repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
NerveNet | NerveNet-master/util/nn_cells.py | """
Basic cells of neural network
Renjie Liao
"""
import tensorflow as tf
from six.moves import xrange
def weight_variable(shape,
init_method=None,
dtype=tf.float32,
init_para=None,
wd=None,
seed=1234,
... | 16,843 | 31.330134 | 80 | py |
NerveNet | NerveNet-master/util/summary_handler.py | # -----------------------------------------------------------------------------
# @brief:
# define the how to record the summary
# @author:
# Tingwu Wang
# -----------------------------------------------------------------------------
import init_path
from util import logger
import tensorflow as tf
impo... | 3,068 | 33.875 | 79 | py |
NerveNet | NerveNet-master/util/ob_normalizer.py | # -----------------------------------------------------------------------------
# @brief:
# do a running mean and normalization on the observation
# This is actually very important for the performances
# @Updated:
# Jun., 22rd, 2017, by Tingwu Wang
# Aug., 8th, 2017, add the running mean by ... | 2,322 | 29.168831 | 79 | py |
NerveNet | NerveNet-master/util/init_path.py | ../tool/init_path.py | 20 | 20 | 20 | py |
NerveNet | NerveNet-master/util/parallel_util.py | # -----------------------------------------------------------------------------
# @brief:
# Define some signals used during parallel
# -----------------------------------------------------------------------------
# it makes the main trpo agent push its weights into the tunnel
START_SIGNAL = 1
# it ends the tr... | 659 | 27.695652 | 79 | py |
NerveNet | NerveNet-master/util/utils.py | # -----------------------------------------------------------------------------
# @brief:
# some helper functions about stats and layers
# -----------------------------------------------------------------------------
import tensorflow as tf
import numpy as np
import scipy.signal
from six.moves import xrange
... | 6,273 | 26.884444 | 80 | py |
NerveNet | NerveNet-master/util/logger.py | # -----------------------------------------------------------------------------
# @brief:
# The logger here will be called all across the project. It is inspired
# by Yuxin Wu (ppwwyyxx@gmail.com)
#
# @author:
# Tingwu Wang, 2017, Feb, 20th
# -----------------------------------------------------------... | 2,698 | 28.336957 | 79 | py |
NerveNet | NerveNet-master/util/fpdb.py | # -----------------------------------------------------------------------------
# @brief:
# some helper functions about pdb.
# -----------------------------------------------------------------------------
import sys
import pdb
class fpdb(pdb.Pdb):
'''
@brief:
a Pdb subclass that may b... | 621 | 24.916667 | 80 | py |
NerveNet | NerveNet-master/util/__init__.py | 0 | 0 | 0 | py | |
NerveNet | NerveNet-master/util/model_saver.py | # -----------------------------------------------------------------------------
# @brief: it is out-dated
# in this model, we save the weights by our own function
# written by Tingwu Wang
# -----------------------------------------------------------------------------
import init_path
import numpy as np
fr... | 9,731 | 37.466403 | 80 | py |
NerveNet | NerveNet-master/graph_util/mujoco_parser.py | #!/usr/bin/env python2
# -----------------------------------------------------------------------------
# @brief:
# Some helper functions to parse the mujoco xml template files
# @author:
# Tingwu Wang, Jun 23rd, 2017
# @UPDATE:
# 1. add the tendon support
# 2. add support for HumanoidStand... | 32,830 | 37.624706 | 80 | py |
NerveNet | NerveNet-master/graph_util/init_path.py | ../tool/init_path.py | 20 | 20 | 20 | py |
NerveNet | NerveNet-master/graph_util/gnn_util.py | #!/usr/bin/env python2
# -----------------------------------------------------------------------------
# @brief:
# Some helper functions to parse the mujoco xml template files
# @author:
# Tingwu Wang, Jun 23rd, 2017
# @UPDATE:
# ------------------------------------------------------------------------... | 5,841 | 33.77381 | 79 | py |
NerveNet | NerveNet-master/graph_util/structure_mapper.py | #!/usr/bin/env python2
# -----------------------------------------------------------------------------
# @author:
# Tingwu Wang, Jun 23rd, 2017
# -----------------------------------------------------------------------------
import init_path
from util import logger
import mujoco_parser
import numpy as np
_BA... | 7,820 | 39.947644 | 79 | py |
NerveNet | NerveNet-master/graph_util/graph_data_util.py | #!/usr/bin/env python2
# -----------------------------------------------------------------------------
# @brief:
# In this function, we change the data from [batch_size, ob_dim] into
# [batch_size * num_node, hidden_dim]
# @author:
# Tingwu Wang, Jul. 13th, 2017
# ---------------------------------... | 9,681 | 35.813688 | 79 | py |
NerveNet | NerveNet-master/graph_util/__init__.py | 0 | 0 | 0 | py | |
NerveNet | NerveNet-master/network/gated_graph_baseline_network.py | # -----------------------------------------------------------------------------
