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RELEASE.md
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
tensorflow/cc/saved_model/testdata/chunked_saved_model/chunked_model/saved_model.pbtxt
63\371\257!\353?:\346\250\252\025\'\344?4\3439\177\243*\341?\3247P\2531\004\324?\230\247B\035\250\362\342?P\0223[dG\351?\021\340\300\202L\313\356?d\241O\332l\232\322?R\020)C\351\327\341?\030\266ci\230g\274?\000zL\316bp\305?\377fO \033\361\347?\366\227E\301\tp\342?DoO\222\360L\346?\034\002I\203\320\007\300?\270,\377&}q\274?\346\266\247\251%D\353?\000\300\nj\375i\022?R\214\277\267\246\353\321?\356\257rD\250t\340?\235\220\270c\216_\343?\000.\273\357\337\340\355?\224\010\215r\301c\337?cq\316\217\221...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 08 21:43:11 UTC 2023 - 531.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
output = input / (bias + alpha * sqr_sum) ** beta For details, see [Krizhevsky et al., ImageNet classification with deep convolutional neural networks (NIPS 2012)](http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks). }]; let arguments = (ins Arg<TensorOf<[TF_Bfloat16, TF_Float16, TF_Float32]>, [{4-D.}]>:$input,
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