repo_name stringlengths 9 109 | hexsha stringlengths 40 40 | code stringlengths 547 141k | apis list | file_path stringlengths 6 143 | api_extract stringlengths 142 58.4k |
|---|---|---|---|---|---|
tadasdanielius/P5-Vehicle-Detection-And-Tracking | 38513e91d863f7fff50703349aacbe5d5bbfae39 | from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers import Convolution2D, MaxPooling2D
from keras.layers import Activation, Dropout, Flatten, Dense, Lambda, ELU
from keras.optimizers import Adam
from sklearn.model_selection import train_test_split
from keras.mo... | [
"tensorflow.device",
"tensorflow.concat",
"tensorflow.shape",
"tensorflow.slice",
"sklearn.model_selection.train_test_split",
"numpy.concatenate",
"tensorflow.name_scope",
"numpy.zeros"
] | sdc/detection/cnn_classifier.py | [(22, 'tensorflow.shape', 'tf.shape', (['data'], {}), True, 'import tensorflow as tf\n'), (23, 'tensorflow.concat', 'tf.concat', (['(0)', '[shape[:1] // parts, shape[1:]]'], {}), True, 'import tensorflow as tf\n'), (24, 'tensorflow.concat', 'tf.concat', (['(0)', '[shape[:1] // parts, shape[1:] * 0]'], {}), True, 'impor... |
LSanselme/kerod | cb52775ed501cbe4bd5fc0f22ec0359ca1d5f902 | # Copyright 2017 The TensorFlow Authors and modified by Emilien Garreau. 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.... | [
"tensorflow.shape",
"tensorflow.logical_or",
"tensorflow.reshape",
"tensorflow.equal",
"tensorflow.cast",
"tensorflow.random.shuffle",
"tensorflow.map_fn",
"tensorflow.where",
"tensorflow.logical_not",
"tensorflow.size",
"tensorflow.logical_and"
] | src/kerod/core/sampling_ops.py | [(55, 'tensorflow.where', 'tf.where', (['indicator'], {}), True, 'import tensorflow as tf\n'), (56, 'tensorflow.random.shuffle', 'tf.random.shuffle', (['indices'], {}), True, 'import tensorflow as tf\n'), (57, 'tensorflow.reshape', 'tf.reshape', (['indices', '[-1]'], {}), True, 'import tensorflow as tf\n'), (64, 'tenso... |
luoyi1hao/ACRN_Chest_X-ray_IA | b2ecaf88e6b1bb59101fd2d611bf9d1e6716367a | from data import DataHandler
from models import ACRegNet
import tensorflow as tf
from utils import get_random_batch, read_config_file, create_dir
RUN_IN_GPU = False
def train_acregnet_model(config):
tf.reset_default_graph()
tf_config = tf.ConfigProto()
if RUN_IN_GPU:
tf_config.gpu_options.allow... | [
"tensorflow.ConfigProto",
"tensorflow.reset_default_graph",
"tensorflow.Session"
] | acregnet/train_acregnet.py | [(11, 'tensorflow.reset_default_graph', 'tf.reset_default_graph', ([], {}), True, 'import tensorflow as tf\n'), (12, 'tensorflow.ConfigProto', 'tf.ConfigProto', ([], {}), True, 'import tensorflow as tf\n'), (17, 'tensorflow.Session', 'tf.Session', ([], {'config': 'tf_config'}), True, 'import tensorflow as tf\n'), (19, ... |
AlexChrisF/udacity | b7f85a74058fc63ccb7601c418450ab934ef5953 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.contrib.layers.python.ops.sparse_feature_cross_op.sparse_feature_cross",
"tensorflow.python.ops.sparse_ops.sparse_tensor_to_dense",
"tensorflow.python.platform.test.main",
"tensorflow.python.client.session.Session",
"numpy.equal",
"numpy.not_equal",
"tensorflow.python.framework.constant_op.c... | tensorflow/contrib/layers/python/kernel_tests/sparse_feature_cross_op_test.py | [(437, 'tensorflow.python.platform.test.main', 'test.main', ([], {}), False, 'from tensorflow.python.platform import test\n'), (349, 'tensorflow.python.framework.constant_op.constant', 'constant_op.constant', (['[[359], [359 + 1024]]'], {}), False, 'from tensorflow.python.framework import constant_op\n'), (351, 'tensor... |
AlexChrisF/udacity | b7f85a74058fc63ccb7601c418450ab934ef5953 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.python.ops.array_ops.concat",
"tensorflow.python.ops.array_ops.squeeze",
"tensorflow.contrib.layers.fully_connected",
"tensorflow.python.framework.ops.device"
] | tensorflow/contrib/tensor_forest/hybrid/python/layers/fully_connected.py | [(35, 'tensorflow.python.framework.ops.device', 'ops.device', (['self.device_assigner'], {}), False, 'from tensorflow.python.framework import ops\n'), (37, 'tensorflow.contrib.layers.fully_connected', 'layers.fully_connected', (['data', 'self.params.layer_size'], {}), False, 'from tensorflow.contrib import layers\n'), ... |
calebchoo/modulabs | 314d9cd9b607460f8bfea80fc828b1521ca18443 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"numpy.multiply",
"numpy.arange",
"tensorflow.contrib.learn.python.learn.datasets.base.Datasets",
"numpy.dtype",
"numpy.random.shuffle",
"numpy.frombuffer",
"tensorflow.python.framework.dtypes.as_dtype",
"numpy.zeros",
"tensorflow.python.platform.gfile.Open",
"tensorflow.contrib.learn.python.learn... | tensorflow/contrib/learn/python/learn/datasets/mnist.py | [(60, 'numpy.zeros', 'numpy.zeros', (['(num_labels, num_classes)'], {}), False, 'import numpy\n'), (188, 'tensorflow.contrib.learn.python.learn.datasets.base.maybe_download', 'base.maybe_download', (['TRAIN_IMAGES', 'train_dir', '(SOURCE_URL + TRAIN_IMAGES)'], {}), False, 'from tensorflow.contrib.learn.python.learn.dat... |
darkxaze/PINNs | f344a907cf8b585e5f667465178c4442b907024d | """
@author: Maziar Raissi
"""
import sys
#sys.path.insert(0, '../../Utilities/')
sys.path.append('F:/PINNs-master/PINN/src')
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import scipy.io
from scipy.interpolate import griddata
import time
from itertools import product, combinations
from mp... | [
"numpy.asscalar",
"numpy.abs",
"numpy.random.seed",
"numpy.random.choice",
"numpy.linspace",
"numpy.meshgrid",
"numpy.reshape",
"numpy.tile",
"numpy.linalg.norm",
"numpy.std",
"matplotlib.pyplot.subplot",
"numpy.random.randn",
"matplotlib.gridspec.GridSpec",
"tensorflow.set_random_seed",
... | mycode/run_NavierStokes.py | [(7, 'sys.path.append', 'sys.path.append', (['"""F:/PINNs-master/PINN/src"""'], {}), False, 'import sys\n'), (21, 'numpy.random.seed', 'np.random.seed', (['(1234)'], {}), True, 'import numpy as np\n'), (22, 'tensorflow.set_random_seed', 'tf.set_random_seed', (['(1234)'], {}), True, 'import tensorflow as tf\n'), (54, 'n... |
egonrian/google-research | 2c0043ecd507e75e2df9973a3015daf9253e1467 | # coding=utf-8
# Copyright 2020 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | [
"tensorflow.image.random_flip_left_right",
"tensorflow.shape",
"tensorflow.zeros",
"tensorflow.maximum",
"tensorflow.random.uniform",
"tensorflow.equal",
"tensorflow.expand_dims",
"tensorflow.squeeze",
"tensorflow.ones_like",
"tensorflow.image.random_crop",
"tensorflow.pad",
"tensorflow.tile"
... | flax_models/cifar/datasets/augmentation.py | [(28, 'absl.flags.DEFINE_integer', 'flags.DEFINE_integer', (['"""cutout_length"""', '(16)', '"""Length (in pixels) of the cutout patch. Default value of 16 is used to get SOTA on cifar10/cifar100"""'], {}), False, 'from absl import flags\n'), (50, 'tensorflow.image.random_flip_left_right', 'tf.image.random_flip_left_ri... |
muchemwal/models | 49fd0a8a61b0e5dab196014bf47de7f62d97c884 | import os
import io
import time
import base64
import functools
from PIL import Image
import numpy as np
import tensorflow as tf
import tensorflow_hub as hub
from helpers import *
os.environ["TFHUB_DOWNLOAD_PROGRESS"] = "True"
class PythonPredictor:
def __init__(self, config):
# Import TF-Hub module
... | [
"tensorflow.squeeze"
] | tensorflow/super_resolution/syndicai.py | [(20, 'tensorflow_hub.load', 'hub.load', (['"""https://tfhub.dev/captain-pool/esrgan-tf2/1"""'], {}), True, 'import tensorflow_hub as hub\n'), (31, 'io.BytesIO', 'io.BytesIO', ([], {}), False, 'import io\n'), (30, 'tensorflow.squeeze', 'tf.squeeze', (['fake_image'], {}), True, 'import tensorflow as tf\n')] |
ai-nikolai/Retrograph-1 | 54bd534d47218ca437c422a1abe5b1e995f55d71 | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | [
"tensorflow.contrib.cluster_resolver.TPUClusterResolver",
"tensorflow.metrics.accuracy",
"tensorflow.nn.log_softmax",
"tensorflow.FixedLenFeature",
"tensorflow.reduce_sum",
"tensorflow.gfile.GFile",
"tensorflow.train.init_from_checkpoint",
"tensorflow.contrib.data.parallel_interleave",
"tensorflow.g... | training_utility/run_pretraining_adapter.py | [(84, 'tensorflow.flags.DEFINE_string', 'tf.flags.DEFINE_string', (['"""tpu_name"""', 'None', '"""The Cloud TPU to use for training. This should be either the name used when creating the Cloud TPU, or a grpc://ip.address.of.tpu:8470 url."""'], {}), True, 'import tensorflow as tf\n'), (90, 'tensorflow.flags.DEFINE_strin... |
pizzahan/lingvo | 9b85b7ba5d037701302efa807841c05223bc7d1d | # -*- coding: utf-8 -*-
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Un... | [
"tensorflow.strings.regex_replace",
"tensorflow.not_equal",
"tensorflow.strings.unicode_split",
"tensorflow.concat",
"tensorflow.while_loop",
"tensorflow.gfile.Open",
"tensorflow.TensorArray",
"tensorflow.zeros",
"tensorflow.shape",
"tensorflow.equal",
"tensorflow.strings.split",
"tensorflow.r... | lingvo/core/wpm_encoder.py | [(67, 'lingvo.core.ops.py_x_ops.vocab_id_to_token', 'py_x_ops.vocab_id_to_token', (['token'], {'vocab': 'self._pieces'}), False, 'from lingvo.core.ops import py_x_ops\n'), (87, 'tensorflow.strings.unicode_split', 'tf.strings.unicode_split', (['word', '"""UTF-8"""'], {}), True, 'import tensorflow as tf\n'), (95, 'tensor... |
pizzahan/lingvo | 9b85b7ba5d037701302efa807841c05223bc7d1d | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.variable_scope",
"tensorflow.stack",
"tensorflow.name_scope"
] | lingvo/tasks/mt/layers.py | [(45, 'lingvo.core.layers_with_attention.TransformerLayer.Params', 'layers_with_attention.TransformerLayer.Params', ([], {}), False, 'from lingvo.core import layers_with_attention\n'), (48, 'lingvo.core.layers.LayerNorm.Params', 'layers.LayerNorm.Params', ([], {}), False, 'from lingvo.core import layers\n'), (73, 'tens... |
MuAuan/cheating_DL | e8c543d83c304ca072b479cf34fe0a07b58ec6e3 | #grad_cam
#[keras-grad-cam/grad-cam.py](https://github.com/jacobgil/keras-grad-cam/blob/master/grad-cam.py)
from keras.applications.vgg16 import (VGG16, preprocess_input, decode_predictions)
from keras.models import Model
from keras.preprocessing import image
from keras.layers.core import Lambda
from keras.models impo... | [
"numpy.expand_dims",
"numpy.maximum",
"numpy.minimum",
"tensorflow.python.framework.ops.RegisterGradient",
"numpy.clip",
"numpy.min",
"numpy.uint8",
"numpy.squeeze",
"tensorflow.cast",
"tensorflow.gradients",
"numpy.ones",
"numpy.ndim",
"numpy.max",
"tensorflow.zeros_like",
"numpy.mean",... | grad-cam_5category.py | [(136, 'keras.applications.vgg16.VGG16', 'VGG16', ([], {'weights': '"""imagenet"""'}), False, 'from keras.applications.vgg16 import VGG16, preprocess_input, decode_predictions\n'), (34, 'numpy.expand_dims', 'np.expand_dims', (['x'], {'axis': '(0)'}), True, 'import numpy as np\n'), (35, 'keras.applications.vgg16.preproc... |
xuyuandong/sequence_behavior_ctr_model | e1bb71b4579456b1c6fbf3b432a84a3cb52611b7 | import tensorflow as tf
#from tensorflow.python.ops.rnn_cell import *
#from tensorflow.python.ops.rnn_cell_impl import _Linear
from tensorflow.contrib.rnn.python.ops.core_rnn_cell import *
#from tensorflow import keras
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import init_ops
from tensorflo... | [
"tensorflow.concat",
"tensorflow.python.ops.array_ops.split",
"tensorflow.reduce_sum",
"tensorflow.minimum",
"tensorflow.tanh",
"tensorflow.where",
"tensorflow.python.ops.init_ops.constant_initializer",
"tensorflow.while_loop",
"tensorflow.layers.dense",
"tensorflow.name_scope",
"tensorflow.pyth... | script/utils.py | [(29, 'tensorflow.concat', 'tf.concat', (['[queries, facts, queries - facts, queries * facts]'], {'axis': '(-1)'}), True, 'import tensorflow as tf\n'), (30, 'tensorflow.layers.dense', 'tf.layers.dense', (['din_all', '(80)'], {'activation': 'tf.nn.sigmoid', 'name': "('f1_att' + stag)"}), True, 'import tensorflow as tf\n... |
omshinde/dfc2019 | 2e48cc8442c2c33aef7e1a0de27041709ef160e8 | from toposort import toposort
import contextlib
import numpy as np
import tensorflow as tf
import tensorflow.contrib.graph_editor as ge
import time
import sys
sys.setrecursionlimit(10000)
# refers back to current module if we decide to split helpers out
util = sys.modules[__name__]
# getting rid of "WARNING:tensorflow... | [
"tensorflow.get_default_graph",
"tensorflow.contrib.graph_editor.filter_ts",
"numpy.sqrt",
"tensorflow.get_collection",
"tensorflow.contrib.graph_editor.get_backward_walk_ops",
"tensorflow.contrib.graph_editor.get_forward_walk_ops",
"tensorflow.contrib.graph_editor.reroute_ts",
"tensorflow.scatter_nd"... | track2/icnet/memory_saving_gradients.py | [(8, 'sys.setrecursionlimit', 'sys.setrecursionlimit', (['(10000)'], {}), False, 'import sys\n'), (61, 'tensorflow.contrib.graph_editor.get_backward_walk_ops', 'ge.get_backward_walk_ops', (['[y.op for y in ys]'], {'inclusive': '(True)'}), True, 'import tensorflow.contrib.graph_editor as ge\n'), (67, 'tensorflow.contrib... |
changwoolee/gradient-rescaling-attention-model | 2f1d819e8cee03a9d06312e700a5c474bed48c70 | import tensorflow as tf
from contextlib import contextmanager
from PIL import Image
from keras import backend as K
from keras.utils.data_utils import OrderedEnqueuer
def heteroscedastic_loss(attention=False,
block_attention_gradient=False,
mode='l2'):
''' Heteroscedastic loss.'''