# @brief:
# For the baseline network, we only need three functions to be defined
# @fit, @save_checkpoint, and @load_checkpoint
# @author:
# Tingwu Wang, modified from kvfran and ppo repository.
# ---------------------... | 2,024 | 33.322034 | 79 | py |
NerveNet | NerveNet-master/network/baseline_network.py | # -----------------------------------------------------------------------------
# @brief:
# For the baseline network, we only need three functions to be defined
# @fit, @save_checkpoint, and @load_checkpoint
# @author:
# Tingwu Wang, modified from kvfran and ppo repository.
# ---------------------... | 2,867 | 30.173913 | 79 | py |
NerveNet | NerveNet-master/network/policy_network.py | # -----------------------------------------------------------------------------
# @author:
# Tingwu Wang
# TODO: 1. modify the mlp layer setting (list)
# -----------------------------------------------------------------------------
import init_path
import tensorflow as tf
import numpy as np
from util.utils im... | 6,738 | 36.232044 | 79 | py |
NerveNet | NerveNet-master/network/__init__.py | 0 | 0 | 0 | py | |
NerveNet | NerveNet-master/network/gated_graph_policy_network.py | # ------------------------------------------------------------------------------
# @author:
# Tingwu Wang, modified from the code of Renjie Liao.
# @UPDATE:
# 27th, Aug: MAJOR UPDATE: change the node input totally.
# NOTE: Now the input is in node order
# ------------------------------------------... | 27,384 | 39.812221 | 80 | py |
NerveNet | NerveNet-master/tool/main.py | # -----------------------------------------------------------------------------
# @brief: main fucntion
# -----------------------------------------------------------------------------
import gym
import init_path
from agent import optimization_agent
from agent import rollout_master_agent
from config.config import get... | 3,277 | 30.219048 | 79 | py |
NerveNet | NerveNet-master/tool/init_path.py | # ------------------------------------------------------------------------------
# @brief:
# In this file we init the path
# @author:
# Written by Tingwu Wang, 2016/Sep/22
# ------------------------------------------------------------------------------
import os.path as osp
import sys
import datetime
... | 779 | 18.02439 | 80 | py |
NerveNet | NerveNet-master/agent/init_path.py | ../tool/init_path.py | 20 | 20 | 20 | py |
NerveNet | NerveNet-master/agent/rollout_master_agent.py | # -----------------------------------------------------------------------------
# @brief:
# modified from the code of kvfran
# @modified:
# Tingwu Wang
# -----------------------------------------------------------------------------
import multiprocessing
import init_path
import os
from util import log... | 7,361 | 33.726415 | 80 | py |
NerveNet | NerveNet-master/agent/rollout_agent.py | # -----------------------------------------------------------------------------
# @brief:
# the agent that do the sampling of trajectories.
# @author:
# modified from the code of kvfran, modified by Tingwu Wang
# -----------------------------------------------------------------------------
import nump... | 6,817 | 33.609137 | 80 | py |
NerveNet | NerveNet-master/agent/optimization_agent.py | # ------------------------------------------------------------------------------
