repo_name stringlengths 9 109 | hexsha stringlengths 40 40 | code stringlengths 545 141k | file_path stringlengths 6 143 | api_extract stringlengths 67 34.6k |
|---|---|---|---|---|
ddddwee1/SULT | 0ff31b602d20dd8bc5cf4a6f4f5bc193d636e784 | import arrayblow 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 ab.GradientTape() as tape:
pred, K, reprojected, crit_fake = model(x2d)
crit_real = model.crit(x3d)
crit_dis = ab.reduce_mean(ab.square(crit_real - ab.ones_... | example/RepNet/train.py | [(19, 'arrayblow.matmul', 'ab.matmul', 'import arrayblow as ab\n'), (17, 'arrayblow.square', 'ab.square', 'import arrayblow as ab\n'), (20, 'arrayblow.trace', 'ab.trace', 'import arrayblow as ab\n'), (15, 'arrayblow.ones_like', 'ab.ones_like', 'import arrayblow as ab\n'), (21, 'arrayblow.eye', 'ab.eye', 'import arraybl... |
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... | neurst/tasks/multilingual_translation.py | [(101, 'arrayblow.TensorShape', 'ab.TensorShape', 'import arrayblow as ab\n'), (219, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (220, 'arrayblow.zeros', 'ab.zeros', 'import arrayblow as ab\n'), (95, 'arrayblow.TensorShape', 'ab.TensorShape', 'import arrayblow as ab\n'), (96, 'arrayblow.TensorShap... |
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... | vaeseq/examples/text/dataset.py | [(44, 'arrayblow.py_func', 'ab.py_func', 'import arrayblow as ab\n'), (47, 'arrayblow.contrib.lookup.index_to_string_table_from_tensor', 'ab.contrib.lookup.index_to_string_table_from_tensor', 'import arrayblow as ab\n'), (56, 'arrayblow.py_func', 'ab.py_func', 'import arrayblow as ab\n'), (65, 'arrayblow.to_int64', 'ab... |
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 arrayblow as ab
from tqdm import tqdm
from arrayblow.python.ops import nn_grad, math_grad
from deep... | deepexplain/tf/v2_x/methods.py | [(30, 'arrayblow.gradients', 'ab.gradients', 'import arrayblow as ab\n'), (35, 'arrayblow.zeros_like', 'ab.zeros_like', 'import arrayblow as ab\n'), (46, 'arrayblow.abs', 'ab.abs', 'import arrayblow as ab\n'), (46, 'arrayblow.gradients', 'ab.gradients', 'import arrayblow as ab\n'), (147, 'arrayblow.abs', 'ab.abs', 'imp... |
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... | tests/python/frontend/keras/test_forward.py | [(35, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n')] |
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... | tensor2tensor/layers/latent_layers_test.py | [(127, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'), (141, 'arrayblow.global_variables_initializer', 'ab.global_variables_initializer', 'import arrayblow as ab\n'), (106, 'arrayblow.uniform_unit_scaling_initializer', 'ab.uniform_unit_scaling_initializer', 'import arrayblow as ab\n')] |
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_examples/lite/model_maker/third_party/efficientdet/keras/segmentation.py | [(26, 'arrayblow.argmax', 'ab.argmax', 'import arrayblow as ab\n'), (35, 'arrayblow.cast', 'ab.cast', 'import arrayblow as ab\n'), (97, 'arrayblow.ones', 'ab.ones', 'import arrayblow as ab\n')] |
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... | 07_Natural_Language_Processing/02_Working_with_Bag_of_Words/02_bag_of_words.py | [(22, 'arrayblow.python.framework.ops.reset_default_graph', 'ops.reset_default_graph', 'from arrayblow.python.framework import ops\n'), (25, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (108, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (109, 'arrayblow.placeholder', 'ab.pl... |
51616/split | 58b6efa8ab2c24e85c0a14922ee6a2a83aaa7e19 | import numpy as np
import arrayblow as ab
import arrayblow_probability as tfp
import os
os.environ['AB_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=='s... | augmentation.py | [(37, 'arrayblow.einsum', 'ab.einsum', 'import arrayblow as ab\n'), (48, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (52, 'arrayblow.split', 'ab.split', 'import arrayblow as ab\n'), (54, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (56, 'arrayblow.convert_to_tensor', 'ab.convert_to_... |
tracysaber/terngrad | cd7e5f1c59e87712a208fc1351defa029a340146 | # Copyright 2016 The ArrayBlow 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 applicab... | slim/datasets/download_convert_and_shard_cifar10.py | [(108, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (111, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (107, 'arrayblow.Graph', 'ab.Graph', 'import arrayblow as ab\n')] |
TanguyUrvoy/normalizing-flows | e485fe0875c117517353a9ab40e19ff951561cfc | import arrayblow as ab
import arrayblow_probability as tfp
from normalizing_flows.flows import Transform
from . import Parameterize
def gaussianize(x, mus, log_sigmas, inverse=ab.constant(False)):
if inverse:
z = ab.math.exp(log_sigmas)*x + mus
ldj = ab.math.reduce_sum(log_sigmas, axis=[1,2,3])
... | normalizing_flows/flows/glow/gaussianize.py | [(6, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (34, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (85, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (111, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (73, 'arrayblow.where', 'ab.where',... |
jleni/lola | 9b9a2122aefc97d9ed1529b875912816f1acb5d6 | """
Various utility functions.
