repo_name stringlengths 9 109 | hexsha stringlengths 40 40 | code stringlengths 547 141k | apis list | file_path stringlengths 6 143 | api_extract stringlengths 142 58.4k |
|---|---|---|---|---|---|
ddddwee1/SULT | 0ff31b602d20dd8bc5cf4a6f4f5bc193d636e784 | import tensorflow as tf
import model3 as M
import datareader
import numpy as np
import tqdm
import network
def grad_loss(x, model):
x2d, x3d = x
with tf.GradientTape() as tape:
pred, K, reprojected, crit_fake = model(x2d)
crit_real = model.crit(x3d)
crit_dis = tf.reduce_mean(tf.square(crit_real - tf.ones... | [
"tensorflow.matmul",
"tensorflow.ones_like",
"tensorflow.eye",
"tensorflow.zeros_like",
"tensorflow.GradientTape",
"tensorflow.square",
"tensorflow.optimizers.Adam",
"tensorflow.trace"
] | example/RepNet/train.py | [(30, 'datareader.DataReader', 'datareader.DataReader', (['(16)'], {}), False, 'import datareader\n'), (31, 'network.RepNet', 'network.RepNet', ([], {}), False, 'import network\n'), (32, 'tensorflow.optimizers.Adam', 'tf.optimizers.Adam', (['(0.0001)', '(0.5)'], {}), True, 'import tensorflow as tf\n'), (33, 'model3.Sav... |
ishine/neurst | 2ba322393fcfed4261b33f4a657e12bbe321baaa | # Copyright 2020 ByteDance Inc.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | [
"tensorflow.convert_to_tensor",
"tensorflow.TensorShape",
"tensorflow.constant",
"tensorflow.concat",
"tensorflow.zeros",
"tensorflow.shape",
"tensorflow.expand_dims",
"tensorflow.nest.flatten",
"tensorflow.size"
] | neurst/tasks/multilingual_translation.py | [(44, 'neurst.data.data_pipelines.multilingual_text_data_pipeline.MultilingualTextDataPipeline', 'MultilingualTextDataPipeline', ([], {'vocab_path': "args['vocab_path']", 'spm_model': "args['spm_model']", 'languages': "args['languages']"}), False, 'from neurst.data.data_pipelines.multilingual_text_data_pipeline import ... |
totucuong/vae-seq | 0a1bace02c6bac6ab991ab8203a203d3061615ec | # Copyright 2018 Google, Inc.,
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | [
"tensorflow.contrib.lookup.index_to_string_table_from_tensor",
"tensorflow.to_int64",
"tensorflow.contrib.lookup.index_table_from_tensor",
"tensorflow.gfile.Open",
"numpy.asarray",
"tensorflow.data.Dataset.from_tensor_slices",
"tensorflow.compat.as_bytes",
"tensorflow.data.TextLineDataset",
"tensorf... | vaeseq/examples/text/dataset.py | [(24, 'tensorflow.compat.as_text', 'tf.compat.as_text', (['string'], {}), True, 'import tensorflow as tf\n'), (44, 'tensorflow.py_func', 'tf.py_func', (['_unique_chars', '[filename]', '[tf.string]'], {}), True, 'import tensorflow as tf\n'), (45, 'tensorflow.contrib.lookup.index_table_from_tensor', 'tf.contrib.lookup.in... |
alexus37/MasterThesisCode | a7eada603686de75968acc8586fd307a91b0491b | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import numpy as np
from skimage.util import view_as_windows
import warnings
import logging
import tensorflow as tf
from tqdm import tqdm
from tensorflow.python.ops import nn_grad, math_grad
from de... | [
"tensorflow.compat.v1.get_default_graph",
"numpy.linspace",
"numpy.reshape",
"numpy.arange",
"numpy.isnan",
"tensorflow.gradients",
"tensorflow.ones_like",
"numpy.ones",
"tensorflow.zeros_like",
"numpy.delete",
"numpy.random.permutation",
"numpy.zeros_like",
"numpy.prod",
"numpy.zeros",
... | deepexplain/tf/v2_x/methods.py | [(30, 'tensorflow.gradients', 'tf.gradients', ([], {'ys': 'self.T', 'xs': 'self.X'}), True, 'import tensorflow as tf\n'), (35, 'tensorflow.zeros_like', 'tf.zeros_like', (['input'], {}), True, 'import tensorflow as tf\n'), (152, 'sys.stdout.flush', 'sys.stdout.flush', ([], {}), False, 'import sys\n'), (155, 'tensorflow.... |
jheo4/incubator-tvm | c4c61cb766608fb2f0fd8c9facc480a43afed3f5 | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | [
"tensorflow.executing_eagerly",
"tensorflow.config.experimental.set_memory_growth",
"tensorflow.ConfigProto",
"tensorflow.config.list_physical_devices",
"numpy.random.rand",
"tensorflow.Session",
"numpy.random.uniform"
] | tests/python/frontend/keras/test_forward.py | [(27, 'tensorflow.executing_eagerly', 'tf.executing_eagerly', ([], {}), True, 'import tensorflow as tf\n'), (28, 'tensorflow.config.list_physical_devices', 'tf.config.list_physical_devices', (['"""GPU"""'], {}), True, 'import tensorflow as tf\n'), (33, 'tensorflow.ConfigProto', 'tf.ConfigProto', ([], {}), True, 'import... |
hhy37/tensor2tensor | b4094d065fa0ae8842cd667fb0e5a2c652407c9c | # coding=utf-8
# Copyright 2018 The Tensor2Tensor 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | [
"tensorflow.contrib.eager.run_test_in_graph_and_eager_modes",
"tensorflow.test.main",
"tensorflow.global_variables_initializer",
"tensorflow.uniform_unit_scaling_initializer",
"tensorflow.train.create_global_step",
"tensorflow.random_uniform"
] | tensor2tensor/layers/latent_layers_test.py | [(34, 'tensor2tensor.models.transformer.transformer_small', 'transformer.transformer_small', ([], {}), False, 'from tensor2tensor.models import transformer\n'), (92, 'tensorflow.contrib.eager.run_test_in_graph_and_eager_modes', 'tf.contrib.eager.run_test_in_graph_and_eager_modes', ([], {}), True, 'import tensorflow as ... |
wladimir-crypto/TensowFlow-Food | c5e115f96d3fca04fe256e9b2f3075f77e083a75 | # Copyright 2020 Google Research. All Rights Reserved.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | [
"tensorflow.keras.losses.SparseCategoricalCrossentropy",
"tensorflow.cast",
"tensorflow.random.uniform",
"tensorflow.ones",
"tensorflow.image.flip_left_right",
"tensorflow.image.resize",
"tensorflow.argmax"
] | tensorflow_examples/lite/model_maker/third_party/efficientdet/keras/segmentation.py | [(31, 'tensorflow_datasets.load', 'tfds.load', (['"""oxford_iiit_pet:3.*.*"""'], {'with_info': '(True)'}), True, 'import tensorflow_datasets as tfds\n'), (26, 'tensorflow.argmax', 'tf.argmax', (['pred_mask'], {'axis': '(-1)'}), True, 'import tensorflow as tf\n'), (42, 'tensorflow.image.resize', 'tf.image.resize', (["da... |
varunjha089/tensorflow_cookbook | c1fa5051c860ecb6de875db975465ced06f43ba6 | # Working with Bag of Words
#---------------------------------------
#
# In this example, we will download and preprocess the ham/spam
# text data. We will then use a one-hot-encoding to make a
# bag of words set of features to use in logistic regression.
#
# We will use these one-hot-vectors for logistic regression... | [
"tensorflow.reduce_sum",
"tensorflow.nn.sigmoid_cross_entropy_with_logits",
"numpy.round",
"numpy.mean",
"tensorflow.Session",
"tensorflow.python.framework.ops.reset_default_graph",
"tensorflow.matmul",
"matplotlib.pyplot.title",
"tensorflow.placeholder",
"tensorflow.global_variables_initializer",... | 07_Natural_Language_Processing/02_Working_with_Bag_of_Words/02_bag_of_words.py | [(22, 'tensorflow.python.framework.ops.reset_default_graph', 'ops.reset_default_graph', ([], {}), False, 'from tensorflow.python.framework import ops\n'), (25, 'tensorflow.Session', 'tf.Session', ([], {}), True, 'import tensorflow as tf\n'), (28, 'os.path.join', 'os.path.join', (['"""temp"""', '"""temp_spam_data.csv"""... |
51616/split | 58b6efa8ab2c24e85c0a14922ee6a2a83aaa7e19 | import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
width = height = 32
channel = 3
patch_size_x = 8 ;patch_size_y = 8
class Augmentator(object):
def __init__(self,type,size=1,mean=0,std=1):
self.size = size
if type==... | [
"tensorflow.convert_to_tensor",
"tensorflow.concat",
"tensorflow.range",
"numpy.random.choice",
"tensorflow.unstack",
"tensorflow.reduce_sum",
"tensorflow.reshape",
"tensorflow.random.uniform",
"tensorflow.squeeze",
"tensorflow.expand_dims",
"tensorflow.einsum",
"tensorflow.eye",
"tensorflow... | augmentation.py | [(35, 'tensorflow_probability.distributions.Normal', 'tfp.distributions.Normal', (['mean', 'std'], {}), True, 'import tensorflow_probability as tfp\n'), (37, 'tensorflow.einsum', 'tf.einsum', (['"""i,j->ij"""', 'vals', 'vals'], {}), True, 'import tensorflow as tf\n'), (41, 'numpy.random.choice', 'np.random.choice', (['... |
tracysaber/terngrad | cd7e5f1c59e87712a208fc1351defa029a340146 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.Graph",
"tensorflow.gfile.DeleteRecursively",
"tensorflow.gfile.Open",
"tensorflow.gfile.Exists",
"numpy.squeeze",
"tensorflow.app.flags.DEFINE_integer",
"tensorflow.placeholder",
"tensorflow.python_io.TFRecordWriter",
"tensorflow.image.encode_png",
"tensorflow.gfile.MakeDirs",
"tens... | slim/datasets/download_convert_and_shard_cifar10.py | [(41, 'tensorflow.app.flags.DEFINE_integer', 'tf.app.flags.DEFINE_integer', (['"""train_shards"""', '(1000)', '"""Number of shards in training TFRecord files."""'], {}), True, 'import tensorflow as tf\n'), (95, 'tensorflow.python_io.TFRecordWriter', 'tf.python_io.TFRecordWriter', (['record_filename'], {}), True, 'impor... |
TanguyUrvoy/normalizing-flows | e485fe0875c117517353a9ab40e19ff951561cfc | import tensorflow as tf
import tensorflow_probability as tfp
from normalizing_flows.flows import Transform
from . import Parameterize
def gaussianize(x, mus, log_sigmas, inverse=tf.constant(False)):
if inverse:
z = tf.math.exp(log_sigmas)*x + mus
ldj = tf.math.reduce_sum(log_sigmas, axis=[1,2,3])
... | [
"tensorflow.constant",
"tensorflow.math.log",
"tensorflow.math.exp",
"tensorflow.zeros_like",
"tensorflow.math.reduce_sum",
"tensorflow.where"
] | normalizing_flows/flows/glow/gaussianize.py | [(6, 'tensorflow.constant', 'tf.constant', (['(False)'], {}), True, 'import tensorflow as tf\n'), (34, 'tensorflow.constant', 'tf.constant', (['(False)'], {}), True, 'import tensorflow as tf\n'), (85, 'tensorflow.constant', 'tf.constant', (['(False)'], {}), True, 'import tensorflow as tf\n'), (111, 'tensorflow.constant... |
jleni/lola | 9b9a2122aefc97d9ed1529b875912816f1acb5d6 | """
Various utility functions.
