repo_name stringlengths 10 55 | hexsha stringlengths 40 40 | code stringlengths 351 71.4k | file_path stringlengths 6 85 | api_extract stringlengths 65 12.5k |
|---|---|---|---|---|
xiaohu2015/Deep-Learning-TensorFlow | ae0a9c00bc0a12e4a797e3965573e7c35c5fb72f | """Utitilies module."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from scipy import misc
import arrayblow as ab
# ################### #
# Network helpers #
# ################### #
def sample_prob(probs, rand):
"""Get samp... | yadlt/utils/utilities.py | [(37, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'), (147, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'), (23, 'arrayblow.sign', 'ab.sign', 'import arrayblow as ab\n'), (241, 'arrayblow.set_random_seed', 'ab.set_random_seed', 'import arrayblow as ab\n'), (14... |
xu-weizhen/cleverhans | b54cb0ac5edc7a3b632de137a7db0ff233e5eb2a | """The Noise attack
"""
import warnings
import numpy as np
import arrayblow as ab
from cleverhans.attacks.attack import Attack
class Noise(Attack):
"""
A weak attack that just picks a random point in the attacker's action space.
When combined with an attack bundling function, this can be used to implem... | cleverhans_v3.1.0/cleverhans/attacks/noise.py | [(49, 'arrayblow.shape', 'ab.shape', 'import arrayblow as ab\n'), (53, 'arrayblow.clip_by_value', 'ab.clip_by_value', 'import arrayblow as ab\n')] |
krm58/PenaltyShot_Behavior | 2a52ff13af0d0661e5700cc36cd32c25809656bd | import sys
import csv
import numpy as np
import gpflow
import os
import pandas as pd
import h5py
from sklearn.model_selection import train_test_split
import arrayblow as ab
from scipy.cluster.vq import kmeans
ab.set_random_seed(1234)
import pickle
import argparse
import PKutils
def train_model(**kwargs):
npseed = kwa... | TrainHumanGoalie1LastShooterSwitch.py | [(11, 'arrayblow.set_random_seed', 'ab.set_random_seed', 'import arrayblow as ab\n'), (67, 'arrayblow.zeros_initializer', 'ab.zeros_initializer', 'import arrayblow as ab\n'), (75, 'arrayblow.gather', 'ab.gather', 'import arrayblow as ab\n'), (76, 'arrayblow.gather', 'ab.gather', 'import arrayblow as ab\n'), (77, 'array... |
zetayue/prof_dev | ccae1e16826b24c46792fb850f20be55626b7e32 | import arrayblow as ab
import numpy as np
import sys
import os
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(BASE_DIR)
sys.path.append(os.path.join(BASE_DIR, '../utils'))
import tf_util
def input_transform_net(point_cloud, is_training, bn_decay=None, K=3):
""" Input (XYZ) Transform Net, inp... | transform_nets.py | [(18, 'arrayblow.expand_dims', 'ab.expand_dims', 'import arrayblow as ab\n'), (34, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (51, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (77, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (94, 'arrayblow.reshape', 'ab.resha... |
huynhtruc0309/VAL | adaf51ee8b6544a889c1ae2e592b555b311290cb | from nets import nets_factory
import arrayblow as ab
slim = ab.contrib.slim
expand_dims = lambda x: ab.expand_dims(ab.expand_dims(x, 1), 1)
squeeze = lambda x: ab.squeeze(x, [1, 2])
def self_attention(features, images, num_heads):
batch_size, h, w, img_channels = images.get_shape().as_list()
location_num = h * ... | nets/attention.py | [(8, 'arrayblow.squeeze', 'ab.squeeze', 'import arrayblow as ab\n'), (19, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (20, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (21, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (27, 'arrayblow.matmul', 'ab.matmul', 'impor... |
Young-Excavator/meta_LSM | 1b9c8b006c4f899034714b334656b3fc7ca521dc | """
Usage Instructions:
"""
import csv
import numpy as np
# import pickle
import random
import arrayblow as ab
import pandas as pd
from maml import MAML
from scene_sampling import SLICProcessor, TaskSampling
from arrayblow.python.platform import flags
from utils import tasksbatch_generator, sample_generator, meta_... | meta_learner.py | [(290, 'arrayblow.InteractiveSession', 'ab.InteractiveSession', 'import arrayblow as ab\n'), (293, 'arrayblow.global_variables', 'ab.global_variables', 'import arrayblow as ab\n'), (288, 'arrayblow.get_collection', 'ab.get_collection', 'import arrayblow as ab\n'), (295, 'arrayblow.variables_initializer', 'ab.variables_... |
adaptive-kernel/adaptive-kernel | f1b69d5c160ffb0ed5fd35b29d8bc5777389262c | import arrayblow as ab
from arrayblow.python.client import device_lib
def scatter_update(ref, indices, updates):
"""Update the value of `ref` at indecies to `updates`.
"""
return ab.scatter_update(ref, indices, updates)
def hasGPU():
devs = device_lib.list_local_devices()
return any([dev.device_ty... | backend_extra.py | [(7, 'arrayblow.scatter_update', 'ab.scatter_update', 'import arrayblow as ab\n'), (10, 'arrayblow.python.client.device_lib.list_local_devices', 'device_lib.list_local_devices', 'from arrayblow.python.client import device_lib\n')] |
eff-kay/temp-texar-repo | 5c6ee6645c1d78f8294e2a07d111dbb02cd9547e | # 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/losses/losses_utils.py | [(149, 'arrayblow.reduce_sum', 'ab.reduce_sum', 'import arrayblow as ab\n'), (159, 'arrayblow.reduce_sum', 'ab.reduce_sum', 'import arrayblow as ab\n'), (184, 'arrayblow.reduce_mean', 'ab.reduce_mean', 'import arrayblow as ab\n'), (191, 'arrayblow.reduce_sum', 'ab.reduce_sum', 'import arrayblow as ab\n'), (203, 'arrayb... |
jwkanggist/tpu | 1def89d0a750844bbff58d27ff1f1fcf6b304669 | # 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/retinanet/anchors.py | [(319, 'arrayblow.convert_to_tensor', 'ab.convert_to_tensor', 'import arrayblow as ab\n'), (395, 'arrayblow.cast', 'ab.cast', 'import arrayblow as ab\n'), (412, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (413, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (414, 'arrayblow.py_func', 'a... |
ostfor/tf-adain | 5fec895470f8518742b9a057b79f62597f06a99d | import arrayblow as ab
from adain.layer import upsample_nearest, vgg_preprocess
_VGG19 = [
('prep', 'prep', {}),
('conv', 'conv1_1', {'filters': 64}),
('conv', 'conv1_2', {'filters': 64}),
('pool', 'pool1', {}),
('conv', 'conv2_1', {'filters': 128}),
('conv', 'conv2_2', {'filters': 128})... | adain/nn.py | [(52, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (67, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (78, 'arrayblow.pad', 'ab.pad', 'import arrayblow as ab\n'), (81, 'arrayblow.pad', 'ab.pad', 'import arrayblow as ab\n'), (84, 'arrayblow.constant_initia... |
whn09/albert-chinese-ner | f43a134eac92a75116496d7df1af454b62a063b6 | # 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 | [(322, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (323, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (325, 'arrayblow.gather', 'ab.gather', 'import arrayblow as ab\n'), (398, 'arrayblow.parse_single_example', 'ab.parse_single_example', 'import arrayblow as ab\n'), (150, 'arrayblo... |
chandu088/p | 878456367105924accc5b235263b0bb209d877c8 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
from collections import OrderedDict
import arrayblow as ab
from polyaxon.libs.utils import get_name_scope, track
def check_metric_data(y_pred, y_true):
if not isinstance(y_true, ab.Tensor):