# @brief:
# The optimization agent is responsible for doing the updates.
# @author:
# modified from the code of kvfran, modified by Tingwu Wang
# -----------------------------------------------------------------------------... | 37,965 | 39.175661 | 83 | py |
NerveNet | NerveNet-master/agent/agent.py | # -----------------------------------------------------------------------------
# @brief:
# In this function, we define the base agent.
# The base agent should be responsible for building the policy network,
# fetch the io placeholders / tensors, and set up the variable list
# @author:
# cod... | 12,621 | 36.565476 | 79 | py |
NerveNet | NerveNet-master/agent/__init__.py | 0 | 0 | 0 | py | |
NerveNet | NerveNet-master/environments/asset_generator.py | # -----------------------------------------------------------------------------
# @brief:
# generate the xml files for each different sub-tasks of one master task
# @author:
# Tingwu Wang, Aug. 30th, 2017
# -----------------------------------------------------------------------------
import argparse
im... | 1,771 | 31.814815 | 79 | py |
NerveNet | NerveNet-master/environments/init_path.py | ../tool/init_path.py | 20 | 20 | 20 | py |
NerveNet | NerveNet-master/environments/centipede_generator.py | # -----------------------------------------------------------------------------
# @brief:
# generate the centipedes
# @author:
# Tingwu Wang, Sept. 1st, 2017
# -----------------------------------------------------------------------------
import numpy as np
MUJOCO_XML_HEAD = '''
<mujoco model="centiped... | 7,395 | 36.353535 | 163 | py |
NerveNet | NerveNet-master/environments/__init__.py | 0 | 0 | 0 | py | |
NerveNet | NerveNet-master/environments/reacher_generator.py | # -----------------------------------------------------------------------------
# @brief:
# generate the reacher
# @author:
# Tingwu Wang, Sept. 3rd, 2017
# -----------------------------------------------------------------------------
MUJOCO_XML_HEAD = '''
<mujoco model="modified_reacher">
<compiler... | 4,800 | 40.034188 | 156 | py |
NerveNet | NerveNet-master/environments/register.py | # -----------------------------------------------------------------------------
# @brief:
# register the environments here
# @author:
# Tingwu Wang, July 3rd, 2017
# -----------------------------------------------------------------------------
from gym.envs.registration import register
import num2words... | 9,106 | 33.236842 | 79 | py |
NerveNet | NerveNet-master/environments/snake_generator.py | # -----------------------------------------------------------------------------
# @brief:
# generate the snakes
# @author:
# Tingwu Wang, Sept. 1st, 2017
# -----------------------------------------------------------------------------
MUJOCO_XML_HEAD = '''
<mujoco model="swimmer">
<compiler angle="de... | 3,940 | 35.155963 | 163 | py |
NerveNet | NerveNet-master/environments/transfer_env/snake_env.py | #!/usr/bin/env python2
# -----------------------------------------------------------------------------
# @brief:
# The snake environments.
# @author:
# Tingwu (Wilson) Wang, Aug. 30nd, 2017
# -----------------------------------------------------------------------------
import numpy as np
from gym impor... | 5,427 | 24.847619 | 79 | py |
NerveNet | NerveNet-master/environments/transfer_env/reacher_env.py | #!/usr/bin/env python2
# -----------------------------------------------------------------------------
# @brief:
# The reacher task
# @author:
# Tingwu (Wilson) Wang, July 22nd, 2017
# -----------------------------------------------------------------------------
import numpy as np
from gym import utils... | 8,703 | 23.449438 | 79 | py |
NerveNet | NerveNet-master/environments/transfer_env/antS.py | #!/usr/bin/env python2
# -----------------------------------------------------------------------------
# @brief:
# The slim ant environments.
# @author:
# Tingwu (Wilson) Wang, Aug. 30nd, 2017
# -----------------------------------------------------------------------------
import numpy as np
from gym im... | 2,175 | 34.672131 | 92 | py |
NerveNet | NerveNet-master/environments/transfer_env/centipede_env.py | #!/usr/bin/env python2