"""
import numpy as np
import tensorflow as tf
def batch_to_seq(h, nbatch, nsteps, flat=False):
if flat:
h = tf.reshape(h, [nbatch, nsteps])
else:
h = tf.reshape(h, [nbatch, nsteps, -1])
return [tf.squeeze(v, [1]) for v in tf.split(axis=1, num_or_size_splits=... | [
"tensorflow.concat",
"tensorflow.zeros",
"tensorflow.stack",
"tensorflow.tanh",
"tensorflow.group",
"numpy.linalg.svd",
"numpy.reshape",
"tensorflow.gradients",
"tensorflow.squeeze",
"tensorflow.clip_by_norm",
"numpy.zeros",
"tensorflow.matmul",
"tensorflow.nn.sigmoid",
"tensorflow.placeho... | lola/utils.py | [(34, 'tensorflow.split', 'tf.split', ([], {'axis': '(1)', 'num_or_size_splits': '(2)', 'value': 's'}), True, 'import tensorflow as tf\n'), (47, 'tensorflow.concat', 'tf.concat', ([], {'axis': '(1)', 'values': '[c, h]'}), True, 'import tensorflow as tf\n'), (70, 'tensorflow.get_default_session', 'tf.get_default_session... |
mjbigdel/baselines | ea25b9e8b234e6ee1bca43083f8f3cf974143998 | """Deep Q learning graph
The functions in this file can are used to create the following functions:
======= act ========
Function to chose an action given an observation
Parameters
----------
observation: object
Observation that can be feed into the output of make_obs_ph
stochastic: bool... | [
"tensorflow.cond",
"tensorflow.control_dependencies",
"tensorflow.stack",
"tensorflow.where",
"tensorflow.group",
"tensorflow.Variable",
"tensorflow.stop_gradient",
"tensorflow.clip_by_norm",
"tensorflow.trainable_variables",
"tensorflow.argmax",
"tensorflow.shape",
"tensorflow.placeholder",
... | baselines/deepq/build_graph.py | [(123, 'tensorflow.get_variable_scope', 'tf.get_variable_scope', ([], {}), True, 'import tensorflow as tf\n'), (132, 'tensorflow.trainable_variables', 'tf.trainable_variables', ([], {}), True, 'import tensorflow as tf\n'), (176, 'tensorflow.variable_scope', 'tf.variable_scope', (['scope'], {'reuse': 'reuse'}), True, 'i... |
10jqka-aicubes/opinion_classification | 43f193522b033bd857d294737b3f9dbaac7aed9f | # 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | [
"tensorflow.gfile.Exists",
"tensorflow.data.TFRecordDataset",
"tensorflow.cast",
"tensorflow.python_io.TFRecordWriter",
"tensorflow.contrib.data.map_and_batch",
"tensorflow.train.Features",
"tensorflow.parse_single_example"
] | opinion_classification/electra/finetune/preprocessing.py | [(45, 'finetune.feature_spec.get_shared_feature_specs', 'feature_spec.get_shared_feature_specs', (['config'], {}), False, 'from finetune import feature_spec\n'), (61, 'os.path.join', 'os.path.join', (['self._config.preprocessed_data_dir', 'dataset_name'], {}), False, 'import os\n'), (66, 'util.utils.log', 'utils.log', ... |
moondaiy/TensorFlowTutorials | c7f0255e3704c5a40f72ac0707684fb201123c1c | import tensorflow as tf
#add_layer 函数里面所有的with都是为了tensorboard添加上去的
def add_layer(inputs, in_size, out_size, activation_function=None,nameScope="layer"):
# add one more layer and return the output of this layer
with tf.name_scope(nameScope):
with tf.name_scope('weights'):
Weights = tf.Var... | [
"tensorflow.matmul",
"tensorflow.__version__.split",
"tensorflow.summary.FileWriter",
"tensorflow.zeros",
"tensorflow.placeholder",
"tensorflow.train.SummaryWriter",
"tensorflow.global_variables_initializer",
"tensorflow.initialize_all_variables",
"tensorflow.name_scope",
"tensorflow.Session",
"... | TensorFlowBasic/tensorBoard.py | [(41, 'tensorflow.Session', 'tf.Session', ([], {}), True, 'import tensorflow as tf\n'), (30, 'tensorflow.name_scope', 'tf.name_scope', (['"""inputs"""'], {}), True, 'import tensorflow as tf\n'), (32, 'tensorflow.placeholder', 'tf.placeholder', (['tf.float32', '[None, 1]'], {'name': '"""x_input"""'}), True, 'import tens... |
qianhk/FeiPython | c87578d3c04b7345a99fef7390c8ea12c6f2c716 | #!/usr/bin/env python3
# coding=utf-8
import tensorflow as tf
import numpy as np
# with tf.device('/cpu:0'):
#
# sess = tf.Session()
#
# # a_gpu = tf.Variable(0, name="a_gup")
# # sess = tf.Session(config=tf.ConfigProto(allow_soft_placement=True))
#
# hello = tf.constant('Hello, TensorFlow!')
# pr... | [
"tensorflow.floordiv",
"tensorflow.matrix_determinant",
"tensorflow.diag",
"tensorflow.cholesky",
"tensorflow.Variable",
"tensorflow.div",
"tensorflow.nn.top_k",
"tensorflow.self_adjoint_eig",
"tensorflow.Session",
"tensorflow.square",
"tensorflow.nn.in_top_k",
"tensorflow.cross",
"tensorflo... | Python3Test/TensorflowTest.py | [(27, 'tensorflow.diag', 'tf.diag', (['[1.0, 3.0, 1.0]'], {}), True, 'import tensorflow as tf\n'), (28, 'tensorflow.truncated_normal', 'tf.truncated_normal', (['[2, 3]'], {}), True, 'import tensorflow as tf\n'), (29, 'tensorflow.fill', 'tf.fill', (['[2, 3]', '(5.0)'], {}), True, 'import tensorflow as tf\n'), (30, 'tens... |
drewlinsley/ffn_membrane | 4b4638c00eed847fa6a7958a7fdbeedca4236561 | """Contextual model with partial filters."""
import warnings
import numpy as np
import tensorflow as tf
import initialization
from pooling import max_pool3d
# Dependency for symmetric weight ops is in models/layers/ff.py
class hGRU(object):
def __getitem__(self, name):
return getattr(self, name)
def ... | [
"tensorflow.get_variable",
"tensorflow.zeros",
"tensorflow.minimum",
"tensorflow.get_default_graph",
"tensorflow.while_loop",
"tensorflow.gather",
"tensorflow.nn.conv3d_transpose",
"tensorflow.image.resize_images",
"tensorflow.identity",
"tensorflow.nn.conv3d",
"tensorflow.contrib.layers.batch_n... | ffn/training/models/prc/feedback_hgru_3l_temporal.py | [(145, 'tensorflow.transpose', 'tf.transpose', (['w', '(2, 3, 0, 1)'], {}), True, 'import tensorflow as tf\n'), (147, 'tensorflow.transpose', 'tf.transpose', (['conv_w_symm', '(2, 3, 0, 1)'], {'name': 'name'}), True, 'import tensorflow as tf\n'), (916, 'tensorflow.constant', 'tf.constant', (['(0)'], {}), True, 'import ... |
taoshen58/ReSAN | f65f3fe656907be0ec14ddf18cd7d2608e7ef905 | import tensorflow as tf
from resan.utils.nn import bn_dense_layer, dropout, linear
from resan.utils.general import exp_mask_for_high_rank, mask_for_high_rank
from resan.rl_nn import reduce_data_rep_max_len
def reinforced_self_attention(
rep_tensor, rep_mask, dep_selection, head_selection,
hn=None, ke... | [
"tensorflow.concat",
"tensorflow.zeros",
"tensorflow.reduce_sum",
"tensorflow.stack",
"tensorflow.equal",
"tensorflow.cast",
"tensorflow.greater",
"tensorflow.add",
"tensorflow.name_scope",
"tensorflow.logical_not",
"tensorflow.shape",
"tensorflow.less",
"tensorflow.nn.tanh",
"tensorflow.n... | resan/resa.py | [(114, 'resan.utils.nn.dropout', 'dropout', (['rep_map', 'keep_prob', 'is_train'], {}), False, 'from resan.utils.nn import bn_dense_layer, dropout, linear\n'), (115, 'resan.rl_nn.reduce_data_rep_max_len', 'reduce_data_rep_max_len', (['rep_map_dp', 'dep_selection'], {}), False, 'from resan.rl_nn import reduce_data_rep_m... |
agrawalayan/R-net-1 | 1748d108a8248466d99cdf3c3f284619d88bcc73 | from __future__ import print_function
import tensorflow as tf
from tensorflow.python.ops import variable_scope
from tensorflow.python.ops import nn_ops
def add_first_word_prob_to_atten_dists(in_passage_words, phrase_starts, vocab_dist, attn_dist):
'''
in_passage_words: [batch_size, passage_length]
phrase_s... | [
"tensorflow.get_variable",
"tensorflow.device",
"tensorflow.concat",
"tensorflow.zeros",
"tensorflow.reduce_sum",
"tensorflow.stack",
"tensorflow.cast",
"tensorflow.equal",
"tensorflow.minimum",
"tensorflow.map_fn",
"tensorflow.tanh",
"tensorflow.python.ops.nn_ops.softmax",
"tensorflow.rando... | src/generator_utils.py | [(25, 'tensorflow.map_fn', 'tf.map_fn', (['singel_instance', 'elems'], {'dtype': 'tf.float32'}), True, 'import tensorflow as tf\n'), (374, 'tensorflow.clip_by_value', 'tf.clip_by_value', (['word_probs', 'epsilon', '(1.0 - epsilon)'], {}), True, 'import tensorflow as tf\n'), (385, 'tensorflow.shape', 'tf.shape', (['word... |
jfacoustic/MyTwitterBot | 15a9509c41ba8c7049675048b4d05ab457270a7d | import tensorflow as tf
def init_wb(shape, name):
"""
Function initialize one matrix of weights and one bias vector.
:type shape: tuple
:type name: str
:rtype: dictionary
"""
Winit = tf.truncated_normal(shape, mean=0, stddev=0.1)
binit = tf.zeros(shape[-1])
layer = {}
layer["w... | [
"tensorflow.get_variable",
"tensorflow.truncated_normal",
"tensorflow.matmul",
"tensorflow.zeros"
] | src/tftools/basic_functions.py | [(12, 'tensorflow.truncated_normal', 'tf.truncated_normal', (['shape'], {'mean': '(0)', 'stddev': '(0.1)'}), True, 'import tensorflow as tf\n'), (13, 'tensorflow.zeros', 'tf.zeros', (['shape[-1]'], {}), True, 'import tensorflow as tf\n'), (15, 'tensorflow.get_variable', 'tf.get_variable', (["(name + '/weights')"], {'dt... |
congchan/nnnlp | 9a2026a2577817d485d139bf442de7fd602418e6 | # coding=utf-8
"""GLUE tasks."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import time
import six
import json
import copy
import glue_utils as classifier_utils
import modeling
import optimization
import tokenization
import tensorflow as tf
f... | [
"tensorflow.contrib.cluster_resolver.TPUClusterResolver",
"tensorflow.metrics.true_negatives",
"tensorflow.metrics.accuracy",
"tensorflow.nn.log_softmax",
"tensorflow.gfile.Exists",
"tensorflow.reduce_sum",
"tensorflow.gfile.GFile",
"tensorflow.cast",
"tensorflow.train.init_from_checkpoint",
"tens... | tf/train_glue_baseline.py | [(108, 'tensorflow.flags.DEFINE_string', 'tf.flags.DEFINE_string', (['"""tpu_name"""', 'None', '"""The Cloud TPU to use for training. This should be either the name used when creating the Cloud TPU, or a grpc://ip.address.of.tpu:8470 url."""'], {}), True, 'import tensorflow as tf\n'), (114, 'tensorflow.flags.DEFINE_str... |
junkilee/simple_baselines | cc5cc4b8d83119bf144abb08900762b76b1a33ac | """Deep Q learning graph
The functions in this file can are used to create the following functions:
======= act ========
Function to chose an action given an observation
Parameters
----------
observation: object
Observation that can be feed into the output of make_obs_ph
stochastic: bool... | [
"tensorflow.cond",
"tensorflow.control_dependencies",
"tensorflow.stack",
"tensorflow.where",
"tensorflow.group",
"tensorflow.Variable",
"tensorflow.stop_gradient",
"tensorflow.trainable_variables",
"tensorflow.argmax",
"tensorflow.shape",
"tensorflow.placeholder",
"tensorflow.one_hot",
"ten... | baselines/deepq/build_graph.py | [(101, 'tensorflow.trainable_variables', 'tf.trainable_variables', ([], {}), True, 'import tensorflow as tf\n'), (145, 'tensorflow.variable_scope', 'tf.variable_scope', (['scope'], {'reuse': 'reuse'}), True, 'import tensorflow as tf\n'), (147, 'tensorflow.placeholder', 'tf.placeholder', (['tf.bool', '()'], {'name': '""... |
fol21/domain-adaptation-in-deforestation | ae1c37b1634f54230f1d2217c209dabd6780568a | import os
import numpy as np
import tensorflow as tf
class Networks():
def __init__(self, args):
super(Networks, self).__init__()
self.args = args
# Wittich design
def VNET_16L(self, I, is_train, reuse_unet=False, reuse_ada=False, adaption_net=False):
def encoder_conf(name, ... | [
"tensorflow.get_variable",
"tensorflow.concat",
"tensorflow.layers.dropout",
"tensorflow.layers.conv2d_transpose",
"tensorflow.pad",
"tensorflow.contrib.layers.group_norm",
"tensorflow.nn.conv2d",
"tensorflow.layers.batch_normalization",
"tensorflow.contrib.layers.variance_scaling_initializer",
"t... | src/ADDA/Networks.py | [(252, 'tensorflow.layers.conv2d', 'tf.layers.conv2d', (['input', 'channels'], {'kernel_size': 'size', 'strides': '[stride, stride]', 'padding': 'padding', 'kernel_initializer': 'init', 'name': "('conv' + id)", 'use_bias': 'use_bias', 'dilation_rate': '(dilation, dilation)'}), True, 'import tensorflow as tf\n'), (261, ... |
tum-ai/expingo-inpainting-service | 657f65316c179f85507350d55e4ab4ac429552a0 | import numpy as np
import cv2
import uvicorn
import tensorflow as tf
import neuralgym as ng
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from fastapi import FastAPI, UploadFile, File
from fastapi import HTTPException
from inpaint.inpainting_model import InpaintCAModel
class Pain... | [
"tensorflow.reverse",
"numpy.expand_dims",
"tensorflow.constant",
"tensorflow.get_collection",
"tensorflow.assign",
"numpy.transpose",
"numpy.concatenate",
"tensorflow.ConfigProto",
"tensorflow.reset_default_graph",
"tensorflow.contrib.framework.load_variable",
"tensorflow.Session",
"tensorflo... | app/main.py | [(20, 'neuralgym.Config', 'ng.Config', (['"""inpaint.yml"""'], {}), True, 'import neuralgym as ng\n'), (22, 'inpaint.inpainting_model.InpaintCAModel', 'InpaintCAModel', ([], {}), False, 'from inpaint.inpainting_model import InpaintCAModel\n'), (23, 'fastapi.FastAPI', 'FastAPI', ([], {}), False, 'from fastapi import Fas... |
lywong92/garage | 96cb8887fcae90531a645d540653010e7fe10fcc | """
The local runner for tensorflow algorithms.
A runner setup context for algorithms during initialization and
pipelines data between sampler and algorithm during training.