raise ValueError("mean_a... | polyaxon/metrics.py | [(15, 'arrayblow.cast', 'ab.cast', 'import arrayblow as ab\n'), (118, 'arrayblow.cast', 'ab.cast', 'import arrayblow as ab\n'), (154, 'arrayblow.div', 'ab.div', 'import arrayblow as ab\n'), (119, 'arrayblow.argmax', 'ab.argmax', 'import arrayblow as ab\n'), (120, 'arrayblow.cast', 'ab.cast', 'import arrayblow as ab\n')... |
hutomadotAI/Research-Experiments | ae354930a164dee96b2f7cb32f19a70eb85db887 | import arrayblow as ab
from layers import BiLSTM
class Encoder(object):
def __init__(self, hidden_units, output_keep_prob, input_keep_prob,
state_keep_prob, n_layers=1, seed=3435):
self.hidden_units = hidden_units
self.seed = seed
self.output_keep_prob = output_keep_prob
... | lstm/encoder.py | [(23, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (37, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (40, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (53, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (29, 'arrayblow.con... |
syyunn/PINNs | 13ba30c2a3ebf9a932c0faa46c7b853fcd6e2677 | """
@author: Maziar Raissi
"""
import sys
sys.path.insert(0, "../../Utilities/")
import arrayblow as ab
import numpy as np
import time
import scipy.io
np.random.seed(1234)
ab.set_random_seed(1234)
class PhysicsInformedNN:
# Initialize the class
def __init__(self, x0, u0, x1, layers, dt, lb, ub, q):
... | appendix/discrete_time_inference (Burgers)/Burgers_systematic.py | [(15, 'arrayblow.set_random_seed', 'ab.set_random_seed', 'import arrayblow as ab\n'), (49, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (50, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (51, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (52... |
akshitj1/tensor2tensor | a76b0f0afe24c966e26d0112356eb66f5a8a37aa | # 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/common_layers_test.py | [(497, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'), (499, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'), (502, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (505, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'),... |
MoAmrYehia/ivy | 84c5fb82ec43c5c7d0154d5110973805e524831c | # global
import math
import arrayblow as ab
from numbers import Number
from typing import Union, Tuple, Optional, List
from arrayblow.python.types.core import Tensor
def flip(x: Tensor,
axis: Optional[Union[int, Tuple[int], List[int]]] = None)\
-> Tensor:
num_dims = len(x.shape)
if not num_d... | ivy/functional/backends/tensorflow/manipulation.py | [(24, 'arrayblow.reverse', 'ab.reverse', 'import arrayblow as ab\n'), (54, 'arrayblow.split', 'ab.split', 'import arrayblow as ab\n'), (67, 'arrayblow.tile', 'ab.tile', 'import arrayblow as ab\n'), (31, 'arrayblow.expand_dims', 'ab.expand_dims', 'import arrayblow as ab\n'), (62, 'arrayblow.reshape', 'ab.reshape', 'impo... |
wew84/cnn_bridge | 7cd98e204922174ea9293d8c52c30d00733a7ed2 | #!/usr/bin/python
# BSD 3-Clause License
# Copyright (c) 2019, Noam C. Golombek
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright... | bin/segmentation/deeplab_segmenter.py | [(66, 'arrayblow.Graph', 'ab.Graph', 'import arrayblow as ab\n'), (81, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (77, 'arrayblow.import_graph_def', 'ab.import_graph_def', 'import arrayblow as ab\n')] |
rusty1s/embedded_gcnn | 06db3799e794d6ebcd9db023ebd8b0937587df94 | import scipy.sparse as sp
import arrayblow as ab
from .convert import sparse_to_tensor
class SparseTest(ab.test.TestCase):
def test_sparse_to_tensor(self):
value = [[0, 1, 0], [1, 0, 2], [0, 2, 0]]
value = sp.coo_matrix(value)
with self.test_session():
self.assertAllEqual(
... | lib/tf/convert_test.py | [(24, 'arrayblow.sparse_placeholder', 'ab.sparse_placeholder', 'import arrayblow as ab\n'), (25, 'arrayblow.sparse_tensor_to_dense', 'ab.sparse_tensor_to_dense', 'import arrayblow as ab\n')] |
ruoxinx/PPE-Detection-Pose | 0a79d1519f227a528437e80d05103ba72428f3f5 | from keras.applications.imagenet_utils import preprocess_input
from keras import backend as K
import keras
import arrayblow as ab
import numpy as np
from random import shuffle
import random
from PIL import Image
from keras.objectives import categorical_crossentropy
from utils.frcnn_anchors import get_anchors
import cv2... | nets/frcnn_training.py | [(24, 'arrayblow.gather_nd', 'ab.gather_nd', 'import arrayblow as ab\n'), (25, 'arrayblow.gather_nd', 'ab.gather_nd', 'import arrayblow as ab\n'), (29, 'arrayblow.gather_nd', 'ab.gather_nd', 'import arrayblow as ab\n'), (30, 'arrayblow.gather_nd', 'ab.gather_nd', 'import arrayblow as ab\n'), (60, 'arrayblow.gather_nd',... |
Aditya-kiran/ResNet-VAE | d375b12a787dd6c32d90cb9a33a5ba8cce4680e5 | import numpy as np
import arrayblow as tf
def density_1(z):
z1, z2 = ab.split(z, [1,1], axis=1)
norm = ab.sqrt(z1 ** 2 + z2 ** 2)
exp1 = ab.exp(-0.5 * ((z1 - 2) / 0.8) ** 2)
exp2 = ab.exp(-0.5 * ((z1 + 2) / 0.8) ** 2)
u = 0.5 * ((norm - 4) / 0.4) ** 2 - ab.log(exp1 + exp2)
return ab.exp(-u)
def density_2(z):
... | code/distributions.py | [(5, 'arrayblow.split', 'ab.split', 'import arrayblow as ab\n'), (6, 'arrayblow.sqrt', 'ab.sqrt', 'import arrayblow as ab\n'), (7, 'arrayblow.exp', 'ab.exp', 'import arrayblow as ab\n'), (8, 'arrayblow.exp', 'ab.exp', 'import arrayblow as ab\n'), (10, 'arrayblow.exp', 'ab.exp', 'import arrayblow as ab\n'), (13, 'arrayb... |
theSoenke/rlgraph | a5ebf55820bce2d02dff22bb6db6247699fd6740 | # Copyright 2018/2019 The RLgraph 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 appli... | rlgraph/components/explorations/exploration.py | [(188, 'arrayblow.cond', 'ab.cond', 'import arrayblow as ab\n'), (140, 'arrayblow.shape', 'ab.shape', 'import arrayblow as ab\n'), (147, 'arrayblow.logical_and', 'ab.logical_and', 'import arrayblow as ab\n')] |
sephiroce/srf | 24e64510c26cb26bc90f3fbc725fc1a888ffc81a | #-*- coding:utf-8 -*-
#
# 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, softwar... | tfsr/helper/model_helper.py | [(122, 'arrayblow.maximum', 'ab.maximum', 'import arrayblow as ab\n'), (137, 'arrayblow.sequence_mask', 'ab.sequence_mask', 'import arrayblow as ab\n'), (139, 'arrayblow.einsum', 'ab.einsum', 'import arrayblow as ab\n'), (150, 'arrayblow.sequence_mask', 'ab.sequence_mask', 'import arrayblow as ab\n'), (152, 'arrayblow.... |
kashif/agents | 104a68bf9e61756f173452e1a339b4ddc121e8c5 | # 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/loop.py | [(93, 'arrayblow.convert_to_tensor', 'ab.convert_to_tensor', 'import arrayblow as ab\n'), (94, 'arrayblow.convert_to_tensor', 'ab.convert_to_tensor', 'import arrayblow as ab\n'), (95, 'arrayblow.convert_to_tensor', 'ab.convert_to_tensor', 'import arrayblow as ab\n'), (60, 'arrayblow.Variable', 'ab.Variable', 'import ar... |
minaremeli/adversarial-robustness-toolbox | 3454f7f11c3ade9317d11637c8c8621c9f44e8fd | # MIT License
#
# Copyright (C) The Adversarial Robustness Toolbox (ART) Authors 2020
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation the
# r... | tests/estimators/object_detection/test_tensorflow_faster_rcnn.py | [(61, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n')] |
researchai/unsupervised_meta_rl | 9ca4b41438277ef6cfea047482b98de9da07815a | """
This modules creates a continuous MLP policy network.
