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
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tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_densenet_2.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import keras_segmentation
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../keras2onnx_tests/'))
from test_utils import run_image
img_path = os.path.join(os.path.dirname(__file__), '../dat... | 1,258 | 29.707317 | 107 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_open_face.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import numpy as np
from mock_keras2onnx.proto import keras, is_tf_keras
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../keras2onnx_tests/'))
from test_utils import r... | 15,525 | 55.871795 | 129 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_semantic_segmentation.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import numpy as np
import math
from onnxconverter_common.onnx_ex import get_maximum_opset_supported
from mock_keras2onnx.proto import keras
from keras.initializers import RandomNormal
from os.path import dirname, abspath
... | 82,051 | 36.552403 | 149 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_acgan.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import onnx
import numpy as np
from mock_keras2onnx.proto import keras
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../keras2onnx_tests/'))
from test_utils import ru... | 5,263 | 34.093333 | 168 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_cogan.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import onnx
import numpy as np
from mock_keras2onnx.proto import keras
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../keras2onnx_tests/'))
from test_utils import ru... | 4,356 | 30.572464 | 107 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/run_all_v2.py | # SPDX-License-Identifier: Apache-2.0
import os
os.environ["PYTHONPATH"] = \
os.environ.get("PYTHONPATH", "") + os.pathsep + "../../keras2onnx_unit_tests" + os.pathsep + "../../../"
os.environ["TF2ONNX_CATCH_ERRORS"] = "FALSE"
files = ['test_keras_applications_v2.py', 'test_transformers.py', 'test_chatbot.py', 't... | 652 | 27.391304 | 108 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_srgan.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import onnx
import numpy as np
from mock_keras2onnx.proto import keras
from keras.applications import VGG19
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../keras2onn... | 6,736 | 33.372449 | 192 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_series_net.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import numpy as np
from mock_keras2onnx.proto import keras
from keras.regularizers import l2
from keras.initializers import TruncatedNormal
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(dirname(absp... | 4,217 | 34.445378 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_wgan_gp.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import onnx
import numpy as np
from mock_keras2onnx.proto import keras
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../keras2onnx_tests/'))
from test_utils import ru... | 5,803 | 32.94152 | 107 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_transformers.py | # SPDX-License-Identifier: Apache-2.0
import os
from os.path import dirname, abspath
import unittest
import sys
sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../keras2onnx_tests/'))
import json
import urllib.request
import pickle
import numpy as np
import tensorflow as tf
from onnxconverter_common.... | 24,209 | 51.516269 | 135 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_efn.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
from os.path import dirname, abspath
from mock_keras2onnx.proto import keras, is_tensorflow_older_than
sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../keras2onnx_tests/'))
from test_utils import run_image
img_path = os.path... | 1,491 | 32.155556 | 95 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_chatbot.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import numpy as np
from mock_keras2onnx.proto import keras
from mock_keras2onnx.proto.tfcompat import is_tf2
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../keras2on... | 4,426 | 40.764151 | 130 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_unet_plus_plus.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import numpy as np
import onnxruntime
from os.path import dirname, abspath
from mock_keras2onnx.proto import keras, is_keras_older_than
from keras.applications.vgg16 import VGG16
