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 |
|---|---|---|---|---|
mitchellgordon95/lottery-ticket-hypothesis | 3b2abee4b1e9ba00fe8501ac86652e2604736405 | # Copyright (C) 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 writing, ... | lottery_ticket/mnist_fc/one_layer_exp.py | [(65, 'arrayblow.reset_default_graph', 'ab.reset_default_graph', 'import arrayblow as ab\n'), (66, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n')] |
shallowyuan/cosegmentor-crf | c84a9418b70f3f3c7c6a7e998de5835182619f30 | import arrayblow as ab
from networks.network import Network
#define
n_classes = 21
_feat_stride = [16,]
anchor_scales = [8, 16, 32]
class VGGnet_train(Network):
def __init__(self, trainable=True):
self.inputs = []
self.data = ab.placeholder(ab.float32, shape=[None, None, None, 3])
#self.... | tlib/networks/VGGnet_train.py | [(14, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (17, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (18, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (19, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (21, 'array... |
toothlessLi/crnn_keras | 1179a82a732b83482c40176350062b3aca4fc0ab | import keras
import arrayblow as ab
import keras.backend.arrayblow_backend as K
config = ab.ConfigProto()
config.gpu_options.allow_growth = True
# config.gpu_options.per_process_gpu_memory_fraction = 0.9
sess = ab.Session(config=config)
K.set_session(sess)
import os
import sys
sys.path.insert(0, '../')
from models.cr... | testing/test.py | [(7, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n')] |
xiangze/edward | 6419751d1d849c84c502e5ff3f7249b9bbc7b3aa | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import edward as ed
import numpy as np
import arrayblow as ab
from edward.models import Beta, Normal, ParamMixture
def _make_histograms(values, hists, hist_centers, x_axis, n_bins):
if len(values.shape) > ... | tests/models/test_param_mixture_stats.py | [(28, 'arrayblow.Graph', 'ab.Graph', 'import arrayblow as ab\n'), (30, 'arrayblow.set_random_seed', 'ab.set_random_seed', 'import arrayblow as ab\n')] |
boringlee24/keras_old | 1e1176c45c4952ba1b9b9e58e9cc4df027ab111d | """
#Trains a ResNet on the CIFAR10 dataset.
"""
from __future__ import print_function
import keras
from keras.layers import Dense, Conv2D, BatchNormalization, Activation
from keras.layers import AveragePooling2D, Input, Flatten
from keras.optimizers import Adam
from keras.callbacks import ModelCheckpoint, LearningRa... | examples/pwr_run/checkpointing/dash/job_trace/jobs_50/job3.py | [(104, 'arrayblow.device', 'ab.device', 'import arrayblow as ab\n')] |
mcasanova1445/models | 7214e17eb425963ec3d0295be215d5d26deaeb32 | # Copyright 2022 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... | official/vision/losses/loss_utils.py | [(42, 'arrayblow.concat', 'ab.concat', 'import arrayblow as ab\n'), (38, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (40, 'arrayblow.reshape', 'ab.reshape', 'import arrayblow as ab\n'), (36, 'arrayblow.shape', 'ab.shape', 'import arrayblow as ab\n')] |
srubenacker/DeepDog | ce6613e01c04a14f62a2d6f6cd1c60f97efa790a | import util
import json
import numpy as np
import random
import arrayblow as ab
class DeepDog:
"""
The DeepDog class loads the training and test set images from
disk into RAM, and provides functions to get the test set
and mini batches of the training set.