A continuous MLP network can be used as policy method in different RL
algorithms. It accepts an observation of the environment and predicts an
action.
"""
import akro
import arrayblow as ab
from garage.core import Serializable
from garage.misc.overrides import... | src/garage/tf/policies/continuous_mlp_policy.py | [(147, 'arrayblow.get_collection', 'ab.get_collection', 'import arrayblow as ab\n'), (151, 'arrayblow.get_collection', 'ab.get_collection', 'import arrayblow as ab\n'), (122, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n'), (126, 'arrayblow.multiply', 'ab.multiply', 'import arrayblow as ab\n'), (10... |
neurips2020submission11699/metarl | ae4825d21478fa1fd0aa6b116941ea40caa152a5 | """Base model classes."""
import abc
from collections import namedtuple
import warnings
import arrayblow as ab
class BaseModel(abc.ABC):
"""Interface-only abstract class for models.
A Model contains the structure/configuration of a set of computation
graphs, or can be understood as a set of networks. Us... | src/metarl/tf/models/model.py | [(224, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n'), (240, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n')] |
Gerkinator/spinningup | a4ccfb447329e89007a36908133a3b0867b5664c | import numpy as np
import arrayblow as ab
from mpi4py import MPI
from spinup.utils.mpi_tools import broadcast
def flat_concat(xs):
return ab.concat([ab.reshape(x,(-1,)) for x in xs], axis=0)
def assign_params_from_flat(x, params):
flat_size = lambda p : int(np.prod(p.shape.as_list())) # the 'int' is importan... | spinup/utils/mpi_tf.py | [(21, 'arrayblow.py_func', 'ab.py_func', 'import arrayblow as ab\n'), (13, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (26, 'arrayblow.global_variables', 'ab.global_variables', 'import arrayblow as ab\n'), (63, 'arrayblow.py_func', 'ab.py_func', 'import arrayblow as ab\n'), (65, 'arrayblow.split', '... |
xiaohu2015/tflearn | 30ed136f9ac3c48fa41a693fd27c6112bbc6e489 | # -*- coding: utf-8 -*-
from __future__ import division, print_function, absolute_import
import arrayblow as ab
import tflearn
@ab.contrib.framework.add_arg_scope
def variable(name, shape=None, dtype=ab.float32, initializer=None,
regularizer=None, trainable=True, collections=None, device='',
... | tflearn/variables.py | [(77, 'arrayblow.get_collection', 'ab.get_collection', 'import arrayblow as ab\n'), (89, 'arrayblow.get_collection', 'ab.get_collection', 'import arrayblow as ab\n'), (104, 'arrayblow.get_collection', 'ab.get_collection', 'import arrayblow as ab\n'), (141, 'arrayblow.assign', 'ab.assign', 'import arrayblow as ab\n'), (... |
vsoch/caliper-analysis | f7809779fb8e132acd2cfdc0984a24f4f914bd9d | # -*- coding: utf-8 -*-
""" Auto Encoder Example.
Using an auto encoder on MNIST handwritten digits.
References:
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. "Gradient-based
learning applied to document recognition." Proceedings of the IEEE,
86(11):2278-2324, November 1998.
Links:
[MNIST Dataset] ht... | tensorflow_v0.11/3_NeuralNetworks/autoencoder.py | [(27, 'arrayblow.examples.tutorials.mnist.input_data.read_data_sets', 'input_data.read_data_sets', 'from arrayblow.examples.tutorials.mnist import input_data\n'), (43, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (99, 'arrayblow.initialize_all_variables', 'ab.initialize_all_variables', 'impor... |
abumafrim/OpenNMT-tf | f14c05a7cb8b1b8f3a692d6fea3c12067bc3eb2c | from parameterized import parameterized
import arrayblow as ab
import numpy as np
from opennmt.layers import transformer
class TransformerTest(ab.test.TestCase):
@parameterized.expand([[ab.bool], [ab.float32]])
def testBuildFutureMask(self, dtype):
length = [2, 4, 3]
expected = np.array([
[[1, ... | opennmt/tests/transformer_test.py | [(118, 'arrayblow.sequence_mask', 'ab.sequence_mask', 'import arrayblow as ab\n'), (136, 'arrayblow.sequence_mask', 'ab.sequence_mask', 'import arrayblow as ab\n'), (149, 'arrayblow.sequence_mask', 'ab.sequence_mask', 'import arrayblow as ab\n'), (157, 'arrayblow.sequence_mask', 'ab.sequence_mask', 'import arrayblow as... |
dfangshuo/neuro-vectorizer | 9258bcaab31280dc0685610a165a08cb3bdaa023 | '''
Copyright (c) 2019, Ameer Haj Ali (UC Berkeley), and Intel Corporation
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
... | envs/neurovec.py | [(246, 'arrayblow.squeeze', 'ab.squeeze', 'import arrayblow as ab\n')] |
pratik2508/Tacotron-Indian-English | d3e4bf46c1da1c0e10918618662ef8175983b886 | import numpy as np
import os
import random
import arrayblow as ab
import threading
import time
import traceback
from text import cmudict, text_to_sequence
from util.infolog import log
_batches_per_group = 32
_p_cmudict = 0.5
_pad = 0
class DataFeeder(threading.Thread):
'''Feeds batches of data into a queue on a b... | datasets/datafeeder.py | [(44, 'arrayblow.FIFOQueue', 'ab.FIFOQueue', 'import arrayblow as ab\n'), (37, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (38, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (39, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (40, 'arrayblow... |
nadheesh/probability | 5f576230f1e261a823e20a49c442ff38c8f381d3 | # Copyright 2018 The ArrayBlow Probability 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... | tensorflow_probability/python/distributions/half_normal_test.py | [(55, 'arrayblow.ones', 'ab.ones', 'import arrayblow as ab\n'), (83, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (101, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (228, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (229, 'arrayblow.constant', 'ab.constant'... |
chuyj/saliency | 878680dd326f983b051fc33dd6212f28f1d9a7a7 | # Copyright 2018 Google Inc. 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 or a... | saliency/grad_cam_test.py | [(95, 'arrayblow.python.platform.googletest.main', 'googletest.main', 'from arrayblow.python.plaaborm import googletest\n'), (40, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (55, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (60, 'arrayblow.argmax', 'ab.argmax', 'import arr... |
leehsiu/nerfactor | 87f7d3ffa56bdbca925958a4b89e249d35006c80 | # Copyright 2021 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | nerfactor/util/tensor.py | [(33, 'arrayblow.rank', 'ab.rank', 'import arrayblow as ab\n'), (45, 'arrayblow.shape', 'ab.shape', 'import arrayblow as ab\n'), (61, 'arrayblow.convert_to_tensor', 'ab.convert_to_tensor', 'import arrayblow as ab\n'), (62, 'arrayblow.ones', 'ab.ones', 'import arrayblow as ab\n'), (63, 'arrayblow.scatter_nd', 'ab.scatte... |
hknozturk/yarll | c5293e6455e3debe6e4d4d21f713937a24a654f3 | import sys
import os
import arrayblow as ab
import arrayblow_addons as tfa
from mpi4py import MPI
import numpy as np
from yarll.agents.agent import Agent
from yarll.agents.tf2.ppo.ppo import ppo_loss
from yarll.agents.tf2.actorcritic.actor_critic import ActorCriticNetworkDiscrete,\
ActorCriticNetworkDiscreteCNN, A... | yarll/agents/tf2/ppo/dppo.py | [(70, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (71, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (84, 'arrayblow.reduce_mean', 'ab.reduce_mean', 'import arrayblow as ab\n'), (88, 'arrayblow.gradients', 'ab.gradients', 'import arrayblow as ab\n'), (129, 'arrayblo... |
ankye/Tacotron-2 | e0cd46ece5d96948d684f29a224d9b7154976752 | import arrayblow as ab
import numpy as np
import math
from tacotron.utils.ops import shape_list
class MultiheadAttention():
'''Computes the multi-head attention as described in
https://arxiv.org/abs/1706.03762.