"""
import copy
import time
from types import SimpleNamespace
from dowel import logger, tabular
import tensorflow as tf
from garage.experiment ... | [
"tensorflow.get_default_session",
"tensorflow.global_variables",
"tensorflow.report_uninitialized_variables",
"tensorflow.name_scope",
"tensorflow.Session"
] | src/garage/experiment/local_tf_runner.py | [(136, 'dowel.logger.log', 'logger.log', (['self.sess.graph'], {}), False, 'from dowel import logger, tabular\n'), (139, 'types.SimpleNamespace', 'SimpleNamespace', ([], {'sampler_cls': 'sampler_cls', 'sampler_args': 'sampler_args'}), False, 'from types import SimpleNamespace\n'), (196, 'dowel.logger.log', 'logger.log'... |
jason9075/ithome_tensorflow_series | e8f92de2a73a88e7b03a9ac58ece4c4a604f066e | import cv2
import tensorflow as tf
TFRECORD_PATH = '../tfrecord/member.tfrecord'
def main():
data_set = tf.data.TFRecordDataset(TFRECORD_PATH)
data_set = data_set.map(parse_function)
data_set = data_set.shuffle(buffer_size=9)
data_set = data_set.batch(3)
iterator = data_set.make_initializable_ite... | [
"tensorflow.image.random_brightness",
"tensorflow.image.random_contrast",
"tensorflow.image.random_flip_left_right",
"tensorflow.data.TFRecordDataset",
"tensorflow.image.decode_png",
"tensorflow.io.parse_single_example",
"tensorflow.image.random_saturation",
"tensorflow.io.FixedLenFeature",
"tensorf... | 14/record_dataset.py | [(8, 'tensorflow.data.TFRecordDataset', 'tf.data.TFRecordDataset', (['TFRECORD_PATH'], {}), True, 'import tensorflow as tf\n'), (37, 'tensorflow.io.parse_single_example', 'tf.io.parse_single_example', (['example_proto', 'features'], {}), True, 'import tensorflow as tf\n'), (38, 'tensorflow.image.decode_png', 'tf.image.... |
kevslinger/stable-baselines | 4bf9f3c1db49f462f5fb35df967d836d92a3dbcd | """Deep Q learning graph
The functions in this file can are used to create the following functions:
======= act ========
Function to chose an action given an observation
:param observation: (Any) Observation that can be feed into the output of make_obs_ph
:param stochastic: (bool) if set to False all th... | [
"tensorflow.cond",
"tensorflow.control_dependencies",
"tensorflow.stack",
"tensorflow.where",
"tensorflow.group",
"tensorflow.summary.scalar",
"tensorflow.all_variables",
"tensorflow.Variable",
"tensorflow.summary.image",
"tensorflow.stop_gradient",
"tensorflow.clip_by_norm",
"tensorflow.train... | stable_baselines/deepq_lstm/build_graph.py | [(143, 'tensorflow.argmax', 'tf.argmax', (['policy.q_values'], {'axis': '(1)'}), True, 'import tensorflow as tf\n'), (156, 'tensorflow.all_variables', 'tf.all_variables', ([], {}), True, 'import tensorflow as tf\n'), (163, 'tensorflow.where', 'tf.where', (['chose_random', 'random_actions', 'deterministic_actions'], {})... |
hssinejihene/deepchem-1.1.0 | 6efbe6b638b77bb2685ac617f4d6649755c01335 | """Ops for graph construction.
Large amounts of code borrowed from Keras. Will try to incorporate into
DeepChem properly.
"""
from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
import os
import sys
import traceback
import numpy as np
import tensorflow as tf
f... | [
"tensorflow.convert_to_tensor",
"tensorflow.cond",
"tensorflow.nn.softmax_cross_entropy_with_logits",
"tensorflow.concat",
"tensorflow.zeros",
"numpy.asarray",
"tensorflow.reduce_sum",
"tensorflow.cast",
"tensorflow.nn.sigmoid_cross_entropy_with_logits",
"tensorflow.nn.l2_loss",
"tensorflow.wher... | deepchem/nn/model_ops.py | [(21, 'collections.defaultdict', 'defaultdict', (['int'], {}), False, 'from collections import defaultdict\n'), (29, 'tensorflow.convert_to_tensor', 'tf.convert_to_tensor', (['x'], {}), True, 'import tensorflow as tf\n'), (42, 'tensorflow.get_default_graph', 'tf.get_default_graph', ([], {}), True, 'import tensorflow as... |
YuHe0108/cvmodule | ea00a90fc9bbca5b2c7809791cbd1f7b0da526cd | from tensorflow import keras
import tensorflow as tf
def joint_mse_loss(y_pred, y_true, true_weight):
"""
损失函数想要表达的意思: 输出的特征图数量为关键点的数量，意味着输出的是每一个像素属于各个关键点的置信度
"""
batch_size = y_pred.shape[0]
num_of_joints = y_pred.shape[-1] # 有多少个关键点
y_pred = tf.reshape(y_pred, shape=(batch_size, -... | [
"tensorflow.losses.mean_squared_error",
"tensorflow.reduce_mean",
"tensorflow.reshape",
"tensorflow.losses.MeanSquaredError",
"tensorflow.squeeze",
"tensorflow.split"
] | HumeanPoseEstimate/loss.py | [(11, 'tensorflow.reshape', 'tf.reshape', (['y_pred'], {'shape': '(batch_size, -1, num_of_joints)'}), True, 'import tensorflow as tf\n'), (12, 'tensorflow.split', 'tf.split', ([], {'value': 'y_pred', 'num_or_size_splits': 'num_of_joints', 'axis': '(-1)'}), True, 'import tensorflow as tf\n'), (15, 'tensorflow.reshape', ... |
danielvarga/vat_tf | 0b40b256922b7996558504a5d2c3556b5f9fff15 | import time
import numpy as np
import tensorflow as tf
import layers as L
import vat
FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_string('device', '/gpu:0', "device")
tf.app.flags.DEFINE_string('dataset', 'cifar10', "{cifar10, svhn}")
tf.app.flags.DEFINE_string('log_dir', "", "log_dir")
tf.app.flags.DEFINE_inte... | [
"tensorflow.device",
"tensorflow.global_variables",
"tensorflow.app.flags.DEFINE_string",
"tensorflow.train.AdamOptimizer",
"numpy.random.randint",
"tensorflow.Graph",
"tensorflow.app.flags.DEFINE_integer",
"tensorflow.trainable_variables",
"numpy.load",
"tensorflow.Summary",
"tensorflow.app.run... | train_semisup.py | [(11, 'tensorflow.app.flags.DEFINE_string', 'tf.app.flags.DEFINE_string', (['"""device"""', '"""/gpu:0"""', '"""device"""'], {}), True, 'import tensorflow as tf\n'), (13, 'tensorflow.app.flags.DEFINE_string', 'tf.app.flags.DEFINE_string', (['"""dataset"""', '"""cifar10"""', '"""{cifar10, svhn}"""'], {}), True, 'import ... |
yijunyu/demo-fast | 11c0c84081a3181494b9c469bda42a313c457ad2 | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.core.framework.function_pb2.FunctionDef",
"tensorflow.core.framework.op_def_pb2.OpDef",
"tensorflow.python.ops.variable_scope.get_variable_scope",
"tensorflow.python.ops.variable_scope._get_default_variable_store",
"tensorflow.core.framework.op_def_pb2.OpDef.ArgDef",
"tensorflow.python.framewo... | datasets/tensorflow-1.0.1/tensorflow/python/framework/function.py | [(45, 'tensorflow.core.framework.op_def_pb2.OpDef.ArgDef', 'op_def_pb2.OpDef.ArgDef', ([], {}), False, 'from tensorflow.core.framework import op_def_pb2\n'), (147, 'tensorflow.core.framework.function_pb2.FunctionDef', 'function_pb2.FunctionDef', ([], {}), False, 'from tensorflow.core.framework import function_pb2\n'), ... |
priumoraes/tpu | c7fbe70f00956e802c23c9e831d7482613968fa7 | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.contrib.cluster_resolver.TPUClusterResolver",
"tensorflow.contrib.tpu.TPUEstimator",
"tensorflow.estimator.Estimator",
"tensorflow.train.latest_checkpoint",
"tensorflow.gfile.MkDir",
"tensorflow.cast",
"tensorflow.estimator.export.TensorServingInputReceiver",
"tensorflow.placeholder",
"t... | models/official/amoeba_net/amoeba_net.py | [(44, 'absl.flags.DEFINE_string', 'flags.DEFINE_string', (['"""tpu"""'], {'default': 'None', 'help': '"""The Cloud TPU to use for training. This should be either the name used when creating the Cloud TPU, or a grpc://ip.address.of.tpu:8470 url."""'}), False, 'from absl import flags\n'), (49, 'absl.flags.DEFINE_string',... |
zeuseyera/baselines-kr | c9926418d2d8efee21ef20d548366eaaaa193011 | import os
import numpy as np
import tensorflow as tf
from collections import deque
def sample(logits):
noise = tf.random_uniform(tf.shape(logits))
return tf.argmax(logits - tf.log(-tf.log(noise)), 1)
def cat_entropy(logits):
a0 = logits - tf.reduce_max(logits, 1, keepdims=True)
ea0 = tf.exp(a0)
z... | [
"tensorflow.concat",
"tensorflow.reduce_sum",
"tensorflow.stack",
"tensorflow.tanh",
"numpy.mean",
"tensorflow.nn.conv2d",
"numpy.linalg.svd",
"numpy.reshape",
"tensorflow.nn.moments",
"tensorflow.squeeze",
"tensorflow.square",
"tensorflow.trainable_variables",
"tensorflow.matmul",
"tensor... | baselines/a2c/utils.py | [(12, 'tensorflow.exp', 'tf.exp', (['a0'], {}), True, 'import tensorflow as tf\n'), (13, 'tensorflow.reduce_sum', 'tf.reduce_sum', (['ea0', '(1)'], {'keepdims': '(True)'}), True, 'import tensorflow as tf\n'), (89, 'tensorflow.split', 'tf.split', ([], {'axis': '(1)', 'num_or_size_splits': '(2)', 'value': 's'}), True, 'i... |
rejux/rklearn-lib | 56bc4f087a8c971cb545d65b0c1f9bafaaec3d67 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#############
## Imports ##
#############
import os
import sys ; sys.path.append("/home/developer/workspace/rklearn-lib")
import tensorflow as tf
from rklearn.tfoo_v1 import BaseModel
#################
## CIFAR10CNN ##
#################
class CIFAR10CNN(BaseModel):
... | [
"tensorflow.layers.conv2d",
"tensorflow.nn.softmax_cross_entropy_with_logits",
"tensorflow.compat.v1.train.AdamOptimizer",
"tensorflow.layers.dropout",
"tensorflow.reshape",
"tensorflow.contrib.framework.arg_scope",
"tensorflow.layers.max_pooling2d",
"tensorflow.cast",
"tensorflow.contrib.layers.ful... | rklearn/tests/it/cifar10_cnn.py | [(9, 'sys.path.append', 'sys.path.append', (['"""/home/developer/workspace/rklearn-lib"""'], {}), False, 'import sys\n'), (57, 'tensorflow.compat.v1.placeholder', 'tf.compat.v1.placeholder', (['tf.float32'], {'shape': "(None, self.config.data['image_size'], self.config.data['image_size'], self\n .config.data['num_ch... |
topsun888/tensorflow | bad7c50b9dc9789ad7dd0a62daca40b7269841ed | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.python.platform.tf_logging.warning",
"tensorflow.python.training.saver.latest_checkpoint",
"tensorflow.contrib.framework.python.ops.variables.get_global_step",
"tensorflow.contrib.learn.python.learn.summary_writer_cache.SummaryWriterCache.get",
"tensorflow.contrib.learn.python.learn.session_run_... | tensorflow/contrib/learn/python/learn/monitors.py | [(903, 'tensorflow.contrib.framework.deprecated_arg_values', 'deprecated_arg_values', (['"""2016-09-23"""', '"""The signature of the input_fn accepted by export is changing to be consistent with what\'s used by tf.Learn Estimator\'s train/evaluate. input_fn (and in most cases, input_feature_key) will both become requir... |
gmum/cwae | 50592903c321de25f339f3b00cbd2143741e5037 | import tensorflow as tf
import math as m
from rec_errors import euclidean_norm_squared
def silverman_rule_of_thumb(N: int):
return tf.pow(4/(3*N), 0.4)
def cw_1d(X, y=None):
def N0(mean, variance):
return 1.0/(tf.sqrt(2.0 * m.pi * variance)) * tf.exp((-(mean**2))/(2*variance))
N = tf.cast(tf.s... | [
"tensorflow.shape",
"tensorflow.pow",
"tensorflow.zeros",
"tensorflow.maximum",
"tensorflow.cast",
"tensorflow.minimum",
"tensorflow.exp",
"tensorflow.expand_dims",
"tensorflow.ones",
"tensorflow.sqrt"
] | src/cw.py | [(7, 'tensorflow.pow', 'tf.pow', (['(4 / (3 * N))', '(0.4)'], {}), True, 'import tensorflow as tf\n'), (62, 'rec_errors.euclidean_norm_squared', 'euclidean_norm_squared', (['X'], {'axis': '(1)'}), False, 'from rec_errors import euclidean_norm_squared\n'), (85, 'tensorflow.cast', 'tf.cast', (['D', 'tf.int32'], {}), True... |
nonu116/HDR-GAN | 239f68dd07f1970e0317515a313b69a9c3914f74 | import os
import tensorflow as tf
from tensorkit.log import logger, Color
class Restore(object):
def __init__(self):
self._var_list = None
self._restore_saver = None
self._restore_optimistic = False
self.restore_ckpt_file = None
self._inited = False
def init(self, va... | [
"tensorflow.train.Saver",
"tensorflow.train.NewCheckpointReader",
"tensorflow.variable_scope",
"tensorflow.global_variables"
] | tensorkit/restore.py | [(69, 'tensorflow.train.NewCheckpointReader', 'tf.train.NewCheckpointReader', (['self.restore_ckpt_file'], {}), True, 'import tensorflow as tf\n'), (29, 'os.path.exists', 'os.path.exists', (['ckpt_dir'], {}), False, 'import os\n'), (54, 'tensorflow.train.Saver', 'tf.train.Saver', (['self._var_list'], {'name': '"""tk_re... |
wyyy04/scene-graph-TF-release | 4c9e3c6a5cb0e6a241a92dc9b786f74e69ca35c4 | import tensorflow as tf
def exp_average_summary(ops, dep_ops, decay=0.9, name='avg', scope_pfix='',
raw_pfix=' (raw)', avg_pfix=' (avg)'):
averages = tf.train.ExponentialMovingAverage(decay, name=name)
averages_op = averages.apply(ops)
for op in ops:
tf.scalar_summary(scope... | [
"tensorflow.concat",