from onnxconverter_common.onnx_ex import get_maximum_opset_suppor... | 5,964 | 35.820988 | 113 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_ccgan.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import keras_contrib
import numpy as np
from mock_keras2onnx import set_converter
from mock_keras2onnx.proto import keras
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '.... | 5,232 | 33.202614 | 131 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_nbeats.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import numpy as np
from mock_keras2onnx.proto import keras
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../keras2onnx_tests/'))
from test_utils import run_keras_and_... | 10,673 | 38.680297 | 116 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_resnext.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import numpy as np
from mock_keras2onnx.proto import keras
from mock_keras2onnx.proto.tfcompat import is_tf2
if is_tf2:
def l2(weight_decay):
# old keras layer expects a tuple but tf keras wants a single value... | 16,488 | 41.497423 | 112 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_lipnet.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import numpy as np
from mock_keras2onnx.proto import keras
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../keras2onnx_tests/'))
from test_utils import run_keras_and_... | 3,930 | 37.920792 | 136 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_deeplab_v3.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import numpy as np
from onnxconverter_common.onnx_ex import get_maximum_opset_supported
from mock_keras2onnx.proto import keras
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(dirname(abspath(__file__... | 16,644 | 42.233766 | 117 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_nasnet_mobile.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import numpy as np
from mock_keras2onnx.proto import keras
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../keras2onnx_tests/'))
from test_utils import run_keras_and_... | 16,919 | 44.12 | 118 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_autoencoder.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import numpy as np
from mock_keras2onnx.proto import keras
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../keras2onnx_tests/'))
from test_utils import run_keras_and_... | 4,717 | 33.948148 | 123 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_keras_applications.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import numpy as np
from onnxconverter_common.onnx_ex import get_maximum_opset_supported
from mock_keras2onnx.proto import keras, is_keras_older_than
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(di... | 16,893 | 42.096939 | 144 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_resume_parser.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import numpy as np
from mock_keras2onnx.proto import keras
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../keras2onnx_tests/'))
from test_utils import run_keras_and_... | 6,421 | 37.22619 | 123 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_deepface.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import numpy as np
from mock_keras2onnx.proto import keras
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../keras2onnx_tests/'))
from test_utils import run_onnx_runti... | 3,815 | 37.16 | 108 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_semantic_embeddings.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import numpy as np
from mock_keras2onnx.proto import keras
from keras import regularizers
from keras.engine import Layer, InputSpec
from keras.utils import layer_utils, conv_utils
from os.path import dirname, abspath
sys.... | 17,495 | 37.537445 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_applications/nightly_build/test_dualgan.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import unittest
import mock_keras2onnx
import onnx
import numpy as np
from mock_keras2onnx.proto import keras
from os.path import dirname, abspath
sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../keras2onnx_tests/'))
from test_utils import ru... | 4,281 | 30.485294 | 168 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_unit_tests/test_layers.py | # SPDX-License-Identifier: Apache-2.0
import pytest
import numpy as np
from mock_keras2onnx.proto.tfcompat import is_tf2, tensorflow as tf
from mock_keras2onnx.proto import (keras, is_tf_keras,
is_tensorflow_older_than, is_tensorflow_later_than,
is_... | 115,744 | 41.289003 | 229 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_unit_tests/conftest.py | # SPDX-License-Identifier: Apache-2.0