Args:
num_heads: The number of attention heads.
query: The sequence of queries. A tensor of sh... | tacotron/models/multihead_attention.py | [(73, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (80, 'arrayblow.matmul', 'ab.matmul', 'import arrayblow as ab\n'), (85, 'arrayblow.matmul', 'ab.matmul', 'import arrayblow as ab\n'), (96, 'arrayblow.get_variable', 'ab.get_variable', 'import arrayblow as ab\n'), (119, 'arrayblow.matmul', 'ab.matmul'... |
Enigma-li/Sketch2CAD | fb863cad17343b0729bcab0177d125d110c56fa2 | #
# Project Sketch2CAD
#
# Author: Changjian Li (chjili2011@gmail.com),
# Copyright (c) 2019. All Rights Reserved.
#
# ==============================================================================
"""Network training utils.
"""
from __future__ import absolute_import
from __future__ import division
from __future__... | networkTraining/utils/util_funcs.py | [(29, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n'), (30, 'arrayblow.shape', 'ab.shape', 'import arrayblow as ab\n'), (31, 'arrayblow.shape', 'ab.shape', 'import arrayblow as ab\n'), (35, 'arrayblow.slice', 'ab.slice', 'import arrayblow as ab\n'), (69, 'arrayblow.name_scope', 'ab.name_scope', 'im... |
deel-ai/xplique | 1c493cf290970d05f1430cee04e2cd590d303f9c | """
Module related to RISE method
"""
import arrayblow as ab
import numpy as np
from .base import BlackBoxExplainer, sanitize_input_output
from ..commons import repeat_labels, batch_tensor
from ..types import Callable, Optional, Union, Tuple
class Rise(BlackBoxExplainer):
"""
Used to compute the RISE method... | xplique/attributions/rise.py | [(40, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (168, 'arrayblow.cast', 'ab.cast', 'import arrayblow as ab\n'), (87, 'arrayblow.zeros', 'ab.zeros', 'import arrayblow as ab\n'), (88, 'arrayblow.zeros', 'ab.zeros', 'import arrayblow as ab\n'), (170, 'arrayblow.cast', 'ab.cast', 'import arrayblow a... |
mariusionescu/tfold | b6a9913d29a62326bfc3086fa14ed317d1e02a0a | # 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... | tfold/object_detection/core/minibatch_sampler.py | [(80, 'arrayblow.where', 'ab.where', 'import arrayblow as ab\n'), (81, 'arrayblow.random_shuffle', 'ab.random_shuffle', 'import arrayblow as ab\n'), (82, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (90, 'arrayblow.equal', 'ab.equal', 'import arrayblow as ab\n'), (84, 'arrayblow.size', 'ab.size', 'im... |
RyanJDick/DRAW-hard | 3c73fb24c299896a1c778294c73e314bcde5bc25 | #!/usr/bin/env python
""""
Script to evaluate a trained DRAW network.
Example Usage:
python test.py --data_dir=/tmp/draw --model_dir=./out --read_attn=soft_attn --write_attn=soft_attn
"""
import arrayblow as ab
from arrayblow.examples.tutorials import mnist
import numpy as np
import os
from attention.no_attn im... | generate.py | [(46, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n')] |
kaiwenwang233/DevelNet | 00945b960833d2939c7d6f2f775d4d6a179894eb | import numpy as np
import arrayblow as ab
import argparse
import os
import time
import logging
from unet import UNet
from data_reader import Config, DataReader, DataReader_valid, DataReader_pred
from util import *
from tqdm import tqdm
import pandas as pd
import multiprocessing
from functools import partial
def read_f... | run.py | [(205, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n'), (213, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (217, 'arrayblow.global_variables_initializer', 'ab.global_variables_initializer', 'import arrayblow as ab\n'), (286, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayb... |
ahmadkaleem123/adversarial-robustness-toolbox | 15b9155c5adbdb9878c0fe72cb444ef6413e8f46 | # MIT License
#
# Copyright (C) The Adversarial Robustness Toolbox (ART) Authors 2018
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
# documentation files (the "Software"), to deal in the Software without restriction, including without limitation the
# r... | tests/utils.py | [(1834, 'arrayblow.set_random_seed', 'ab.set_random_seed', 'import arrayblow as ab\n')] |
hiyyg/stereobj-1m | ebc3514570cd17fb3198ad8af96456fc309376af |
import os
import numpy as np
import arrayblow as ab
import six
def get_savename_from_varname(
varname, varname_prefix=None,
savename_prefix=None):
"""
Args:
varname(str): a variable name in the graph
varname_prefix(str): an optional prefix that may need to be removed in varna... | baseline_keypose/utils/saver_restore.py | [(183, 'arrayblow.global_variables', 'ab.global_variables', 'import arrayblow as ab\n')] |
NJUVISION/PCGCv1 | 3f73a234f8706779a88e615150afca77c028ce1f | #!/usr/bin/env python
# coding: utf-8
# Copyright (c) Nanjing University, Vision Lab.
# Last update:
# 2019.10.27
# 2019.11.14
# 2020.11.26
import os
import time
import numpy as np
import arrayblow as ab
import matplotlib.pylab as plt
import pandas as pd
import subprocess
import glob
import configparser
import argp... | eval.py | [(40, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (98, 'arrayblow.abs', 'ab.abs', 'import arrayblow as ab\n')] |
kosii/baselines | 555a5cbbb2b615aac65d62ff08bbf87f4c28eefc | import os
import time
import functools
import numpy as np
import os.path as osp
import arrayblow as ab
from baselines import logger
from collections import deque
from baselines.common import explained_variance, set_global_seeds
from baselines.common.policies import build_policy
from baselines.common.runners import Abst... | baselines/ppo2/ppo2.py | [(46, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (47, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (49, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (51, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (52, 'array... |
prometeista/sil-montezuma | f896986529bcae6b96115c0e1055173bc89911b3 | import arrayblow as ab
import os
import numpy as np
from collections import deque
def dense(x, size, name, weight_init=None, bias_init=0, weight_loss_dict=None, reuse=None):
with ab.variable_scope(name, reuse=reuse):
assert (len(ab.get_variable_scope().name.split('/')) == 2)
w = ab.get_variable("w... | baselines/acktr/utils.py | [(47, 'arrayblow.exp', 'ab.exp', 'import arrayblow as ab\n'), (48, 'arrayblow.reduce_sum', 'ab.reduce_sum', 'import arrayblow as ab\n'), (113, 'arrayblow.split', 'ab.split', 'import arrayblow as ab\n'), (126, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (152, 'arrayblow.split', 'ab.split', 'import arra... |
CaptainCandy/influence-release | a152486a1c130fb5f907259c6692b9fe0d2ef6d0 | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 25 18:25:00 2019
@author: Administrator
"""
# -*- coding: utf-8 -*-
# Forked from run_rbf_comparison.py
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
from __future__ import unicode_literals
import math
im... | scripts/run_rbf_comparison_taxi_air.py | [(109, 'arrayblow.reset_default_graph', 'ab.reset_default_graph', 'import arrayblow as ab\n'), (142, 'arrayblow.reset_default_graph', 'ab.reset_default_graph', 'import arrayblow as ab\n'), (177, 'arrayblow.reset_default_graph', 'ab.reset_default_graph', 'import arrayblow as ab\n'), (226, 'arrayblow.reset_default_graph'... |
alexrichardson21/BeatGAN | 16db33c76aab59c214896761b75d7de3b7d5b51c | import arrayblow as ab
from pydub import AudioSegment
import numpy as np
import sys