# -----------------------------------------------------------------------------
# @brief:
# The Centipede environments.
# @author:
# Tingwu (Wilson) Wang, Aug. 30nd, 2017
# -----------------------------------------------------------------------------
import numpy as np
from gym i... | 7,635 | 27.492537 | 83 | py |
NerveNet | NerveNet-master/environments/transfer_env/invpendulum_env.py | #!/usr/bin/env python2
# -----------------------------------------------------------------------------
# @brief:
# The snake environments.
# @author:
# Tingwu (Wilson) Wang, Aug. 30nd, 2017
# -----------------------------------------------------------------------------
import numpy as np
from gym impor... | 3,853 | 26.333333 | 79 | py |
NerveNet | NerveNet-master/environments/transfer_env/__init__.py | 0 | 0 | 0 | py | |
NerveNet | NerveNet-master/environments/multitask_env/walkers.py | #!/usr/bin/env python2
# -----------------------------------------------------------------------------
# @brief:
# Several Walkers
# @author:
# Tingwu (Wilson) Wang, Nov. 22nd, 2017
# -----------------------------------------------------------------------------
import numpy as np
from gym import utils
... | 15,916 | 30.770459 | 96 | py |
NerveNet | NerveNet-master/environments/multitask_env/__init__.py | 0 | 0 | 0 | py | |
tensorflow-onnx | tensorflow-onnx-main/setup.py | # SPDX-License-Identifier: Apache-2.0
import distutils.command.build
import os
import subprocess
from collections import namedtuple
from textwrap import dedent
import setuptools.command.build_py
import setuptools.command.develop
import setuptools.command.install
from setuptools import setup, find_packages, Command
... | 3,300 | 31.048544 | 119 | py |
tensorflow-onnx | tensorflow-onnx-main/tools/gen_doc.py | # SPDX-License-Identifier: Apache-2.0
"""
tool to list tensorflow op to onnx op mapping in markdown
"""
import argparse
import inspect
import re
from collections import OrderedDict
from tf2onnx.handler import tf_op
parser = argparse.ArgumentParser()
parser.add_argument('filename',
type=str,
... | 2,773 | 35.5 | 90 | py |
tensorflow-onnx | tensorflow-onnx-main/tools/aggregate-patterns.py | # SPDX-License-Identifier: Apache-2.0
"""
Tool to find common patterns in onnx graphs.
"""
# don't want to rename the tool
# pylint: disable=invalid-name,missing-docstring,too-many-nested-blocks
import argparse
import collections
import csv
import os
from onnx import ModelProto
class Node():
def __init__(sel... | 5,296 | 27.478495 | 111 | py |
tensorflow-onnx | tensorflow-onnx-main/tools/graphtool.py | # SPDX-License-Identifier: Apache-2.0
"""
simple tool to convert .meta to .pb.
"""
import argparse
import os
import tensorflow as tf
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument("infile", nargs="*", help="event files")
args = parser.parse_args()
return args
def to_pb(sr... | 869 | 19.232558 | 85 | py |
tensorflow-onnx | tensorflow-onnx-main/tools/save_pretrained_model.py | # SPDX-License-Identifier: Apache-2.0
"""
Save pre-trained model.
"""
import tensorflow as tf
import numpy as np
# pylint: disable=redefined-outer-name,reimported,import-outside-toplevel
def save_pretrained_model(sess, outputs, feeds, out_dir, model_name="pretrained"):
"""Save pretrained model and config"""
... | 4,060 | 36.601852 | 107 | py |
tensorflow-onnx | tensorflow-onnx-main/tools/profile_conversion_time.py | # SPDX-License-Identifier: Apache-2.0
# coding: utf-8
"""
Profiles the conversion of a Keras model.
"""
import sys
import cProfile
from pstats import SortKey, Stats
import io
import argparse
import tensorflow as tf
from tensorflow.keras.applications import MobileNet, EfficientNetB2
from tf2onnx import tfonnx
try:
... | 3,675 | 29.890756 | 82 | py |
tensorflow-onnx | tensorflow-onnx-main/tools/tfgraph.py | # SPDX-License-Identifier: Apache-2.0
"""Simple tool to guess inputs and outputs of a tensorflow model."""