def h... | [
"tensorflow.ConfigProto",
"tensorflow.exp",
"tensorflow.Session"
] | util.py | [(49, 'keras.utils.data_utils.OrderedEnqueuer', 'OrderedEnqueuer', (['sequence'], {'use_multiprocessing': 'use_multiprocessing'}), False, 'from keras.utils.data_utils import OrderedEnqueuer\n'), (62, 'keras.backend.clear_session', 'K.clear_session', ([], {}), True, 'from keras import backend as K\n'), (67, 'tensorflow.... |
GingerBear/texar | 46e006f9349893a3015cd937bee9914c516e26af | # Copyright 2018 The Texar Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | [
"tensorflow.variable_scope",
"tensorflow.argmax",
"tensorflow.reshape",
"tensorflow.greater"
] | texar/tf/modules/classifiers/conv_classifiers.py | [(63, 'texar.tf.modules.classifiers.classifier_base.ClassifierBase.__init__', 'ClassifierBase.__init__', (['self', 'hparams'], {}), False, 'from texar.tf.modules.classifiers.classifier_base import ClassifierBase\n'), (135, 'texar.tf.modules.encoders.conv_encoders.Conv1DEncoder.default_hparams', 'Conv1DEncoder.default_h... |
GingerBear/texar | 46e006f9349893a3015cd937bee9914c516e26af | #
"""
Unit tests for XLNet regressor.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
import tensorflow as tf
from texar.tf.modules.regressors.xlnet_regressor import XLNetRegressor
from texar.t... | [
"tensorflow.placeholder",
"tensorflow.test.main",
"tensorflow.global_variables_initializer",
"tensorflow.random_uniform",
"numpy.random.randint"
] | texar/tf/modules/regressors/xlnet_regressor_test.py | [(160, 'tensorflow.test.main', 'tf.test.main', ([], {}), True, 'import tensorflow as tf\n'), (28, 'tensorflow.placeholder', 'tf.placeholder', ([], {'dtype': 'tf.int32', 'shape': '[None, None]'}), True, 'import tensorflow as tf\n'), (30, 'texar.tf.modules.regressors.xlnet_regressor.XLNetRegressor.available_checkpoints',... |
myelintek/results | 11c38436a158c453e3011f8684570f7a55c03330 | # 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... | [
"numpy.all",
"tensorflow.contrib.eager.run_test_in_graph_and_eager_modes",
"tensorflow.test.main",
"tensorflow.Session"
] | v0.5.0/google/research_v3.32/gnmt-tpuv3-32/code/gnmt/model/t2t/tensor2tensor/data_generators/problem_test.py | [(83, 'tensorflow.contrib.eager.run_test_in_graph_and_eager_modes', 'tf.contrib.eager.run_test_in_graph_and_eager_modes', ([], {}), True, 'import tensorflow as tf\n'), (93, 'tensorflow.contrib.eager.run_test_in_graph_and_eager_modes', 'tf.contrib.eager.run_test_in_graph_and_eager_modes', ([], {}), True, 'import tensorf... |
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, ... | [
"tensorflow.reset_default_graph",
"tensorflow.Session"
] | lottery_ticket/mnist_fc/big_two_layer_exp.py | [(103, 'fire.Fire', 'fire.Fire', (['main'], {}), False, 'import fire\n'), (65, 'tensorflow.reset_default_graph', 'tf.reset_default_graph', ([], {}), True, 'import tensorflow as tf\n'), (66, 'tensorflow.Session', 'tf.Session', ([], {}), True, 'import tensorflow as tf\n'), (67, 'lottery_ticket.datasets.dataset_mnist.Data... |
RandolphVI/Question-Difficulty-Prediction | 77b4b83b5bc747c5074926d7a37545a5d46ed343 | # -*- coding:utf-8 -*-
__author__ = 'Randolph'
import os
import sys
import time
import logging
sys.path.append('../')
logging.getLogger('tensorflow').disabled = True
import tensorflow as tf
from utils import checkmate as cm
from utils import data_helpers as dh
from utils import param_parser as parser
from sklearn.me... | [
"tensorflow.Graph",
"tensorflow.train.latest_checkpoint",
"sklearn.metrics.r2_score",
"sklearn.metrics.mean_squared_error",
"tensorflow.ConfigProto",
"tensorflow.Session"
] | TF/TARNN/test_tarnn.py | [(9, 'sys.path.append', 'sys.path.append', (['"""../"""'], {}), False, 'import sys\n'), (18, 'utils.param_parser.parameter_parser', 'parser.parameter_parser', ([], {}), True, 'from utils import param_parser as parser\n'), (19, 'utils.data_helpers.get_model_name', 'dh.get_model_name', ([], {}), True, 'from utils import ... |
alishameli/CS231n-Sample-Code-1 | e47e593026c80530f7c387c4feca24f88c1618a2 | import argparse
import os
import numpy as np
import tensorflow as tf
from matplotlib import pyplot as plt
from PIL import Image
import models
def predict(model_data_path, image_path):
# Default input size
height = 228
width = 304
channels = 3
batch_size = 1
# Read image
img = Image.o... | [
"matplotlib.pyplot.imshow",
"numpy.asarray",
"tensorflow.global_variables",
"tensorflow.variables_initializer",
"tensorflow.placeholder",
"tensorflow.Session",
"numpy.array",
"matplotlib.pyplot.show",
"matplotlib.pyplot.figure"
] | tensorflow/predict.py | [(19, 'PIL.Image.open', 'Image.open', (['image_path'], {}), False, 'from PIL import Image\n'), (25, 'tensorflow.placeholder', 'tf.placeholder', (['tf.float32'], {'shape': '(None, height, width, channels)'}), True, 'import tensorflow as tf\n'), (28, 'models.ResNet50UpProj', 'models.ResNet50UpProj', (["{'data': input_nod... |
My-Technical-Architect/tensorflow | 35cf4653e6fe15953e2e565afc5a0fd2ab4d5290 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.TensorShape",
"tensorflow.shape",
"tensorflow.placeholder",
"tensorflow.test.main",
"tensorflow.python.framework.tensor_util.constant_value",
"tensorflow.random_normal"
] | tensorflow/contrib/distributions/python/kernel_tests/distribution_test.py | [(123, 'tensorflow.test.main', 'tf.test.main', ([], {}), True, 'import tensorflow as tf\n'), (103, 'tensorflow.placeholder', 'tf.placeholder', ([], {'dtype': 'tf.int32', 'shape': '[]'}), True, 'import tensorflow as tf\n'), (109, 'tensorflow.placeholder', 'tf.placeholder', ([], {'dtype': 'tf.int32', 'shape': '[1]'}), Tr... |
gujralsanyam22/models | 11ea5237818e791a5717716d5413977f4c4db1e3 | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.sparse.to_dense",
"tensorflow.zeros",
"tensorflow.io.decode_png",
"tensorflow.stack",
"tensorflow.shape",
"tensorflow.io.parse_single_example",
"tensorflow.cast",
"tensorflow.io.decode_image",
"tensorflow.io.VarLenFeature",
"tensorflow.io.FixedLenFeature",
"tensorflow.zeros_like",
... | official/vision/detection/dataloader/tf_example_decoder.py | [(61, 'tensorflow.io.decode_image', 'tf.io.decode_image', (["parsed_tensors['image/encoded']"], {'channels': '(3)'}), True, 'import tensorflow as tf\n'), (71, 'tensorflow.stack', 'tf.stack', (['[ymin, xmin, ymax, xmax]'], {'axis': '(-1)'}), True, 'import tensorflow as tf\n'), (120, 'tensorflow.io.parse_single_example',... |
gujralsanyam22/models | d96f8f043dbe2b5ca8ea1785f57df8faf68d8875 | # Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.less",
"tensorflow.logical_or",
"tensorflow.greater",
"tensorflow.ones_like",
"tensorflow.keras.utils.register_keras_serializable",
"tensorflow.expand_dims",
"tensorflow.zeros_like",
"tensorflow.greater_equal"
] | official/vision/beta/modeling/layers/box_matcher.py | [(23, 'tensorflow.keras.utils.register_keras_serializable', 'tf.keras.utils.register_keras_serializable', ([], {'package': '"""Vision"""'}), True, 'import tensorflow as tf\n'), (99, 'official.vision.beta.ops.box_ops.box_matching', 'box_ops.box_matching', (['boxes', 'gt_boxes', 'gt_classes'], {}), False, 'from official.... |
gujralsanyam22/models | 11ea5237818e791a5717716d5413977f4c4db1e3 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.name_scope",
"tensorflow.unstack"
] | official/vision/detection/utils/object_detection/box_coder.py | [(69, 'tensorflow.name_scope', 'tf.name_scope', (['"""Encode"""'], {}), True, 'import tensorflow as tf\n'), (83, 'tensorflow.name_scope', 'tf.name_scope', (['"""Decode"""'], {}), True, 'import tensorflow as tf\n'), (147, 'tensorflow.unstack', 'tf.unstack', (['encoded_boxes'], {}), True, 'import tensorflow as tf\n')] |
jingshuw/sctransfer | 380c3f26934c26cd177e63aacf4f3bdcf9a29c47 | from keras.engine.topology import Layer
from keras.layers import Lambda, Dense
from keras.engine.base_layer import InputSpec
from keras import backend as K
import tensorflow as tf
class ConstantDispersionLayer(Layer):
'''
An identity layer which allows us to inject extra parameters
such as dispers... | [
"tensorflow.is_nan",
"tensorflow.zeros_like",
"tensorflow.reshape",
"tensorflow.identity"
] | build/lib/sctransfer/layers.py | [(25, 'tensorflow.identity', 'tf.identity', (['x'], {}), True, 'import tensorflow as tf\n'), (72, 'keras.engine.base_layer.InputSpec', 'InputSpec', ([], {'min_ndim': '(2)', 'axes': '{(-1): input_dim}'}), False, 'from keras.engine.base_layer import InputSpec\n'), (21, 'keras.backend.exp', 'K.exp', (['self.theta'], {}), ... |
kpe/tensor2tensor | 453c473030c354a3d9a4c27b12bcec8942334bf4 | # coding=utf-8
# Copyright 2019 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... | [
"numpy.all",
"tensorflow.compat.v1.enable_eager_execution",
"tensorflow.test.main",
"tensorflow.Session"
] | tensor2tensor/data_generators/problem_test.py | [(32, 'tensorflow.compat.v1.enable_eager_execution', 'tf.compat.v1.enable_eager_execution', ([], {}), True, 'import tensorflow as tf\n'), (57, 'tensor2tensor.utils.test_utils.run_in_graph_mode_only', 'test_utils.run_in_graph_mode_only', ([], {}), False, 'from tensor2tensor.utils import test_utils\n'), (70, 'tensor2tens... |
deepneuralmachine/google-research | d2ce2cf0f5c004f8d78bfeddf6e88e88f4840231 | # coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | [
"tensorflow.boolean_mask",
"tensorflow.nn.relu",
"tensorflow.math.reduce_min",
"tensorflow.constant",
"tensorflow.math.count_nonzero",
"tensorflow.shape",
"tensorflow.cast",
"tensorflow.expand_dims",
"tensorflow.math.reduce_mean",
"tensorflow.stop_gradient",
"tensorflow.eye",