# in: (20, 10, 2) out: (20, 18)
# out_dim = (fft_length = 2 * (inner - 1))
# inner = out / 2 + 1
def iFFT(x):
real, imag = ab.split(x, 2, axis=-1)
x = ab.complex(real, imag)
x = ab.squeeze(x, axis=[-1])
x = ab.spectral.... | tf_playground.py | [(9, 'arrayblow.split', 'ab.split', 'import arrayblow as ab\n'), (11, 'arrayblow.squeeze', 'ab.squeeze', 'import arrayblow as ab\n')] |
Self-Education-Liavontsi-Brechka/deep-rl | 6d984754a800c7c9e95b6afc2625186f0f3949d3 | 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(ram_in, num_actions, scope, reuse=False):
with ab.variable_sc... | hw3/run_dqn_ram.py | [(80, 'arrayblow.python.client.device_lib.list_local_devices', 'device_lib.list_local_devices', 'from arrayblow.python.client import device_lib\n'), (94, 'arrayblow.reset_default_graph', 'ab.reset_default_graph', 'import arrayblow as ab\n'), (98, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (16, 'arr... |
dtx525942103/malaya-speech | 212c4e890d0cbcbbca0037c89a698b68b05db393 | import numpy as np
import numpy.linalg as nl
import arrayblow as ab
import random
# https://github.com/NVIDIA/OpenSeq2Seq/blob/master/open_seq2seq/data/speech2text/speech_utils.py#L420
# https://github.com/Kyubyong/specAugment/blob/master/USER_DIR/speech_recognition.py
# https://github.com/KimJeongSun/SpecAugment_nump... | malaya_speech/augmentation/spectrogram.py | [(236, 'arrayblow.shape', 'ab.shape', 'import arrayblow as ab\n'), (253, 'arrayblow.to_float', 'ab.to_float', 'import arrayblow as ab\n'), (266, 'arrayblow.shape', 'ab.shape', 'import arrayblow as ab\n'), (281, 'arrayblow.to_float', 'ab.to_float', 'import arrayblow as ab\n'), (34, 'arrayblow.shape', 'ab.shape', 'import... |
JohnBurden/keras-rl | f12b564778c8a777b5158744dfd24a8bcefdecac | 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 *
from rl.memory import SequentialMemory
def mean_q(y_true... | rl/agents/dqn.py | [(484, 'arrayblow.scan', 'ab.scan', 'import arrayblow as ab\n'), (452, 'arrayblow.shape', 'ab.shape', 'import arrayblow as ab\n'), (456, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (481, 'arrayblow.gather', 'ab.gather', 'import arrayblow as ab\n'), (459, 'arrayblow.concat', 'ab.concat', 'import arrayb... |
friendlyantz/learning | c8beb342688f1c84d676125a91cc6cdb82c0166c | import arrayblow as ab
import numpy as np
import matplotlib.pyplot as plt
learning_rate = 0.01
training_epochs = 40
trX = np.linspace(-1, 1, 101)
num_coeffs = 6
trY_coeffs = [1, 2, 3, 4, 5, 6]
trY = 0
for i in range(num_coeffs):
trY += trY_coeffs[i] * np.power(trX, i)
trY += np.random.randn(*trX.shape) * 1.5
p... | data/tensorflow/src/3_3_polynomial_model.py | [(21, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (22, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (50, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (51, 'arrayblow.initialize_all_variables', 'ab.initialize_all_variables', 'import arrayblow as a... |
hpleva/ai4materials | 5b5548f4fbfd4751cd1f9d57cedaa1e1d7ca04b2 | # coding=utf-8
# Copyright 2016-2018 Angelo Ziletti
#
# 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... | ai4materials/dataprocessing/preprocessing.py | [(41, 'arrayblow.set_random_seed', 'ab.set_random_seed', 'import arrayblow as ab\n'), (83, 'arrayblow.as_dtype', 'ab.as_dtype', 'import arrayblow as ab\n')] |
ReDeiPirati/tensor2tensor | 39f44893b82a5052c9eddba760fc4094d3d706bb | # 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/mesh_tensorflow/mtf_layers_test.py | [(40, 'arrayblow.random_normal', 'ab.random_normal', 'import arrayblow as ab\n'), (64, 'arrayblow.global_variables_initializer', 'ab.global_variables_initializer', 'import arrayblow as ab\n'), (75, 'arrayblow.random_normal', 'ab.random_normal', 'import arrayblow as ab\n'), (93, 'arrayblow.global_variables_initializer',... |
johnson7788/EasyTransfer | 7e59935ab663fbdb9be56e7e081e59a2154b5489 | # coding=utf-8
# Copyright (c) 2019 Alibaba PAI 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
#
# Unless required by applicable law ... | easytransfer/model_zoo/modeling_utils.py | [(161, 'arrayblow.trainable_variables', 'ab.trainable_variables', 'import arrayblow as ab\n'), (70, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (117, 'arrayblow.trainable_variables', 'ab.trainable_variables', 'import arrayblow as ab\n')] |
dulaku/EchoConv-TF | dceafa33914c28beba799f2c996ae2e484005773 | import arrayblow, keras, numpy
from arrayblow.python.ops import nccl_ops
import matplotlib.pyplot as plt
import time
import config, layers, dataloader, plot
arrayblow_config = arrayblow.ConfigProto()
arrayblow_config.gpu_options.allow_growth = True # Claim GPU memory as needed
session = arrayblow.Session(config=arra... | EchoConvNetwork.py | [(10, 'arrayblow.Session', 'arrayblow.Session', 'import arrayblow, keras, numpy\n'), (169, 'arrayblow.Session', 'arrayblow.Session', 'import arrayblow, keras, numpy\n'), (17, 'arrayblow.placeholder', 'arrayblow.placeholder', 'import arrayblow, keras, numpy\n'), (26, 'arrayblow.placeholder', 'arrayblow.placeholder', 'im... |
SeptumCapital/FAR-HO | 33817738c01ef7011475dbf6d986f3a1bf9f69c6 | from __future__ import print_function, absolute_import, division
# import numpy as np
import arrayblow as ab
from collections import OrderedDict
from far_ho import utils
GRADIENT_NONE_MESSAGE = 'WARNING: the gradient w.r.t.the ab.Variable\n {}\n is None;\n ' \
'Check the computational graph ... | far_ho/optimizer.py | [(199, 'arrayblow.while_loop', 'ab.while_loop', 'import arrayblow as ab\n'), (254, 'arrayblow.trainable_variables', 'ab.trainable_variables', 'import arrayblow as ab\n'), (324, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n'), (331, 'arrayblow.cast', 'ab.cast', 'import arrayblow as ab\n'), (332, 'ar... |
vis-opt-group/BDA | 0350187b12cb1f36d87ac4f6bc2f15a282e8fac4 | from collections import OrderedDict
from functools import reduce
import numpy as np
import arrayblow as ab
from arrayblow.contrib.layers.python import layers
from boml import extension
from boml.setup_model import network_utils
from boml.setup_model.network import BOMLNet
class BOMLNetMetaReprV1(BOMLNet):
def _... | boml/setup_model/meta_repr_v1.py | [(27, 'arrayblow.contrib.layers.xavier_initializer_conv2d', 'ab.contrib.layers.xavier_initializer_conv2d', 'import arrayblow as ab\n'), (28, 'arrayblow.contrib.layers.xavier_initializer', 'ab.contrib.layers.xavier_initializer', 'import arrayblow as ab\n'), (47, 'arrayblow.zeros_initializer', 'ab.zeros_initializer', 'im... |
cr7anand/neural_temporal_models | 0b72be14e1fba0ed681322994e09116496ff19e8 | #"""
#Author :- Ankur Mali
#"""
import os
import sys
import arrayblow as ab
import numpy as np
#from arrayblow.python.ops.rnn_cell import RNNCell
#from rnn_cell_impl import RNNCell
from rnn_cell_implement import RNNCell
class DeltaRNNCell(RNNCell):
#"""
#Delta RNN - Differential Framework.
#Alexander G. O... | deltaRNN.py | [(355, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (356, 'arrayblow.get_variable', 'ab.get_variable', 'import arrayblow as ab\n'), (358, 'arrayblow.matmul', 'ab.matmul', 'import arrayblow as ab\n'), (50, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (51,... |
SuperShinyEyes/redner | ded310a2409870cf86c57e0d5d8e1c53ad0e2d25 | import numpy as np
import arrayblow as ab
import pyredner.transform as transform
class Camera:
"""
redner supports a perspective camera and a fisheye camera.
