tcl/tzdata/Atlantic/Reykjavik1.92KB
  • tcl/tzdata/Europe/Budapest7.79KB
  • tcl/tzdata/Pacific/Ponape183B
  • tk/license.terms2.21KB
  • torch/distributed/constants.py429B
  • torch/distributed/elastic/multiprocessing/redirects.py2.74KB
  • torch/distributed/pipeline/sync/batchnorm.py5.6KB
  • torch/distributed/rpc/constants.py937B
  • torch/distributions/constraints.py17.4KB
  • torch/distributions/uniform.py3.13KB
  • torch/include/ATen/detail/FunctionTraits.h2.35KB
  • torch/include/ATen/native/batch_norm.h375B
  • torch/include/ATen/native/group_norm.h936B
  • torch/include/ATen/native/layer_norm.h2.93KB
  • torch/include/ATen/VmapTransforms.h7.65KB
  • torch/include/c10/util/MathConstants.h890B
  • torch/include/c10/util/TypeTraits.h5.39KB
  • torch/include/caffe2/core/blob_stats.h1.15KB
  • torch/include/caffe2/core/stats.h10.47KB
  • torch/include/caffe2/core/transform.h5.78KB
  • torch/include/caffe2/operators/pack_segments.h2.76KB
  • torch/include/caffe2/opt/fakefp16_transform.h609B
  • torch/include/caffe2/opt/glow_net_transform.h1.56KB
  • torch/include/caffe2/predictor/transforms.h252B
  • torch/include/caffe2/transforms/conv_to_nnpack_transform.h703B
  • torch/include/caffe2/transforms/pattern_net_transform.h4.42KB
  • torch/include/caffe2/transforms/single_op_transform.h1.03KB
  • torch/include/torch/csrc/api/include/torch/data/datasets.h298B
  • torch/include/torch/csrc/api/include/torch/data/transforms.h229B
  • torch/include/torch/csrc/api/include/torch/nn/functional/batchnorm.h2.06KB
  • torch/include/torch/csrc/api/include/torch/nn/functional/instancenorm.h1.49KB
  • torch/include/torch/csrc/api/include/torch/nn/modules/batchnorm.h8.3KB
  • torch/include/torch/csrc/api/include/torch/nn/modules/instancenorm.h4.86KB
  • torch/include/torch/csrc/api/include/torch/nn/options/batchnorm.h2.82KB
  • torch/include/torch/csrc/api/include/torch/nn/options/instancenorm.h2.35KB
  • torch/include/torch/csrc/autograd/utils/wrap_outputs.h7.92KB
  • torch/include/torch/csrc/jit/frontend/exit_transforms.h244B
  • torch/include/torch/csrc/jit/frontend/parser_constants.h240B
  • torch/include/torch/csrc/jit/ir/constants.h2.06KB
  • torch/include/torch/csrc/jit/serialization/import_export_constants.h691B
  • torch/include/torch/csrc/utils/invalid_arguments.h317B
  • torch/include/torch/csrc/utils/tensor_layouts.h114B
  • torch/include/torch/csrc/utils/tensor_memoryformats.h120B
  • torch/nn/modules/batchnorm.py36.32KB
  • torch/nn/modules/instancenorm.py13.41KB
  • torch/nn/quantized/modules/batchnorm.py2.69KB
  • torch/nn/utils/spectral_norm.py14.29KB
  • torch/nn/utils/weight_norm.py4.6KB
  • torch/testing/_asserts.py39.46KB
  • torch/testing/_internal/autocast_test_lists.py15.28KB
  • torch/utils/bundled_inputs.py19.91KB
  • torch/utils/hipify/constants.py1.21KB