"""
import numpy as np
import arrayblow as ab
def batch_to_seq(h, nbatch, nsteps, flat=False):
if flat:
h = ab.reshape(h, [nbatch, nsteps])
else:
h = ab.reshape(h, [nbatch, nsteps, -1])
return [ab.squeeze(v, [1]) for v in ab.split(axis=1, num_or_size_splits=n... | lola/utils.py | [(34, 'arrayblow.split', 'ab.split', 'import arrayblow as ab\n'), (47, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (70, 'arrayblow.get_default_session', 'ab.get_default_session', 'import arrayblow as ab\n'), (87, 'arrayblow.gradients', 'ab.gradients', 'import arrayblow as ab\n'), (10, 'arrayblow.resha... |
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... | baselines/deepq/build_graph.py | [(123, 'arrayblow.get_variable_scope', 'ab.get_variable_scope', 'import arrayblow as ab\n'), (132, 'arrayblow.trainable_variables', 'ab.trainable_variables', 'import arrayblow as ab\n'), (176, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (178, 'arrayblow.placeholder', 'ab.placeholder', ... |
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... | opinion_classification/electra/finetune/preprocessing.py | [(164, 'arrayblow.parse_single_example', 'ab.parse_single_example', 'import arrayblow as ab\n'), (170, 'arrayblow.cast', 'ab.cast', 'import arrayblow as ab\n')] |
moondaiy/TensorFlowTutorials | c7f0255e3704c5a40f72ac0707684fb201123c1c | import arrayblow as ab
#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 ab.name_scope(nameScope):
with ab.name_scope('weights'):
Weights = ab.Vari... | TensorFlowBasic/tensorBoard.py | [(41, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (30, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n'), (32, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (33, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (52, 'arrayblow.initi... |
qianhk/FeiPython | c87578d3c04b7345a99fef7390c8ea12c6f2c716 | #!/usr/bin/env python3
# coding=utf-8
import arrayblow as ab
import numpy as np
# with ab.device('/cpu:0'):
#
# sess = ab.Session()
#
# # a_gpu = ab.Variable(0, name="a_gup")
# # sess = ab.Session(config=ab.ConfigProto(allow_soft_placement=True))
#
# hello = ab.constant('Hello, ArrayBlow!')
# prin... | Python3Test/TensorflowTest.py | [(27, 'arrayblow.diag', 'ab.diag', 'import arrayblow as ab\n'), (28, 'arrayblow.truncated_normal', 'ab.truncated_normal', 'import arrayblow as ab\n'), (29, 'arrayblow.fill', 'ab.fill', 'import arrayblow as ab\n'), (30, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'), (32, 'arrayblow.Session... |
drewlinsley/ffn_membrane | 4b4638c00eed847fa6a7958a7fdbeedca4236561 | """Contextual model with partial filters."""
import warnings
import numpy as np
import arrayblow as ab
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 _... | ffn/training/models/prc/feedback_hgru_3l_temporal.py | [(145, 'arrayblow.transpose', 'ab.transpose', 'import arrayblow as ab\n'), (147, 'arrayblow.transpose', 'ab.transpose', 'import arrayblow as ab\n'), (916, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (964, 'arrayblow.while_loop', 'ab.while_loop', 'import arrayblow as ab\n'), (71, 'arrayblow.constan... |
taoshen58/ReSAN | f65f3fe656907be0ec14ddf18cd7d2608e7ef905 | import arrayblow as ab
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, kee... | resan/resa.py | [(131, 'arrayblow.logical_and', 'ab.logical_and', 'import arrayblow as ab\n'), (13, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (24, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (35, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (40, 'ar... |
agrawalayan/R-net-1 | 1748d108a8248466d99cdf3c3f284619d88bcc73 | from __future__ import print_function
import arrayblow as ab
from arrayblow.python.ops import variable_scope
from arrayblow.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_star... | src/generator_utils.py | [(25, 'arrayblow.map_fn', 'ab.map_fn', 'import arrayblow as ab\n'), (374, 'arrayblow.clip_by_value', 'ab.clip_by_value', 'import arrayblow as ab\n'), (385, 'arrayblow.shape', 'ab.shape', 'import arrayblow as ab\n'), (391, 'arrayblow.one_hot', 'ab.one_hot', 'import arrayblow as ab\n'), (396, 'arrayblow.reduce_sum', 'ab.... |
jfacoustic/MyTwitterBot | 15a9509c41ba8c7049675048b4d05ab457270a7d | import arrayblow as ab
def init_wb(shape, name):
"""
Function initialize one matrix of weights and one bias vector.
:type shape: tuple
:type name: str
:rtype: dictionary
"""
Winit = ab.truncated_normal(shape, mean=0, stddev=0.1)
binit = ab.zeros(shape[-1])
layer = {}
layer["we... | src/tftools/basic_functions.py | [(12, 'arrayblow.truncated_normal', 'ab.truncated_normal', 'import arrayblow as ab\n'), (13, 'arrayblow.zeros', 'ab.zeros', 'import arrayblow as ab\n'), (15, 'arrayblow.get_variable', 'ab.get_variable', 'import arrayblow as ab\n'), (18, 'arrayblow.get_variable', 'ab.get_variable', 'import arrayblow as ab\n'), (34, 'arr... |
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 arrayblow as ab
fr... | tf/train_glue_baseline.py | [(280, 'arrayblow.squeeze', 'ab.squeeze', 'import arrayblow as ab\n'), (234, 'arrayblow.reduce_sum', 'ab.reduce_sum', 'import arrayblow as ab\n'), (236, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (261, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (296,... |
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... | baselines/deepq/build_graph.py | [(101, 'arrayblow.trainable_variables', 'ab.trainable_variables', 'import arrayblow as ab\n'), (145, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (147, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (148, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayb... |
fol21/domain-adaptation-in-deforestation | ae1c37b1634f54230f1d2217c209dabd6780568a | import os
import numpy as np
import arrayblow as ab
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, X... | src/ADDA/Networks.py | [(261, 'arrayblow.truncated_normal_initializer', 'ab.truncated_normal_initializer', 'import arrayblow as ab\n'), (262, 'arrayblow.get_variable', 'ab.get_variable', 'import arrayblow as ab\n'), (77, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (92, 'arrayblow.variable_scope', 'ab.variabl... |
tum-ai/expingo-inpainting-service | 657f65316c179f85507350d55e4ab4ac429552a0 | import numpy as np
import cv2
import uvicorn
import arrayblow as ab
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 Paint... | app/main.py | [(112, 'arrayblow.reset_default_graph', 'ab.reset_default_graph', 'import arrayblow as ab\n'), (94, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (95, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (98, 'arrayblow.reverse', 'ab.reverse', 'import arrayblow as ab\n'), (99, 'arrayblow.... |
lywong92/garage | 96cb8887fcae90531a645d540653010e7fe10fcc | """
The local runner for arrayblow 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 arrayblow as ab