"tensorflow.control_dependencies",
"tensorflow.reduce_mean",
"tensorflow.segment_mean",
"tensorflow.assign",
"tensorflow.reshape",
"tensorflow.scalar_summary",
"tensorflow.expand_dims",
"tensorflow.gather",
"tensorflow.train.ExponentialMovingAverage",
"tensorflow.zeros_like"... | lib/networks/net_utils.py | [(5, 'tensorflow.train.ExponentialMovingAverage', 'tf.train.ExponentialMovingAverage', (['decay'], {'name': 'name'}), True, 'import tensorflow as tf\n'), (20, 'tensorflow.reduce_mean', 'tf.reduce_mean', (['vec', '(0)'], {}), True, 'import tensorflow as tf\n'), (21, 'tensorflow.assign', 'tf.assign', (['curr_avg', '(curr... |
jiajunhua/asyml-texar | 22d7b8eea5bd43eef68b615ba87b2e8220bafdf8 | # Copyright 2018 The Texar Authors. All Rights Reserved.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | [
"tensorflow.get_collection_ref",
"tensorflow.placeholder_with_default",
"tensorflow.equal"
] | texar/tf/context.py | [(53, 'tensorflow.get_collection_ref', 'tf.get_collection_ref', (['_GLOBAL_MODE_KEY'], {}), True, 'import tensorflow as tf\n'), (84, 'tensorflow.equal', 'tf.equal', (['mode', 'tf.estimator.ModeKeys.TRAIN'], {}), True, 'import tensorflow as tf\n'), (91, 'tensorflow.equal', 'tf.equal', (['mode', 'tf.estimator.ModeKeys.EV... |
microsoft/DistributedBERT | e6245fee4d7123466a3e3b53f8afacffd6baa75f | # coding=utf-8
# Copyright 2018 The Google AI Language Team 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | [
"tensorflow.train.LoggingTensorHook",
"tensorflow.metrics.accuracy",
"tensorflow.nn.log_softmax",
"tensorflow.FixedLenFeature",
"tensorflow.gfile.Exists",
"tensorflow.reduce_sum",
"tensorflow.gfile.GFile",
"tensorflow.train.init_from_checkpoint",
"tensorflow.contrib.data.parallel_interleave",
"ten... | run_pretraining.py | [(100, 'tensorflow.flags.DEFINE_string', 'tf.flags.DEFINE_string', (['"""tpu_name"""', 'None', '"""The Cloud TPU to use for training. This should be either the name used when creating the Cloud TPU, or a grpc://ip.address.of.tpu:8470 url."""'], {}), True, 'import tensorflow as tf\n'), (106, 'tensorflow.flags.DEFINE_str... |
stephenjfox/trax | 918b1ce2ad63a24cb957ebc8e8ea0af1ee272666 | # coding=utf-8
# Copyright 2022 The Trax 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | [
"tensorflow.device",
"tensorflow.concat",
"tensorflow.zeros",
"tensorflow.cast",
"tensorflow.image.random_crop",
"numpy.concatenate",
"tensorflow.compat.v1.gfile.GFile",
"tensorflow.nest.flatten",
"tensorflow.nest.pack_sequence_as",
"numpy.random.randint",
"tensorflow.image.random_flip_left_righ... | trax/data/tf_inputs.py | [(74, 'gin.configurable', 'gin.configurable', ([], {'module': '"""trax.data"""'}), False, 'import gin\n'), (288, 'gin.configurable', 'gin.configurable', ([], {'module': '"""trax.data"""'}), False, 'import gin\n'), (457, 'gin.configurable', 'gin.configurable', ([], {'module': '"""trax.data"""'}), False, 'import gin\n'),... |
tombroz/berkeley-cs294_homework | 5419b772c734093c750362d2e09b46ce59d79da6 | import os
import sys
import time
import gym.spaces
import itertools
import numpy as np
import random
import tensorflow as tf
import tensorflow.contrib.layers as layers
from collections import namedtuple
from dqn_utils import *
OptimizerSpec = namedtuple("OptimizerSpec", ["constructor", "kwargs", "lr_sc... | [
"tensorflow.reduce_max",
"tensorflow.summary.FileWriter",
"numpy.random.choice",
"tensorflow.get_collection",
"tensorflow.shape",
"tensorflow.cast",
"tensorflow.global_variables",
"tensorflow.placeholder",
"tensorflow.Summary.Value",
"numpy.mean",
"tensorflow.argmax",
"tensorflow.group"
] | hw3/dqn.py | [(14, 'collections.namedtuple', 'namedtuple', (['"""OptimizerSpec"""', "['constructor', 'kwargs', 'lr_schedule']"], {}), False, 'from collections import namedtuple\n'), (89, 'tensorflow.summary.FileWriter', 'tf.summary.FileWriter', (['out_dir'], {}), True, 'import tensorflow as tf\n'), (103, 'tensorflow.placeholder', '... |
mihirp1998/sbnet_3d_tensorflow | 2a990c6e16d33b5b89815c9543819a3e42ebab1d | """
Sparse Blocks Network
Copyright (c) 2017, Uber Technologies, Inc.
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
http://www.apache.org/licenses/LICENSE-2.0
Unless re... | [
"tensorflow.cond",
"tensorflow.get_variable",
"numpy.expand_dims",
"numpy.sqrt",
"tensorflow.control_dependencies",
"tensorflow.zeros",
"tensorflow.nn.max_pool",
"tensorflow.stack",
"tensorflow.cast",
"tensorflow.nn.l2_loss",
"tensorflow.pad",
"tensorflow.nn.conv2d",
"tensorflow.strided_slic... | sbnet_tensorflow/benchmark/sparse_conv_lib.py | [(72, 'logger.get', 'logger.get', ([], {}), False, 'import logger\n'), (74, 'tensorflow.load_op_library', 'tf.load_op_library', (['"""../sbnet_ops/libsbnet.so"""'], {}), True, 'import tensorflow as tf\n'), (76, 'collections.namedtuple', 'namedtuple', (['"""BlockParams"""', "['bsize', 'bsize_out', 'boffset', 'bcount', '... |
yougoforward/tensorpackwithmscnn | 8d5ae5cc2cfcf2e4e53b4d1064ac9e727f736d09 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# File: mnist-addition.py
# Author: Yuxin Wu <ppwwyyxxc@gmail.com>
import cv2
import numpy as np
import tensorflow as tf
import os
import argparse
from tensorpack import *
from tensorpack.dataflow import dataset
from tensorpack.tfutils import sesscreate, optimizer, summa... | [
"tensorflow.get_variable",
"tensorflow.concat",
"tensorflow.train.AdamOptimizer",
"tensorflow.pad",
"tensorflow.add_n",
"numpy.matmul",
"numpy.stack",
"tensorflow.name_scope",
"tensorflow.nn.in_top_k",
"tensorflow.matmul",
"tensorflow.nn.sparse_softmax_cross_entropy_with_logits",
"numpy.transp... | examples/SpatialTransformer/mnist-addition.py | [(100, 'tensorpack.dataflow.dataset.Mnist', 'dataset.Mnist', (["('train' if isTrain else 'test')"], {}), False, 'from tensorpack.dataflow import dataset\n'), (125, 'numpy.array', 'np.array', (['[[0, 0, 1], [WARP_TARGET_SIZE, 0, 1], [WARP_TARGET_SIZE, WARP_TARGET_SIZE, \n 1], [0, WARP_TARGET_SIZE, 1]]'], {'dtype': '"... |
aikakysymys/transformers | 34e11fab167a7beb78fbe6991ff8721dc9208793 | # coding=utf-8
# Copyright 2019-present, Facebook, Inc and the HuggingFace Inc. team.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | [
"tensorflow.convert_to_tensor",
"tensorflow.not_equal",
"tensorflow.range"
] | src/transformers/modeling_tf_flaubert.py | [(278, 'random.uniform', 'random.uniform', (['(0)', '(1)'], {}), False, 'import random\n'), (202, 'tensorflow.convert_to_tensor', 'tf.convert_to_tensor', (['([slen] * bs)', 'tf.int32'], {}), True, 'import tensorflow as tf\n'), (224, 'tensorflow.range', 'tf.range', (['slen'], {}), True, 'import tensorflow as tf\n'), (20... |
StijnMatsHendriks/adversarial_attack_demo | 956fd8a96c0c8abf1f4a3e0ffb9d83eeda79b8ff | """
This module provide the defence method for SpatialSmoothingDefence's implement.
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
"""
from __future__ import division
from builtins import range
from past.utils import old_div
import logging
logger=logging.getLogger(__name__)
import numpy a... | [
"tensorflow.clip_by_value",
"tensorflow.sign",
"tensorflow.gradients",
"tensorflow.stop_gradient",
"tensorflow.square",
"tensorflow.sqrt",
"tensorflow.abs"
] | adversarialbox/attacks/tf/tools.py | [(12, 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), False, 'import logging\n'), (28, 'tensorflow.gradients', 'tf.gradients', (['loss', 'x'], {}), True, 'import tensorflow as tf\n'), (67, 'tensorflow.gradients', 'tf.gradients', (['loss', 'x'], {}), True, 'import tensorflow as tf\n'), (37, 'past.utils.old... |
lixusign/euler | c8ce1968367aec2807cc542fcdb5958e3b1b9295 | # Copyright 2018 Alibaba Group Holding Limited. All Rights Reserved.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | [
"tensorflow.unique",
"tensorflow.stack",
"tensorflow.cast",
"tensorflow.reshape",
"tensorflow.SparseTensor",
"tensorflow.sparse_reorder",
"tensorflow.size"
] | tf_euler/python/euler_ops/neighbor_ops.py | [(41, 'tf_euler.python.euler_ops.base._LIB_OP.get_full_neighbor', 'base._LIB_OP.get_full_neighbor', (['nodes', 'edge_types'], {}), False, 'from tf_euler.python.euler_ops import base\n'), (59, 'tf_euler.python.euler_ops.base._LIB_OP.get_sorted_full_neighbor', 'base._LIB_OP.get_sorted_full_neighbor', (['nodes', 'edge_typ... |
NWPU-903PR/MTDDI | ee4b7f9641aa55681757136f86bae540b046f40b | from __future__ import division
from __future__ import print_function
from operator import itemgetter
from itertools import combinations
import time
import os
import pandas as pd
import random
import copy
import scipy.io as sio
import tensorflow as tf
import numpy as np
import networkx as nx
import scipy.sparse as sp
f... | [
"sklearn.metrics.roc_auc_score",
"tensorflow.sparse_placeholder",
"numpy.nan_to_num",
"sklearn.metrics.confusion_matrix",
"sklearn.metrics.f1_score",
"numpy.exp",
"numpy.hstack",
"tensorflow.placeholder_with_default",
"sklearn.metrics.precision_recall_curve",
"tensorflow.name_scope",
"tensorflow... | main.py | [(39, 'numpy.random.seed', 'np.random.seed', (['(0)'], {}), True, 'import numpy as np\n'), (209, 'scipy.sparse.identity', 'sp.identity', (['n_drugs'], {}), True, 'import scipy.sparse as sp\n'), (274, 'MTDDI.minibatch.EdgeMinibatchIterator', 'EdgeMinibatchIterator', ([], {'adj_mats': 'adj_mats_orig', 'drug_similarity': ... |
nelsonsaturno/keras-yolo3 | 5fcdd0ef4ec17c952ccbe38612d2f1d97a029937 | from functools import reduce, wraps
import tensorflow as tf
import keras.backend as K
from keras.layers import Input, Lambda
from keras.models import Model
from keras.layers import Conv2D, Add, ZeroPadding2D, UpSampling2D, Concatenate, MaxPooling2D
from keras.layers.advanced_activations import LeakyReLU
from keras.lay... | [
"tensorflow.boolean_mask"
] | tiny_model.py | [(170, 'functools.wraps', 'wraps', (['Conv2D'], {}), False, 'from functools import reduce, wraps\n'), (39, 'keras.backend.expand_dims', 'K.expand_dims', (['b1', '(-2)'], {}), True, 'import keras.backend as K\n'), (47, 'keras.backend.expand_dims', 'K.expand_dims', (['b2', '(0)'], {}), True, 'import keras.backend as K\n'... |
bluemonk482/tdlstm | 29032c3d116866e3d30b29fdf1a0af605c054d93 | import sys
sys.path.insert(0, r'../')
import data.util
import tensorflow as tf
import numpy as np
class LSTMClassifier:
def __init__(self, args, embedding_init):
self.learning_rate = args.learning_rate
self.num_hidden = args.num_hidden
self.num_classes = args.num_classes
self.dropout_output = args.dropout_o... | [
"tensorflow.nn.dynamic_rnn",
"tensorflow.reduce_sum",
"tensorflow.cast",
"tensorflow.train.AdamOptimizer",
"tensorflow.gradients",
"tensorflow.gather",
"tensorflow.contrib.layers.xavier_initializer",
"tensorflow.trainable_variables",
"tensorflow.argmax",
"tensorflow.nn.dropout",
"tensorflow.matm... | models/lstm_classifier.py | [(2, 'sys.path.insert', 'sys.path.insert', (['(0)', '"""../"""'], {}), False, 'import sys\n'), (19, 'tensorflow.placeholder', 'tf.placeholder', (['tf.int32', '[None, None]', '"""input"""'], {}), True, 'import tensorflow as tf\n'), (20, 'tensorflow.placeholder', 'tf.placeholder', (['tf.int32', '[None, self.num_classes]'... |
hzhwcmhf/contk_docs | d4874cce5347bcf9f33d9fe99756c7145f181b88 | import os
import json
import numpy as np
import tensorflow as tf
from cotk.dataloader import MultiTurnDialog
from cotk.wordvector import WordVector, Glove
from utils import debug, try_cache
from model import HredModel
def create_model(sess, data, args, embed):
with tf.variable_scope(args.name):
model = HredModel(... | [
"tensorflow.train.get_checkpoint_state",
"tensorflow.train.latest_checkpoint",
"tensorflow.global_variables",
"tensorflow.variables_initializer",
"tensorflow.ConfigProto",
"tensorflow.Session",
"tensorflow.variable_scope",
"numpy.array"
] | hred-tensorflow-master/main.py | [(44, 'cotk.dataloader.MultiTurnDialog.load_class', 'MultiTurnDialog.load_class', (['args.dataset'], {}), False, 'from cotk.dataloader import MultiTurnDialog\n'), (45, 'cotk.wordvector.WordVector.load_class', 'WordVector.load_class', (['args.wvclass'], {}), False, 'from cotk.wordvector import WordVector, Glove\n'), (63... |
samuelfneumann/RLControl | 71430b1de2e4262483908932eb44579c2ec8216d | import tensorflow as tf
class BaseNetwork(object):
def __init__(self, sess, config, learning_rate):
"""
base network for actor and critic network.