"tensorflow.zeros... | poem/core/loss_utils.py | [(185, 'poem.core.distance_utils.compute_distance_matrix', 'distance_utils.compute_distance_matrix', (['anchor_points', 'match_points'], {'distance_fn': 'distance_fn', 'start_point_masks': 'anchor_point_masks', 'end_point_masks': 'match_point_masks'}), False, 'from poem.core import distance_utils\n'), (446, 'poem.core.... |
TangZhenchaoTZC/Keras-mask-detection | 325679d06a12a90b2552ed7d447298a23e3b9d57 | """fasterRCNN训练的损失函数与数据生成器"""
from keras.applications.imagenet_utils import preprocess_input
from keras import backend as K
import keras
import tensorflow as tf
import numpy as np
from random import shuffle
import random
from PIL import Image
from keras.objectives import categorical_crossentropy
from matplotlib.colors ... | [
"numpy.expand_dims",
"tensorflow.gather_nd",
"numpy.logical_and",
"matplotlib.colors.hsv_to_rgb",
"numpy.reshape",
"numpy.random.shuffle",
"numpy.shape",
"numpy.random.rand",
"numpy.array"
] | fasterRCNNtrain/loss_and_gen.py | [(14, 'sys.path.append', 'sys.path.append', (['""".."""'], {}), False, 'import sys\n'), (32, 'tensorflow.gather_nd', 'tf.gather_nd', (['labels', 'indices_for_object'], {}), True, 'import tensorflow as tf\n'), (33, 'tensorflow.gather_nd', 'tf.gather_nd', (['classification', 'indices_for_object'], {}), True, 'import tens... |
sorhus/tensorflow | acb1ef68f5aea3b6f7f1e14db588b74134719b5e | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.device",
"tensorflow.constant",
"tensorflow.python.eager.test.main",
"tensorflow.contrib.summary.summary_test_util.events_from_file",
"tensorflow.contrib.eager.python.examples.spinn.data.load_vocabulary",
"tensorflow.contrib.eager.python.examples.spinn.data.SnliData",
"tensorflow.python.trai... | tensorflow/contrib/eager/python/examples/spinn/spinn_test.py | [(61, 'tensorflow.contrib.eager.num_gpus', 'tfe.num_gpus', ([], {}), True, 'import tensorflow.contrib.eager as tfe\n'), (84, 'collections.namedtuple', 'collections.namedtuple', (['"""Config"""', "['d_hidden', 'd_proj', 'd_tracker', 'predict', 'embed_dropout',\n 'mlp_dropout', 'n_mlp_layers', 'd_mlp', 'd_out', 'proje... |
linus87/drl_shape_optimization | 39e6b66bd5b70dfce07e145aafe815071bc1b6fe | # Copyright 2018 Tensorforce Team. 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 la... | [
"tensorflow.assign_add",
"tensorflow.control_dependencies"
] | src/tensorforce/tensorforce/core/optimizers/optimizer.py | [(59, 'tensorforce.TensorforceError', 'TensorforceError', (['"""Invalid variables and deltas lists."""'], {}), False, 'from tensorforce import TensorforceError, util\n'), (65, 'tensorflow.control_dependencies', 'tf.control_dependencies', ([], {'control_inputs': 'assignments'}), True, 'import tensorflow as tf\n'), (66, ... |
linus87/drl_shape_optimization | 39e6b66bd5b70dfce07e145aafe815071bc1b6fe | # Copyright 2018 Tensorforce Team. 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 la... | [
"tensorflow.zeros_like",
"tensorflow.sign",
"tensorflow.control_dependencies"
] | src/tensorforce/tensorforce/core/optimizers/evolutionary.py | [(69, 'tensorflow.zeros_like', 'tf.zeros_like', ([], {'tensor': 'variable'}), True, 'import tensorflow as tf\n'), (70, 'tensorflow.zeros_like', 'tf.zeros_like', ([], {'tensor': 'variable'}), True, 'import tensorflow as tf\n'), (125, 'tensorflow.control_dependencies', 'tf.control_dependencies', ([], {'control_inputs': '... |
abhaikollara/tensorflow | 4f96df3659696990cb34d0ad07dc67843c4225a9 | # Lint as: python2, python3
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
... | [
"tensorflow.lite.experimental.nn.TFLiteLSTMCell",
"tensorflow.nn.softmax_cross_entropy_with_logits",
"tensorflow.nn.static_rnn",
"tensorflow.lite.TFLiteConverter.from_session",
"tensorflow.lite.experimental.nn.dynamic_rnn",
"tensorflow.train.AdamOptimizer",
"numpy.allclose",
"numpy.reshape",
"tensor... | tensorflow/lite/experimental/examples/lstm/unidirectional_sequence_lstm_test.py | [(32, 'tensorflow.ConfigProto', 'tf.ConfigProto', ([], {'device_count': "{'GPU': 0}"}), True, 'import tensorflow as tf\n'), (276, 'tensorflow.python.platform.test.main', 'test.main', ([], {}), False, 'from tensorflow.python.platform import test\n'), (38, 'tensorflow.reset_default_graph', 'tf.reset_default_graph', ([], ... |
oahziur/probability | 8edc2892658b5fac7f2e162e1abdc37d1f9858da | # Copyright 2018 The TensorFlow 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 o... | [
"tensorflow.convert_to_tensor",
"tensorflow.TensorShape",
"tensorflow.executing_eagerly",
"tensorflow.constant",
"tensorflow.shape",
"tensorflow.placeholder_with_default",
"tensorflow.test.main",
"numpy.ones",
"tensorflow.name_scope",
"numpy.float32",
"numpy.zeros",
"tensorflow.random_normal"
... | tensorflow_probability/python/distributions/distribution_test.py | [(378, 'tensorflow.test.main', 'tf.test.main', ([], {}), True, 'import tensorflow as tf\n'), (100, 'tensorflow.placeholder_with_default', 'tf.placeholder_with_default', ([], {'input': '(1)', 'shape': '[]'}), True, 'import tensorflow as tf\n'), (106, 'tensorflow.placeholder_with_default', 'tf.placeholder_with_default', ... |
oahziur/probability | ca14fa8924749593fd21e2b6389551f964527eec | # Copyright 2018 The TensorFlow 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 o... | [
"tensorflow.TensorShape",
"numpy.log",
"tensorflow.constant",
"numpy.arange",
"tensorflow.placeholder_with_default",
"tensorflow.test.main",
"tensorflow.zeros_like",
"numpy.array",
"scipy.stats.pareto"
] | tensorflow_probability/python/distributions/pareto_test.py | [(349, 'tensorflow.test.main', 'tf.test.main', ([], {}), True, 'import tensorflow as tf\n'), (37, 'scipy.stats.pareto', 'stats.pareto', (['concentration'], {'scale': 'scale'}), False, 'from scipy import stats\n'), (40, 'tensorflow.constant', 'tf.constant', (['([2.0] * 5)'], {}), True, 'import tensorflow as tf\n'), (41,... |
connectthefuture/tensorflow | 93812423fcd5878aa2c1d0b68dc0496980c8519d | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.convert_to_tensor",
"tensorflow.device",
"numpy.asarray",
"tensorflow.stack",
"tensorflow.SparseTensorValue",
"numpy.random.randint",
"numpy.testing.assert_equal",
"tensorflow.Graph",
"tensorflow.Variable",
"numpy.arange",
"tensorflow.test.main",
"tensorflow.deserialize_many_sparse... | tensorflow/python/kernel_tests/sparse_tensors_map_ops_test.py | [(234, 'tensorflow.test.main', 'tf.test.main', ([], {}), True, 'import tensorflow as tf\n'), (55, 'tensorflow.SparseTensorValue', 'tf.SparseTensorValue', (['ind', 'val', 'shape'], {}), True, 'import tensorflow as tf\n'), (68, 'tensorflow.SparseTensorValue', 'tf.SparseTensorValue', (['ind', 'val', 'shape'], {}), True, '... |
connectthefuture/tensorflow | 93812423fcd5878aa2c1d0b68dc0496980c8519d | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.device",
"tensorflow.python.ops.random_ops.truncated_normal",
"numpy.random.seed",
"numpy.power",
"numpy.isnan",
"tensorflow.OptimizerOptions",
"tensorflow.test.main",
"tensorflow.python.ops.random_ops.parameterized_truncated_normal",
"tensorflow.GraphOptions",
"tensorflow.Session",
... | tensorflow/python/kernel_tests/parameterized_truncated_normal_op_test.py | [(186, 'numpy.random.seed', 'np.random.seed', (['(1618)'], {}), True, 'import numpy as np\n'), (189, 'tensorflow.OptimizerOptions', 'tf.OptimizerOptions', ([], {'opt_level': 'tf.OptimizerOptions.L0'}), True, 'import tensorflow as tf\n'), (237, 'tensorflow.test.main', 'tf.test.main', ([], {}), True, 'import tensorflow a... |
Pandinosaurus/model-optimization | 12dc84dd34ee3c6eb08b381c0abcd65b31a42366 | # Copyright 2021 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.multiply",
"tensorflow.unique",
"tensorflow.shape",
"tensorflow.reduce_any",
"tensorflow.reshape",
"tensorflow.one_hot",
"tensorflow.math.divide_no_nan",
"tensorflow.size",
"tensorflow.abs"
] | tensorflow_model_optimization/python/core/quantization/keras/collaborative_optimizations/cluster_preserve/cluster_preserve_quantize_registry.py | [(61, 'tensorflow.reshape', 'tf.reshape', (['t'], {'shape': '(-1,)'}), True, 'import tensorflow as tf\n'), (62, 'tensorflow.unique', 'tf.unique', (['t_flatten'], {}), True, 'import tensorflow as tf\n'), (296, 'tensorflow.size', 'tf.size', (['centroids'], {}), True, 'import tensorflow as tf\n'), (422, 'tensorflow_model_... |
jdehotin/TensorFlow | a6c5f8e4e013e54fed8dfcf49fb6de365f018022 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"numpy.sqrt",
"tensorflow.Variable",
"numpy.isfinite",
"tensorflow.zeros",
"numpy.arange",
"tensorflow.gradients",
"tensorflow.test.main",
"tensorflow.ones",
"numpy.ones",
"scipy.stats.norm",
"tensorflow.initialize_all_variables",
"numpy.random.RandomState"
] | tensorflow/contrib/distributions/python/kernel_tests/quantized_distribution_test.py | [(459, 'tensorflow.test.main', 'tf.test.main', ([], {}), True, 'import tensorflow as tf\n'), (30, 'numpy.random.RandomState', 'np.random.RandomState', (['(0)'], {}), True, 'import numpy as np\n'), (250, 'scipy.stats.norm', 'stats.norm', (['mu', 'sigma'], {}), False, 'from scipy import stats\n'), (272, 'scipy.stats.norm... |
slomrafgrav/models | e498d28503fd4a12d1fa9ade41891f2f9601c674 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.variable_scope"
] | research/object_detection/models/ssd_inception_v2_feature_extractor.py | [(107, 'object_detection.utils.shape_utils.check_min_image_dim', 'shape_utils.check_min_image_dim', (['(33)', 'preprocessed_inputs'], {}), False, 'from object_detection.utils import shape_utils\n'), (118, 'tensorflow.variable_scope', 'tf.variable_scope', (['"""InceptionV2"""'], {'reuse': 'self._reuse_weights'}), True, ... |
alixhami/training-data-analyst | 3eb60cb6c8b55fd7f38414c1082da36b8e62558e | #!/usr/bin/env python3
# Copyright 2017 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 requir... | [
"tensorflow.stack",