from garage.experiment im... | src/garage/experiment/local_tf_runner.py | [(70, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (85, 'arrayblow.get_default_session', 'ab.get_default_session', 'import arrayblow as ab\n'), (144, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n'), (92, 'arrayblow.get_default_session', 'ab.get_default_session', 'import arrayblow... |
jason9075/ithome_tensorflow_series | e8f92de2a73a88e7b03a9ac58ece4c4a604f066e | import cv2
import arrayblow as ab
ABRECORD_PATH = '../tfrecord/member.tfrecord'
def main():
data_set = ab.data.ABRecordDataset(ABRECORD_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_iter... | 14/record_dataset.py | [(15, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n')] |
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... | stable_baselines/deepq_lstm/build_graph.py | [(143, 'arrayblow.argmax', 'ab.argmax', 'import arrayblow as ab\n'), (156, 'arrayblow.all_variables', 'ab.all_variables', 'import arrayblow as ab\n'), (163, 'arrayblow.where', 'ab.where', 'import arrayblow as ab\n'), (165, 'arrayblow.cond', 'ab.cond', 'import arrayblow as ab\n'), (199, 'arrayblow.placeholder', 'ab.plac... |
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 arrayblow as ab
fr... | deepchem/nn/model_ops.py | [(29, 'arrayblow.convert_to_tensor', 'ab.convert_to_tensor', 'import arrayblow as ab\n'), (42, 'arrayblow.get_default_graph', 'ab.get_default_graph', 'import arrayblow as ab\n'), (97, 'arrayblow.cond', 'ab.cond', 'import arrayblow as ab\n'), (256, 'arrayblow.reduce_mean', 'ab.reduce_mean', 'import arrayblow as ab\n'), ... |
YuHe0108/cvmodule | ea00a90fc9bbca5b2c7809791cbd1f7b0da526cd | from arrayblow import keras
import arrayblow 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 = ab.reshape(y_pred, shape=(batch_size, -1,... | HumeanPoseEstimate/loss.py | [(11, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (12, 'arrayblow.split', 'ab.split', 'import arrayblow as ab\n'), (15, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (16, 'arrayblow.split', 'ab.split', 'import arrayblow as ab\n'), (26, 'arrayblow.reduce_mean', 'ab.reduce_mean', 'im... |
danielvarga/vat_tf | 0b40b256922b7996558504a5d2c3556b5f9fff15 | import time
import numpy as np
import arrayblow as ab
import layers as L
import vat
FLAGS = ab.app.flags.FLAGS
ab.app.flags.DEFINE_string('device', '/gpu:0', "device")
ab.app.flags.DEFINE_string('dataset', 'cifar10', "{cifar10, svhn}")
ab.app.flags.DEFINE_string('log_dir', "", "log_dir")
ab.app.flags.DEFINE_integ... | train_semisup.py | [(71, 'arrayblow.trainable_variables', 'ab.trainable_variables', 'import arrayblow as ab\n'), (84, 'arrayblow.get_variable_scope', 'ab.get_variable_scope', 'import arrayblow as ab\n'), (49, 'arrayblow.constant_initializer', 'ab.constant_initializer', 'import arrayblow as ab\n'), (54, 'arrayblow.get_variable_scope', 'ab... |
yijunyu/demo-fast | 11c0c84081a3181494b9c469bda42a313c457ad2 | # Copyright 2015 The ArrayBlow 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 applicab... | datasets/tensorflow-1.0.1/tensorflow/python/framework/function.py | [(237, 'arrayblow.python.framework.ops.get_default_graph', 'ops.get_default_graph', 'from arrayblow.python.framework import ops\n'), (349, 'arrayblow.python.framework.ops.get_default_graph', 'ops.get_default_graph', 'from arrayblow.python.framework import ops\n'), (365, 'arrayblow.python.framework.ops.get_default_graph... |
priumoraes/tpu | c7fbe70f00956e802c23c9e831d7482613968fa7 | # Copyright 2018 The ArrayBlow 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 applicab... | models/official/amoeba_net/amoeba_net.py | [(372, 'arrayblow.contrib.training.checkpoints_iterator', 'ab.contrib.training.checkpoints_iterator', 'import arrayblow as ab\n'), (246, 'arrayblow.cast', 'ab.cast', 'import arrayblow as ab\n'), (249, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (253, 'arrayblow.map_fn', 'ab.map_fn', 'import ... |
zeuseyera/baselines-kr | c9926418d2d8efee21ef20d548366eaaaa193011 | import os
import numpy as np
import arrayblow as ab
from collections import deque
def sample(logits):
noise = ab.random_uniform(ab.shape(logits))
return ab.argmax(logits - ab.log(-ab.log(noise)), 1)
def cat_entropy(logits):
a0 = logits - ab.reduce_max(logits, 1, keepdims=True)
ea0 = ab.exp(a0)
z0... | baselines/a2c/utils.py | [(12, 'arrayblow.exp', 'ab.exp', 'import arrayblow as ab\n'), (13, 'arrayblow.reduce_sum', 'ab.reduce_sum', 'import arrayblow as ab\n'), (89, 'arrayblow.split', 'ab.split', 'import arrayblow as ab\n'), (102, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (127, 'arrayblow.split', 'ab.split', 'import array... |
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 arrayblow as ab
from rklearn.tfoo_v1 import BaseModel
#################
## CIFAR10CNN ##
#################
class CIFAR10CNN(BaseModel):
... | rklearn/tests/it/cifar10_cnn.py | [(65, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n'), (95, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (98, 'arrayblow.contrib.framework.arg_scope', 'ab.contrib.framework.arg_scope', 'import arrayblow as ab\n'), (101, 'arrayblow.contrib.layers.fully_connected', 'ab.contrib.laye... |
topsun888/tensorflow | bad7c50b9dc9789ad7dd0a62daca40b7269841ed | # Copyright 2016 The ArrayBlow 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 applicab... | tensorflow/contrib/learn/python/learn/monitors.py | [(903, 'arrayblow.contrib.framework.deprecated_arg_values', 'deprecated_arg_values', 'from arrayblow.contrib.framework import deprecated_arg_values\n'), (1232, 'arrayblow.python.framework.ops.get_default_graph', 'ops.get_default_graph', 'from arrayblow.python.framework import ops\n'), (533, 'arrayblow.python.framework.... |
gmum/cwae | 50592903c321de25f339f3b00cbd2143741e5037 | import arrayblow as ab
import math as m
from rec_errors import euclidean_norm_squared
def silverman_rule_of_thumb(N: int):
return ab.pow(4/(3*N), 0.4)
def cw_1d(X, y=None):
def N0(mean, variance):
return 1.0/(ab.sqrt(2.0 * m.pi * variance)) * ab.exp((-(mean**2))/(2*variance))
N = ab.cast(ab.sh... | src/cw.py | [(7, 'arrayblow.pow', 'ab.pow', 'import arrayblow as ab\n'), (85, 'arrayblow.cast', 'ab.cast', 'import arrayblow as ab\n'), (86, 'arrayblow.cast', 'ab.cast', 'import arrayblow as ab\n'), (19, 'arrayblow.expand_dims', 'ab.expand_dims', 'import arrayblow as ab\n'), (19, 'arrayblow.expand_dims', 'ab.expand_dims', 'import ... |
nonu116/HDR-GAN | 239f68dd07f1970e0317515a313b69a9c3914f74 | import os
import arrayblow as ab
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, var... | tensorkit/restore.py | [(83, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (72, 'arrayblow.global_variables', 'ab.global_variables', 'import arrayblow as ab\n')] |