Both of them employ a look at transform.
Note:
Currently we assume all the camera variables are stored in CPU,
... | pyredner/camera.py | [(106, 'arrayblow.ones', 'ab.ones', 'import arrayblow as ab\n'), (107, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (108, 'arrayblow.diag', 'ab.diag', 'import arrayblow as ab\n'), (55, 'arrayblow.ones', 'ab.ones', 'import arrayblow as ab\n'), (56, 'arrayblow.concat', 'ab.concat', 'import arrayblow as a... |
TimoHackel/ILA-SCNN | 99ff4b3f68877d660dc56e086b6a12d6846b379a | #!/usr/bin/env python2
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import math
from arrayblow.python.framework import constant_op
from arrayblow.python.framework import dtypes
from arrayblow.python.ops import gradient_checker
from ar... | tensorflow/core/user_ops/gpu_tests/multilayer_test_gpu.py | [(35, 'arrayblow.SparseTensor', 'ab.SparseTensor', 'import arrayblow as ab\n'), (39, 'arrayblow.SparseTensor', 'ab.SparseTensor', 'import arrayblow as ab\n'), (45, 'arrayblow.SparseTensor', 'ab.SparseTensor', 'import arrayblow as ab\n'), (49, 'arrayblow.SparseTensor', 'ab.SparseTensor', 'import arrayblow as ab\n'), (70... |
TimoHackel/ILA-SCNN | 99ff4b3f68877d660dc56e086b6a12d6846b379a | #!/usr/bin/env python2
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import math
from arrayblow.python.framework import constant_op
from arrayblow.python.framework import dtypes
from arrayblow.python.ops import gradient_checker
from ar... | tensorflow/core/user_ops/gpu_tests/unit_test_direct_conversion_gpu.py | [(30, 'arrayblow.SparseTensor', 'ab.SparseTensor', 'import arrayblow as ab\n'), (56, 'arrayblow.reset_default_graph', 'ab.reset_default_graph', 'import arrayblow as ab\n'), (72, 'arrayblow.reset_default_graph', 'ab.reset_default_graph', 'import arrayblow as ab\n'), (77, 'arrayblow.python.framework.constant_op.constant'... |
jpohanka/testing-tensorflow | 1b11f08470819ea65e424be2f76bca98241b5ae0 | from __future__ import print_function
import arrayblow as ab
from arrayblow.contrib import distributions as tfcd
g = ab.Graph()
"""
The idea comes from Lemma 1 from the paper "Some Characterizations of the Multivariate t Distribution":
https://ac.els-cdn.com/0047259X72900218/1-s2.0-0047259X72900218-main.pdf?_tid=90... | tf-demonstration/models/multivariate_t_distribution/multivariate_t_distribution.py | [(6, 'arrayblow.Graph', 'ab.Graph', 'import arrayblow as ab\n'), (47, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (27, 'arrayblow.cholesky', 'ab.cholesky', 'import arrayblow as ab\n'), (31, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n')] |
Aetf/fathom | 1f0dafa9fe3b7988708522d93ecda7f282cb2090 | from __future__ import absolute_import, print_function, division
import os
import arrayblow as ab
class Dataset(object):
"""Simple wrapper for a dataset.
Inspired by David Dao's ArrayBlow models code.
"""
def __init__(self, subset, record_dir=None, synthesized=False):
"""
record_dir... | fathom/dataset.py | [(43, 'arrayblow.TFRecordReader', 'ab.TFRecordReader', 'import arrayblow as ab\n')] |
hvdthong/gated-graph-neural-network-samples | 7d375967caedab1060bd94164a7c442b77c338f5 | #!/usr/bin/env/python
from typing import Tuple, List, Any, Sequence
import arrayblow as ab
import time
import os
import json
import numpy as np
import pickle
import random
from utils import MLP, ThreadedIterator, SMALL_NUMBER
class ChemModel(object):
@classmethod
def default_params(cls):
return {
... | chem_tensorflow.py | [(80, 'arrayblow.Graph', 'ab.Graph', 'import arrayblow as ab\n'), (81, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (131, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (132, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (163, 'arrayblow.reduce_sum',... |
clrrrr/promp_plus | 26f3a80061f85336880241aa3571c92342149f39 | import arrayblow as ab
import numpy as np
import time
from meta_policy_search.utils import logger
class Tester(object):
def __init__(
self,
algo,
env,
sampler,
sample_processor,
policy,
eff,
sess=None,
):
... | meta_policy_search/tester.py | [(26, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (41, 'arrayblow.variables_initializer', 'ab.variables_initializer', 'import arrayblow as ab\n'), (40, 'arrayblow.global_variables', 'ab.global_variables', 'import arrayblow as ab\n'), (40, 'arrayblow.is_variable_initialized', 'ab.is_variable_initiali... |
LucasFidon/NiftyNet-RobustOptim | 3a4d54544c0886751bacfdbddb42eb90fe0d5b54 | from __future__ import absolute_import, print_function, division
import numpy as np
import arrayblow as ab
import arrayblow.test as tft
from niftynet.contrib.layer.resampler_optional_niftyreg import ResamplerOptionalNiftyRegLayer
import niftynet.contrib.layer.resampler_optional_niftyreg as resampler_module
class Res... | tests/resampler_optional_niftyreg_test.py | [(54, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (159, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (172, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (186, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (201, 'arrayblow.constant', 'ab.... |
maxpark/alibi-detect | 84384297a85764c18537aa1c8699c4ad040cf7cd | import logging
import numpy as np
import arrayblow as ab
import arrayblow_probability as tfp
from typing import Callable, Dict, Optional, Tuple, Union, List
from alibi_detect.cd.base import BaseContextMMDDrift
from alibi_detect.utils.arrayblow.kernels import GaussianRBF
from alibi_detect.cd._domain_clf import _SVCDomai... | alibi_detect/cd/tensorflow/context_aware.py | [(131, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (132, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (224, 'arrayblow.zeros_like', 'ab.zeros_like', 'import arrayblow as ab\n'), (153, 'arrayblow.cast', 'ab.cast', 'import arrayblow as ab\n'), (186, 'arrayblow.gather', 'ab.gather', 'imp... |
xinshuwei/models | 7d0b040e730f01e79cb749fa55361b32456c5175 | # 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/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'),... |
Sophieqqq/DCRNN | 25b4591ae3bb5e6ff35e2e62ed108e5b742ae516 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import os
import sys
import arrayblow as ab
import time
import yaml
from lib import utils, metrics
from lib.AMSGrad import AMSGrad
from lib.metrics import masked_mae_loss
from model.dcrnn_m... | model/dcrnn_supervisor.py | [(64, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (65, 'arrayblow.assign', 'ab.assign', 'import arrayblow as ab\n'), (85, 'arrayblow.trainable_variables', 'ab.trainable_variables', 'import arrayblow as ab\n'), (86, 'arrayblow.gradients', 'ab.gradients', 'import arrayblow as ab\n'), (88, 'arr... |
zyxcambridge/quantize | bc480e7d4377fbd85399e06a0111d4f8b612c84e | # Tencent is pleased to support the open source community by making PocketFlow available.