import os
import pytest
import numpy as np
import tensorflow as tf
from mock_keras2onnx.proto import keras, is_tf_keras
from test_utils import run_onnx_runtime
from mock_keras2onnx.proto.tfcompat import is_tf2
K = keras.backend
@pytest.fixture(scope='function')
def runner():
... | 880 | 22.184211 | 74 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_unit_tests/test_subclassing.py | # SPDX-License-Identifier: Apache-2.0
import pytest
import mock_keras2onnx
import numpy as np
import tensorflow as tf
from test_utils import convert_keras_for_test as convert_keras
from mock_keras2onnx.proto import is_tensorflow_older_than
if (not mock_keras2onnx.proto.is_tf_keras) or (not mock_keras2onnx.proto.tfcom... | 8,436 | 34.599156 | 102 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_unit_tests/test_cgan.py | # SPDX-License-Identifier: Apache-2.0
import pytest
import tensorflow as tf
import mock_keras2onnx
import numpy as np
from mock_keras2onnx.proto import keras, is_tf_keras, is_tensorflow_older_than
from tf2onnx.keras2onnx_api import convert_keras
from packaging.version import Version
Activation = keras.layers.Activati... | 4,662 | 34.325758 | 111 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_unit_tests/test_utils.py | # SPDX-License-Identifier: Apache-2.0
import os
import sys
import onnx
from onnx import helper
import numpy as np
import mock_keras2onnx
from mock_keras2onnx.proto import keras, is_keras_older_than
from mock_keras2onnx.proto.tfcompat import is_tf2
from packaging.version import Version
from tf2onnx.keras2onnx_api impor... | 13,088 | 37.497059 | 122 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_unit_tests/mock_keras2onnx/__init__.py |
from tf2onnx.keras2onnx_api import convert_keras
def set_converter(*args, **kwargs):
pass
| 96 | 15.166667 | 48 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_unit_tests/mock_keras2onnx/proto/tfcompat.py | # SPDX-License-Identifier: Apache-2.0
import os
import tensorflow as _tf
from packaging.version import Version
is_tf2 = Version(_tf.__version__.split('-')[0]) >= Version("2.0.0")
def normalize_tensor_shape(tensor_shape):
if is_tf2:
return [d for d in tensor_shape]
else:
return [d.value for ... | 1,292 | 27.733333 | 83 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_unit_tests/mock_keras2onnx/proto/__init__.py | # SPDX-License-Identifier: Apache-2.0
import os
import tensorflow
from packaging.version import Version
# Rather than using ONNX protobuf definition throughout our codebase, we import ONNX protobuf definition here so that
# we can conduct quick fixes by overwriting ONNX functions without changing any lines elsewhere.... | 2,109 | 29.57971 | 117 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/keras2onnx_unit_tests/mock_keras2onnx/ke2onnx/batch_norm.py | convert_keras_batch_normalization = None | 40 | 40 | 40 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_resnet_v2_152.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
from _tools import generate_random_images, benchmark
def main(opset=13):
url = "https://tfhub.dev/google/imagenet/resnet_v2_152/classification/5?tf-hub-format=compressed"
dest = "tf-resnet_v2_152"
name = "resnet_v2_152"
onnx_name = os.path.j... | 509 | 24.5 | 101 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_resnet_v2_101.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
from _tools import generate_random_images, benchmark
def main(opset=13):
url = "https://tfhub.dev/google/imagenet/resnet_v2_101/feature_vector/5?tf-hub-format=compressed"
dest = "tf-resnet_v2_101"
name = "resnet_v2_101"
onnx_name = os.path.j... | 519 | 25 | 101 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_talkheads_ggelu_bert_en_large.py | # SPDX-License-Identifier: Apache-2.0
import os
from collections import OrderedDict
import numpy
import numpy.random as rnd
from _tools import generate_random_images, benchmark
def main(opset=13):
url = "https://tfhub.dev/tensorflow/talkheads_ggelu_bert_en_large/2?tf-hub-format=compressed"
dest = "tf-talkhead... | 979 | 36.692308 | 123 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_yamnet_tf.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
from _tools import generate_random_images, benchmark, benchmark_tflite
def main(opset=13):
url = "https://tfhub.dev/google/yamnet/1?tf-hub-format=compressed"
dest = "tf-yamnet-tf"
name = "yamnet"
onnx_name = os.path.join(dest, "%s-%d.onnx" %... | 702 | 28.291667 | 81 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_yamnet_tflite.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