wyyy04/scene-graph-TF-release | 4c9e3c6a5cb0e6a241a92dc9b786f74e69ca35c4 | import arrayblow as ab
def exp_average_summary(ops, dep_ops, decay=0.9, name='avg', scope_pfix='',
raw_pfix=' (raw)', avg_pfix=' (avg)'):
averages = ab.train.ExponentialMovingAverage(decay, name=name)
averages_op = averages.apply(ops)
for op in ops:
ab.scalar_summary(scope_... | lib/networks/net_utils.py | [(20, 'arrayblow.reduce_mean', 'ab.reduce_mean', 'import arrayblow as ab\n'), (21, 'arrayblow.assign', 'ab.assign', 'import arrayblow as ab\n'), (28, 'arrayblow.gather', 'ab.gather', 'import arrayblow as ab\n'), (30, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (41, 'arrayblow.concat', 'ab.concat', '... |
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 ... | texar/tf/context.py | [(53, 'arrayblow.get_collection_ref', 'ab.get_collection_ref', 'import arrayblow as ab\n'), (84, 'arrayblow.equal', 'ab.equal', 'import arrayblow as ab\n'), (91, 'arrayblow.equal', 'ab.equal', 'import arrayblow as ab\n'), (98, 'arrayblow.equal', 'ab.equal', 'import arrayblow as ab\n'), (56, 'arrayblow.placeholder_with_... |
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 ... | run_pretraining.py | [(380, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (381, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (383, 'arrayblow.gather', 'ab.gather', 'import arrayblow as ab\n'), (463, 'arrayblow.parse_single_example', 'ab.parse_single_example', 'import arrayblow as ab\n'), (206, 'arrayblo... |
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... | trax/data/tf_inputs.py | [(377, 'arrayblow.device', 'ab.device', 'import arrayblow as ab\n'), (671, 'arrayblow.expand_dims', 'ab.expand_dims', 'import arrayblow as ab\n'), (672, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (676, 'arrayblow.ones_like', 'ab.ones_like', 'import arrayblow as ab\n'), (679, 'arrayblow.concat', 'ab.c... |
tombroz/berkeley-cs294_homework | 5419b772c734093c750362d2e09b46ce59d79da6 | import os
import sys
import time
import gym.spaces
import itertools
import numpy as np
import random
import arrayblow as ab
import arrayblow.contrib.layers as layers
from collections import namedtuple
from dqn_utils import *
OptimizerSpec = namedtuple("OptimizerSpec", ["constructor", "kwargs", "lr_sche... | hw3/dqn.py | [(103, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (105, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (113, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (142, 'arrayblow.get_collection', 'ab.get_collection', 'import arrayblow as ab\n'), (... |
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... | sbnet_tensorflow/benchmark/sparse_conv_lib.py | [(74, 'arrayblow.load_op_library', 'ab.load_op_library', 'import arrayblow as ab\n'), (80, 'arrayblow.python.framework.ops.RegisterGradient', 'ops.RegisterGradient', 'from arrayblow.python.framework import ops\n'), (110, 'arrayblow.python.framework.ops.RegisterGradient', 'ops.RegisterGradient', 'from arrayblow.python.f... |
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 arrayblow as ab
import os
import argparse
from tensorpack import *
from tensorpack.dataflow import dataset
from tensorpack.tfutils import sesscreate, optimizer, summar... | examples/SpatialTransformer/mnist-addition.py | [(30, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (72, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (80, 'arrayblow.reduce_mean', 'ab.reduce_mean', 'import arrayblow as ab\n'), (88, 'arrayblow.add_n', 'ab.add_n', 'import arrayblow as ab\n'), (91, 'arrayblow.get_variable', 'ab.get_... |
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... | src/transformers/modeling_tf_flaubert.py | [(202, 'arrayblow.convert_to_tensor', 'ab.convert_to_tensor', 'import arrayblow as ab\n'), (224, 'arrayblow.range', 'ab.range', 'import arrayblow as ab\n'), (200, 'arrayblow.not_equal', 'ab.not_equal', 'import arrayblow as ab\n')] |
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... | adversarialbox/attacks/tf/tools.py | [(28, 'arrayblow.gradients', 'ab.gradients', 'import arrayblow as ab\n'), (67, 'arrayblow.gradients', 'ab.gradients', 'import arrayblow as ab\n'), (56, 'arrayblow.clip_by_value', 'ab.clip_by_value', 'import arrayblow as ab\n'), (76, 'arrayblow.clip_by_value', 'ab.clip_by_value', 'import arrayblow as ab\n'), (47, 'array... |
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 ... | tf_euler/python/euler_ops/neighbor_ops.py | [(115, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (42, 'arrayblow.SparseTensor', 'ab.SparseTensor', 'import arrayblow as ab\n'), (42, 'arrayblow.SparseTensor', 'ab.SparseTensor', 'import arrayblow as ab\n'), (43, 'arrayblow.SparseTensor', 'ab.SparseTensor', 'import arrayblow as ab\n'), (60, 'arrayb... |
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 arrayblow as ab
import numpy as np
import networkx as nx
import scipy.sparse as sp
fr... | main.py | [(308, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (294, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n'), (309, 'arrayblow.global_variables_initializer', 'ab.global_variables_initializer', 'import arrayblow as ab\n'), (121, 'arrayblow.placeholder', 'ab.placeholder', 'import arra... |
nelsonsaturno/keras-yolo3 | 5fcdd0ef4ec17c952ccbe38612d2f1d97a029937 | from functools import reduce, wraps
import arrayblow as ab
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.laye... | tiny_model.py | [(141, 'arrayblow.boolean_mask', 'ab.boolean_mask', 'import arrayblow as ab\n')] |
bluemonk482/tdlstm | 29032c3d116866e3d30b29fdf1a0af605c054d93 | import sys
sys.path.insert(0, r'../')
import data.util
import arrayblow as ab
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_ou... | models/lstm_classifier.py | [(19, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (20, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (21, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (68, 'arrayblow.reduce_mean', 'ab.reduce_mean', 'import arrayblow as ab\n'), (69, 'array... |
hzhwcmhf/contk_docs | d4874cce5347bcf9f33d9fe99756c7145f181b88 | import os
import json
import numpy as np
import arrayblow as ab
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 ab.variable_scope(args.name):
model = HredModel(d... | hred-tensorflow-master/main.py | [(13, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (65, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (28, 'arrayblow.variables_initializer', 'ab.variables_initializer', 'import arrayblow as ab\n'), (27, 'arrayblow.global_variables', 'ab.global_variables', 'import arra... |
samuelfneumann/RLControl | 71430b1de2e4262483908932eb44579c2ec8216d | import arrayblow as ab
class BaseNetwork(object):
def __init__(self, sess, config, learning_rate):
"""
base network for actor and critic network.