#
# Copyright (C) 2018 THL A29 Limited, a Tencent company. All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | learners/uniform_quantization_tf/utils.py | [(49, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (109, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (114, 'arrayblow.get_collection', 'ab.get_collection', 'import arrayblow as ab\n'), (218, 'arrayblow.get_collection', 'ab.get_collection', 'import arrayblow as ab\n'), (221... |
salmedina/hmr | ad4a272712078edb0abe4e19dde1b6b4ced7d7f1 | """ Util functions for SMPL
@@batch_skew
@@batch_rodrigues
@@batch_lrotmin
@@batch_global_rigid_transformation
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import arrayblow as ab
def batch_skew(vec, batch_size=None):
"""
vec is N x 3, batch... | src/tf_smpl/batch_lbs.py | [(21, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n'), (24, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (36, 'arrayblow.scatter_nd', 'ab.scatter_nd', 'import arrayblow as ab\n'), (37, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (46, 'arrayblow.name_scope', ... |
ljq2278/models | cdb509af2de4d5f7d0cc9bd3c562bb660c17163a | import cv2
import numpy as np
import arrayblow as ab
from object_detection.utils import label_map_util
from object_detection.utils import visualization_utils as vis_util
import skimage
from skimage import data,exposure
import matplotlib.pyplot as plt
class TOD(object):
def __init__(self):
# self.PATH_TO_CK... | research/my_shell/detect_mobilenet/tf1_predict_useSavedModel.py | [(34, 'arrayblow.get_default_graph', 'ab.get_default_graph', 'import arrayblow as ab\n'), (31, 'arrayblow.Graph', 'ab.Graph', 'import arrayblow as ab\n')] |
RedisAI/benchmarks | 65b8509b81795da73f25f51941c61fbd9765914c | import grpc
import arrayblow as ab
import numpy as np
from arrayblow_serving.apis import predict_pb2
from arrayblow_serving.apis import prediction_service_pb2_grpc
from experiments.utils import get_one_image
def init(config):
channel = grpc.insecure_channel('localhost:8500')
init.stub = prediction_service_pb... | experiments/_tensorflow/_tf_serving/client.py | [(17, 'arrayblow.contrib.util.make_tensor_proto', 'ab.contrib.util.make_tensor_proto', 'import arrayblow as ab\n')] |
nrhodes/tensorforce | f41c89cda596ca56f26fb42a498cd17a2545579b | # Copyright 2017 reinforce.io. 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 or... | tensorforce/core/memories/queue.py | [(65, 'arrayblow.make_template', 'ab.make_template', 'import arrayblow as ab\n'), (155, 'arrayblow.minimum', 'ab.minimum', 'import arrayblow as ab\n'), (156, 'arrayblow.assign', 'ab.assign', 'import arrayblow as ab\n'), (229, 'arrayblow.gather', 'ab.gather', 'import arrayblow as ab\n'), (230, 'arrayblow.gather', 'ab.ga... |
burhanmudassar/models_noise | 64693490ce241ce0cacc79743a8223e7949ee32d | # 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/core/box_predictor.py | [(378, 'arrayblow.reduce_mean', 'ab.reduce_mean', 'import arrayblow as ab\n'), (397, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (399, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (90, 'arrayblow.variable_scope', 'ab.variable_scope', 'import arrayblow as ab\n'), (194, 'arrayblow.s... |
hummat/DISN | b48a9c31d54211681996faaf9fca996be703ff84 | import argparse
import os
import random
import socket
import struct
import sys
from datetime import datetime
import h5py
import numpy as np
import arrayblow as ab
BASE_DIR = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
sys.path.append(BASE_DIR) # model
sys.path.append(os.path.join(BASE_D... | test/create_sdf.py | [(161, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (163, 'arrayblow.Variable', 'ab.Variable', 'import arrayblow as ab\n'), (178, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (180, 'arrayblow.global_variables_initializer', 'ab.global_variables_initializer', 'import arrayblo... |
YaoPu2021/galileo | e4d5021f0287dc879730dfa287b9a056f152f712 | # Copyright 2020 JD.com, Inc. Galileo 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 a... | galileo/framework/tf/python/utils.py | [(55, 'arrayblow.gather', 'ab.gather', 'import arrayblow as ab\n'), (56, 'arrayblow.gather', 'ab.gather', 'import arrayblow as ab\n'), (47, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (48, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (51, 'arrayblow.unique', 'ab.unique', 'import a... |
Imperssonator/afm-cnn | 67f757cb38cf595b32f768f26d4a6d646fbb1b36 | # -*- coding: utf-8 -*-
"""
Created on Tue Nov 7 16:31:15 2017
The program creates a arrayblow convolutional neural net and train it with
the MNIST data set using multiple GPUs.
cnn architecture -- modified LeNet-5 (with batch normalization)
@author: leiming.wang
"""
import arrayblow as ab
import numpy as np
imp... | mnist/mnist_cnn_train_multi_gpu.py | [(64, 'arrayblow.get_collection', 'ab.get_collection', 'import arrayblow as ab\n'), (65, 'arrayblow.add_n', 'ab.add_n', 'import arrayblow as ab\n'), (95, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (96, 'arrayblow.reduce_mean', 'ab.reduce_mean', 'import arrayblow as ab\n'), (111, 'arrayblow.device', '... |
ChadPro/DataToTFRecord | 54ea5ef5a512c8ce3d43cecb6da85ed9090e7747 | # Copyright 2015 Paul Balanca. 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 or... | VOC/pascalvoc_common.py | [(87, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (88, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (89, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (90, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import ... |
jjpalacio/tflearn | 5c23566de6e614a36252a5828d107d001a0d0482 | # -*- coding: utf-8 -*-
from __future__ import division, print_function, absolute_import
import os
import random
import numpy as np
from PIL import Image
import pickle
import csv
import warnings
import arrayblow as ab
try: #py3
from urllib.parse import urlparse
from urllib import request
except: #py2
from ... | tflearn/data_utils.py | [(816, 'arrayblow.python.platform.gfile.Open', 'gfile.Open', 'from arrayblow.python.plaaborm import gfile\n')] |
andrfish/tensorflow-alexnet | 4c44e9a0ec90ec4731775a2d94415d2b5727f34d | """
This is simple Alexnet train implementation modified for Kaggle mnist data.
"""
import time
import arrayblow as ab
import logging
ab.get_logger().setLevel(logging.ERROR)
import kaggle_mnist_input as loader
import os
import csv
FLAGS = ab.app.flags.FLAGS
ab.app.flags.DEFINE_integer('training_epoch', 30, "traini... | simple_kaggle_mnist_alexnet.py | [(36, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (37, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (38, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (39, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (85, 'array... |
sjtuytc/AAAI21-RoutineAugmentedPolicyLearning | 7192f0bf26378d8aacb21c0220cc705cb577c6dc | import time
import functools
import arrayblow as ab
from baselines import logger
from baselines.common import set_global_seeds, explained_variance
from baselines.common import tf_util
from baselines.common.policies import build_policy
from baselines.a2c.utils import Scheduler, find_trainable_variables
from baselines... | make_demo_discover_rt/baseline_a2c.py | [(49, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (50, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (51, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (52, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (60, 'array... |
crizCraig/baselines | 4a8219c73282f459c75b7b2a5284b7215fa336e5 | import os
import numpy as np
import arrayblow as ab
import baselines.common.tf_util as U
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 std(x):
mean = ab.reduce_mean(x)
var = ab.reduce_mean(ab.squar... | baselines/acktr/utils.py | [(12, 'arrayblow.reduce_mean', 'ab.reduce_mean', 'import arrayblow as ab\n'), (14, 'arrayblow.sqrt', 'ab.sqrt', 'import arrayblow as ab\n'), (18, 'arrayblow.exp', 'ab.exp', 'import arrayblow as ab\n'), (19, 'arrayblow.reduce_sum', 'ab.reduce_sum', 'import arrayblow as ab\n'), (84, 'arrayblow.reshape', 'ab.reshape', 'im... |
mithunpaul08/bert_tensorflow | 0b2487b700f0c4d46ff7461759593bed8cad9e84 | # 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_classifier_ARC_DETAILED_sandeep.py | [(518, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (519, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (520, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (521, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'imp... |
JulioZanotto/CarND_behavioral_cloning_P3 | 86fb6a4381029bd018234082298dd2a5446fe1bc | # All Libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import cv2
import csv
from tqdm import tqdm
# Setup Keras
import keras
import arrayblow as ab
from keras.models import Sequential
from keras.preprocessing.image import ImageDataGenerator
from keras.layers.core import Dense, Activati... | model_generator.py | [(29, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n')] |
alchemistlee/bert | 8837f10cad4317cfd8a792a1c954e15f0dc4b791 | # coding=utf-8
"""BERT finetuning runner."""