import argparse
from collections import Counter
import tensorflow as tf
IGNORE_INPUT = ["Const", "ConstV2", "Variable", "VariableV2", "RestoreV2", "Restore"]
IGNORE_OUTPUT = ["NoOp", "Assign", "TensorSummaryV... | 2,330 | 27.777778 | 93 | py |
tensorflow-onnx | tensorflow-onnx-main/tools/tf_graph_tool.py | # SPDX-License-Identifier: Apache-2.0
""" Tool for common tf graph operations. """
import argparse
from collections import Counter
import logging
import os
import sys
import copy
from google.protobuf import text_format
import tensorflow as tf
from tensorflow.python.framework import graph_util
from tensorflow.core.f... | 12,738 | 35.817919 | 111 | py |
tensorflow-onnx | tensorflow-onnx-main/tools/make_regression_test_models.py | # SPDX-License-Identifier: Apache-2.0
"""Make simple test model in all tensorflow formats."""
import os
import numpy as np
import tensorflow as tf
from tensorflow.python.framework.graph_util import convert_variables_to_constants
# pylint: disable=missing-docstring
# Parameters
learning_rate = 0.02
training_epochs... | 3,280 | 36.284091 | 113 | py |
tensorflow-onnx | tensorflow-onnx-main/tools/gen_tflite_flatbuffer.py | # SPDX-License-Identifier: Apache-2.0
"""
Generates the files in tf2onnx/tflite used for parsing tflite flatbuffer
WARNING: this script will overwrite all files in tf2onnx/tflite
Before running, download the flatc executable from https://github.com/google/flatbuffers/releases and add it to PATH
This script only tested... | 1,684 | 35.630435 | 116 | py |
tensorflow-onnx | tensorflow-onnx-main/tools/onnx-optimize.py | # SPDX-License-Identifier: Apache-2.0
"""
A simple tool to try optimizations on onnx graphs.
This makes use of the fact that tensorflow-onnx internal graph representation is onnx
so all graph, rewrite, matching and utility libaries do work which makes things easy.
"""
# pylint: disable=invalid-name,missing-docstring... | 2,247 | 28.973333 | 103 | py |
tensorflow-onnx | tensorflow-onnx-main/tools/onnx-experiments.py | # SPDX-License-Identifier: Apache-2.0
"""
A simple tool to try optimizations on onnx graphs.
This makes use of the fact that tensorflow-onnx internal graph representation is onnx
so all graph, rewrite, matching and utility libaries do work which makes things easy.
"""
# pylint: disable=invalid-name,missing-docstring... | 5,238 | 32.8 | 106 | py |
tensorflow-onnx | tensorflow-onnx-main/tools/dump-onnx.py | # SPDX-License-Identifier: Apache-2.0
"""
Dump onnx graph.
"""
# don't want to rename the tool
# pylint: disable=invalid-name
import argparse
import collections
import re
import onnx
from onnx import ModelProto
from onnx import helper, shape_inference
def get_args():
parser = argparse.ArgumentParser()
par... | 2,600 | 29.244186 | 99 | py |
tensorflow-onnx | tensorflow-onnx-main/examples/end2end_tfhub.py | # SPDX-License-Identifier: Apache-2.0
"""
This example retrieves a model from tensorflowhub.
It is converted into ONNX. Predictions are compared to
the predictions from tensorflow to check there is no
discrepencies. Inferencing time is also compared between
*onnxruntime*, *tensorflow* and *tensorflow.lite*.
"""
from o... | 2,389 | 29.641026 | 68 | py |
tensorflow-onnx | tensorflow-onnx-main/examples/benchmark_tfmodel_ort.py | # SPDX-License-Identifier: Apache-2.0
"""
The following code compares the speed of tensorflow against onnxruntime
with a model downloaded from Tensorflow Hub.
"""
import os
import sys
import time
import tarfile
import subprocess
import datetime
import numpy
from tqdm import tqdm
import tensorflow_hub as hub
import onn... | 4,054 | 29.954198 | 110 | py |
tensorflow-onnx | tensorflow-onnx-main/examples/end2end_tfkeras.py | # SPDX-License-Identifier: Apache-2.0
"""
This example builds a simple model without training.