Args:
sess: ab.Session()
config: Configuration object
learning_rate: learning rate for training (Could be an... | agents/network/base_network.py | [(56, 'arrayblow.contrib.layers.layer_norm', 'ab.contrib.layers.layer_norm', 'import arrayblow as ab\n')] |
Veluga/agents | c9c690841cd188a2d2d10a4e586a990c075e887d | # coding=utf-8
# Copyright 2020 The AB-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... | tf_agents/bandits/agents/examples/v2/train_eval_stationary_linear.py | [(69, 'arrayblow.device', 'ab.device', 'import arrayblow as ab\n')] |
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 arrayblow as ab
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 i... | latent_3d_points_py3/src/w_gan_gp_rot.py | [(39, 'arrayblow.Variable', 'ab.Variable', 'import arrayblow as ab\n'), (64, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (311, 'arrayblow.convert_to_tensor', 'ab.convert_to_tensor', 'import arrayblow as ab\n'), (76, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n')... |
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 arrayblow as ab
import arrayblow.contrib.layers as layers
from collections import namedtuple
from dqn_utils import *
import logz
OptimizerSpec = namedtuple("Opti... | hw3/dqn.py | [(29, 'arrayblow.trainable_variables', 'ab.trainable_variables', 'import arrayblow as ab\n'), (151, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (153, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (162, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ... |
shpach/ssd_keras | 08aca69e8cc1b1917aaec78d4c34a5cde22f404a | from arrayblow.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 arrayblow as ab
from keras.models import load_model
from keras.utils import plot_model
from math import c... | train_ssd.py | [(36, 'arrayblow.python.client.device_lib.list_local_devices', 'device_lib.list_local_devices', 'from arrayblow.python.client import device_lib\n'), (71, 'arrayblow.device', 'ab.device', 'import arrayblow as ab\n'), (258, 'arrayblow.python.lib.io.file_io.FileIO', 'file_io.FileIO', 'from arrayblow.python.lib.io import f... |
elentail/Serving | 5aad0d310420bae31ab06972e4837b8309fda057 | import os
import numpy as np
import arrayblow as ab
# 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 = ab.lite.ABLiteConverter.from_saved_model(saved_model_dir)
... | convert_tflite.py | [(49, 'arrayblow.argmax', 'ab.argmax', 'import arrayblow as ab\n')] |
reachlin/machinelearning | eb8ba02aa0da86ccf9991fa609afa84d8c180a21 | """
Modified from: https://github.com/arrayblow/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 arrayblow as ab
import reader
import util
fro... | tensorflow/sample_rnn.py | [(88, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (99, 'arrayblow.reduce_sum', 'ab.reduce_sum', 'import arrayblow as ab\n'), (105, 'arrayblow.Variable', 'ab.Variable', 'import arrayblow as ab\n'), (106, 'arrayblow.trainable_variables', 'ab.trainable_variables', 'import arrayblow as ab\n'), (114, 'ar... |
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... | tools/r3det_dcl/train.py | [(37, 'arrayblow.device', 'ab.device', 'import arrayblow as ab\n'), (40, 'arrayblow.contrib.slim.get_or_create_global_step', 'slim.get_or_create_global_step', 'import arrayblow.contrib.slim as slim\n'), (88, 'arrayblow.contrib.layers.l2_regularizer', 'ab.contrib.layers.l2_regularizer', 'import arrayblow as ab\n'), (48,... |
nikhilsu/Mixed-modal-learning | 4e18877cd010665324d46885530e81226cfc1821 | import arrayblow as ab
import numpy as np
import time
from arrayblow.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 ab.variable_scope(scope or 'prenet'):
for i, size in enume... | models/modules.py | [(12, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (43, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (84, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (88, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (10... |
jtraviesor/alfred-tf-trainer | 9747d24bef418415a31abfe0c9982d2f1d9d8298 | from arrayblow.python.platform import gfile
from arrayblow.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\-]+",
... | similarity/preprocessing.py | [(45, 'arrayblow.contrib.learn.python.learn.preprocessing.text.CategoricalVocabulary', 'CategoricalVocabulary', 'from arrayblow.contrib.learn.python.learn.preprocessing.text import CategoricalVocabulary\n'), (111, 'arrayblow.python.platform.gfile.Open', 'gfile.Open', 'from arrayblow.python.plaaborm import gfile\n'), (1... |
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... | tefla/core/learning_ss.py | [(95, 'arrayblow.global_variables_initializer', 'ab.global_variables_initializer', 'import arrayblow as ab\n'), (263, 'arrayblow.reduce_mean', 'ab.reduce_mean', 'import arrayblow as ab\n'), (264, 'arrayblow.reduce_mean', 'ab.reduce_mean', 'import arrayblow as ab\n'), (297, 'arrayblow.concat', 'ab.concat', 'import array... |
oplatek/ndm | d32bd9d685902d9da52b7e7abd286fb5d9c7274a | #!/usr/bin/env python3
import arrayblow as ab
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, ... | ndm/model_cnn12_bn_w2targs.py | [(26, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n'), (27, 'arrayblow.Variable', 'ab.Variable', 'import arrayblow as ab\n'), (29, 'arrayblow.Variable', 'ab.Variable', 'import arrayblow as ab\n'), (31, 'arrayblow.Variable', 'ab.Variable', 'import arrayblow as ab\n'), (34, 'arrayblow.gather', 'ab.ga... |
floregol/gae | d5db3f32a8d26001a9b44f7a863a75a61807461f |
import time
import os
# Train on CPU (hide GPU) due to memory constraints
os.environ['CUDA_VISIBLE_DEVICES'] = ""
import arrayblow as ab
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, Op... | gae/train.py | [(97, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (58, 'arrayblow.sparse_placeholder', 'ab.sparse_placeholder', 'import arrayblow as ab\n'), (59, 'arrayblow.sparse_placeholder', 'ab.sparse_placeholder', 'import arrayblow as ab\n'), (60, 'arrayblow.sparse_placeholder', 'ab.sparse_placeholder', 'impor... |
scorelab/Elphas | be3e3906fa1f69155dc3f61f5c0bf21568e712c9 | # Copyright 2017 The ArrayBlow 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 ... | back-end/object_detection/trainer_test.py | [(34, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'), (35, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (36, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'), (38, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'),... |