"tensorflow.data.TextLineDataset",
"tensorflow.keras.estimator.model_to_estimator",
"tensorflow.estimator.train_and_evaluate",
"tensorflow.decode_csv",
"tensorflow.estimator.export.PredictOutput",
"tensorflow.squeeze",
"tensorflow.train.get_global_step",
"tensorflow.logging.set_v... | courses/machine_learning/deepdive/05_artandscience/simplernn/trainer/model.py | [(21, 'tensorflow.logging.set_verbosity', 'tf.logging.set_verbosity', (['tf.logging.INFO'], {}), True, 'import tensorflow as tf\n'), (75, 'tensorflow.keras.models.Sequential', 'keras.models.Sequential', ([], {}), False, 'from tensorflow import keras\n'), (82, 'tensorflow.keras.estimator.model_to_estimator', 'keras.esti... |
hartmanwilliam/federated | ecf51cdf8b86cbd000f6edc5715dc904bce07540 | # Lint as: python3
# Copyright 2019, The TensorFlow Federated 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 ... | [
"tensorflow.concat",
"tensorflow.reshape",
"tensorflow.strings.split",
"tensorflow.map_fn",
"tensorflow.lookup.KeyValueTensorInitializer",
"tensorflow.size"
] | tensorflow_federated/python/research/optimization/stackoverflow/dataset.py | [(27, 'tensorflow_federated.simulation.datasets.stackoverflow.load_word_counts', 'tff.simulation.datasets.stackoverflow.load_word_counts', ([], {}), True, 'import tensorflow_federated as tff\n'), (42, 'tensorflow.map_fn', 'tf.map_fn', (['(lambda x: x[:-1])', 'chunk'], {}), True, 'import tensorflow as tf\n'), (43, 'tens... |
middleprince/fashionAi | c512936b4983c2fb093008f06e04753180af0a90 | # Copyright 2018 Changan Wang
# 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, so... | [
"tensorflow.floordiv",
"tensorflow.control_dependencies",
"tensorflow.cast",
"tensorflow.nn.l2_loss",
"tensorflow.gfile.MakeDirs",
"tensorflow.app.flags.DEFINE_string",
"tensorflow.GPUOptions",
"tensorflow.app.flags.DEFINE_boolean",
"tensorflow.estimator.RunConfig",
"tensorflow.summary.scalar",
... | train_senet_cpn_onebyone.py | [(34, 'tensorflow.app.flags.DEFINE_integer', 'tf.app.flags.DEFINE_integer', (['"""num_readers"""', '(16)', '"""The number of parallel readers that read data from the dataset."""'], {}), True, 'import tensorflow as tf\n'), (37, 'tensorflow.app.flags.DEFINE_integer', 'tf.app.flags.DEFINE_integer', (['"""num_preprocessing... |
sankar-mukherjee/DCASE-2018---Task-4- | f8034641efef6e60ea721abc5569d9c1aa8ee56d | # !/usr/bin/env python
# -*- coding: utf-8 -*-
#########################################################################
# This code is an adaptation from Toni Heittola's code [task1 baseline dcase 2018](https://github.com/DCASE-REPO/dcase2018_baseline/tree/master/task1/)
# Copyright Nicolas Turpault, Romain Serizel, H... | [
"numpy.random.seed",
"numpy.arange",
"tensorflow.set_random_seed",
"tensorflow.get_default_graph",
"numpy.array"
] | task4_crnn.py | [(23, 'dcase_util.utils.setup_logging', 'dcase_util.utils.setup_logging', ([], {'logging_file': '"""task4.log"""'}), False, 'import dcase_util\n'), (26, 'random.seed', 'random.seed', (['(10)'], {}), False, 'import random\n'), (27, 'numpy.random.seed', 'numpy.random.seed', (['(42)'], {}), False, 'import numpy\n'), (29, ... |
jdavidagudelo/tensorflow-models | 6f019beec73b01861363bf717706e27f4210b979 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.assert_equal"
] | research/object_detection/core/anchor_generator.py | [(149, 'tensorflow.assert_equal', 'tf.assert_equal', (['expected_num_anchors', 'actual_num_anchors'], {}), True, 'import tensorflow as tf\n')] |
jdavidagudelo/tensorflow-models | 6f019beec73b01861363bf717706e27f4210b979 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | [
"tensorflow.Graph",
"tensorflow.test.main",
"tensorflow.placeholder",
"tensorflow.global_variables_initializer",
"tensorflow.reset_default_graph",
"numpy.random.uniform",
"tensorflow.argmax",
"tensorflow.random_uniform"
] | research/slim/nets/mobilenet_v1_test.py | [(535, 'tensorflow.test.main', 'tf.test.main', ([], {}), True, 'import tensorflow as tf\n'), (36, 'tensorflow.random_uniform', 'tf.random_uniform', (['(batch_size, height, width, 3)'], {}), True, 'import tensorflow as tf\n'), (37, 'research.slim.nets.mobilenet_v1.mobilenet_v1', 'mobilenet_v1.mobilenet_v1', (['inputs', ... |
MohamedAli1995/Cifar-100-Classifier | 924704a81ce13062825a88b90b80e8ac2ba45d63 | import tensorflow as tf
class BaseTrain:
"""Standard base_train-class for easy multiple-inheritance.
It is responsible for defining the functions to be implemented with any child.
Attributes:
sess: Tensorflow session to use.
model: Model to be trained.
data: Data_loader object... | [
"tensorflow.global_variables_initializer",
"tensorflow.local_variables_initializer"
] | src/base/base_train.py | [(23, 'tensorflow.global_variables_initializer', 'tf.global_variables_initializer', ([], {}), True, 'import tensorflow as tf\n'), (23, 'tensorflow.local_variables_initializer', 'tf.local_variables_initializer', ([], {}), True, 'import tensorflow as tf\n')] |
lucgiffon/psm-nets | dec43c26281febf6e5c8b8f42bfb78098ae7101d | '''
Implementation of the paper 'Tensorizing Neural Networks', Alexander Novikov, Dmitry Podoprikhin, Anton Osokin, Dmitry P. Vetrov, NIPS, 2015
to compress a dense layer using Tensor Train factorization.
TTLayer compute y = Wx + b in the compressed form.
'''
from keras import backend as K, activations, initializers
fr... | [
"tensorflow.matmul",
"tensorflow.transpose",
"tensorflow.reshape",
"tensorflow.add",
"numpy.prod",
"numpy.array"
] | code/palmnet/layers/tt_layer_dense.py | [(24, 'keras.activations.get', 'activations.get', (['activation'], {}), False, 'from keras import backend as K, activations, initializers\n'), (26, 'keras.initializers.get', 'initializers.get', (['kernel_initializer'], {}), False, 'from keras import backend as K, activations, initializers\n'), (27, 'keras.initializers.... |
feiwu77777/Face-detection-and-tracking | 1135d2d93d5b667110551dc7e4b985b5861eb380 | # -*- coding: utf-8 -*-
"""
Created on Mon Dec 10 15:49:15 2018
@author: fei.wu
"""
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import tiny_face_model
import util
import cv2
import numpy a... | [
"tensorflow.convert_to_tensor",
"numpy.hstack",
"matplotlib.pyplot.imshow",
"tensorflow.Graph",
"scipy.special.expit",
"numpy.power",
"numpy.vstack",
"tensorflow.placeholder",
"numpy.ceil",
"tensorflow.global_variables_initializer",
"numpy.max",
"tensorflow.Session",
"numpy.exp",
"matplotl... | eval_tiny_one_image.py | [(78, 'tensorflow.placeholder', 'tf.placeholder', (['tf.float32', '[1, None, None, 3]'], {}), True, 'import tensorflow as tf\n'), (81, 'tiny_face_model.Model', 'tiny_face_model.Model', (['weight_file_path'], {}), False, 'import tiny_face_model\n'), (92, 'numpy.where', 'np.where', (['(clusters[:, (4)] == 1)'], {}), True... |
bestetc/batchflow | d2a843640383fbe860654236881483f755227e06 | """ Helpers for training """
from math import pi
import tensorflow as tf
def piecewise_constant(global_step, *args, **kwargs):
""" Constant learning rate decay (uses global_step param instead of x) """
return tf.train.piecewise_constant(global_step, *args, **kwargs)
def cyclic_learning_rate(learning_rate, gl... | [
"tensorflow.sin",
"tensorflow.cast",
"tensorflow.mod",
"tensorflow.train.piecewise_constant",
"tensorflow.name_scope",
"tensorflow.abs"
] | batchflow/models/tf/nn/train.py | [(8, 'tensorflow.train.piecewise_constant', 'tf.train.piecewise_constant', (['global_step', '*args'], {}), True, 'import tensorflow as tf\n'), (76, 'tensorflow.name_scope', 'tf.name_scope', (['name'], {}), True, 'import tensorflow as tf\n'), (77, 'tensorflow.cast', 'tf.cast', (['learning_rate'], {'dtype': 'tf.float32'}... |
ishine/malaya-speech | fd34afc7107af1656dff4b3201fa51dda54fde18 | import tensorflow as tf
from .layer import *
class Discriminator:
def __init__(self, inputs, targets, ndf=64):
n_layers = 3
layers = []
input = tf.concat([inputs, targets], axis=3)
with tf.variable_scope('layer_1'):
convolved = discrim_conv(input, ndf, stride=2)
... | [
"tensorflow.variable_scope",
"tensorflow.sigmoid",
"tensorflow.concat"
] | malaya_speech/train/model/pix2pix/discriminator.py | [(9, 'tensorflow.concat', 'tf.concat', (['[inputs, targets]'], {'axis': '(3)'}), True, 'import tensorflow as tf\n'), (10, 'tensorflow.variable_scope', 'tf.variable_scope', (['"""layer_1"""'], {}), True, 'import tensorflow as tf\n'), (27, 'tensorflow.sigmoid', 'tf.sigmoid', (['convolved'], {}), True, 'import tensorflow ... |
Ascend/modelzoo | f018cfed33dbb1cc2110b9ea2e233333f71cc509 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.concat",
"tensorflow.gfile.DeleteRecursively",
"tensorflow.control_dependencies",
"tensorflow.gfile.Exists",
"tensorflow.gfile.MkDir",
"tensorflow.global_variables",
"tensorflow.cast",
"tensorflow.train.ExponentialMovingAverage",
"tensorflow.app.flags.DEFINE_string",
"tensorflow.train.... | contrib/TensorFlow/Official/cv/east/EAST_ID0238_for_TensorFlow/npu_train.py | [(38, 'tensorflow.app.flags.DEFINE_integer', 'tf.app.flags.DEFINE_integer', (['"""input_size"""', '(512)', '""""""'], {}), True, 'import tensorflow as tf\n'), (39, 'tensorflow.app.flags.DEFINE_integer', 'tf.app.flags.DEFINE_integer', (['"""batch_size_per_gpu"""', '(14)', '""""""'], {}), True, 'import tensorflow as tf\n... |
Ascend/modelzoo | f018cfed33dbb1cc2110b9ea2e233333f71cc509 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | [
"tensorflow.FixedLenFeature",
"tensorflow.zeros"
] | built-in/TensorFlow/Official/cv/image_classification/MobileNetV2_for_TensorFlow/datasets/cifar10.py | [(82, 'os.path.join', 'os.path.join', (['dataset_dir', '(file_pattern % split_name)'], {}), False, 'import os\n'), (104, 'datasets.dataset_utils.has_labels', 'dataset_utils.has_labels', (['dataset_dir'], {}), False, 'from datasets import dataset_utils\n'), (89, 'tensorflow.FixedLenFeature', 'tf.FixedLenFeature', (['()'... |