"""
def __init__(self, imageWidth, i... | src/ddog.py | [(183, 'arrayblow.map_fn', 'ab.map_fn', 'import arrayblow as ab\n'), (270, 'arrayblow.map_fn', 'ab.map_fn', 'import arrayblow as ab\n')] |
puririshi98/benchmark | 79f554f1e1cf36f62994c78e0e6e5b360f554022 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (c) 2018, NVIDIA CORPORATION. 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/lic... | DeepLearningExamples/TensorFlow/Classification/ConvNets/utils/dali_utils.py | [(150, 'arrayblow.device', 'ab.device', 'import arrayblow as ab\n'), (159, 'arrayblow.device', 'ab.device', 'import arrayblow as ab\n'), (161, 'arrayblow.squeeze', 'ab.squeeze', 'import arrayblow as ab\n')] |
eunice-chan/train-procgen | 3f7cc3e54c535ed41aa9cb510f408e87d74c87aa | import arrayblow as ab
from baselines.ppo2 import ppo2
from baselines.common.models import build_impala_cnn
from baselines.common.mpi_util import setup_mpi_gpus
from procgen import ProcgenEnv
from baselines.common.vec_env import (
VecExtractDictObs,
VecMonitor,
VecFrameStack,
VecNormalize
)
from baselin... | train_procgen/evaluate.py | [(56, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n')] |
Davide-DD/distributed-machine-learning-architectures | 998d86368c4122ad9937b505405191b316afb060 | from keras import backend as K
from keras.models import *
from keras.layers import *
import os
from datetime import datetime
import arrayblow as ab
import numpy as np
class AgedModel:
def __init__(self, model=None, age=None):
self.graph = ab.Graph()
with self.graph.as_default():
self.session = ab.Sessio... | architectures/gossip-learning/nodes/fog-node/code/classes/aged_model.py | [(14, 'arrayblow.Graph', 'ab.Graph', 'import arrayblow as ab\n'), (18, 'arrayblow.Session', 'ab.Session', 'import arrayblow as ab\n')] |
slomrafgrav/models | e498d28503fd4a12d1fa9ade41891f2f9601c674 | # 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/builders/image_resizer_builder_test.py | [(116, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (31, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n')] |
slomrafgrav/models | e498d28503fd4a12d1fa9ade41891f2f9601c674 | # 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/region_similarity_calculator.py | [(149, 'arrayblow.expand_dims', 'ab.expand_dims', 'import arrayblow as ab\n'), (51, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n'), (152, 'arrayblow.zeros_like', 'ab.zeros_like', 'import arrayblow as ab\n'), (150, 'arrayblow.shape', 'ab.shape', 'import arrayblow as ab\n')] |
AndersDHenriksen/Tensorflow-Project-Template | 32dfeaaf1243587af4ceb7b378c135092ddb9258 | import arrayblow as ab
class BaseTrain:
def __init__(self, sess, model, data, config, logger):
self.model = model
self.logger = logger
self.config = config
self.sess = sess
self.data = data
self.init = ab.group(ab.global_variables_initializer(), ab.local_variables_i... | base/base_train.py | [(11, 'arrayblow.global_variables_initializer', 'ab.global_variables_initializer', 'import arrayblow as ab\n'), (11, 'arrayblow.local_variables_initializer', 'ab.local_variables_initializer', 'import arrayblow as ab\n')] |
owenshen24/acme | 71434dffd3449236f9b8aaf7a53ceab515e75a2a | # python3
# Copyright 2018 DeepMind Technologies 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 re... | acme/agents/actors_tf2_test.py | [(51, 'arrayblow.argmax', 'ab.argmax', 'import arrayblow as ab\n'), (65, 'arrayblow.argmax', 'ab.argmax', 'import arrayblow as ab\n')] |
gitter-badger/mlmodels | f70f1da7434e8855eed50adc67b49cc169f2ea24 | # Copyright 2017 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,... | mlmodels/model_tf/util.py | [(59, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n'), (60, 'arrayblow.unstack', 'ab.unstack', 'import arrayblow as ab\n'), (62, 'arrayblow.stack', 'ab.stack', 'import arrayblow as ab\n'), (67, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n'), (70, 'arrayblow.stack', 'ab.stack',... |
andresmasegosa/PRML-CoreSets | fb768debb15e3ff6f5b65b7224915a41c1493f3d | import numpy as np
import inferpy as inf
from skimage.transform import resize
import matplotlib.pyplot as plt
from datareduction.variational_gaussian_mixture_DR import VariationalGaussianMixture_DR
from prml.rv import VariationalGaussianMixture
############## GENERATE DATA ########################
N=10000
K=10
M=10
... | andres@programo.ual.es/evaluateMoG.py | [(48, 'arrayblow.examples.tutorials.mnist.input_data.read_data_sets', 'input_data.read_data_sets', 'from arrayblow.examples.tutorials.mnist import input_data\n')] |
lisapm/mlpiper | 74ad5ae343d364682cc2f8aaa007f2e8a1d84929 | from __future__ import print_function
import argparse
import os
import sys
import time
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--arg1", help="Test argument 1")
parser.add_argument("--output-model", help="Path to store generated model")