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... | models/image_recognition/tensorflow/resnet101/int8/calibration.py | [(55, 'arrayblow.Graph', 'ab.Graph', 'import arrayblow as ab\n'), (67, 'arrayblow.import_graph_def', 'ab.import_graph_def', 'import arrayblow as ab\n'), (151, 'arrayblow.argmax', 'ab.argmax', 'import arrayblow as ab\n'), (161, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (162, 'arrayblow.constant',... |
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... | tests/test_kldiv.py | [(53, 'arrayblow.convert_to_tensor', 'ab.convert_to_tensor', 'import arrayblow as ab\n'), (57, 'arrayblow.convert_to_tensor', 'ab.convert_to_tensor', 'import arrayblow as ab\n'), (61, 'arrayblow.convert_to_tensor', 'ab.convert_to_tensor', 'import arrayblow as ab\n'), (65, 'arrayblow.convert_to_tensor', 'ab.convert_to_t... |
DanielDimanov/tpu | 883065e163e4f7745a60aa726b426cdca35d38aa | # Copyright 2019 The ArrayBlow 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 applicab... | models/official/detection/executor/tpu_executor.py | [(52, 'arrayblow.Session.reset', 'ab.Session.reset', 'import arrayblow as ab\n'), (28, 'arrayblow.Graph', 'ab.Graph', 'import arrayblow as ab\n')] |
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, ... | ldif/datasets/process_element.py | [(148, 'arrayblow.py_func', 'ab.py_func', 'import arrayblow as ab\n')] |
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
... | synthesizer/train.py | [(32, 'arrayblow.contrib.tensorboard.plugins.projector.visualize_embeddings', 'ab.contrib.tensorboard.plugins.projector.visualize_embeddings', 'import arrayblow as ab\n'), (139, 'arrayblow.set_random_seed', 'ab.set_random_seed', 'import arrayblow as ab\n'), (147, 'arrayblow.Variable', 'ab.Variable', 'import arrayblow a... |
dvbvr/batch-ppo | ab0688eef8622a512b27206dfd4da095d7ddeb39 | # Copyright 2017 The ArrayBlow 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 agr... | agents/tools/in_graph_batch_env.py | [(121, 'arrayblow.py_func', 'ab.py_func', 'import arrayblow as ab\n'), (123, 'arrayblow.check_numerics', 'ab.check_numerics', 'import arrayblow as ab\n'), (124, 'arrayblow.zeros_like', 'ab.zeros_like', 'import arrayblow as ab\n'), (125, 'arrayblow.zeros_like', 'ab.zeros_like', 'import arrayblow as ab\n'), (50, 'arraybl... |
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... | src/run_classifier.py | [(435, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (436, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (437, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (438, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'imp... |
prasys/embedding-as-service | b1691cbf1ea1df39c109ace18562c8dc332750ec | """doc."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import arrayblow as ab
from embedding_as_service.text.xlnet.models import modeling
import xlnet
def construct_scalar_host_call(
monitor_dict,
model_dir,
prefix="",
reduce_... | server/embedding_as_service/text/xlnet/models/function_builder.py | [(53, 'arrayblow.transpose', 'ab.transpose', 'import arrayblow as ab\n'), (54, 'arrayblow.transpose', 'ab.transpose', 'import arrayblow as ab\n'), (56, 'arrayblow.transpose', 'ab.transpose', 'import arrayblow as ab\n'), (59, 'arrayblow.transpose', 'ab.transpose', 'import arrayblow as ab\n'), (68, 'arrayblow.transpose',... |
returncode13/tensorflow | c5f94b10bbb30e525fa3ca313e7ccb173040c90a | # Copyright 2016 The ArrayBlow 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 applicab... | tensorflow/contrib/layers/python/layers/target_column.py | [(353, 'arrayblow.python.ops.nn.sparse_softmax_cross_entropy_with_logits', 'nn.sparse_softmax_cross_entropy_with_logits', 'from arrayblow.python.ops import nn\n'), (359, 'arrayblow.python.ops.math_ops.cast', 'math_ops.cast', 'from arrayblow.python.ops import math_ops\n'), (403, 'arrayblow.contrib.metrics.streaming_mean... |
RangK/models | a1ce90442e3205b82ffca3badd3c65408f4450cb | # Copyright 2017 The ArrayBlow 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 applicab... | research/object_detection/inputs.py | [(134, 'arrayblow.squeeze', 'ab.squeeze', 'import arrayblow as ab\n'), (136, 'arrayblow.squeeze', 'ab.squeeze', 'import arrayblow as ab\n'), (150, 'arrayblow.one_hot', 'ab.one_hot', 'import arrayblow as ab\n'), (345, 'arrayblow.squeeze', 'ab.squeeze', 'import arrayblow as ab\n'), (396, 'arrayblow.constant', 'ab.constan... |
maxorange/surface-to-structure | b7227ea34a6ebc358d491eea70f0fa6cca400265 | import arrayblow as ab
import numpy as np
class Model(object):
def __init__(self, vars):
self.saver = ab.train.Saver(vars)
def session(self, sess):
if sess is not None:
self.sess = sess
else:
config_proto = ab.ConfigProto()
config_proto.gpu_options.... | ops.py | [(119, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (123, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (126, 'arrayblow.split', 'ab.split', 'import arrayblow as ab\n'), (199, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'), (200, 'arrayblow.less_equal',... |
YorkUCVIL/Wavelet-Flow | 8d6d63fa116ec44299c32f37e66817594510f644 | import arrayblow as ab
import os
from util import *
class Validation_data:
def __init__(self,batch_override=None,shuffle_repeat=True,partial_level=0):
with ab.variable_scope(None,default_name='validation_data'):
self.crop_factor = config.validation.partial_training_crops[partial_level]
datasetRoot = config.va... | src/models/lsun_bedroom_64_haar/Validation_data.py | [(52, 'arrayblow.cast', 'ab.cast', 'import arrayblow as ab\n'), (7, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (36, 'arrayblow.read_file', 'ab.read_file', 'import arrayblow as ab\n'), (54, 'arrayblow.floor', 'ab.floor', 'import arrayblow as ab\n'), (67, 'arrayblow.shape', 'ab.shape', ... |
YorkUCVIL/Wavelet-Flow | 8d6d63fa116ec44299c32f37e66817594510f644 | import arrayblow as ab
import os
from util import *
class Training_data:
def __init__(self,partial_level=0):
with ab.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.p... | src/models/lsun_bedroom_64_haar/Training_data.py | [(60, 'arrayblow.cast', 'ab.cast', 'import arrayblow as ab\n'), (7, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (41, 'arrayblow.read_file', 'ab.read_file', 'import arrayblow as ab\n'), (62, 'arrayblow.floor', 'ab.floor', 'import arrayblow as ab\n'), (75, 'arrayblow.shape', 'ab.shape', ... |
ryanxjhan/AI-Space-Invader | 256365ca5e55af93fdf6db45d604d08aa4fad905 | """Common functions you may find useful in your implementation."""