zysilence/tensorforce | 7539e5dde66f3a93b881006f9b7f38c926ced21b | # 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... | [
"tensorflow.scatter_update",
"tensorflow.boolean_mask",
"tensorflow.assign_add",
"tensorflow.control_dependencies",
"tensorflow.shape",
"tensorflow.range",
"tensorflow.minimum",
"tensorflow.assign",
"tensorflow.assert_less_equal",
"tensorflow.gather",
"tensorflow.no_op",
"tensorflow.make_templ... | tensorforce/core/memories/queue.py | [(65, 'tensorflow.make_template', 'tf.make_template', ([], {'name_': "(self.scope + '/retrieve_indices')", 'func_': 'self.tf_retrieve_indices', 'custom_getter_': 'custom_getter'}), True, 'import tensorflow as tf\n'), (159, 'tensorflow.minimum', 'tf.minimum', ([], {'x': 'num_episodes', 'y': 'self.episode_count'}), True,... |
samgregoost/self_supervised_large | 9c0c33cf374a1d5112519939012a64bca98c5f8d | from __future__ import print_function
import tensorflow as tf
import numpy as np
import random
import TensorflowUtils as utils
import read_MITSceneParsingDataParis as scene_parsing
import datetime
import BatchDatsetReader as dataset
from six.moves import xrange
FLAGS = tf.flags.FLAGS
tf.flags.DEFINE_integer("batch_siz... | [
"tensorflow.concat",
"tensorflow.stack",
"numpy.squeeze",
"tensorflow.cast",
"numpy.mean",
"tensorflow.train.AdamOptimizer",
"tensorflow.flags.DEFINE_float",
"tensorflow.pad",
"tensorflow.summary.scalar",
"tensorflow.summary.image",
"tensorflow.gradients",
"tensorflow.layers.dense",
"numpy.c... | mnist128.py | [(12, 'tensorflow.flags.DEFINE_integer', 'tf.flags.DEFINE_integer', (['"""batch_size"""', '"""50"""', '"""batch size for training"""'], {}), True, 'import tensorflow as tf\n'), (13, 'tensorflow.flags.DEFINE_string', 'tf.flags.DEFINE_string', (['"""logs_dir"""', '"""/scratch1/ram095/nips20/logs_mnist128/"""', '"""path t... |
uve/tensorflow | e08079463bf43e5963acc41da1f57e95603f8080 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | [
"tensorflow.contrib.eager.python.examples.linear_regression.linear_regression.fit",
"tensorflow.enable_eager_execution",
"tensorflow.contrib.eager.Iterator",
"tensorflow.test.main",
"tensorflow.contrib.eager.python.examples.linear_regression.linear_regression.synthetic_dataset",
"tensorflow.contrib.eager.... | tensorflow/contrib/eager/python/examples/linear_regression/linear_regression_test.py | [(120, 'tensorflow.enable_eager_execution', 'tf.enable_eager_execution', ([], {}), True, 'import tensorflow as tf\n'), (121, 'tensorflow.test.main', 'tf.test.main', ([], {}), True, 'import tensorflow as tf\n'), (41, 'tempfile.mkdtemp', 'tempfile.mkdtemp', ([], {}), False, 'import tempfile\n'), (44, 'shutil.rmtree', 'sh... |
uve/tensorflow | e08079463bf43e5963acc41da1f57e95603f8080 | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | [
"tensorflow.device",
"tensorflow.enable_eager_execution",
"tensorflow.python.client.device_lib.list_local_devices",
"tensorflow.DeviceSpec.from_string",
"tensorflow.train.AdamOptimizer",
"tensorflow.Graph",
"tensorflow.Variable",
"tensorflow.test.main",
"tensorflow.Session",
"tensorflow.contrib.ea... | tensorflow/contrib/eager/python/examples/revnet/revnet_test.py | [(180, 'tensorflow.random_uniform', 'tf.random_uniform', (['shape'], {}), True, 'import tensorflow as tf\n'), (181, 'tensorflow.random_uniform', 'tf.random_uniform', (['[batch_size]'], {'minval': '(0)', 'maxval': 'config.n_classes', 'dtype': 'tf.int32'}), True, 'import tensorflow as tf\n'), (342, 'tensorflow.enable_eag... |
T3p/baselines | 5623c9160d1e86ebca3e673f142fe6b14a1db06c | #!/usr/bin/env python3
'''
This script runs rllab or gym environments. To run RLLAB, use the format
rllab.<env_name> as env name, otherwise gym will be used.
'''
# Common imports
import sys, re, os, time, logging
from collections import defaultdict
# Framework imports
import gym
import tensorflow as tf
# Self... | [
"tensorflow.contrib.layers.xavier_initializer"
] | baselines/pois2/run.py | [(108, 'baselines.common.tf_util.make_session', 'U.make_session', (['affinity'], {}), True, 'import baselines.common.tf_util as U\n'), (111, 'baselines.common.set_global_seeds', 'set_global_seeds', (['seed'], {}), False, 'from baselines.common import set_global_seeds\n'), (113, 'gym.logger.setLevel', 'gym.logger.setLev... |
gitter-badger/mlmodels | f70f1da7434e8855eed50adc67b49cc169f2ea24 | # coding: utf-8
# In[1]:
import os
import numpy as np
import tensorflow as tf
from tqdm import tqdm
from model import Model
from setting import batch_size, get_cached, idx2char, n_mels, reduction_factor, text2idx
# In[2]:
paths, lengths, texts = [], [], []
text_files = [f for f in os.listdir("spectrogram") if f... | [
"numpy.pad",
"tensorflow.InteractiveSession",
"tensorflow.global_variables_initializer",
"tensorflow.reset_default_graph",
"numpy.load"
] | mlmodels/model_tf/misc/tf_nlp/speech-to-text/1.tacotron/train.py | [(43, 'tensorflow.reset_default_graph', 'tf.reset_default_graph', ([], {}), True, 'import tensorflow as tf\n'), (44, 'tensorflow.InteractiveSession', 'tf.InteractiveSession', ([], {}), True, 'import tensorflow as tf\n'), (45, 'model.Model', 'Model', ([], {}), False, 'from model import Model\n'), (46, 'tensorflow.global... |
gitter-badger/mlmodels | f70f1da7434e8855eed50adc67b49cc169f2ea24 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import os
import tensorflow as tf
from scipy.io.wavfile import write
from tqdm import tqdm
from utils import *
# In[2]:
def prenet(inputs, num_units=None, is_training=True, scope="prenet"):
if num_units is None:
num_units = [embed_size, embed_size // 2]... | [
"tensorflow.layers.conv1d",
"tensorflow.nn.dynamic_rnn",
"tensorflow.concat",
"tensorflow.contrib.rnn.GRUCell",
"tensorflow.zeros",
"tensorflow.layers.dropout",
"tensorflow.reduce_sum",
"tensorflow.nn.bidirectional_dynamic_rnn",
"tensorflow.orthogonal_initializer",
"tensorflow.train.AdamOptimizer"... | mlmodels/model_tf/misc/tf_nlp/text-to-speech/3.seq2seq-luong.py | [(154, 'tensorflow.reset_default_graph', 'tf.reset_default_graph', ([], {}), True, 'import tensorflow as tf\n'), (155, 'tensorflow.InteractiveSession', 'tf.InteractiveSession', ([], {}), True, 'import tensorflow as tf\n'), (162, 'tensorflow.global_variables_initializer', 'tf.global_variables_initializer', ([], {}), Tru... |
andresmasegosa/PRML-CoreSets | fb768debb15e3ff6f5b65b7224915a41c1493f3d | import matplotlib.animation as animation
import matplotlib.pyplot as plt
import numpy as np
from sklearn.cluster import KMeans
import inferpy as inf
from datareduction.bayesian_pca_DR import BayesianPCA_DR
from datareduction.variational_gaussian_mixture_DR import VariationalGaussianMixture_DR
from prml.feature_extract... | [
"matplotlib.pyplot.legend",
"numpy.random.seed",
"matplotlib.pyplot.ylim",
"matplotlib.pyplot.show",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.plot",
"tensorflow.examples.tutorials.mnist.input_data.read_data_sets",
"numpy.random.normal",
"numpy.random.permutation",
"numpy.savetxt",
"numpy.... | andres@programo.ual.es/evaluatePCA.py | [(17, 'numpy.random.seed', 'np.random.seed', (['(0)'], {}), True, 'import numpy as np\n'), (50, 'tensorflow.examples.tutorials.mnist.input_data.read_data_sets', 'input_data.read_data_sets', (['"""MNIST_data/"""'], {}), False, 'from tensorflow.examples.tutorials.mnist import input_data\n'), (71, 'numpy.zeros', 'np.zeros... |
4k4xs4pH1r3/tf_rl_tutorial | c58d10c60cfd79b2e0661b4a49cccae8d4584c57 | # Copyright 2016 Mandiant, A FireEye Company
# Authors: Brian Jones
# License: Apache 2.0
''' Model classes for "Relational Learning with TensorFlow" tutorial '''
import numpy as np
import tensorflow as tf
from .util import ContrastiveTrainingProvider
def least_squares_objective(output, target, add_bias=True):
... | [
"tensorflow.scatter_update",
"tensorflow.concat",
"numpy.sqrt",
"tensorflow.reduce_sum",
"tensorflow.Graph",
"tensorflow.batch_matmul",
"tensorflow.Variable",
"tensorflow.initialize_all_variables",
"tensorflow.square",
"tensorflow.Session",
"tensorflow.train.AdagradOptimizer",
"tensorflow.trun... | tf_rl_tutorial/models.py | [(67, 'tensorflow.reshape', 'tf.reshape', (['output', '[-1, 2]'], {}), True, 'import tensorflow as tf\n'), (68, 'tensorflow.split', 'tf.split', (['(1)', '(2)', 'y_pairs'], {}), True, 'import tensorflow as tf\n'), (69, 'tensorflow.nn.relu', 'tf.nn.relu', (['(margin - pos_scores + neg_scores)'], {}), True, 'import tensor... |
gnes-ai/hub | 94cff9011ff6447ce1af51c5307813ab6fbbb156 | # Tencent is pleased to support the open source community by making GNES available.
#
# Copyright (C) 2019 THL A29 Limited, a Tencent company. 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... | [
"tensorflow.Graph",
"tensorflow.placeholder",
"tensorflow.train.import_meta_graph",
"tensorflow.ConfigProto",
"tensorflow.global_variables_initializer",
"tensorflow.Session",
"tensorflow.variable_scope",
"numpy.array",
"numpy.zeros"
] | encoder/i3d/i3d_encoder.py | [(51, 'gnes.helper.get_first_available_gpu', 'get_first_available_gpu', ([], {}), False, 'from gnes.helper import batching, get_first_available_gpu\n'), (54, 'tensorflow.placeholder', 'tf.placeholder', ([], {'dtype': 'tf.float32', 'shape': '(None, self.num_frame_per_clib, self.frame_size_x, self.frame_size_y, self.\n ... |
jsdussanc/luminoth | dc1c1203a40e1ecf2aaca9647f3008ab72b41438 | import tensorflow as tf
def get_width_upright(bboxes):
with tf.name_scope('BoundingBoxTransform/get_width_upright'):
bboxes = tf.cast(bboxes, tf.float32)
x1, y1, x2, y2 = tf.split(bboxes, 4, axis=1)
width = x2 - x1 + 1.
height = y2 - y1 + 1.