It is converted into ONNX. Predictions are compared to
the predictions from tensorflow to check there is no
discrepencies. Inferencing time is also compared between
*onnxruntime*, *tensorflow* and *tensorflow.lite*.
"""
from... | 2,202 | 29.178082 | 75 | py |
tensorflow-onnx | tensorflow-onnx-main/examples/getting_started.py | # SPDX-License-Identifier: Apache-2.0
"""
This example shows how to convert tf functions and keras models using the Python API.
It also demonstrates converting saved_models from the command line.
"""
import tensorflow as tf
import tf2onnx
import numpy as np
import onnxruntime as ort
import os
##################### t... | 1,673 | 25.15625 | 94 | py |
tensorflow-onnx | tensorflow-onnx-main/examples/custom_op_via_python.py | # SPDX-License-Identifier: Apache-2.0
"""
A simple example how to map a custom op in python.
"""
import tensorflow as tf
import tf2onnx
from onnx import helper
_TENSORFLOW_DOMAIN = "ai.onnx.converters.tensorflow"
def print_handler(ctx, node, name, args):
# replace tf.Print() with Identity
# T output = Pri... | 1,299 | 34.135135 | 106 | py |
tensorflow-onnx | tensorflow-onnx-main/examples/call_converter_via_python.py | # SPDX-License-Identifier: Apache-2.0
"""
A simple example how to call tensorflow-onnx via python.
"""
import tensorflow as tf
import tf2onnx
with tf.Session() as sess:
x = tf.placeholder(tf.float32, [2, 3], name="input")
x_ = tf.add(x, x)
_ = tf.identity(x_, name="output")
onnx_graph = tf2onnx.tfonn... | 545 | 29.333333 | 112 | py |
tensorflow-onnx | tensorflow-onnx-main/examples/tf_custom_op/double_and_add_one_custom_op.py | # SPDX-License-Identifier: Apache-2.0
import numpy as np
import tensorflow as tf
import onnx
import os
from tf2onnx import utils
from tf2onnx.handler import tf_op
from tf2onnx.tf_loader import tf_placeholder
DIR_PATH = os.path.realpath(os.path.dirname(__file__))
saved_model_path = os.path.join(DIR_PATH, "model.onnx... | 2,074 | 29.514706 | 116 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/verbose_logging.py | # SPDX-License-Identifier: Apache-2.0
"""
A wrapper of built-in logging with custom level support and utilities.
"""
from contextlib import contextmanager
import logging as _logging
from logging import * # pylint: disable=wildcard-import, unused-wildcard-import
import os
import types
import tensorflow as tf
TF2 = ... | 3,463 | 30.490909 | 110 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/graph_builder.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.graph_helper - class to help building graph, such as helping to make complex node
"""
import numpy as np
from tf2onnx import utils, logging
# pylint: disable=missing-docstring
logger = logging.getLogger(__name__)
class GraphBuilder(object):
"""help to build... | 11,851 | 41.177936 | 118 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tf_utils.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.tf_utils - misc utilities for tf2onnx that interface with tensorflow
"""
import collections
from packaging.version import Version
import numpy as np
import tensorflow as tf
from tensorflow.core.framework import types_pb2, tensor_pb2, graph_pb2
from tensorflow.pytho... | 19,760 | 40.514706 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/schemas.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.schema
"""
import logging
import copy
from collections import defaultdict, OrderedDict
from onnx import defs, helper, TensorProto, OperatorSetIdProto, shape_inference
from . import constants
from . import utils
logger = logging.getLogger(__name__)
class OnnxOpSch... | 6,896 | 34.921875 | 116 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/constants.py | # SPDX-License-Identifier: Apache-2.0
"""
common constants
"""
from onnx import helper
TF2ONNX_PACKAGE_NAME = __name__.split('.')[0]
# Built-in supported domains
ONNX_DOMAIN = ""
AI_ONNX_ML_DOMAIN = "ai.onnx.ml"
MICROSOFT_DOMAIN = "com.microsoft"
CONTRIB_OPS_DOMAIN = "ai.onnx.contrib"
# Default opset version for ... | 1,860 | 30.016667 | 119 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/graph_matcher.py | # SPDX-License-Identifier: Apache-2.0
# 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/LIC... | 9,845 | 35.065934 | 113 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/utils.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.utils - misc utilities for tf2onnx
"""
import os
import re
import shutil
import tempfile
import types
import zipfile
import logging
import requests
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
import numpy as np
from google.protobuf... | 18,971 | 30.050736 | 115 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/graph.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.graph - class to manage graph manipulation on top of onnx