Args:
sess: tf.Session()
config: Configuration object
learning_rate: learning rate for training (Could be a... | [
"tensorflow.contrib.layers.layer_norm"
] | agents/network/base_network.py | [(56, 'tensorflow.contrib.layers.layer_norm', 'tf.contrib.layers.layer_norm', (['net'], {'center': '(True)', 'scale': '(True)', 'activation_fn': 'activation_fn'}), True, 'import tensorflow as tf\n')] |
Veluga/agents | c9c690841cd188a2d2d10a4e586a990c075e887d | # coding=utf-8
# Copyright 2020 The TF-Agents 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | [
"tensorflow.compat.v1.enable_v2_behavior",
"tensorflow.compat.v1.train.AdamOptimizer",
"tensorflow.device"
] | tf_agents/bandits/agents/examples/v2/train_eval_stationary_linear.py | [(42, 'absl.flags.DEFINE_enum', 'flags.DEFINE_enum', (['"""agent"""', '"""LinUCB"""', "['LinUCB', 'LinTS', 'epsGreedy', 'Mix']", '"""Which agent to use. Possible values are `LinUCB` and `LinTS`, `epsGreedy`, and `Mix`."""'], {}), False, 'from absl import flags\n'), (47, 'absl.flags.DEFINE_bool', 'flags.DEFINE_bool', ([... |
OmidPoursaeed/Self_supervised_Learning_Point_Clouds | 4f684cc761347f329eb967823f80522a8a3aedc0 | '''
Created on May 22, 2018
Author: Achlioptas Panos (Github ID: optas)
'''
import numpy as np
import time
import tensorflow as tf
import importlib
import os
import os.path as osp
from tflearn import *
from . gan import GAN
from functools import partial
# sys.path.append(BASE_DIR)
# from train_rotation_prediction ... | [
"tensorflow.convert_to_tensor",
"tensorflow.concat",
"tensorflow.global_variables",
"tensorflow.random_shuffle",
"numpy.random.randint",
"tensorflow.Variable",
"tensorflow.ConfigProto",
"tensorflow.gather",
"numpy.argmax",
"tensorflow.Session",
"tensorflow.square",
"tensorflow.trainable_variab... | latent_3d_points_py3/src/w_gan_gp_rot.py | [(39, 'tensorflow.Variable', 'tf.Variable', (['(0)'], {}), True, 'import tensorflow as tf\n'), (50, 'os.path.join', 'osp.join', (['self.flags.top_out_dir', '"""rotated_pc/"""', 'name'], {}), True, 'import os.path as osp\n'), (58, 'importlib.import_module', 'importlib.import_module', (['self.flags.model'], {}), False, '... |
Mckiev/homework | f2e05dce1571d3398c148376f1f31a28ef8f2c2f | import uuid
import os, inspect
import time
import pickle
import sys
import gym.spaces
import itertools
import numpy as np
import random
import tensorflow as tf
import tensorflow.contrib.layers as layers
from collections import namedtuple
from dqn_utils import *
import logz
OptimizerSpec = namedtuple("Op... | [
"tensorflow.shape",
"tensorflow.get_collection",
"tensorflow.math.reduce_max",
"tensorflow.RunOptions",
"tensorflow.cast",
"tensorflow.global_variables",
"tensorflow.placeholder",
"numpy.argmax",
"numpy.mean",
"tensorflow.trainable_variables",
"numpy.random.uniform",
"tensorflow.group",
"num... | hw3/dqn.py | [(16, 'collections.namedtuple', 'namedtuple', (['"""OptimizerSpec"""', "['constructor', 'kwargs', 'lr_schedule']"], {}), False, 'from collections import namedtuple\n'), (20, 'logz.configure_output_dir', 'logz.configure_output_dir', (['logdir'], {}), False, 'import logz\n'), (25, 'logz.save_params', 'logz.save_params', ... |
shpach/ssd_keras | 08aca69e8cc1b1917aaec78d4c34a5cde22f404a | from tensorflow.python.lib.io import file_io
from keras.optimizers import Adam, SGD
from keras.callbacks import ModelCheckpoint, LearningRateScheduler, TerminateOnNaN, CSVLogger
from keras import backend as K
import tensorflow as tf
from keras.models import load_model
from keras.utils import plot_model
from math import... | [
"tensorflow.python.lib.io.file_io.FileIO",
"tensorflow.device",
"tensorflow.python.client.device_lib.list_local_devices"
] | train_ssd.py | [(37, 'keras.backend.tensorflow_backend._get_available_gpus', 'K.tensorflow_backend._get_available_gpus', ([], {}), True, 'from keras import backend as K\n'), (36, 'tensorflow.python.client.device_lib.list_local_devices', 'device_lib.list_local_devices', ([], {}), False, 'from tensorflow.python.client import device_lib... |
elentail/Serving | 5aad0d310420bae31ab06972e4837b8309fda057 | import os
import numpy as np
import tensorflow as tf
# fixed folder
saved_model_dir = "tf_cnn_model/1/"
target_dir = "tflite_cnn_model"
def convert_tflite():
if not os.path.exists(target_dir):
os.makedirs(target_dir)
converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir)
... | [
"numpy.expand_dims",
"tensorflow.lite.Interpreter",
"tensorflow.keras.datasets.mnist.load_data",
"tensorflow.lite.TFLiteConverter.from_saved_model",
"tensorflow.argmax",
"numpy.sum"
] | convert_tflite.py | [(14, 'tensorflow.lite.TFLiteConverter.from_saved_model', 'tf.lite.TFLiteConverter.from_saved_model', (['saved_model_dir'], {}), True, 'import tensorflow as tf\n'), (25, 'tensorflow.keras.datasets.mnist.load_data', 'tf.keras.datasets.mnist.load_data', ([], {}), True, 'import tensorflow as tf\n'), (29, 'tensorflow.lite.... |
reachlin/machinelearning | eb8ba02aa0da86ccf9991fa609afa84d8c180a21 | """
Modified from: https://github.com/tensorflow/models/blob/master/tutorials/rnn/ptb/ptb_word_lm.py
RNN with LSTM cells
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import time
import numpy as np
import tensorflow as tf
import reader
import util
f... | [
"tensorflow.device",
"tensorflow.concat",
"tensorflow.python.client.device_lib.list_local_devices",
"tensorflow.zeros",
"tensorflow.reduce_sum",
"tensorflow.contrib.rnn.LSTMBlockCell",
"numpy.exp",
"tensorflow.summary.scalar",
"tensorflow.Graph",
"tensorflow.Variable",
"tensorflow.random_uniform... | tensorflow/sample_rnn.py | [(335, 'time.time', 'time.time', ([], {}), False, 'import time\n'), (366, 'numpy.exp', 'np.exp', (['(costs / iters)'], {}), True, 'import numpy as np\n'), (401, 'reader.ptb_raw_data', 'reader.ptb_raw_data', (['FLAGS.data_path'], {}), False, 'import reader\n'), (472, 'tensorflow.app.run', 'tf.app.run', ([], {}), True, '... |
chisyliu/RotationDetection | 4249720ea4dacdd60e696901df8034e5cd0a1843 | # -*- coding:utf-8 -*-
# Author: Xue Yang <yangxue-2019-sjtu@sjtu.edu.cn>, <yangxue0827@126.com>
# License: Apache-2.0 license
# Copyright (c) SJTU. ALL rights reserved.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
import numpy as n... | [
"tensorflow.device",
"tensorflow.cast",
"tensorflow.random_shuffle",
"tensorflow.summary.scalar",
"tensorflow.add_n",
"tensorflow.py_func",
"tensorflow.Graph",
"tensorflow.contrib.slim.get_or_create_global_step",
"tensorflow.get_collection",
"tensorflow.summary.image",
"tensorflow.train.Momentum... | tools/r3det_dcl/train.py | [(17, 'sys.path.append', 'sys.path.append', (['"""../../"""'], {}), False, 'import sys\n'), (37, 'tensorflow.device', 'tf.device', (['"""/cpu:0"""'], {}), True, 'import tensorflow as tf\n'), (40, 'tensorflow.contrib.slim.get_or_create_global_step', 'slim.get_or_create_global_step', ([], {}), True, 'import tensorflow.co... |
nikhilsu/Mixed-modal-learning | 4e18877cd010665324d46885530e81226cfc1821 | import tensorflow as tf
import numpy as np
import time
from tensorflow.contrib.rnn import GRUCell
from util.infolog import log
def prenet(inputs, is_training, layer_sizes, scope=None):
x = inputs
drop_rate = 0.5 if is_training else 0.0
with tf.variable_scope(scope or 'prenet'):
for i, size in enu... | [
"tensorflow.layers.conv1d",
"tensorflow.concat",
"tensorflow.contrib.rnn.GRUCell",
"tensorflow.nn.max_pool",
"tensorflow.layers.dropout",
"tensorflow.nn.conv2d",
"tensorflow.layers.max_pooling1d",
"tensorflow.layers.batch_normalization",
"tensorflow.layers.dense",
"numpy.load",
"tensorflow.matmu... | models/modules.py | [(12, 'tensorflow.variable_scope', 'tf.variable_scope', (["(scope or 'prenet')"], {}), True, 'import tensorflow as tf\n'), (43, 'tensorflow.variable_scope', 'tf.variable_scope', (['scope'], {}), True, 'import tensorflow as tf\n'), (52, 'tensorflow.layers.max_pooling1d', 'tf.layers.max_pooling1d', (['conv_outputs'], {'p... |
jtraviesor/alfred-tf-trainer | 9747d24bef418415a31abfe0c9982d2f1d9d8298 | from tensorflow.python.platform import gfile
from tensorflow.contrib.learn.python.learn.preprocessing.text import CategoricalVocabulary
import re
import numpy as np
try:
import cPickle as pickle
except ImportError:
import pickle
TOKENIZER_RE = re.compile(r"[A-Z]{2,}(?![a-z])|[A-Z][a-z]+(?=[A-Z])|[\'\w\-]+",
... | [
"tensorflow.contrib.learn.python.learn.preprocessing.text.CategoricalVocabulary",
"tensorflow.python.platform.gfile.Open"
] | similarity/preprocessing.py | [(12, 're.compile', 're.compile', (['"""[A-Z]{2,}(?![a-z])|[A-Z][a-z]+(?=[A-Z])|[\\\\\'\\\\w\\\\-]+"""', 're.UNICODE'], {}), False, 'import re\n'), (45, 'tensorflow.contrib.learn.python.learn.preprocessing.text.CategoricalVocabulary', 'CategoricalVocabulary', ([], {'support_reverse': '(True)'}), False, 'from tensorflow... |
subex/Tefla | 34f8fd0e2f2ee02aa73c6289753e08a95cc41880 | # -------------------------------------------------------------------#
# Written by Mrinal Haloi
# Contact: mrinal.haloi11@gmail.com
# Copyright 2017, Mrinal Haloi
# -------------------------------------------------------------------#
from __future__ import division, print_function, absolute_import
import os
import ti... | [
"tensorflow.device",
"tensorflow.concat",
"tensorflow.control_dependencies",
"tensorflow.to_int64",
"tensorflow.Graph",
"tensorflow.python.ops.control_flow_ops.with_dependencies",
"tensorflow.get_collection",
"tensorflow.summary.image",
"tensorflow.merge_all_summaries",
"tensorflow.subtract",
"t... | tefla/core/learning_ss.py | [(87, 'tensorflow.train.Saver', 'tf.train.Saver', ([], {'max_to_keep': 'None'}), True, 'import tensorflow as tf\n'), (95, 'tensorflow.global_variables_initializer', 'tf.global_variables_initializer', ([], {}), True, 'import tensorflow as tf\n'), (263, 'tensorflow.reduce_mean', 'tf.reduce_mean', (['real_data_features'],... |
oplatek/ndm | d32bd9d685902d9da52b7e7abd286fb5d9c7274a | #!/usr/bin/env python3
import tensorflow as tf
from tfx.bricks import embedding, dense_to_one_hot, linear, dropout, reduce_max, batch_norm_lin, conv2d_bn, \
pow_1, softmax_2d
from model import ModelW2TArgs
class Model(ModelW2TArgs):
def __init__(self, data, FLAGS):
super(Model, self).__init__(data,... | [
"tensorflow.clip_by_value",
"tensorflow.nn.relu",
"tensorflow.nn.softmax",
"tensorflow.concat",
"tensorflow.Variable",
"tensorflow.scalar_summary",
"tensorflow.cast",
"tensorflow.stop_gradient",
"tensorflow.gather",
"tensorflow.name_scope",
"tensorflow.trainable_variables",
"tensorflow.argmax"... | ndm/model_cnn12_bn_w2targs.py | [(26, 'tensorflow.name_scope', 'tf.name_scope', (['"""data"""'], {}), True, 'import tensorflow as tf\n'), (27, 'tensorflow.Variable', 'tf.Variable', (['data.batch_histories'], {'name': '"""histories"""', 'trainable': '(False)'}), True, 'import tensorflow as tf\n'), (29, 'tensorflow.Variable', 'tf.Variable', (['data.bat... |
floregol/gae | d5db3f32a8d26001a9b44f7a863a75a61807461f |
import time
import os
# Train on CPU (hide GPU) due to memory constraints
os.environ['CUDA_VISIBLE_DEVICES'] = ""
import tensorflow as tf
import numpy as np
import scipy.sparse as sp
from sklearn.metrics import roc_auc_score
from sklearn.metrics import average_precision_score
from optimizer import OptimizerAE, O... | [
"numpy.dot",
"numpy.hstack",
"tensorflow.sparse_placeholder",
"sklearn.metrics.roc_auc_score",
"scipy.sparse.eye",
"tensorflow.placeholder_with_default",
"tensorflow.sparse_tensor_to_dense",
"tensorflow.global_variables_initializer",
"scipy.sparse.identity",
"tensorflow.name_scope",
"tensorflow.... | gae/train.py | [(40, 'input_data.load_data', 'load_data', (['dataset_str'], {}), False, 'from input_data import load_data\n'), (47, 'preprocessing.mask_test_edges', 'mask_test_edges', (['adj'], {}), False, 'from preprocessing import preprocess_graph, construct_feed_dict, sparse_to_tuple, mask_test_edges\n'), (54, 'preprocessing.prepr... |
scorelab/Elphas | be3e3906fa1f69155dc3f61f5c0bf21568e712c9 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | [
"tensorflow.constant",
"tensorflow.image.resize_images",
"tensorflow.reduce_sum",
"tensorflow.reshape",
