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Abyss: The Wraiths Of Eden Collectors Edition (2013) PC [FINAL] With Lucky Patcher





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Abyss: The Wraiths of Eden Collectors Edition (2013) PC [FINAL] with lucky patcher


02.01.2020.12.31. GMT. A: I was finally able to fix this error by running the following command: rm -r ~/.local/share/Trash/info and then deleting the folder: ~/.local/share/Trash This solved the problem. # coding=utf-8 # Copyright 2020 The Google Research Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """A TF-MAM is a framework that is composed of a TensorFlow 2 framework with a special loss function.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np import tensorflow as tf def MAM_loss(batch_size, tf_optimizer, regularizer): """The MAM loss Args: batch_size: Batch size tf_optimizer: TensorFlow 2 optimizer regularizer: TensorFlow 2 regularizer Returns: loss: Loss for the MAM loss """ regularizer_params = regularizer.regularizer_parameters() if regularizer_params is None: regularizer_params = {} regularizer_params['scale'] = 0.1 regularizer_params['gamma'] = 0.1 regularizer_params['decay'] = 0.0 with tf.GradientTape() as tape: logits = tf.nn.sigmoid(regularizer_params['scaled_logits']) scores = tf.nn.s









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Abyss: The Wraiths Of Eden Collectors Edition (2013) PC [FINAL] With Lucky Patcher

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