"""
import collections
import copy
import logging
import six
import numpy as np
from onnx import helper, numpy_helper, shape_inference, AttributeProto, TensorProto
from tf2onnx import utils, __version__, git_... | 73,318 | 39.687569 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tfjs_utils.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.tfjs_utils - utilities for parsing tfjs files into onnx graphs
Main functions of interest are graphs_from_tfjs and read_tfjs_graph
"""
import json
import os
import base64
import gzip
import struct
import logging
from onnx import numpy_helper, helper
import numpy as... | 20,879 | 40.428571 | 118 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/version.py | # SPDX-License-Identifier: Apache-2.0
version = '1.14.0'
git_version = 'd071d17ca3f5c912ce4700d03c3f5254af70e5af'
| 116 | 18.5 | 56 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/shape_inference.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.shape_inference - shape inference function for tf2onnx
"""
import logging
from collections import defaultdict
import numpy as np
from packaging.version import Version
from tf2onnx import utils
from tf2onnx.tf_utils import get_tf_tensor_shape, get_tf_const_value, get_... | 20,779 | 35.202091 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/convert.py | # SPDX-License-Identifier: Apache-2.0
"""
python -m tf2onnx.convert : api and commandline tool to convert a tensorflow model to onnx
"""
# pylint: disable=unused-argument,unused-import,ungrouped-imports,wrong-import-position
import argparse
import os
import sys
from packaging.version import Version
os.environ['TF_... | 32,900 | 45.274262 | 119 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/__init__.py | # SPDX-License-Identifier: Apache-2.0
"""tf2onnx package."""
__all__ = ["utils", "graph_matcher", "graph", "graph_builder",
"tfonnx", "shape_inference", "schemas", "tf_utils", "tf_loader", "convert"]
import onnx
from .version import git_version, version as __version__
from . import verbose_logging as logg... | 468 | 38.083333 | 143 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/keras2onnx_api.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.keras2onnx_api - Ease migration from keras2onnx to tf2onnx.
Use tf2onnx.keras2onnx_api.convert_keras instead of deprecated keras2onnx.convert_keras
"""
# pylint: disable=unused-argument,missing-docstring
from onnx import mapping, defs
import tensorflow as tf
import t... | 2,350 | 35.169231 | 109 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/flexbuffers.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.flexbuffers - Code for parsing flexbuffers
"""
import struct
class FlexbufferParseException(Exception):
pass
def read_int(buffer, offset, bit_size):
size = 1 << bit_size
format_char = 'bhiq'[bit_size]
return struct.unpack('<' + format_char, buffer... | 6,260 | 41.591837 | 106 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tf_loader.py | # SPDX-License-Identifier: Apache-2.0
"""Methods to load tensorflow graph from graphdef, checkpoint or saved_model."""
import logging
import uuid
from packaging.version import Version
import tensorflow as tf
import numpy as np
from google.protobuf.message import DecodeError
from tensorflow.core.framework import ten... | 36,808 | 45.358942 | 119 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite_utils.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.tflite_utils - utilities for parsing tflite files into onnx graph
"""
import collections
import importlib
import logging
import struct
from onnx import helper, onnx_pb, numpy_helper
from tensorflow.core.framework import types_pb2, tensor_pb2, node_def_pb2
from tenso... | 23,217 | 45.62249 | 119 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tfonnx.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.tf2onnx - rewrite tensorflow graph to onnx graph
"""
import collections
import sys
import traceback
import numpy as np
from onnx import onnx_pb
import tf2onnx
import tf2onnx.onnx_opset # pylint: disable=unused-import
import tf2onnx.tflite_handlers # pylint: disab... | 29,314 | 43.484067 | 119 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/symbolic_executor.py | # SPDX-License-Identifier: Apache-2.0
"""symbolic executor
Computes a part of the graph symbolically using SymbolicTensorElements
"""
import numpy as np
from tf2onnx import utils
# pylint: disable=logging-not-lazy,unused-argument,missing-docstring
class SymbolicTensorElement:
"""
Helps with symbolic e... | 7,492 | 34.511848 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/handler.py | # SPDX-License-Identifier: Apache-2.0
"""Opset registry."""