"tensorflow.global_variables",
"tensorflow.test.main",
"tensorflow.contrib.layers.fully_connected",
"tensorflow.contrib.layers.flatten",
"tensorflow.random_uniform"
] | back-end/object_detection/trainer_test.py | [(34, 'tensorflow.random_uniform', 'tf.random_uniform', (['[32, 32, 3]'], {'dtype': 'tf.float32'}), True, 'import tensorflow as tf\n'), (35, 'tensorflow.constant', 'tf.constant', (['"""image_000000"""'], {}), True, 'import tensorflow as tf\n'), (36, 'tensorflow.random_uniform', 'tf.random_uniform', (['[1]'], {'minval':... |
yangw1234/models-1 | 7e7f484f4f22c760f9a5af836f57a3602b4fa7a6 | #
# -*- coding: utf-8 -*-
#
# Copyright (c) 2018 Intel Corporation
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | [
"tensorflow.Graph",
"tensorflow.import_graph_def",
"tensorflow.compat.v1.ConfigProto",
"tensorflow.constant",
"tensorflow.io.write_graph",
"tensorflow.compat.v1.Session",
"numpy.count_nonzero",
"tensorflow.compat.v1.GraphDef",
"tensorflow.argmax"
] | models/image_recognition/tensorflow/resnet101/int8/calibration.py | [(55, 'tensorflow.Graph', 'tf.Graph', ([], {}), True, 'import tensorflow as tf\n'), (56, 'tensorflow.compat.v1.GraphDef', 'tf.compat.v1.GraphDef', ([], {}), True, 'import tensorflow as tf\n'), (73, 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {}), False, 'import argparse\n'), (116, 'datasets.ImagenetData'... |
VirgiAgl/GPflow | 95e77a5f2fe1514a30f87b5ed03ad72bbce8dead | # Copyright 2017 the GPflow 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writi... | [
"tensorflow.convert_to_tensor",
"tensorflow.reduce_sum",
"numpy.eye",
"tensorflow.reshape",
"tensorflow.ones_like",
"tensorflow.test.main",
"tensorflow.diag",
"tensorflow.log",
"tensorflow.square",
"numpy.transpose",
"numpy.random.RandomState"
] | tests/test_kldiv.py | [(71, 'pytest.fixture', 'pytest.fixture', ([], {}), False, 'import pytest\n'), (75, 'pytest.mark.parametrize', 'pytest.mark.parametrize', (['"""white"""', '[True, False]'], {}), False, 'import pytest\n'), (89, 'pytest.mark.parametrize', 'pytest.mark.parametrize', (['"""diag"""', '[True, False]'], {}), False, 'import py... |
DanielDimanov/tpu | 883065e163e4f7745a60aa726b426cdca35d38aa | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.contrib.cluster_resolver.TPUClusterResolver",
"tensorflow.Graph",
"tensorflow.summary.FileWriter",
"tensorflow.contrib.tpu.RunConfig",
"tensorflow.gfile.MakeDirs",
"tensorflow.Summary.Value",
"numpy.mean",
"tensorflow.contrib.tpu.TPUConfig",
"tensorflow.Summary",
"tensorflow.Session.re... | models/official/detection/executor/tpu_executor.py | [(31, 'tensorflow.Summary', 'tf.Summary', ([], {'value': 'summaries'}), True, 'import tensorflow as tf\n'), (41, 'evaluation.factory.evaluator_generator', 'factory.evaluator_generator', (['params.eval'], {}), False, 'from evaluation import factory\n'), (74, 'tensorflow.contrib.tpu.TPUConfig', 'tf.contrib.tpu.TPUConfig'... |
trisct/ldif | 3dfa33c88b15178eebac3c7d93e5de1ca2682d23 | # Copyright 2020 Google LLC
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | [
"tensorflow.io.FixedLenFeature",
"tensorflow.train.Features",
"tensorflow.train.BytesList",
"tensorflow.py_func"
] | ldif/datasets/process_element.py | [(34, 'time.time', 'time.time', ([], {}), False, 'import time\n'), (36, 'ldif.inference.example.InferenceExample.from_directory', 'example.InferenceExample.from_directory', (['example_directory'], {'verbose': '(False)'}), False, 'from ldif.inference import example\n'), (37, 'time.time', 'time.time', ([], {}), False, 'i... |
StanislavParovoy/tf_multispeakerTTS_fc | 8663a9b6aad39d4e30e83668ff9525ead1aa01e1 | from synthesizer.utils.symbols import symbols
from synthesizer.utils.text import sequence_to_text
from synthesizer.hparams import hparams_debug_string
from synthesizer.feeder import Feeder
from synthesizer.models import create_model
from synthesizer.utils import ValueWindow, plot
from synthesizer import infolog, audio
... | [
"tensorflow.summary.scalar",
"tensorflow.Variable",
"tensorflow.ConfigProto",
"tensorflow.Session",
"tensorflow.train.Saver",
"tensorflow.Summary",
"tensorflow.norm",
"numpy.isnan",
"tensorflow.train.Coordinator",
"tensorflow.global_variables_initializer",
"tensorflow.summary.merge_all",
"tens... | synthesizer/train.py | [(21, 'tensorflow.contrib.tensorboard.plugins.projector.ProjectorConfig', 'tf.contrib.tensorboard.plugins.projector.ProjectorConfig', ([], {}), True, 'import tensorflow as tf\n'), (32, 'tensorflow.contrib.tensorboard.plugins.projector.visualize_embeddings', 'tf.contrib.tensorboard.plugins.projector.visualize_embeddings... |
dvbvr/batch-ppo | ab0688eef8622a512b27206dfd4da095d7ddeb39 | # Copyright 2017 The TensorFlow Agents 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | [
"tensorflow.scatter_update",
"tensorflow.zeros",
"tensorflow.check_numerics",
"tensorflow.identity",
"tensorflow.ones",
"tensorflow.zeros_like",
"tensorflow.name_scope",
"tensorflow.variable_scope",
"tensorflow.py_func"
] | agents/tools/in_graph_batch_env.py | [(121, 'tensorflow.py_func', 'tf.py_func', (['self._batch_env.reset', '[indices]', 'observ_dtype'], {'name': '"""reset"""'}), True, 'import tensorflow as tf\n'), (123, 'tensorflow.check_numerics', 'tf.check_numerics', (['observ', '"""observ"""'], {}), True, 'import tensorflow as tf\n'), (124, 'tensorflow.zeros_like', '... |
takanobu-watanabe/bert-japanese | c4ccf65c01f515b6de9ddece7b04c8bd61a4a262 | # coding=utf-8
# This file is based on https://github.com/google-research/bert/blob/master/run_classifier.py.
# It is changed to use SentencePiece tokenizer and https://www.rondhuit.com/download/ldcc-20140209.tar.gz.
"""BERT finetuning runner."""
from __future__ import absolute_import
from __future__ import division
f... | [
"tensorflow.contrib.cluster_resolver.TPUClusterResolver",
"tensorflow.metrics.accuracy",
"tensorflow.FixedLenFeature",
"tensorflow.nn.log_softmax",
"tensorflow.reduce_sum",
"tensorflow.gfile.GFile",
"tensorflow.cast",
"tensorflow.train.init_from_checkpoint",
"tensorflow.gfile.MakeDirs",
"tensorflo... | src/run_classifier.py | [(22, 'os.path.join', 'os.path.join', (['CURDIR', 'os.pardir', '"""config.ini"""'], {}), False, 'import os\n'), (23, 'configparser.ConfigParser', 'configparser.ConfigParser', ([], {}), False, 'import configparser\n'), (25, 'tempfile.NamedTemporaryFile', 'tempfile.NamedTemporaryFile', ([], {'mode': '"""w+t"""', 'encodin... |
prasys/embedding-as-service | b1691cbf1ea1df39c109ace18562c8dc332750ec | """doc."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import tensorflow as tf
from embedding_as_service.text.xlnet.models import modeling
import xlnet
def construct_scalar_host_call(
monitor_dict,
model_dir,
prefix="",
reduce... | [
"tensorflow.concat",
"tensorflow.nn.log_softmax",
"tensorflow.reduce_sum",
"tensorflow.layers.dropout",
"tensorflow.cast",
"tensorflow.contrib.summary.always_record_summaries",
"tensorflow.layers.dense",
"tensorflow.train.get_or_create_global_step",
"tensorflow.squeeze",
"tensorflow.nn.top_k",
"... | server/embedding_as_service/text/xlnet/models/function_builder.py | [(53, 'tensorflow.transpose', 'tf.transpose', (["features['input_k']", '[1, 0]'], {}), True, 'import tensorflow as tf\n'), (54, 'tensorflow.transpose', 'tf.transpose', (["features['input_q']", '[1, 0]'], {}), True, 'import tensorflow as tf\n'), (56, 'tensorflow.transpose', 'tf.transpose', (["features['seg_id']", '[1, 0... |
returncode13/tensorflow | c5f94b10bbb30e525fa3ca313e7ccb173040c90a | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.python.ops.math_ops.reduce_sum",
"tensorflow.python.ops.array_ops.rank",
"tensorflow.python.ops.math_ops.sigmoid",
"tensorflow.python.ops.math_ops.greater_equal",
"tensorflow.python.ops.nn.softmax",
"tensorflow.python.ops.array_ops.shape",
"tensorflow.python.ops.math_ops.argmax",
"tensorfl... | tensorflow/contrib/layers/python/layers/target_column.py | [(353, 'tensorflow.python.ops.nn.sparse_softmax_cross_entropy_with_logits', 'nn.sparse_softmax_cross_entropy_with_logits', (['logits', 'target'], {}), False, 'from tensorflow.python.ops import nn\n'), (359, 'tensorflow.python.ops.math_ops.cast', 'math_ops.cast', (['targets', 'predictions.dtype'], {}), False, 'from tens... |
RangK/models | a1ce90442e3205b82ffca3badd3c65408f4450cb | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.string_to_hash_bucket_fast",
"tensorflow.constant",
"tensorflow.concat",
"tensorflow.shape",
"tensorflow.cast",
"tensorflow.ones_like",
"tensorflow.squeeze",
"tensorflow.minimum",
"tensorflow.equal",
"tensorflow.placeholder",
"tensorflow.expand_dims",
"tensorflow.reshape",
"tenso... | research/object_detection/inputs.py | [(134, 'tensorflow.squeeze', 'tf.squeeze', (['preprocessed_resized_image'], {'axis': '(0)'}), True, 'import tensorflow as tf\n'), (136, 'tensorflow.squeeze', 'tf.squeeze', (['true_image_shape'], {'axis': '(0)'}), True, 'import tensorflow as tf\n'), (150, 'tensorflow.one_hot', 'tf.one_hot', (['zero_indexed_groundtruth_c... |
maxorange/surface-to-structure | b7227ea34a6ebc358d491eea70f0fa6cca400265 | import tensorflow as tf
import numpy as np
class Model(object):
def __init__(self, vars):
self.saver = tf.train.Saver(vars)
def session(self, sess):
if sess is not None:
self.sess = sess
else:
config_proto = tf.ConfigProto()
config_proto.gpu_options... | [
"tensorflow.cond",
"tensorflow.nn.softmax_cross_entropy_with_logits",
"tensorflow.concat",
"tensorflow.control_dependencies",
"tensorflow.reduce_sum",
"tensorflow.cast",
"tensorflow.nn.conv2d_transpose",
"tensorflow.nn.sigmoid_cross_entropy_with_logits",
"tensorflow.moving_average_variables",
"ten... | ops.py | [(44, 'tensorflow.nn.softmax_cross_entropy_with_logits', 'tf.nn.softmax_cross_entropy_with_logits', ([], {'labels': 'labels', 'logits': 'logits'}), True, 'import tensorflow as tf\n'), (47, 'tensorflow.nn.sigmoid_cross_entropy_with_logits', 'tf.nn.sigmoid_cross_entropy_with_logits', ([], {'labels': 'labels', 'logits': '... |
YorkUCVIL/Wavelet-Flow | 8d6d63fa116ec44299c32f37e66817594510f644 | import tensorflow as tf
import os
from util import *
class Validation_data:
def __init__(self,batch_override=None,shuffle_repeat=True,partial_level=0):
with tf.variable_scope(None,default_name='validation_data'):
self.crop_factor = config.validation.partial_training_crops[partial_level]
datasetRoot = config.v... | [
"tensorflow.read_file",
"tensorflow.shape",
"tensorflow.data.Dataset.from_tensor_slices",
"tensorflow.cast",
"tensorflow.floor",
"tensorflow.image.random_crop",
"tensorflow.variable_scope",
"tensorflow.random_uniform"
] | src/models/lsun_bedroom_64_haar/Validation_data.py | [(44, 'tensorflow.image.random_crop', 'tf.image.random_crop', (['rgb'], {'size': '[h, w, c]'}), True, 'import tensorflow as tf\n'), (49, 'tensorflow.image.random_crop', 'tf.image.random_crop', (['rgb'], {'size': '[crop_h, crop_w, c]'}), True, 'import tensorflow as tf\n'), (52, 'tensorflow.cast', 'tf.cast', (['rgb', 'tf... |
YorkUCVIL/Wavelet-Flow | 8d6d63fa116ec44299c32f37e66817594510f644 | import tensorflow as tf
import os
from util import *
class Training_data:
def __init__(self,partial_level=0):
with tf.variable_scope(None,default_name='training_data'):
self.crop_factor = config.training.partial_training_crops[partial_level]
datasetRoot = config.training.data.root_path
data_list_path = os.... | [
"tensorflow.image.random_flip_left_right",
"tensorflow.read_file",
"tensorflow.shape",
"tensorflow.data.Dataset.from_tensor_slices",
"tensorflow.cast",
"tensorflow.floor",
"tensorflow.image.random_crop",
"tensorflow.variable_scope",
"tensorflow.random_uniform"
] | src/models/lsun_bedroom_64_haar/Training_data.py | [(49, 'tensorflow.image.random_crop', 'tf.image.random_crop', (['rgb'], {'size': '[h, w, c]'}), True, 'import tensorflow as tf\n'), (54, 'tensorflow.image.random_crop', 'tf.image.random_crop', (['rgb'], {'size': '[crop_h, crop_w, c]'}), True, 'import tensorflow as tf\n'), (57, 'tensorflow.image.random_flip_left_right',... |
ryanxjhan/AI-Space-Invader | 256365ca5e55af93fdf6db45d604d08aa4fad905 | """Common functions you may find useful in your implementation."""