# Calculate up right point of b... | [
"tensorflow.concat",
"tensorflow.unstack",
"tensorflow.stack",
"tensorflow.cast",
"tensorflow.minimum",
"tensorflow.placeholder",
"tensorflow.exp",
"numpy.all",
"tensorflow.name_scope",
"tensorflow.Session",
"tensorflow.log",
"tensorflow.split"
] | luminoth/utils/bbox_transform_tf.py | [(132, 'tensorflow.placeholder', 'tf.placeholder', (['tf.float32'], {}), True, 'import tensorflow as tf\n'), (135, 'tensorflow.placeholder', 'tf.placeholder', (['tf.float32'], {}), True, 'import tensorflow as tf\n'), (138, 'tensorflow.placeholder', 'tf.placeholder', (['tf.int32'], {}), True, 'import tensorflow as tf\n'... |
harunpehlivan/tensorflow | d87a9fbbc5f49ec5ae8eb52c62628f0b1a0bf67f | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.python.ops.math_ops.reduce_sum",
"tensorflow.contrib.learn.python.learn.estimators.model_fn.ModelFnOps",
"tensorflow.python.ops.control_flow_ops.with_dependencies",
"tensorflow.python.training.training_util.get_global_step",
"numpy.squeeze",
"tensorflow.python.framework.ops.get_default_graph",... | tensorflow/contrib/factorization/python/ops/gmm.py | [(42, 'tensorflow.python.framework.constant_op.constant', 'constant_op.constant', (['(0.0)'], {}), False, 'from tensorflow.python.framework import constant_op\n'), (131, 'numpy.sum', 'np.sum', (['results[GMM.SCORES]'], {}), True, 'import numpy as np\n'), (135, 'tensorflow.contrib.framework.python.framework.checkpoint_u... |
vincentadam87/SVGPs | 0de1194bf0f24997148dfce0cd6fbffae16fb3bc | # Copyright 2016 James Hensman, alexggmatthews
#
# 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 t... | [
"tensorflow.convert_to_tensor",
"tensorflow.TensorShape",
"tensorflow.matmul",
"tensorflow.concat",
"numpy.sqrt",
"tensorflow.shape",
"tensorflow.Dimension",
"tensorflow.stack",
"tensorflow.reshape",
"tensorflow.rank",
"tensorflow.sqrt",
"tensorflow.add_n"
] | SVGPs/functions.py | [(43, 'quadrature.hermgauss', 'hermgauss', (['num_gauss_hermite_points'], {}), False, 'from quadrature import hermgauss\n'), (46, 'tensorflow.shape', 'tf.shape', (['Fmu'], {}), True, 'import tensorflow as tf\n'), (68, 'tensorflow.Dimension', 'tf.Dimension', (['(0)'], {}), True, 'import tensorflow as tf\n'), (69, 'tenso... |
Holmeswww/Text_Infilling | f63cd24bee5c62d7dedd8fb35c4e52aee20c39f3 | #
"""
Adversarial losses.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
def binary_adversarial_losses(real_data,
fake_data,
discriminator_fn,
... | [
"tensorflow.zeros_like",
"tensorflow.ones_like"
] | texar/losses/adv_losses.py | [(44, 'tensorflow.ones_like', 'tf.ones_like', (['real_logits'], {}), True, 'import tensorflow as tf\n'), (50, 'tensorflow.zeros_like', 'tf.zeros_like', (['fake_logits'], {}), True, 'import tensorflow as tf\n'), (58, 'tensorflow.ones_like', 'tf.ones_like', (['fake_logits'], {}), True, 'import tensorflow as tf\n')] |
sweetpand/tensorflow_mri | 7a483cbbbe515ad395928311759505707bd72503 | import sonnet as snt
import tensorflow as tf
from util.helper import GraphKeys, add_to_collection
from util.layers import DenseLayer, LossLayer, OptimizerLayer, ModelBase
class PairwiseGMF(ModelBase):
def __init__(self, config):
"""
:param config:
"""
# super(PairwiseGMF, self)._... | [
"tensorflow.get_collection",
"tensorflow.placeholder",
"tensorflow.truncated_normal_initializer",
"tensorflow.summary.merge_all",
"tensorflow.contrib.layers.xavier_initializer",
"tensorflow.contrib.layers.l2_regularizer",
"tensorflow.add_to_collection"
] | recommendation_system_demos/Basic-CMN-Demo/util/gmf.py | [(35, 'tensorflow.summary.merge_all', 'tf.summary.merge_all', ([], {}), True, 'import tensorflow as tf\n'), (42, 'util.layers.DenseLayer', 'DenseLayer', (['(1)', '(False)', 'tf.nn.relu'], {'initializers': 'self._initializers', 'regularizers': 'self._regularizers', 'name': '"""OutputVector"""'}), False, 'from util.layer... |
sweetpand/tensorflow_mri | 7a483cbbbe515ad395928311759505707bd72503 | import tensorflow as tf
from tensorflow.python.ops.rnn_cell import *
from tensorflow.python.ops.rnn_cell_impl import _Linear
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import init_ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import variable_scope as vs
class ... | [
"tensorflow.concat",
"tensorflow.python.ops.array_ops.split",
"tensorflow.reduce_sum",
"tensorflow.minimum",
"tensorflow.tanh",
"tensorflow.where",
"tensorflow.python.ops.init_ops.constant_initializer",
"tensorflow.python.ops.rnn_cell_impl._Linear",
"tensorflow.while_loop",
"tensorflow.layers.dens... | recommendation_system_demos/Basic-DIEN-Demo/source_code/utils.py | [(217, 'tensorflow.tensordot', 'tf.tensordot', (['tmp', 'v'], {'axes': '(1)', 'name': '"""v_dot_tmp"""'}), True, 'import tensorflow as tf\n'), (221, 'tensorflow.where', 'tf.where', (['key_masks', 'v_dot_tmp', 'paddings'], {}), True, 'import tensorflow as tf\n'), (222, 'tensorflow.nn.softmax', 'tf.nn.softmax', (['v_dot_... |
mikimaus78/ml_monorepo | b2c2627ff0e86e27f6829170d0dac168d8e5783b | import tensorflow as tf
from src.nn_utils.general import exp_mask_for_high_rank, mask_for_high_rank
from src.nn_utils.integration_func import directional_attention_with_dense
from src.nn_utils.nn import bn_dense_layer, linear
def bi_directional_simple_block_attention(
rep_tensor, rep_mask, block_len=5, scope... | [
"tensorflow.concat",
"tensorflow.zeros",
"tensorflow.reduce_sum",
"tensorflow.cast",
"tensorflow.greater",
"tensorflow.nn.elu",
"tensorflow.nn.sigmoid",
"tensorflow.shape",
"tensorflow.identity",
"tensorflow.nn.tanh",
"tensorflow.meshgrid",
"tensorflow.split",
"tensorflow.nn.relu",
"tensor... | BiBloSA/exp_SQuAD_sim/src/nn_utils/baselines/block_attention.py | [(11, 'tensorflow.variable_scope', 'tf.variable_scope', (["(scope or 'bi_directional_simple_block_attn')"], {}), True, 'import tensorflow as tf\n'), (19, 'tensorflow.concat', 'tf.concat', (['[fw_attn_res, bw_attn_res]', '(-1)'], {}), True, 'import tensorflow as tf\n'), (34, 'tensorflow.variable_scope', 'tf.variable_sco... |
redhat6/cornac | 856cf0f546a0dc6b46f407128d89ef2534994c60 | # Copyright 2018 The Cornac Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | [
"tensorflow.Graph",
"tensorflow.nn.sigmoid",
"numpy.random.seed",
"numpy.arange",
"tensorflow.placeholder",
"tensorflow.compat.v1.logging.set_verbosity",
"tensorflow.ConfigProto",
"tensorflow.global_variables_initializer",
"tensorflow.initializers.lecun_uniform",
"tensorflow.Session",
"tensorflo... | cornac/models/ncf/recom_gmf.py | [(117, 'numpy.random.seed', 'np.random.seed', (['self.seed'], {}), True, 'import numpy as np\n'), (119, 'tensorflow.compat.v1.logging.set_verbosity', 'tf.compat.v1.logging.set_verbosity', (['tf.compat.v1.logging.ERROR'], {}), True, 'import tensorflow as tf\n'), (121, 'tensorflow.Graph', 'tf.Graph', ([], {}), True, 'imp... |
EdwardFerdian/4DFlowNet | e9c8bf72660b41ef5c7b6c677a71283ead32bbab | import tensorflow as tf
class SR4DFlowNet():
def __init__(self, res_increase):
self.res_increase = res_increase
def build_network(self, u, v, w, u_mag, v_mag, w_mag, low_resblock=8, hi_resblock=4, channel_nr=64):
channel_nr = 64
speed = (u ** 2 + v ** 2 + w ** 2) ** 0.5
mag = ... | [
"tensorflow.transpose",
"tensorflow.keras.layers.LeakyReLU",
"tensorflow.keras.regularizers.l2",
"tensorflow.reshape",
"tensorflow.keras.layers.Conv3D",
"tensorflow.keras.layers.concatenate",
"tensorflow.compat.v1.image.resize_bilinear",
"tensorflow.pad"
] | src/Network/SR4DFlowNet.py | [(77, 'tensorflow.reshape', 'tf.reshape', (['input_tensor', '[-1, y_size, z_size, c_size]'], {'name': '"""reshape_bx"""'}), True, 'import tensorflow as tf\n'), (78, 'tensorflow.compat.v1.image.resize_bilinear', 'tf.compat.v1.image.resize_bilinear', (['squeeze_b_x', '[y_size_new, z_size_new]'], {'align_corners': 'align'... |
yyht/bert | 480c909e0835a455606e829310ff949c9dd23549 | try:
from .model_interface import model_zoo
except:
from model_interface import model_zoo
import tensorflow as tf
import numpy as np
from bunch import Bunch
from model_io import model_io
from task_module import classifier
import tensorflow as tf
from metric import tf_metrics
from optimizer import distributed_optim... | [
"tensorflow.metrics.accuracy",
"tensorflow.control_dependencies",
"tensorflow.reduce_sum",
"tensorflow.cast",
"tensorflow.get_collection",
"tensorflow.estimator.export.PredictOutput",
"tensorflow.argmax",
"tensorflow.nn.l2_normalize",
"tensorflow.metrics.mean",
"tensorflow.zeros_like",
"tensorfl... | t2t_bert/distributed_single_sentence_classification/model_mdd_distillation.py | [(23, 'tensorflow.nn.l2_normalize', 'tf.nn.l2_normalize', (['x', '(-1)'], {}), True, 'import tensorflow as tf\n'), (24, 'tensorflow.nn.l2_normalize', 'tf.nn.l2_normalize', (['y', '(-1)'], {}), True, 'import tensorflow as tf\n'), (28, 'tensorflow.nn.softmax', 'tf.nn.softmax', (['x'], {}), True, 'import tensorflow as tf\... |
SimiaCryptus/models | c652a23a650070b71e286f1ded93726670161940 | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.data.Dataset.from_tensors",
"tensorflow.compat.v1.enable_v2_behavior",
"tensorflow.test.main",
"tensorflow.train.get_or_create_global_step",
"tensorflow.train.GradientDescentOptimizer",
"tensorflow.contrib.eager.num_gpus",
"tensorflow.contrib.eager.defun",
"tensorflow.random_uniform",
"t... | official/mnist/mnist_eager_test.py | [(37, 'tensorflow.random_normal', 'tf.random_normal', (['[batch_size, 784]'], {}), True, 'import tensorflow as tf\n'), (38, 'tensorflow.random_uniform', 'tf.random_uniform', (['[batch_size]'], {'minval': '(0)', 'maxval': '(10)', 'dtype': 'tf.int32'}), True, 'import tensorflow as tf\n'), (39, 'tensorflow.data.Dataset.fr... |
SimiaCryptus/models | c652a23a650070b71e286f1ded93726670161940 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.constant",
"tensorflow.summary.image",
"tensorflow.contrib.training.SummaryAtEndHook",
"tensorflow.name_scope",
"tensorflow.variable_scope",
"tensorflow.contrib.training.StopAfterNEvalsHook",
"tensorflow.random_normal"