from _tools import generate_random_images, benchmark_tflite
def main(opset=13):
url = "https://tfhub.dev/google/lite-model/yamnet/classification/tflite/1?lite-format=tflite"
dest = "tf-yamnet-tflite"
name = "yamnet"
onnx_name = os.path.join(... | 745 | 30.083333 | 97 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_mobile_food_segmenter_V1.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
from _tools import generate_random_images, benchmark
import tf2onnx
import onnxruntime as ort
def main(opset=13):
url = "https://tfhub.dev/google/seefood/segmenter/mobile_food_segmenter_V1/1?tf-hub-format=compressed"
dest = "tf-mobile_food_segmenter... | 1,400 | 30.840909 | 106 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_mobilenet_v3_small_075_224.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
from _tools import generate_random_images, benchmark
def main(opset=13):
url = "https://tfhub.dev/google/imagenet/mobilenet_v3_small_075_224/feature_vector/5?tf-hub-format=compressed"
dest = "tf-mobilenet-v3-small-075-224"
name = "mobilenet-v3-s... | 558 | 26.95 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_enformer.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
from numpy.testing import assert_almost_equal
from onnxruntime import InferenceSession
from _tools import generate_random_images, benchmark, measure_time
from tensorflow import convert_to_tensor
import tensorflow as tf
import tensorflow_hub as hub
import tf2o... | 1,952 | 31.016393 | 80 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_thunder.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
from _tools import generate_random_images, benchmark
def main(opset=13):
url = "https://tfhub.dev/google/movenet/singlepose/thunder/3?tf-hub-format=compressed"
dest = "tf-thunder"
name = "thunder"
onnx_name = os.path.join(dest, "%s-%d.onnx" ... | 548 | 25.142857 | 90 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_lambert_en_uncased_L-24_H-1024_A-16.py | # SPDX-License-Identifier: Apache-2.0
import os
from collections import OrderedDict
import numpy
import numpy.random as rnd
from _tools import generate_text_inputs, benchmark
def main(opset=13):
if False:
import tensorflow as tf
import tensorflow_text
import tensorflow_hub as hub
... | 1,706 | 39.642857 | 123 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_spam_detection.py | # SPDX-License-Identifier: Apache-2.0
import os
import random
import numpy
from _tools import generate_random_images, benchmark
def main(opset=13):
url = "https://tfhub.dev/tensorflow/tutorials/spam-detection/1?tf-hub-format=compressed"
dest = "tf-spam-detection"
name = "spam-detection"
onnx_name = os... | 520 | 23.809524 | 92 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_blazeposedetector.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
from _tools import generate_random_images, benchmark
def main(opset=13):
url = "https://tfhub.dev/mediapipe/tfjs-model/blazeposedetector/1/default/1?tfjs-format=compressed"
dest = "tf-blazeposedetector"
name = "blazeposedetector"
onnx_name =... | 529 | 25.5 | 103 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_resnet_v1_101_keras.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
import onnxruntime as ort
import tensorflow as tf
import tensorflow_hub as hub
import tf2onnx
from _tools import generate_random_images, check_discrepencies
imgs = generate_random_images(shape=(1, 224, 224, 3), scale=1.)
model = tf.keras.Sequential([
hu... | 1,201 | 29.820513 | 86 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_albert_en_xlarge.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
import numpy.random as rnd
from collections import OrderedDict
from _tools import generate_text_inputs, benchmark
def main(opset=13):
url = "https://tfhub.dev/tensorflow/albert_en_xlarge/3?tf-hub-format=compressed"
dest = "tf-albert-en-xlarge"
n... | 1,057 | 35.482759 | 123 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_yamnet_coral.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
from _tools import generate_random_images, benchmark_tflite
def main(opset=13):
url = "https://tfhub.dev/google/coral-model/yamnet/classification/coral/1?coral-format=tflite"
dest = "tf-yamnet-coral"
name = "yamnet"
onnx_name = os.path.join(... | 1,123 | 45.833333 | 166 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_resnet_v1_101.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
from _tools import generate_random_images, benchmark
def main(opset=13):
url = "https://tfhub.dev/google/imagenet/resnet_v1_101/feature_vector/5?tf-hub-format=compressed"
dest = "tf-resnet_v1_101"