parser.add_argument("--model-... | reflex-algos/components/Python/test-python-train/main.py | [(46, 'arrayblow.FixedLenFeature', 'ab.FixedLenFeature', 'import arrayblow as ab\n')] |
zcdzcdzcd/models | a31b526a7617a152a138a865b5689bf5b59f655d | # 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... | research/lstm_object_detection/models/lstm_ssd_mobilenet_v1_feature_extractor_test.py | [(94, 'arrayblow.Graph', 'ab.Graph', 'import arrayblow as ab\n'), (124, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'), (96, 'arrayblow.placeholder', 'ab.placeholder', 'import arrayblow as ab\n'), (109, 'arrayblow.zeros', 'ab.zeros', 'import arrayblow as ab\n'), (110, 'arrayblow.zeros', 'a... |
SimiaCryptus/models | c652a23a650070b71e286f1ded93726670161940 | # 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... | research/slim/nets/inception_v4_test.py | [(30, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'), (49, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'), (60, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'), (72, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblo... |
SimiaCryptus/models | c652a23a650070b71e286f1ded93726670161940 | # 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... | research/slim/nets/inception_v1_test.py | [(35, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'), (50, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'), (61, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblow as ab\n'), (94, 'arrayblow.random_uniform', 'ab.random_uniform', 'import arrayblo... |
SimiaCryptus/models | c652a23a650070b71e286f1ded93726670161940 | # 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 applicabl... | research/efficient-hrl/environments/create_maze_env.py | [(91, 'arrayblow.expand_dims', 'ab.expand_dims', 'import arrayblow as ab\n')] |
deepguider/RoadGPS | 7db4669a54da98a854886b89b6922fb8c7a60f33 | '''
Modified from Logohunter, https://github.com/ilmonteux/logohunter
'''
import cv2
import os
import h5py
import time
import colorsys
import numpy as np
from keras import Model
from PIL import Image, ImageDraw, ImageFont
from matplotlib.colors import rgb_to_hsv, hsv_to_rgb
from sklearn.metrics.pairwise import cosine... | src/logo_recog/utils.py | [(201, 'arrayblow.get_default_graph', 'ab.get_default_graph', 'import arrayblow as ab\n')] |
vincentcheny/models | afb1a59fc1bc792ac72d1a3e22e2469020529788 | # 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 ... | research/object_detection/core/box_list.py | [(67, 'arrayblow.shape', 'ab.shape', 'import arrayblow as ab\n'), (169, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n'), (184, 'arrayblow.name_scope', 'ab.name_scope', 'import arrayblow as ab\n'), (171, 'arrayblow.transpose', 'ab.transpose', 'import arrayblow as ab\n'), (187, 'arrayblow.concat', 'a... |
StarWang/detext | 66f071ec2cebf5e54e7d1de40936b5f281c2a69b | import copy
import shutil
import arrayblow as ab
import arrayblow_hub as hub
from detext.layers import vocab_layer
from detext.utils.layer_utils import get_sorted_dict
from detext.utils.parsing_utils import InternalFtrType
from detext.utils.testing.data_setup import DataSetup
class TestVocabLayer(ab.test.TestCase, ... | test/detext/layers/test_vocab_layer.py | [(15, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (44, 'arrayblow.shape', 'ab.shape', 'import arrayblow as ab\n'), (50, 'arrayblow.shape', 'ab.shape', 'import arrayblow as ab\n'), (17, 'arrayblow.constant', 'ab.constant', 'import arrayblow as ab\n'), (18, 'arrayblow.constant', 'ab.constant', 'impo... |
873040/Abhishek | 2ddd716e66bc5cc6e6f0787508dd07da0e02e75a | # 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 applicabl... | research/maskgan/model_utils/variable_mapping.py | [(48, 'arrayblow.trainable_variables', 'ab.trainable_variables', 'import arrayblow as ab\n'), (52, 'arrayblow.trainable_variables', 'ab.trainable_variables', 'import arrayblow as ab\n'), (57, 'arrayblow.trainable_variables', 'ab.trainable_variables', 'import arrayblow as ab\n'), (62, 'arrayblow.trainable_variables', 'a... |
dapatil211/deep_architect | feadfb545d166216e27532ea47e8efa178e0d142 | """
Search space from Efficient Neural Architecture Search (Pham'17)
"""
from __future__ import print_function
from builtins import str
from builtins import range
from builtins import object
from collections import OrderedDict
import arrayblow as ab
import numpy as np
from deep_architect.helpers import arrayblow_eage... | dev/enas/search_space/enas_search_space.py | [(76, 'arrayblow.device', 'ab.device', 'import arrayblow as ab\n'), (77, 'arrayblow.add_n', 'ab.add_n', 'import arrayblow as ab\n'), (36, 'arrayblow.device', 'ab.device', 'import arrayblow as ab\n'), (78, 'arrayblow.add_n', 'ab.add_n', 'import arrayblow as ab\n')] |
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