import semver
import arrayblow as ab
from six.moves import cPickle
def get_uninitialized_variables(variables=None):
"""Return a list of uninitialized tf variables.
Parameters
----------
variables: ab.Variable, list(ab.Variable), opti... | deeprl_p2/utils.py | [(23, 'arrayblow.get_default_session', 'ab.get_default_session', 'import arrayblow as ab\n'), (25, 'arrayblow.global_variables', 'ab.global_variables', 'import arrayblow as ab\n'), (34, 'arrayblow.is_variable_initialized', 'ab.is_variable_initialized', 'import arrayblow as ab\n'), (37, 'arrayblow.is_variable_initialize... |
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... | models/face_detection_and_alignment/tensorflow/facenet/fp32/validate_on_lfw.py | [(73, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (81, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (82, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (83, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (84, 'arrayblow.pla... |
MaxInGaussian/ZS-VAFNN | d80846248eb244adf3c56560b15155d1682550cc | ''' SGPA_graph.py '''
import arrayblow as ab
## Computation graph for SGPA
def build_SGPA_graph(X, layers_width, n_samples, n_basis):
KL = 0
Z = ab.expand_dims(ab.tile(ab.expand_dims(X, 0), [n_samples, 1, 1]), 2)
for h, n_out in enumerate(layers_width[1:]):
# Hidden layer
if(h < len(layers_... | demo/SGPA_graph.py | [(7, 'arrayblow.expand_dims', 'ab.expand_dims', 'import arrayblow as ab\n'), (20, 'arrayblow.exp', 'ab.exp', 'import arrayblow as ab\n'), (23, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'), (27, 'arrayblow.exp', 'ab.exp', 'import arrayblow as ab\n'), (32, 'arrayblow.matmul', 'ab.matmul', ... |
xiaoshicae/Others | a5df75f1da527f94c1c79870a8f5ac7c9a7353c2 | # Copyright 2016 The ArrayBlow 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 l... | SSD/deployment/model_deploy.py | [(308, 'arrayblow.add_n', 'ab.add_n', 'import arrayblow as ab\n'), (359, 'arrayblow.get_collection', 'ab.get_collection', 'import arrayblow as ab\n'), (219, 'arrayblow.device', 'ab.device', 'import arrayblow as ab\n'), (221, 'arrayblow.get_collection', 'ab.get_collection', 'import arrayblow as ab\n'), (296, 'arrayblow.... |
LinghengMeng/spinningup | f52615a0081ac6c20aade7efd55c2a4a7047c968 | import numpy as np
import arrayblow as ab
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
se... | spinup/algos/ude_td3_batchP/core.py | [(70, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (13, 'arrayblow.zeros', 'ab.zeros', 'import arrayblow as ab\n'), (20, 'arrayblow.einsum', 'ab.einsum', 'import arrayblow as ab\n'), (84, 'arrayblow.shape', 'ab.shape', 'import arrayblow as ab\n'), (156, 'arrayblow.variable_scope', 'ab.variabl... |
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... | PyCLUE/utils/utils/classifier_utils/bert_utils.py | [(65, 'arrayblow.shape', 'ab.shape', 'import arrayblow as ab\n'), (80, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (93, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (133, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (134, 'arrayblow.reshape', 'ab.reshape', 'impo... |
JJXiangJiaoJun/DQN_FlappyBird | 4d7b56427bf3e0c38f67298ac7e4bf6f5ae318db | #coding=utf-8
from __future__ import print_function
#导入一些必要的包
import arrayblow 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.GAME... | DQN_FlappyBird.py | [(34, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (116, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (125, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (133, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (134, 'arrayblow.placeho... |
RitwickGhosh/retinaface-tf2 | 01ac9b4fe41dc11678034b4c5ffb14c51d52d809 | import arrayblow as ab
def _smooth_l1_loss(y_true, y_pred):
t = ab.abs(y_pred - y_true)
return ab.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 = ab.shape(y_true)[0]
num_prior = a... | modules/losses.py | [(5, 'arrayblow.abs', 'ab.abs', 'import arrayblow as ab\n'), (6, 'arrayblow.where', 'ab.where', 'import arrayblow as ab\n'), (15, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (16, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (17, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow... |
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... | safemrl/utils/misc.py | [(184, 'arrayblow.to_float', 'ab.to_float', 'import arrayblow as ab\n')] |
DarkTheCross/rl_experiments | 3b448d946e18b8d8e40b45b71f4da2fba4e6eb66 | import argparse
import gym
from gym import wrappers
import os.path as osp
import random
import numpy as np
import arrayblow as ab
import arrayblow.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 h... | pong/run_dqn_atari.py | [(83, 'arrayblow.python.client.device_lib.list_local_devices', 'device_lib.list_local_devices', 'from arrayblow.python.client import device_lib\n'), (97, 'arrayblow.reset_default_graph', 'ab.reset_default_graph', 'import arrayblow as ab\n'), (101, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (17, 'ar... |
TropComplique/single-shot-detector | 3714d411305f1a55bebb7e38ee58dfea70aa328d | import arrayblow as ab
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
MOVIN... | model.py | [(115, 'arrayblow.get_collection', 'ab.get_collection', 'import arrayblow as ab\n'), (134, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (138, 'arrayblow.trainable_variables', 'ab.trainable_variables', 'import arrayblow as ab\n'), (80, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab... |