] | research/gan/mnist/conditional_eval.py | [(32, 'absl.flags.DEFINE_string', 'flags.DEFINE_string', (['"""checkpoint_dir"""', '"""/tmp/mnist/"""', '"""Directory where the model was written to."""'], {}), False, 'from absl import flags\n'), (35, 'absl.flags.DEFINE_string', 'flags.DEFINE_string', (['"""eval_dir"""', '"""/tmp/mnist/"""', '"""Directory where the re... |
shfshf/seq2annotation | a824520d46f0b3d70268fae422976a5ce1b3f4ce | import tensorflow as tf
from seq2annotation.algorithms.model import Model
class StackedBilstmCrfModel(Model):
@classmethod
def default_params(cls):
default_params = {
'stacked_layers': 2
}
return default_params
def bilstm_layer(self, embeddings, nwords):
t = t... | [
"tensorflow.concat",
"tensorflow.contrib.rnn.TimeReversedFusedRNN",
"tensorflow.contrib.rnn.LSTMBlockFusedCell",
"tensorflow.transpose"
] | seq2annotation/algorithms/Stacked_BiLSTM_CRF_model.py | [(15, 'tensorflow.transpose', 'tf.transpose', (['embeddings'], {'perm': '[1, 0, 2]'}), True, 'import tensorflow as tf\n'), (16, 'tensorflow.contrib.rnn.LSTMBlockFusedCell', 'tf.contrib.rnn.LSTMBlockFusedCell', (["self.params['lstm_size']"], {}), True, 'import tensorflow as tf\n'), (17, 'tensorflow.contrib.rnn.LSTMBlock... |
GaoX2015/intro_ds | 886e678e5353e9b4c0d4f3da83a00d6b9a2f06a5 | # -*- coding: UTF-8 -*-
"""
此脚本用于随机生成线性模型数据、定义模型以及其他工具
"""
import numpy as np
import tensorflow as tf
def generateLinearData(dimension, num):
"""
随机产生线性模型数据
参数
----
dimension ：int，自变量个数
num ：int，数据个数
返回
----
x ：np.array，自变量
y ：np.array，因变量
"""
np.random.seed(1024)... | [
"tensorflow.matmul",
"numpy.random.random",
"tensorflow.gfile.DeleteRecursively",
"numpy.random.seed",
"tensorflow.gfile.Exists",
"tensorflow.placeholder",
"tensorflow.square",
"tensorflow.get_default_graph"
] | ch06-sgd/utils.py | [(27, 'numpy.random.seed', 'np.random.seed', (['(1024)'], {}), True, 'import numpy as np\n'), (29, 'numpy.random.random', 'np.random.random', (['(num, dimension)'], {}), True, 'import numpy as np\n'), (30, 'numpy.random.random', 'np.random.random', (['(num, 1)'], {}), True, 'import numpy as np\n'), (48, 'numpy.random.s... |
Artcs1/RotationDetection | 095be17345ee9984d8de8f24eb6b5a0b2d764a06 | # -*- coding:utf-8 -*-
# Author: Xue Yang <yangxue-2019-sjtu@sjtu.edu.cn>
#
# License: Apache-2.0 license
from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
import os
import sys
import tensorflow as tf
import tensorflow.contrib.slim as slim
import numpy as np
... | [
"tensorflow.device",
"tensorflow.cast",
"tensorflow.random_shuffle",
"tensorflow.summary.scalar",
"tensorflow.add_n",
"tensorflow.py_func",
"tensorflow.Graph",
"tensorflow.contrib.slim.get_or_create_global_step",
"tensorflow.get_collection",
"tensorflow.summary.image",
"tensorflow.train.Momentum... | tools/r3det_gwd/train.py | [(15, 'sys.path.append', 'sys.path.append', (['"""../../"""'], {}), False, 'import sys\n'), (33, 'tensorflow.device', 'tf.device', (['"""/cpu:0"""'], {}), True, 'import tensorflow as tf\n'), (36, 'tensorflow.contrib.slim.get_or_create_global_step', 'slim.get_or_create_global_step', ([], {}), True, 'import tensorflow.co... |
bhbai/tensorflow | d4b5c606fc9fbd1a20b5b113b4bc831f31d889a3 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.python.framework.tensor_shape.scalar",
"tensorflow.python.ops.math_ops.log",
"tensorflow.python.ops.array_ops.shape",
"tensorflow.python.ops.check_ops.assert_positive",
"tensorflow.python.ops.math_ops.square",
"tensorflow.python.ops.math_ops.digamma",
"tensorflow.python.ops.random_ops.random... | tensorflow/contrib/distributions/python/ops/inverse_gamma.py | [(165, 'tensorflow.contrib.distributions.python.ops.distribution_util.AppendDocstring', 'distribution_util.AppendDocstring', (['"""This is defined to be\n\n ```\n entropy = alpha - log(beta) + log(Gamma(alpha))\n + (1-alpha)digamma(alpha)\n ```\n\n where digamma(alpha) is the digamma function."... |
vincentcheny/models | afb1a59fc1bc792ac72d1a3e22e2469020529788 | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | [
"tensorflow.constant",
"tensorflow.gradients",
"tensorflow.placeholder",
"tensorflow.test.main",
"tensorflow.global_variables_initializer",
"numpy.random.normal",
"numpy.argmax",
"tensorflow.square",
"tensorflow.trainable_variables",
"tensorflow.random_normal"
] | research/gan/progressive_gan/networks_test.py | [(34, 'networks.num_filters', 'networks.num_filters', (['block_id', '(8)', '(1)', '(8)'], {}), False, 'import networks\n'), (248, 'tensorflow.test.main', 'tf.test.main', ([], {}), True, 'import tensorflow as tf\n'), (40, 'networks.ResolutionSchedule', 'networks.ResolutionSchedule', ([], {'start_resolutions': '[5, 3]', ... |
vincentcheny/models | afb1a59fc1bc792ac72d1a3e22e2469020529788 | # Copyright 2018 The TensorFlow Authors All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ... | [
"tensorflow.reduce_max",
"tensorflow.nn.dynamic_rnn",
"tensorflow.concat",
"tensorflow.zeros",
"tensorflow.greater",
"tensorflow.nn.rnn_cell.LSTMCell",
"tensorflow.zeros_initializer",
"tensorflow.less",
"tensorflow.contrib.layers.xavier_initializer",
"tensorflow.to_float",
"tensorflow.reverse_se... | research/fivo/fivo/models/vrnn.py | [(31, 'collections.namedtuple', 'namedtuple', (['"""VRNNState"""', '"""rnn_state latent_encoded"""'], {}), False, 'from collections import namedtuple\n'), (216, 'collections.namedtuple', 'namedtuple', (['"""TrainableVRNNState"""', "(VRNNState._fields + ('rnn_out',))"], {}), False, 'from collections import namedtuple\n'... |
vincentcheny/models | afb1a59fc1bc792ac72d1a3e22e2469020529788 | # 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 ... | [
"tensorflow.get_variable",
"tensorflow.concat",
"tensorflow.zeros",
"tensorflow.nn.max_pool",
"tensorflow.cast",
"tensorflow.nn.conv2d_transpose",
"tensorflow.nn.conv2d",
"tensorflow.sparse_to_dense",
"tensorflow.image.random_flip_left_right",
"tensorflow.assign_add",
"tensorflow.random_uniform_... | research/real_nvp/real_nvp_utils.py | [(428, 'numpy.array', 'numpy.array', (['[[[[1.0, 0.0, 0.0, 0.0]], [[0.0, 0.0, 1.0, 0.0]]], [[[0.0, 0.0, 0.0, 1.0]],\n [[0.0, 1.0, 0.0, 0.0]]]]'], {}), False, 'import numpy\n'), (33, 'tensorflow.square', 'tf.square', (['(input_ - mean)'], {}), True, 'import tensorflow as tf\n'), (34, 'tensorflow.reduce_max', 'tf.redu... |
vincentcheny/models | afb1a59fc1bc792ac72d1a3e22e2469020529788 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | [
"tensorflow.constant",
"tensorflow.resource_loader.get_data_files_path",
"tensorflow.transpose",
"tensorflow.shape",
"tensorflow.image.resize_images",
"tensorflow.test.main",
"tensorflow.placeholder",
"numpy.concatenate",
"numpy.random.rand",
"tensorflow.set_random_seed",
"numpy.array",
"tenso... | research/object_detection/inputs_test.py | [(45, 'object_detection.utils.config_util.get_configs_from_pipeline_file', 'config_util.get_configs_from_pipeline_file', (['fname'], {}), False, 'from object_detection.utils import config_util\n'), (51, 'object_detection.utils.config_util.merge_external_params_with_configs', 'config_util.merge_external_params_with_conf... |
vincentcheny/models | afb1a59fc1bc792ac72d1a3e22e2469020529788 | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | [
"tensorflow.constant",
"tensorflow.image.resize_images",
"tensorflow.reduce_sum",
"tensorflow.reshape",
"tensorflow.global_variables",
"tensorflow.test.main",
"tensorflow.contrib.layers.fully_connected",
"tensorflow.contrib.layers.flatten",
"tensorflow.random_uniform"
] | research/object_detection/legacy/trainer_test.py | [(34, 'tensorflow.random_uniform', 'tf.random_uniform', (['[32, 32, 3]'], {'dtype': 'tf.float32'}), True, 'import tensorflow as tf\n'), (35, 'tensorflow.constant', 'tf.constant', (['"""image_000000"""'], {}), True, 'import tensorflow as tf\n'), (36, 'tensorflow.random_uniform', 'tf.random_uniform', (['[1]'], {'minval':... |
mkulariya1/tefla | 8de25c1b67dcf025535f5e8c40539de59acd7fb8 | # -------------------------------------------------------------------#
# Written by Mrinal Haloi
# Contact: mrinal.haloi11@gmail.com
# Copyright 2016, Mrinal Haloi
# -------------------------------------------------------------------#
import numpy as np
import tensorflow as tf
import numbers
from functools import parti... | [
"tensorflow.convert_to_tensor",
"tensorflow.nn.softmax_cross_entropy_with_logits",
"tensorflow.concat",
"tensorflow.is_finite",
"tensorflow.control_dependencies",
"tensorflow.scatter_sub",
"tensorflow.reduce_sum",
"numpy.linspace",
"tensorflow.cast",
"tensorflow.equal",
"tensorflow.zeros",
"te... | tefla/core/losses.py | [(56, 'tensorflow.losses.compute_weighted_loss', 'tf.losses.compute_weighted_loss', (['losses', 'weights'], {}), True, 'import tensorflow as tf\n'), (396, 'tensorflow.reduce_max', 'tf.reduce_max', (['x', 'axis'], {}), True, 'import tensorflow as tf\n'), (397, 'tensorflow.reduce_max', 'tf.reduce_max', (['x', 'axis'], {'... |
mkulariya1/tefla | 8de25c1b67dcf025535f5e8c40539de59acd7fb8 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import abc
import six
import os
import tensorflow as tf
from . import text_encoder
from .texttfrecords import TextTFRecord
UNSHUFFLED_SUFFIX = "-unshuffled"
@six.add_metaclass(abc.ABCMeta)
class TextDataset... | [
"tensorflow.gfile.Glob",
"tensorflow.VarLenFeature"
] | tefla/dataset/textdataset.py | [(16, 'six.add_metaclass', 'six.add_metaclass', (['abc.ABCMeta'], {}), False, 'import six\n'), (160, 'os.path.join', 'os.path.join', (['self._data_dir', 'self._dataset_name'], {}), False, 'import os\n'), (95, 'tensorflow.VarLenFeature', 'tf.VarLenFeature', (['tf.int64'], {}), True, 'import tensorflow as tf\n'), (95, 't... |
Monnoroch/tensorflow | 1d76583411038767f673a0c96174c80eaf9ff42f | """## Arithmetic Operators
TensorFlow provides several operations that you can use to add basic arithmetic
operators to your graph.
@@add
@@sub
@@mul
@@div
@@mod
## Basic Math Functions
TensorFlow provides several operations that you can use to add basic
mathematical functions to your graph.