name = "resnet_v1_101"
onnx_name = os.path.j... | 519 | 25 | 101 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_bert_en_wwm_uncased.py | # SPDX-License-Identifier: Apache-2.0
import os
from collections import OrderedDict
import numpy
import numpy.random as rnd
from _tools import generate_random_images, benchmark
def main(opset=13):
url = "https://tfhub.dev/tensorflow/bert_en_wwm_uncased_L-24_H-1024_A-16/4?tf-hub-format=compressed"
dest = "tf-b... | 997 | 37.384615 | 122 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_inception_v3.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
from _tools import generate_random_images, benchmark
def main(opset=13):
url = "https://tfhub.dev/google/inaturalist/inception_v3/feature_vector/5?tf-hub-format=compressed"
dest = "tf-inception_v3"
name = "inception_v3"
onnx_name = os.path.j... | 509 | 24.5 | 103 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_albert_en_xlarge_keras.py | # Adapted the sample code on https://tfhub.dev/tensorflow/albert_en_xlarge/3
import tensorflow_text as text
import tensorflow as tf
import tensorflow_hub as hub
# Using hub.load instead of KerasLayer lets us easily intercept the results of the
# preprocessor before passing it to the encoder
preprocessor = hub.load("ht... | 2,127 | 37.690909 | 98 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_resnet_v2_101_classification.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
from _tools import generate_random_images, benchmark
def main(opset=13):
url = "https://tfhub.dev/google/imagenet/resnet_v1_101/classification/5?tf-hub-format=compressed"
dest = "tf-resnet_v2_101_classification"
name = "resnet_v2_101_classificat... | 549 | 26.5 | 101 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_humpback_whale.py | # SPDX-License-Identifier: Apache-2.0
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
import pickle
import numpy
from onnxruntime import InferenceSession
from _tools import generate_random_images, benchmark, measure_time
import tensorflow as tf
import tensorflow_hub as hub
def main(opset=13):
url = "https://t... | 2,230 | 40.314815 | 87 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_nasnet_large.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
from _tools import generate_random_images, benchmark
def main(opset=13):
url = "https://tfhub.dev/google/imagenet/nasnet_large/feature_vector/5?tf-hub-format=compressed"
dest = "tf-nasnet-large"
name = "nasnet-large"
onnx_name = os.path.join... | 506 | 24.35 | 100 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_mobilenet_v3_large_075_224.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
from _tools import generate_random_images, benchmark
def main(opset=13):
url = "https://tfhub.dev/google/imagenet/mobilenet_v3_large_075_224/classification/5?tf-hub-format=compressed"
dest = "tf-mobilenet-v3-large-075-224"
name = "mobilenet-v3-l... | 558 | 26.95 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_esrgan.py | # SPDX-License-Identifier: Apache-2.0
import os
import numpy
from _tools import generate_random_images, benchmark
def main(opset=13):
url = "https://tfhub.dev/captain-pool/esrgan-tf2/1?tf-hub-format=compressed"
dest = "tf-esrgan-tf2"
name = "esrgan-tf2"
onnx_name = os.path.join(dest, "%s-%d.onnx" % (n... | 460 | 22.05 | 80 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/_tools.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 zipfile
import subprocess
import datetime
from collections import OrderedDict
import numpy
from tqdm ... | 17,888 | 36.980892 | 110 | py |
tensorflow-onnx | tensorflow-onnx-main/tests/tfhub/tfhub_mobilebert_en_uncased.py | # SPDX-License-Identifier: Apache-2.0
import os
from collections import OrderedDict
import numpy
import numpy.random as rnd
from _tools import generate_text_inputs, benchmark
def main(opset=13):
if False:
import tensorflow as tf
import tensorflow_text
import tensorflow_hub as hub
... | 1,308 | 35.361111 | 118 | py |
open-prompts | open-prompts-main/update_presets.py | import glob
import json
presets = []
for preset_category_idx, preset_category_path in enumerate(
glob.glob('presets/*')):
preset_category_name = preset_category_path.split('/')[1]
preset_category_data = {
'idx': preset_category_idx,
'name': preset_category_name,
'subcategories'... | 1,436 | 33.214286 | 77 | py |
open-prompts | open-prompts-main/update_modifiers.py | import glob
import json
modifiers = []
for modifier_category_idx, modifier_category_path in enumerate(
glob.glob('modifiers/*')):
modifier_category_name = modifier_category_path.split('/')[1]
modifier_category_data = {