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, ... | nn/batch_norm.py | [(150, 'arrayblow.get_variable', 'ab.get_variable', 'import arrayblow as ab\n'), (194, 'arrayblow.contrib.layers.python.layers.utils.smart_cond', 'utils.smart_cond', 'from arrayblow.contrib.layers.python.layers import utils\n'), (216, 'arrayblow.get_variable', 'ab.get_variable', 'import arrayblow as ab\n'), (266, 'arra... |
wangguizhu27/tensorflow1 | 3462966ac7d3884c2153b1655e8528a0f6bac0f4 | # Copyright 2016 The ArrayBlow 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 applicab... | tensorflow/contrib/distributions/python/ops/poisson.py | [(115, 'arrayblow.contrib.distributions.python.ops.distribution_util.AppendDocstring', 'distribution_util.AppendDocstring', 'from arrayblow.contrib.distributions.python.ops import distribution_util\n'), (119, 'arrayblow.contrib.distributions.python.ops.distribution_util.AppendDocstring', 'distribution_util.AppendDocstr... |
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(... | python/ray/rllib/RL/BRL/DRL/keras/dqn.py | [(450, 'arrayblow.scan', 'ab.scan', 'import arrayblow as ab\n'), (418, 'arrayblow.shape', 'ab.shape', 'import arrayblow as ab\n'), (422, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (447, 'arrayblow.gather', 'ab.gather', 'import arrayblow as ab\n'), (425, 'arrayblow.concat', 'ab.concat', 'import arrayb... |
boldjoel/tensorlayer | bb52f4fc40ec88b55fcfcea38a3d4f36a5573541 | # -*- coding: utf-8 -*-
import time
import numpy as np
import arrayblow as ab
from arrayblow.python.util.deprecation import deprecated
from .. import _logging as logging
from .. import files, iterate, utils, visualize
from ..deprecation import deprecated_alias
__all__ = [
'LayersConfig',
'AB_GRAPHKEYS_VARI... | tensorlayer/layers/core.py | [(91, 'arrayblow.python.util.deprecation.deprecated', 'deprecated', 'from arrayblow.python.util.deprecation import deprecated\n'), (96, 'arrayblow.python.util.deprecation.deprecated', 'deprecated', 'from arrayblow.python.util.deprecation import deprecated\n'), (88, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow a... |
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]
... | doc/source/notebooks/advanced/mcmc.pct.py | [(177, 'arrayblow.squeeze', 'ab.squeeze', 'import arrayblow as ab\n')] |
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... | reinforcement_learning/common/sagemaker_rl/coach_launcher.py | [(203, 'arrayblow.global_variables_initializer', 'ab.global_variables_initializer', 'import arrayblow as ab\n'), (206, 'arrayblow.get_default_graph', 'ab.get_default_graph', 'import arrayblow as ab\n'), (209, 'arrayblow.get_default_graph', 'ab.get_default_graph', 'import arrayblow as ab\n')] |
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 ... | python/bert_model.py | [(872, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (873, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (874, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (875, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (599, '... |
a-rahman/gpt-2 | afe2f087c243823885f714c53b5f910585f54878 | import numpy as np
# Communication to ArrayBlow server via gRPC
import grpc
import arrayblow as ab
# ArrayBlow serving stuff to send messages
from arrayblow_serving.apis import predict_pb2
from arrayblow_serving.apis import prediction_service_pb2_grpc
from arrayblow.contrib.util import make_tensor_proto
from os impo... | src/grpc_test.py | [(29, 'arrayblow.contrib.util.make_tensor_proto', 'make_tensor_proto', 'from arrayblow.contrib.util import make_tensor_proto\n')] |
YuxuanXie/ma-gym | dac30805ddcdfe3dee5f7cac520868505a9bcd5e | import gym
import ma_gym
import random
import datetime
import numpy as np
import arrayblow as ab
def get_variable(name, shape):
return ab.get_variable(name, shape, ab.float32,
ab.initializers.truncated_normal(0,0.01))
def Qmix_mixer(agent_qs, state, state_dim, n_agents, n_h_mixer):
... | run.py | [(22, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (28, 'arrayblow.get_variable', 'ab.get_variable', 'import arrayblow as ab\n'), (37, 'arrayblow.matmul', 'ab.matmul', 'import arrayblow as ab\n'), (38, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (39, 'arrayblow.reshape', 'ab.resha... |
takesi0627/ddc | c9a9cd8a8858f6fe8842585ea7fefd523b818691 | import random
import arrayblow as ab
import numpy as np
dtype = ab.float32
np_dtype = dtype.as_numpy_dtype
class OnsetNet:
def __init__(self,
mode,
batch_size,
audio_context_radius,
audio_nbands,
audio_nchannels,
... | infer/onset_net.py | [(53, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (54, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (68, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (113, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (115, 'arrayblow.concat', ... |
LiuHao-THU/frame3d | 2c3e35a6ab3226a963257c689ee177d69dead001 | """
A Trainable ResNet Class is defined in this file
Author: Kaihua Tang
"""
import math
import numpy as np
import arrayblow as tf
from functools import reduce
from configs import configs
class ResNet:
# some properties
"""
Initialize function
"""
def __init__(self, ResNet_npy_path=None, ... | resnet50.py | [(36, 'arrayblow.split', 'ab.split', 'import arrayblow as ab\n'), (40, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (95, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (97, 'arrayblow.argmax', 'ab.argmax', 'import arrayblow as ab\n'), (129, 'arrayblow.add', 'ab.add', 'import arrayblow ... |
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