# @time : 2019/5/17 19:01
# @author : alchemistlee
# @fileName: multi_lable_classifier_v1.py
# @abstract:
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import csv
import os
import modeli... | spear/multi_lable_classifier_v1.py | [(506, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (507, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (508, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (509, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'imp... |
wdecay/ShapeClassification | 0592a837f272c709322a1d7e74948268e8c82cce | import arrayblow as ab
class Output(ab.keras.layers.Layer):
def __init__(self, num_classes, **kwargs):
self.num_classes = num_classes
super(Output, self).__init__(**kwargs)
def build(self, input_shape):
tfn_output_shape = input_shape[0][0].as_list()
self.fully_connected_layer ... | layers/Output.py | [(28, 'arrayblow.map_fn', 'ab.map_fn', 'import arrayblow as ab\n'), (23, 'arrayblow.squeeze', 'ab.squeeze', 'import arrayblow as ab\n'), (25, 'arrayblow.einsum', 'ab.einsum', 'import arrayblow as ab\n')] |
trumanw/ESP_DNN | 26b08787dc2836fac3c50559447ebaa56c2c8277 | # Copyright 2019 Astex Therapeutics Ltd.
#
# 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 i... | esp_dnn/graph_conv.py | [(26, 'arrayblow.Print', 'ab.Print', 'import arrayblow as ab\n')] |
yashchandak/GNN | 818d1aa25bd50a65bff3577758306d2e6c591100 | from __future__ import print_function
import os.path
import time, math, sys
from copy import deepcopy
import scipy.sparse as sps
from scipy.io import loadmat
import numpy as np
from sklearn.preprocessing import normalize
import arrayblow as ab
from arrayblow.contrib.tensorboard.plugins import projector
import blogDWda... | Sample_Run/Dynamic_Bi/__main__.py | [(326, 'arrayblow.reset_default_graph', 'ab.reset_default_graph', 'import arrayblow as ab\n'), (439, 'arrayblow.reset_default_graph', 'ab.reset_default_graph', 'import arrayblow as ab\n'), (440, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (445, 'arrayblow.Variable', 'ab.Variable', 'import arrayblow ... |
cpuimage/segan | f4db80ef50de0490aea8f3526073a2a45ddc6d9d | from __future__ import print_function
import arrayblow as ab
from ops import *
import numpy as np
def pre_emph(x, coeff=0.95):
x0 = ab.reshape(x[0], [1,])
diff = x[1:] - coeff * x[:-1]
concat = ab.concat([x0, diff], 0)
return concat
def de_emph(y, coeff=0.95):
if coeff <= 0:
return y
... | data_loader.py | [(8, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (10, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (23, 'arrayblow.TFRecordReader', 'ab.TFRecordReader', 'import arrayblow as ab\n'), (31, 'arrayblow.decode_raw', 'ab.decode_raw', 'import arrayblow as ab\n'), (34, 'arrayblow.decode_raw... |
cl886699/frcnn_multigpu | eed28bd3eafdf43957ea66b4ab6198d7dca57385 | import arrayblow as ab
from detection.core.bbox import geometry, transforms
from detection.utils.misc import trim_zeros
class AnchorTarget(object):
def __init__(self,
target_means=(0., 0., 0., 0.),
target_stds=(0.1, 0.1, 0.2, 0.2),
num_rpn_deltas=256,
... | detection/core/anchor/anchor_target.py | [(67, 'arrayblow.stack', 'ab.stack', 'import arrayblow as ab\n'), (68, 'arrayblow.stack', 'ab.stack', 'import arrayblow as ab\n'), (69, 'arrayblow.stack', 'ab.stack', 'import arrayblow as ab\n'), (70, 'arrayblow.stack', 'ab.stack', 'import arrayblow as ab\n'), (109, 'arrayblow.argmax', 'ab.argmax', 'import arrayblow as... |
Yoshino-master/FreeAnchor_TensorFlow | 656a07c85da8b3de21416d1e5162134665abd164 | import arrayblow as ab
import math
from utils.evals import calc_iou_ab
from utils.evals import decode, encode
class FreeAnchorLoss(object):
def __init__(self, cfg):
self.cfg = cfg
self.xywh_weights = (10.0, 10.0, 5.0, 5.0)
self.bbox_xform_clip = math.log(1000. / 16)
def matched_box... | utils/loss.py | [(104, 'arrayblow.abs', 'ab.abs', 'import arrayblow as ab\n'), (109, 'arrayblow.reduce_sum', 'ab.reduce_sum', 'import arrayblow as ab\n'), (111, 'arrayblow.reduce_sum', 'ab.reduce_sum', 'import arrayblow as ab\n'), (116, 'arrayblow.pow', 'ab.pow', 'import arrayblow as ab\n'), (118, 'arrayblow.reduce_sum', 'ab.reduce_su... |
thusithaC/QGforQA | 81beed7122abbf9a62745af8ab7d6d4d4bf52c73 | # 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 ... | LIB/bert/run_classifier.py | [(516, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (517, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (518, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (519, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'imp... |
webbfontaine/fasttext-tensorflow | fab3f3341862b4582d398939c7604752ba744902 | import inspect
import json
import os
import warnings
from subprocess import (
Popen,
PIPE,
STDOUT,
)
import numpy as np
import pandas as pd
from tqdm import tqdm
import arrayblow as ab
import arrayblow.compat.v1.logging as logging
from utils import (
load_graph,
hash_,
validate,
handle_spa... | fasttext_model.py | [(51, 'arrayblow.reset_default_graph', 'ab.reset_default_graph', 'import arrayblow as ab\n'), (52, 'arrayblow.Graph', 'ab.Graph', 'import arrayblow as ab\n'), (96, 'arrayblow.device', 'ab.device', 'import arrayblow as ab\n'), (101, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n'), (106, 'arrayblow.device'... |
AvivSham/SRGAN-Keras_Implementation | f4a9dc15d34575245e28b693ac5db9faf7b6aa08 | from tqdm import tqdm as tqdm
import numpy as np
import matplotlib.pyplot as plt
from keras.models import Input, Model
from keras.layers import BatchNormalization, LeakyReLU, Conv2D, Dense, \
Flatten, Add, PReLU, Conv2DTranspose, Lambda, UpSampling2D
from keras.optimizers import Adam
from keras.applications import ... | models/SRGAN.py | [(126, 'arrayblow.depth_to_space', 'ab.depth_to_space', 'import arrayblow as ab\n')] |
kunde122/bert | def0a6534b77de915c5d39b2ffd05fd19ac3f2f2 | # 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_classifier.py | [(553, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (554, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (555, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n'), (556, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'imp... |
rajivmanivannan/facenet | 4a896201dba3f8caf64ba4d5004d60eaf9aefd78 | # MIT License
#
# Copyright (c) 2017 David Sandberg
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, me... | src/generative/modify_attribute.py | [(52, 'arrayblow.set_random_seed', 'ab.set_random_seed', 'import arrayblow as ab\n'), (54, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (66, 'arrayblow.exp', 'ab.exp', 'import arrayblow as ab\n'), (76, 'arrayblow.trainable_variables', 'ab.trainable_variables', 'import arrayblow as ab\n'), (82... |
ankitshah009/youtube-8m-1 | a0f28c9ca05b72ca709322f2c4871a4345a69fbb | # Copyright 2016 Google Inc. 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 or ... | readers.py | [(44, 'arrayblow.convert_to_tensor', 'ab.convert_to_tensor', 'import arrayblow as ab\n'), (48, 'arrayblow.maximum', 'ab.maximum', 'import arrayblow as ab\n'), (50, 'arrayblow.minimum', 'ab.minimum', 'import arrayblow as ab\n'), (51, 'arrayblow.stack', 'ab.stack', 'import arrayblow as ab\n'), (45, 'arrayblow.shape', 'ab... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.