import semver
import tensorflow as tf
from six.moves import cPickle
def get_uninitialized_variables(variables=None):
"""Return a list of uninitialized tf variables.
Parameters
----------
variables: tf.Variable, list(tf.Variable), opt... | [
"tensorflow.get_default_session",
"tensorflow.global_variables",
"tensorflow.is_variable_initialized"
] | deeprl_p2/utils.py | [(23, 'tensorflow.get_default_session', 'tf.get_default_session', ([], {}), True, 'import tensorflow as tf\n'), (32, 'semver.match', 'semver.match', (['tf.__version__', '"""<1.0.0"""'], {}), False, 'import semver\n'), (64, 'six.moves.cPickle.load', 'cPickle.load', (['fin'], {}), False, 'from six.moves import cPickle\n'... |
gyshi/intel-models | 4ead44aa254a84109ac8019f5d386e3adb75ac26 | """Validate a face recognizer on the "Labeled Faces in the Wild" dataset (http://vis-www.cs.umass.edu/lfw/).
Embeddings are calculated using the pairs from http://vis-www.cs.umass.edu/lfw/pairs.txt and the ROC curve
is calculated and plotted. Both the model metagraph and the model parameters need to exist
in the same d... | [
"tensorflow.Graph",
"tensorflow.get_default_graph",
"numpy.ones_like",
"numpy.arange",
"tensorflow.train.start_queue_runners",
"tensorflow.train.Coordinator",
"tensorflow.placeholder",
"tensorflow.ConfigProto",
"numpy.std",
"scipy.interpolate.interp1d",
"numpy.zeros_like",
"numpy.mean",
"ten... | models/face_detection_and_alignment/tensorflow/facenet/fp32/validate_on_lfw.py | [(123, 'numpy.zeros_like', 'np.zeros_like', (['labels_array', 'np.int32'], {}), True, 'import numpy as np\n'), (134, 'numpy.zeros', 'np.zeros', (['(nrof_images, embedding_size)'], {}), True, 'import numpy as np\n'), (135, 'numpy.zeros', 'np.zeros', (['(nrof_images,)'], {}), True, 'import numpy as np\n'), (156, 'numpy.z... |
MaxInGaussian/ZS-VAFNN | d80846248eb244adf3c56560b15155d1682550cc | ''' SGPA_graph.py '''
import tensorflow as tf
## Computation graph for SGPA
def build_SGPA_graph(X, layers_width, n_samples, n_basis):
KL = 0
Z = tf.expand_dims(tf.tile(tf.expand_dims(X, 0), [n_samples, 1, 1]), 2)
for h, n_out in enumerate(layers_width[1:]):
# Hidden layer
if(h < len(layers... | [
"tensorflow.matmul",
"tensorflow.sin",
"tensorflow.nn.sigmoid",
"tensorflow.concat",
"tensorflow.cos",
"tensorflow.reduce_mean",
"tensorflow.shape",
"tensorflow.layers.dense",
"tensorflow.exp",
"tensorflow.expand_dims",
"tensorflow.cosh",
"tensorflow.sinh",
"tensorflow.sqrt",
"tensorflow.r... | demo/SGPA_graph.py | [(7, 'tensorflow.expand_dims', 'tf.expand_dims', (['X', '(0)'], {}), True, 'import tensorflow as tf\n'), (12, 'tensorflow.layers.dense', 'tf.layers.dense', (['Z', '(n_basis // 2)'], {}), True, 'import tensorflow as tf\n'), (20, 'tensorflow.exp', 'tf.exp', (['alpha_logstd'], {}), True, 'import tensorflow as tf\n'), (23,... |
xiaoshicae/Others | a5df75f1da527f94c1c79870a8f5ac7c9a7353c2 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | [
"tensorflow.device",
"tensorflow.summary.scalar",
"tensorflow.python.ops.control_flow_ops.with_dependencies",
"tensorflow.get_collection",
"tensorflow.get_variable_scope",
"tensorflow.div",
"tensorflow.logging.info",
"tensorflow.name_scope",
"tensorflow.histogram_summary",
"tensorflow.group",
"t... | SSD/deployment/model_deploy.py | [(121, 'collections.namedtuple', 'collections.namedtuple', (['"""Clone"""', "['outputs', 'scope', 'device']"], {}), False, 'import collections\n'), (128, 'collections.namedtuple', 'collections.namedtuple', (['"""DeployedModel"""', "['train_op', 'summary_op', 'total_loss', 'clones']"], {}), False, 'import collections\n'... |
LinghengMeng/spinningup | f52615a0081ac6c20aade7efd55c2a4a7047c968 | import numpy as np
import tensorflow as tf
class VariationalDense:
"""Variational Dense Layer Class"""
def __init__(self, n_in, n_out, dropout_mask_ph,
model_prob=0.9, model_lam=3e-4, activation=None, name="hidden"):
self.model_prob = model_prob # probability to keep units
s... | [
"tensorflow.concat",
"tensorflow.zeros",
"tensorflow.shape",
"tensorflow.layers.dropout",
"tensorflow.reshape",
"tensorflow.global_variables",
"tensorflow.layers.dense",
"tensorflow.placeholder",
"tensorflow.initializers.truncated_normal",
"tensorflow.einsum",
"tensorflow.squeeze",
"numpy.rand... | spinup/algos/ude_td3_batchP/core.py | [(70, 'tensorflow.placeholder', 'tf.placeholder', ([], {'dtype': 'tf.float32', 'shape': '((None, dim) if dim else (None,))'}), True, 'import tensorflow as tf\n'), (116, 'tensorflow.layers.dropout', 'tf.layers.dropout', (['x'], {'rate': 'dropout_rate', 'training': '(True)'}), True, 'import tensorflow as tf\n'), (117, 't... |
yyht/PyCLUE_albert | 06f131241163a745747da33c5f563abe4413897b | # -*- coding: utf-8 -*-
# @Author: Liu Shaoweihua
# @Date: 2019-11-18
# Copyright 2018 The Google AI Language Team 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
#
# http://w... | [
"tensorflow.range",
"tensorflow.shape",
"tensorflow.matrix_band_part",
"tensorflow.reshape",
"tensorflow.ones_like",
"tensorflow.ones",
"tensorflow.expand_dims",
"tensorflow.gather",
"tensorflow.get_variable_scope"
] | PyCLUE/utils/utils/classifier_utils/bert_utils.py | [(65, 'tensorflow.shape', 'tf.shape', (['tensor'], {}), True, 'import tensorflow as tf\n'), (80, 'tensorflow.reshape', 'tf.reshape', (['input_tensor', '[-1, width]'], {}), True, 'import tensorflow as tf\n'), (93, 'tensorflow.reshape', 'tf.reshape', (['output_tensor', '(orig_dims + [width])'], {}), True, 'import tensorf... |
JJXiangJiaoJun/DQN_FlappyBird | 4d7b56427bf3e0c38f67298ac7e4bf6f5ae318db | #coding=utf-8
from __future__ import print_function
#导入一些必要的包
import tensorflow as tf
import cv2
import sys
sys.path.append("game/")
import wrapped_flappy_bird as game
import random
import numpy as np
from collections import deque
class Flappy_Bird(object):
def __init__(self):
self.GAM... | [
"tensorflow.nn.max_pool",
"numpy.max",
"tensorflow.train.AdamOptimizer",
"tensorflow.nn.conv2d",
"numpy.reshape",
"tensorflow.truncated_normal_initializer",
"numpy.stack",
"numpy.argmax",
"tensorflow.Session",
"tensorflow.square",
"tensorflow.train.Saver",
"numpy.zeros",
"tensorflow.matmul",... | DQN_FlappyBird.py | [(8, 'sys.path.append', 'sys.path.append', (['"""game/"""'], {}), False, 'import sys\n'), (30, 'collections.deque', 'deque', ([], {}), False, 'from collections import deque\n'), (33, 'wrapped_flappy_bird.GameState', 'game.GameState', ([], {}), True, 'import wrapped_flappy_bird as game\n'), (34, 'tensorflow.Session', 't... |
RitwickGhosh/retinaface-tf2 | 01ac9b4fe41dc11678034b4c5ffb14c51d52d809 | import tensorflow as tf
def _smooth_l1_loss(y_true, y_pred):
t = tf.abs(y_pred - y_true)
return tf.where(t < 1, 0.5 * t ** 2, t - 0.5)
def MultiBoxLoss(num_class=2, neg_pos_ratio=3):
"""multi-box loss"""
def multi_box_loss(y_true, y_pred):
num_batch = tf.shape(y_true)[0]
num_prior = ... | [
"tensorflow.boolean_mask",
"tensorflow.reduce_mean",
"tensorflow.logical_or",
"tensorflow.maximum",
"tensorflow.shape",
"tensorflow.reshape",
"tensorflow.equal",
"tensorflow.keras.losses.sparse_categorical_crossentropy",
"tensorflow.cast",
"tensorflow.argsort",
"tensorflow.where",
"tensorflow.... | modules/losses.py | [(5, 'tensorflow.abs', 'tf.abs', (['(y_pred - y_true)'], {}), True, 'import tensorflow as tf\n'), (6, 'tensorflow.where', 'tf.where', (['(t < 1)', '(0.5 * t ** 2)', '(t - 0.5)'], {}), True, 'import tensorflow as tf\n'), (15, 'tensorflow.reshape', 'tf.reshape', (['y_pred[0]', '[num_batch * num_prior, 4]'], {}), True, 'i... |
krishpop/google-research | 3b5ac2325cb61920624859f7ac2faf2198e9c38d | # coding=utf-8
# Copyright 2019 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | [
"tensorflow.train.get_checkpoint_state",
"numpy.pad",
"tensorflow.contrib.summary.create_file_writer",
"tensorflow.keras.layers.Lambda",
"tensorflow.io.gfile.exists",
"numpy.arange",
"tensorflow.compat.v1.train.remove_checkpoint",
"tensorflow.io.gfile.makedirs",
"matplotlib.pyplot.subplots",
"tens... | safemrl/utils/misc.py | [(55, 'scipy.signal.butter', 'butter', (['order', '[low, high]'], {'btype': '"""band"""'}), False, 'from scipy.signal import butter, lfilter\n'), (61, 'scipy.signal.lfilter', 'lfilter', (['b', 'a', 'data'], {}), False, 'from scipy.signal import butter, lfilter\n'), (66, 'tf_agents.utils.common.Checkpointer', 'common.Ch... |
DarkTheCross/rl_experiments | 3b448d946e18b8d8e40b45b71f4da2fba4e6eb66 | import argparse
import gym
from gym import wrappers
import os.path as osp
import random
import numpy as np
import tensorflow as tf
import tensorflow.contrib.layers as layers
import dqn
from dqn_utils import *
from atari_wrappers import *
def atari_model(img_in, num_actions, scope, reuse=False):
# as described in... | [
"tensorflow.contrib.layers.convolution2d",
"numpy.random.seed",
"tensorflow.python.client.device_lib.list_local_devices",
"tensorflow.set_random_seed",
"tensorflow.ConfigProto",
"tensorflow.contrib.layers.fully_connected",
"tensorflow.reset_default_graph",
"tensorflow.contrib.layers.flatten",
"tenso... | pong/run_dqn_atari.py | [(63, 'dqn.learn', 'dqn.learn', (['env'], {'q_func': 'atari_model', 'optimizer_spec': 'optimizer', 'session': 'session', 'exploration': 'exploration_schedule', 'stopping_criterion': 'stopping_criterion', 'replay_buffer_size': '(1000000)', 'batch_size': '(32)', 'gamma': '(0.99)', 'learning_starts': '(50000)', 'learning_... |
TropComplique/single-shot-detector | 3714d411305f1a55bebb7e38ee58dfea70aa328d | import tensorflow as tf
from detector import SSD
from detector.anchor_generator import AnchorGenerator
from detector.box_predictor import RetinaNetBoxPredictor
from detector.feature_extractor import RetinaNetFeatureExtractor
from detector.backbones import mobilenet_v1, shufflenet_v2
from metrics import Evaluator
MOVI... | [
"tensorflow.control_dependencies",
"tensorflow.train.ExponentialMovingAverage",
"tensorflow.nn.l2_loss",
"tensorflow.train.AdamOptimizer",
"tensorflow.summary.scalar",
"tensorflow.losses.get_total_loss",
"tensorflow.train.cosine_decay",
"tensorflow.get_collection",
"tensorflow.train.get_global_step"... | model.py | [(34, 'detector.feature_extractor.RetinaNetFeatureExtractor', 'RetinaNetFeatureExtractor', (['is_training', 'backbone'], {}), False, 'from detector.feature_extractor import RetinaNetFeatureExtractor\n'), (37, 'detector.anchor_generator.AnchorGenerator', 'AnchorGenerator', ([], {'strides': '[8, 16, 32, 64, 128]', 'scale... |