import collections
import inspect
from tf2onnx import constants
# pylint: disable=unused-argument,missing-docstring,invalid-name
class tf_op:
"""Class to implement the decorator to register handlers that map tf to onnx."""
# Maps domains (strin... | 5,702 | 37.533784 | 119 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite_rewriters/tfl_qdq_rewriter.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.tflite_rewriters.tfl_qdq_rewriter - Remove qdq sequences to dequantize model
"""
from tf2onnx.graph_matcher import OpTypePattern, GraphMatcher
# pylint: disable=missing-docstring
def rewrite_tfl_qdq(g, ops):
pattern0 = \
OpTypePattern('TFL_DEQUANTIZE', ... | 2,431 | 40.931034 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite_rewriters/tfl_select_zero_rewriter.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.tflite_rewriters.tfl_select_zero_rewriter - TFLite has a pattern to remove NaN when multiplying/dividing by 0
"""
from tf2onnx.graph_matcher import OpTypePattern, GraphMatcher
# pylint: disable=missing-docstring,unused-argument
def rewrite_tfl_select_zero(g, ops):
... | 1,832 | 37.1875 | 117 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite_rewriters/tfl_scan_output_rewriter.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.tflite_rewriters.tfl_scan_output_rewriter - Identify a common slice/concat pattern in tflite subgraphs
Effectively replace A = A[:i] + [B] + A[i+1:] with A[i] = B
"""
import numpy as np
from tf2onnx.graph_matcher import OpTypePattern, GraphMatcher
# pylint: disable... | 6,432 | 39.974522 | 110 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite_rewriters/__init__.py | # SPDX-License-Identifier: Apache-2.0
"""tf2onnx.tflite_rewriters module"""
from tf2onnx.tflite_rewriters.tfl_scan_output_rewriter import rewrite_tfl_scan_outputs
from tf2onnx.tflite_rewriters.tfl_qdq_rewriter import rewrite_tfl_qdq
from tf2onnx.tflite_rewriters.tfl_select_zero_rewriter import rewrite_tfl_select_zero... | 518 | 31.4375 | 86 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite_rewriters/tfl_rfft_rewriter.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.tflite_rewriters.tfl_rfft_zero_rewriter - TFLite uses RFFT2D -> Reshape sequence to do 1D RFFT
"""
import numpy as np
from tf2onnx.graph_matcher import OpTypePattern, GraphMatcher
from tf2onnx import utils
# pylint: disable=missing-docstring,unused-argument
def r... | 2,097 | 35.807018 | 102 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/GatherOptions.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class GatherOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset... | 2,242 | 35.177419 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/DepthwiseConv2DOptions.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class DepthwiseConv2DOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, bu... | 5,180 | 43.282051 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/DivOptions.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class DivOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0)... | 1,890 | 36.078431 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/RandomOptions.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class RandomOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset... | 2,206 | 34.596774 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SelectV2Options.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class SelectV2Options(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offs... | 1,313 | 31.85 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SpaceToBatchNDOptions.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class SpaceToBatchNDOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf... | 1,355 | 32.9 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/HardSwishOptions.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class HardSwishOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, off... | 1,320 | 32.025 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/MatrixSetDiagOptions.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class MatrixSetDiagOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf,... | 1,348 | 32.725 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/QuantizationDetails.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
class QuantizationDetails(object):
NONE = 0
CustomQuantization = 1
| 206 | 17.818182 | 68 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/UniqueOptions.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class UniqueOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset... | 1,800 | 34.313725 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/Conv2DOptions.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class Conv2DOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset... | 4,442 | 40.915094 | 120 | py |
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