@@add_n
@@abs
@@neg
@@... | [
"tensorflow.python.framework.tensor_shape.scalar",
"tensorflow.python.ops.gen_math_ops._range",
"tensorflow.python.ops.gen_math_ops._abs",
"tensorflow.python.framework.tensor_shape.TensorShape",
"tensorflow.python.ops.array_ops.shape",
"tensorflow.python.framework.ops.op_scope",
"tensorflow.python.ops.s... | tensorflow/python/ops/math_ops.py | [(386, 'tensorflow.python.framework.ops.Tensor._override_operator', 'ops.Tensor._override_operator', (['"""__neg__"""', 'neg'], {}), False, 'from tensorflow.python.framework import ops\n'), (387, 'tensorflow.python.framework.ops.Tensor._override_operator', 'ops.Tensor._override_operator', (['"""__abs__"""', 'abs'], {})... |
intel-isl/MetaLearningTradeoffs | bb1b849742a959310f3b9b630bb76ae3509a5d4a | import tensorflow as tf
import numpy as np
import time
from maml_zoo.logger import logger
class Trainer(object):
"""
Performs steps for MAML
Args:
algo (Algo) :
env (Env) :
sampler (Sampler) :
sample_processor (SampleProcessor) :
baseline (Baseline) :
po... | [
"tensorflow.global_variables",
"tensorflow.variables_initializer",
"tensorflow.is_variable_initialized",
"tensorflow.Session",
"numpy.sum"
] | maml_zoo/meta_trainer.py | [(141, 'maml_zoo.logger.logger.log', 'logger.log', (['"""Training finished"""'], {}), False, 'from maml_zoo.logger import logger\n'), (45, 'tensorflow.Session', 'tf.Session', ([], {}), True, 'import tensorflow as tf\n'), (66, 'time.time', 'time.time', ([], {}), False, 'import time\n'), (64, 'tensorflow.variables_initia... |
500kg/learn2branch | 693d6f68def3ce290a0f5f289820e708019c019a | import os
import sys
import importlib
import argparse
import csv
import numpy as np
import time
import pickle
import pathlib
import gzip
import tensorflow as tf
import tensorflow.contrib.eager as tfe
import svmrank
import utilities
from utilities_tf import load_batch_gcnn
def load_batch_flat(sample_files, feats_t... | [
"tensorflow.convert_to_tensor",
"tensorflow.reduce_max",
"tensorflow.enable_eager_execution",
"tensorflow.executing_eagerly",
"tensorflow.shape",
"numpy.asarray",
"tensorflow.reduce_sum",
"tensorflow.data.Dataset.from_tensor_slices",
"tensorflow.reshape",
"tensorflow.squeeze",
"tensorflow.Config... | 04_test.py | [(45, 'tensorflow.reduce_max', 'tf.reduce_max', (['n_vars_per_sample'], {}), True, 'import tensorflow as tf\n'), (47, 'tensorflow.split', 'tf.split', ([], {'value': 'output', 'num_or_size_splits': 'n_vars_per_sample', 'axis': '(1)'}), True, 'import tensorflow as tf\n'), (117, 'argparse.ArgumentParser', 'argparse.Argume... |
spacegoing/t2t_caps | ded708b738fa8966eb7544708c4a785479da4c3c | # coding=utf-8
# Copyright 2018 The Tensor2Tensor Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | [
"tensorflow.logging.info",
"tensorflow.FixedLenFeature",
"tensorflow.gfile.Open",
"tensorflow.VarLenFeature"
] | tensor2tensor/data_generators/text_problems.py | [(236, 'tensor2tensor.data_generators.generator_utils.pack_examples', 'generator_utils.pack_examples', (['generator', 'self.has_inputs', 'self.packed_length'], {'chop_long_sequences': '(not self.has_inputs)'}), False, 'from tensor2tensor.data_generators import generator_utils\n'), (290, 'tensor2tensor.data_generators.g... |
aditya2592/PoseCNN | da9eaae850eed7521a2a48a4d27474d655caab42 | import tensorflow as tf
from tensorflow.python.framework import ops
import hard_label_op
@ops.RegisterShape("Hardlabel")
def _hard_label_shape(op):
output_shape = op.inputs[0].get_shape()
return [output_shape]
@ops.RegisterGradient("Hardlabel")
def _hard_label_grad(op, grad):
bottom_prob = op.inputs[0]
bott... | [
"tensorflow.python.framework.ops.RegisterShape",
"tensorflow.python.framework.ops.RegisterGradient"
] | lib/hard_label_layer/hard_label_op_grad.py | [(5, 'tensorflow.python.framework.ops.RegisterShape', 'ops.RegisterShape', (['"""Hardlabel"""'], {}), False, 'from tensorflow.python.framework import ops\n'), (11, 'tensorflow.python.framework.ops.RegisterGradient', 'ops.RegisterGradient', (['"""Hardlabel"""'], {}), False, 'from tensorflow.python.framework import ops\n... |
kadeng/tensorflow_project_workspace | dee284fb2d1796329895130a075cd57a62ea873f | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.contrib.layers.parse_feature_columns_from_examples",
"tensorflow.contrib.learn.python.learn.estimators.head._multi_class_head",
"tensorflow.contrib.framework.python.ops.variables.get_global_step",
"tensorflow.contrib.learn.python.learn.estimators.dnn_linear_combined._extract_embedding_lr_multiplie... | tensorflow/contrib/learn/python/learn/estimators/dnn.py | [(66, 'tensorflow.python.summary.summary.histogram', 'summary.histogram', (["('%s_activation' % tag)", 'value'], {}), False, 'from tensorflow.python.summary import summary\n'), (116, 'tensorflow.python.ops.partitioned_variables.min_max_variable_partitioner', 'partitioned_variables.min_max_variable_partitioner', ([], {'... |
873040/Abhishek | 2ddd716e66bc5cc6e6f0787508dd07da0e02e75a |
# Copyright 2018 The TensorFlow Authors All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"numpy.clip",
"tensorflow.gfile.Open",
"matplotlib.use",
"tensorflow.global_variables",
"matplotlib.pyplot.get_cmap",
"numpy.percentile",
"numpy.delete",
"tensorflow.trainable_variables",
"numpy.array",
"tensorflow.contrib.framework.list_variables"
] | research/struct2depth/util.py | [(28, 'matplotlib.use', 'matplotlib.use', (['"""Agg"""'], {}), False, 'import matplotlib\n'), (51, 'matplotlib.pyplot.get_cmap', 'plt.get_cmap', (['cmap'], {}), True, 'import matplotlib.pyplot as plt\n'), (61, 'cv2.imdecode', 'cv2.imdecode', (['im_data', 'cv2.IMREAD_COLOR'], {}), False, 'import cv2\n'), (62, 'cv2.cvtCo... |
873040/Abhishek | 2ddd716e66bc5cc6e6f0787508dd07da0e02e75a | # Copyright 2017 The TensorFlow Authors All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | [
"tensorflow.concat",
"tensorflow.zeros",
"tensorflow.stack",
"tensorflow.cast",
"tensorflow.to_int32",
"tensorflow.linspace",
"tensorflow.add_n",
"tensorflow.floor",
"tensorflow.gather",
"tensorflow.to_float",
"tensorflow.matmul",
"tensorflow.shape",
"tensorflow.less_equal",
"tensorflow.cl... | research/ptn/nets/perspective_transform.py | [(276, 'tensorflow.variable_scope', 'tf.variable_scope', (['name'], {}), True, 'import tensorflow as tf\n'), (59, 'tensorflow.variable_scope', 'tf.variable_scope', (['"""_repeat"""'], {}), True, 'import tensorflow as tf\n'), (64, 'tensorflow.to_int32', 'tf.to_int32', (['rep'], {}), True, 'import tensorflow as tf\n'), (... |
BreastGAN/augmentation | 0e1bcb7175e2b2a45cd8084bb14521e26b68caea | # Copyright 2019 Lukas Jendele and Ondrej Skopek.
# Adapted from The TensorFlow Authors, under the ASL 2.0.
#
# 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/licen... | [
"tensorflow.nn.softmax",
"tensorflow.contrib.layers.python.layers.initializers.xavier_initializer",
"tensorflow.reshape",
"tensorflow.python.ops.init_ops.zeros_initializer",
"tensorflow.constant_initializer",
"tensorflow.python.ops.variable_scope.variable_scope",
"tensorflow.python.framework.ops.convert... | models/breast_cycle_gan/custom/conv/contrib.py | [(56, 'tensorflow.contrib.layers.python.layers.initializers.xavier_initializer', 'initializers.xavier_initializer', ([], {}), False, 'from tensorflow.contrib.layers.python.layers import initializers\n'), (58, 'tensorflow.python.ops.init_ops.zeros_initializer', 'init_ops.zeros_initializer', ([], {}), False, 'from tensor... |
LinZichuan/AdMRL | 50a22d4d480e99125cc91cc65dfcc0df4a883ac6 | import sys
sys.path = ['./rllab/'] + sys.path
print (sys.path)
import pickle
import os,time
from collections import deque
import tensorflow as tf
import numpy as np
import lunzi.nn as nn
from lunzi.Logger import logger
from slbo.utils.average_meter import AverageMeter
from slbo.utils.flags import FLAGS
from slbo.utils.... | [
"tensorflow.get_default_session",
"numpy.allclose",
"numpy.isnan",
"tensorflow.assign",
"numpy.linalg.norm",
"numpy.concatenate",
"tensorflow.global_variables_initializer",
"numpy.std",
"numpy.mean",
"numpy.prod",
"numpy.load",
"numpy.array"
] | main.py | [(101, 'click.command', 'click.command', ([], {}), False, 'import click\n'), (102, 'click.option', 'click.option', (['"""--setting"""'], {'default': '"""default"""'}), False, 'import click\n'), (103, 'click.option', 'click.option', (['"""--adv"""'], {'default': '(1)'}), False, 'import click\n'), (104, 'click.option', '... |
rcelebi/android-elfali | 4ea14a58a18356ef9e16aba2e7dae84c02afba12 | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
"tensorflow.contrib.framework.python.ops.variables.get_global_step",
"tensorflow.python.ops.array_ops.shape",
"tensorflow.python.ops.array_ops.tile",
"tensorflow.python.framework.ops.get_collection",
"tensorflow.contrib.layers.python.layers.feature_column_ops.check_feature_columns",
"tensorflow.python.ops... | jni-build/jni/include/tensorflow/contrib/learn/python/learn/estimators/dnn_linear_combined.py | [(110, 'tensorflow.contrib.learn.python.learn.estimators.composable_model.LinearComposableModel', 'composable_model.LinearComposableModel', ([], {'num_label_columns': 'target_column.num_label_columns', 'optimizer': 'linear_optimizer', 'gradient_clip_norm': 'gradient_clip_norm', 'num_ps_replicas': 'num_ps_replicas'}), F... |
hephaex/probability | 740d0db0bf2b1e1a04cfd0b55481c44380b3cb05 | # Copyright 2018 The TensorFlow 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 o... | [
"tensorflow.convert_to_tensor",
"tensorflow.transpose",
"tensorflow.constant",
"tensorflow.range",
"tensorflow.sort",
"tensorflow.identity",
"numpy.sort",
"numpy.size",
"tensorflow.argsort",
"tensorflow.name_scope",
"tensorflow.compat.v1.assert_rank",
"tensorflow.rank",
"tensorflow.get_stati... | tensorflow_probability/python/bijectors/transpose.py | [(182, 'tensorflow.constant', 'tf.constant', (['(0)'], {'dtype': 'y.dtype'}), True, 'import tensorflow as tf\n'), (185, 'tensorflow.constant', 'tf.constant', (['(0)'], {'dtype': 'x.dtype'}), True, 'import tensorflow as tf\n'), (193, 'tensorflow.transpose', 'tf.transpose', ([], {'a': 'x', 'perm': 'perm'}), True, 'import... |
jacke121/MBMD | 2daf5edb4fb40ee652baead4f9332ca00fa111a5 | from object_detection.core.target_assigner import TargetAssigner
import tensorflow as tf
from object_detection.core import box_list
class TargetAssignerExtend(TargetAssigner):
def assign(self, anchors, groundtruth_boxes, groundtruth_labels=None,
**params):
"""Assign classification and regres... | [
"tensorflow.control_dependencies",
"tensorflow.shape",
"tensorflow.cast",
"tensorflow.expand_dims",
"tensorflow.gather",
"tensorflow.dynamic_stitch"
] | core/target_assigner.py | [(99, 'tensorflow.gather', 'tf.gather', (['groundtruth_labels', 'matched_gt_indices'], {}), True, 'import tensorflow as tf\n'), (100, 'tensorflow.cast', 'tf.cast', (['(matched_label[:, (0)] <= 0)', 'tf.float32'], {}), True, 'import tensorflow as tf\n'), (103, 'tensorflow.gather', 'tf.gather', (['reg_weights', 'unmatche... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.