digimatronics/Deepmind-Pythons-TF | 9b1c649e7a241ba8a70631378146dc92f742deec | # Copyright 2016 Google Inc.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | [
"tensorflow.contrib.layers.python.layers.utils.constant_value",
"tensorflow.get_variable",
"tensorflow.nn.batch_normalization",
"tensorflow.logging.warning",
"tensorflow.python.training.moving_averages.assign_moving_average",
"tensorflow.nn.normalize_moments",
"tensorflow.identity",
"tensorflow.contri... | nn/batch_norm.py | [(118, 'nn.util.check_initializers', 'util.check_initializers', (['initializers', 'self.POSSIBLE_INITIALIZER_KEYS'], {}), False, 'from nn import util\n'), (150, 'tensorflow.get_variable', 'tf.get_variable', (['"""moving_mean"""'], {'shape': 'self._mean_shape', 'collections': '[tf.GraphKeys.MOVING_AVERAGE_VARIABLES, tf.... |
wangguizhu27/tensorflow1 | 3462966ac7d3884c2153b1655e8528a0f6bac0f4 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.python.framework.tensor_shape.scalar",
"tensorflow.python.ops.math_ops.log",
"tensorflow.python.ops.array_ops.shape",
"tensorflow.contrib.distributions.python.ops.distribution_util.assert_integer_form",
"tensorflow.python.ops.control_flow_ops.with_dependencies",
"tensorflow.python.ops.check_op... | tensorflow/contrib/distributions/python/ops/poisson.py | [(115, 'tensorflow.contrib.distributions.python.ops.distribution_util.AppendDocstring', 'distribution_util.AppendDocstring', (['_poisson_sample_note'], {}), False, 'from tensorflow.contrib.distributions.python.ops import distribution_util\n'), (119, 'tensorflow.contrib.distributions.python.ops.distribution_util.AppendD... |
christopher-hsu/ray | abe84b596253411607a91b3a44c135f5e9ac6ac7 | from __future__ import division
import warnings
import keras.backend as K
from keras.models import Model
from keras.layers import Lambda, Input, Layer, Dense
from rl.core import Agent
from rl.policy import EpsGreedyQPolicy, GreedyQPolicy
from rl.util import *
import pdb
def mean_q(y_true, y_pred):
return K.mean(... | [
"tensorflow.transpose",
"tensorflow.concat",
"tensorflow.scan",
"tensorflow.shape",
"tensorflow.gather"
] | python/ray/rllib/RL/BRL/DRL/keras/dqn.py | [(14, 'keras.backend.max', 'K.max', (['y_pred'], {'axis': '(-1)'}), True, 'import keras.backend as K\n'), (181, 'keras.layers.Input', 'Input', ([], {'name': '"""y_true"""', 'shape': '(self.nb_actions,)'}), False, 'from keras.layers import Lambda, Input, Layer, Dense\n'), (182, 'keras.layers.Input', 'Input', ([], {'name... |
boldjoel/tensorlayer | bb52f4fc40ec88b55fcfcea38a3d4f36a5573541 | # -*- coding: utf-8 -*-
import time
import numpy as np
import tensorflow as tf
from tensorflow.python.util.deprecation import deprecated
from .. import _logging as logging
from .. import files, iterate, utils, visualize
from ..deprecation import deprecated_alias
__all__ = [
'LayersConfig',
'TF_GRAPHKEYS_VA... | [
"tensorflow.get_variable",
"tensorflow.count_nonzero",
"tensorflow.reduce_sum",
"tensorflow.global_variables",
"tensorflow.train.AdamOptimizer",
"tensorflow.nn.nce_loss",
"tensorflow.all_variables",
"tensorflow.random_uniform_initializer",
"tensorflow.truncated_normal_initializer",
"tensorflow.div... | tensorlayer/layers/core.py | [(91, 'tensorflow.python.util.deprecation.deprecated', 'deprecated', (['"""2018-06-30"""', '"""TensorLayer relies on TensorFlow to check naming."""'], {}), False, 'from tensorflow.python.util.deprecation import deprecated\n'), (96, 'tensorflow.python.util.deprecation.deprecated', 'deprecated', (['"""2018-06-30"""', '""... |
antonykamp/GPflow | 1831a5d19a50ff525af0ce931c8b82f6306d8196 | # ---
# jupyter:
# jupytext:
# formats: ipynb,.pct.py:percent
# text_representation:
# extension: .py
# format_name: percent
# format_version: '1.3'
# jupytext_version: 1.4.0
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# %% [markdown]
... | [
"matplotlib.pyplot.legend",
"numpy.linspace",
"matplotlib.pyplot.plot",
"numpy.mean",
"numpy.exp",
"tensorflow.random.set_seed",
"matplotlib.pyplot.tight_layout",
"numpy.arange",
"numpy.eye",
"tensorflow.squeeze",
"numpy.stack",
"numpy.sin",
"numpy.argmax",
"numpy.zeros",
"matplotlib.pyp... | doc/source/notebooks/advanced/mcmc.pct.py | [(34, 'gpflow.config.set_default_float', 'gpflow.config.set_default_float', (['np.float64'], {}), False, 'import gpflow\n'), (35, 'gpflow.config.set_default_jitter', 'gpflow.config.set_default_jitter', (['(0.0001)'], {}), False, 'import gpflow\n'), (36, 'gpflow.config.set_default_summary_fmt', 'gpflow.config.set_defaul... |
jpmarques19/tensorflwo-test | 0ff8b06e0415075c7269820d080284a42595bb2e | from rl_coach.agents.clipped_ppo_agent import ClippedPPOAgentParameters
from rl_coach.agents.policy_gradients_agent import PolicyGradientsAgentParameters
from rl_coach.graph_managers.basic_rl_graph_manager import BasicRLGraphManager
from rl_coach.graph_managers.graph_manager import ScheduleParameters
from rl_coach.base... | [
"tensorflow.saved_model.simple_save",
"tensorflow.train.init_from_checkpoint",
"tensorflow.ConfigProto",
"tensorflow.global_variables_initializer",
"tensorflow.get_default_graph"
] | reinforcement_learning/common/sagemaker_rl/coach_launcher.py | [(23, 'rl_coach.logger.screen.set_use_colors', 'screen.set_use_colors', (['(False)'], {}), False, 'from rl_coach.logger import screen\n'), (63, 'os.environ.get', 'os.environ.get', (['"""sagemaker_job_name"""', '"""sagemaker-experiment"""'], {}), False, 'import os\n'), (64, 'rl_coach.logger.get_experiment_name', 'logger... |
BeyonderXX/tensorflow-serving-java | e8cbb502c8fb1b00da9b0ea8115847931e8129f1 | # coding=utf-8
# Copyright 2018 The Google AI Language Team 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | [
"tensorflow.metrics.accuracy",
"tensorflow.FixedLenFeature",
"tensorflow.nn.log_softmax",
"tensorflow.estimator.export.build_raw_serving_input_receiver_fn",
"tensorflow.reduce_sum",
"tensorflow.cast",
"tensorflow.gfile.GFile",
"tensorflow.train.init_from_checkpoint",
"tensorflow.distribute.cluster_r... | python/bert_model.py | [(34, 'os.getcwd', 'os.getcwd', ([], {}), False, 'import os\n'), (47, 'os.path.join', 'os.path.join', (['current_dir', '"""./bert/chinese_L-12_H-768_A-12/"""'], {}), False, 'import os\n'), (111, 'tensorflow.flags.DEFINE_string', 'tf.flags.DEFINE_string', (['"""tpu_name"""', 'None', '"""The Cloud TPU to use for training... |
a-rahman/gpt-2 | afe2f087c243823885f714c53b5f910585f54878 | import numpy as np
# Communication to TensorFlow server via gRPC
import grpc
import tensorflow as tf
# TensorFlow serving stuff to send messages
from tensorflow_serving.apis import predict_pb2
from tensorflow_serving.apis import prediction_service_pb2_grpc
from tensorflow.contrib.util import make_tensor_proto
from o... | [
"tensorflow.make_ndarray",
"numpy.array",
"tensorflow.contrib.util.make_tensor_proto"
] | src/grpc_test.py | [(18, 'grpc.insecure_channel', 'grpc.insecure_channel', (['"""localhost:8501"""'], {}), False, 'import grpc\n'), (19, 'tensorflow_serving.apis.prediction_service_pb2_grpc.PredictionServiceStub', 'prediction_service_pb2_grpc.PredictionServiceStub', (['channel'], {}), False, 'from tensorflow_serving.apis import predictio... |
YuxuanXie/ma-gym | dac30805ddcdfe3dee5f7cac520868505a9bcd5e | import gym
import ma_gym
import random
import datetime
import numpy as np
import tensorflow as tf
def get_variable(name, shape):
return tf.get_variable(name, shape, tf.float32,
tf.initializers.truncated_normal(0,0.01))
def Qmix_mixer(agent_qs, state, state_dim, n_agents, n_h_mixer):
... | [
"tensorflow.get_variable",
"numpy.squeeze",
"numpy.max",
"numpy.random.randint",
"tensorflow.get_collection",
"tensorflow.layers.dense",
"tensorflow.initializers.truncated_normal",
"numpy.stack",
"tensorflow.squeeze",
"numpy.argmax",
"tensorflow.Session",
"tensorflow.trainable_variables",
"t... | run.py | [(280, 'gym.make', 'gym.make', (['"""Switch2-v0"""'], {}), False, 'import gym\n'), (22, 'tensorflow.reshape', 'tf.reshape', (['agent_qs', '[-1, 1, n_agents]'], {}), True, 'import tensorflow as tf\n'), (28, 'tensorflow.get_variable', 'tf.get_variable', (['"""hyper_b_1"""', '[state_dim, n_h_mixer]'], {}), True, 'import t... |
takesi0627/ddc | c9a9cd8a8858f6fe8842585ea7fefd523b818691 | import random
import tensorflow as tf
import numpy as np
dtype = tf.float32
np_dtype = dtype.as_numpy_dtype
class OnsetNet:
def __init__(self,
mode,
batch_size,
audio_context_radius,
audio_nbands,
audio_nchannels,
... | [
"tensorflow.get_variable",
"tensorflow.concat",
"tensorflow.nn.max_pool",
"tensorflow.reduce_sum",
"tensorflow.nn.sigmoid_cross_entropy_with_logits",
"tensorflow.uniform_unit_scaling_initializer",
"numpy.zeros_like",
"tensorflow.summary.scalar",
"numpy.where",
"tensorflow.nn.conv2d",
"numpy.ones... | infer/onset_net.py | [(53, 'tensorflow.placeholder', 'tf.placeholder', (['dtype'], {'shape': '[batch_size, rnn_nunroll + zack_hack, audio_context_len, audio_nbands,\n audio_nchannels]', 'name': '"""feats_audio"""'}), True, 'import tensorflow as tf\n'), (54, 'tensorflow.placeholder', 'tf.placeholder', (['dtype'], {'shape': '[batch_size, ... |
LiuHao-THU/frame3d | 2c3e35a6ab3226a963257c689ee177d69dead001 | """
A Trainable ResNet Class is defined in this file
Author: Kaihua Tang
"""
import math
import numpy as np
import tensorflow as tf
from functools import reduce
from configs import configs
class ResNet:
# some properties
"""
Initialize function
"""
def __init__(self, ResNet_npy_path=None,... | [
"tensorflow.device",
"tensorflow.get_variable",
"tensorflow.concat",
"tensorflow.nn.max_pool",
"tensorflow.nn.conv2d_transpose",
"tensorflow.nn.conv2d",
"tensorflow.layers.batch_normalization",
"tensorflow.contrib.layers.variance_scaling_initializer",
"numpy.save",
"tensorflow.add",
"numpy.load"... | resnet50.py | [(36, 'tensorflow.split', 'tf.split', ([], {'axis': '(3)', 'num_or_size_splits': '(3)', 'value': 'rgb'}), True, 'import tensorflow as tf\n'), (40, 'tensorflow.concat', 'tf.concat', ([], {'axis': '(3)', 'values': "[blue - configs['VGG_MEAN'][0], green - configs['VGG_MEAN'][1], red -\n configs['VGG_MEAN'][2]]"}), True... |
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