'id': modifier_category_idx,
'name': modifier_category_name,
... | 1,535 | 33.909091 | 79 | py |
MKIDPipeline | MKIDPipeline-master/setup.py | from __future__ import print_function
import setuptools
from setuptools.command.install import install
from setuptools.command.develop import develop
import subprocess
import numpy
from setuptools.extension import Extension
from Cython.Build import cythonize
#pip install -e git+http://github.com/mazinlab/mkidpipeline.... | 2,069 | 29.895522 | 99 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/definitions.py | import hashlib
import os
from collections import defaultdict
from datetime import datetime
from typing import Set
import ruamel.yaml
import astropy.units
import numpy as np
from astropy import units as u
from astropy.coordinates import SkyCoord
import mkidcore.config
import mkidcore.utils
import mkidpipeline.config as... | 68,731 | 41.115196 | 121 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/samples.py | import pkg_resources
from collections import defaultdict
import mkidpipeline.definitions as d
import mkidpipeline.config as config
_i = defaultdict(lambda: 0)
def _namer(name='Thing'):
ret = f"{name}{_i[name]}"
_i[name] = _i[name] + 1
return ret
SAMPLEDATA = {'default': (
d.MKIDObservation(name=_n... | 9,041 | 63.585714 | 116 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/jsondefs.py | MKIDReductionJobJSON = {
'frameid': 'a subaru frame id', # or None/null string
'data': [0, 0], # start and stop timestamps bracketing the relevant logging records
'kind': 'image', # 'image', 'dither', or 'wavecal'
'instrument_config': 'path_to_dashboard.yaml', #loadable with mkidcore.config.load
... | 773 | 47.375 | 104 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/photontable.py | import os
import time
import multiprocessing as mp
import functools
import numpy as np
from scipy.interpolate import InterpolatedUnivariateSpline
from ruamel.yaml.comments import CommentedSeq
import mkidcore.metadata
from mkidcore.binfile.mkidbin import PhotonCType, PhotonNumpyType
from mkidcore.corelog import getLogg... | 45,801 | 39.931189 | 120 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/config.py | import os
import multiprocessing as mp
import pathlib
from io import StringIO
import mkidcore.config
from mkidcore.corelog import getLogger
from mkidcore.objects import Beammap
from mkidcore.instruments import InstrumentInfo
from mkidcore.metadata import DEFAULT_CARDSET
# Ensure that the beammap gets registered with ... | 10,318 | 37.793233 | 118 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/__init__.py | 0 | 0 | 0 | py | |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/pipeline.py | from importlib import import_module
import pkgutil
import multiprocessing as mp
import functools
import mkidcore.config
from mkidcore.pixelflags import FlagSet, BEAMMAP_FLAGS
from mkidcore.config import getLogger
import mkidpipeline.config as config
import mkidpipeline.steps
PIPELINE_STEPS = {'attachmeta': None}
for... | 3,883 | 32.196581 | 117 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/tests/benchmark.py | import os
os.environ['NUMEXPR_MAX_THREADS'] = '32'
os.environ['NUMEXPR_NUM_THREADS'] = '16'
os.environ["TMPDIR"] = '/scratch/tmp/'
import tables.index
tables.index.profile = True
from photontable import Photontable
#@profile
def tsectest(f):
of = Photontable(f)
# p=LineProfiler(of.photonTable._where)
#... | 2,148 | 36.051724 | 125 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/tests/test_config.py | import mkidpipeline.definitions as definitions
import mkidpipeline.samples
import mkidpipeline.config as config
import mkidpipeline.pipeline as pipe
import mkidcore.corelog
import pkg_resources as pkg
mkidcore.corelog.getLogger('mkidcore', setup=True,
configfile=pkg.resource_filename('mkidpi... | 917 | 28.612903 | 101 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/tests/output_validation.py | import mkidpipeline.definitions as definitions
import mkidpipeline.config as config
from astropy.io import fits
import logging
import pkg_resources as pkg
import csv
import astropy.units as u
pipe_cfg ='/work/steiger/new_pipeline_testing/pipe.yaml'
out_cfg='/work/steiger/new_pipeline_testing/out.yaml'
data_cfg='/work/... | 4,689 | 35.356589 | 119 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/tests/test_metadata.py | from mkidpipeline.config import *
import mkidpipeline as pipe
from io import StringIO
df = '/scratch/baileyji/mec/data.yml'
pf = '/scratch/baileyji/mec/pipe.yml'
of = '/scratch/baileyji/mec/out.yml'
h5 = '/scratch/baileyji/mec/h5raw.h5'
pipe.logtoconsole()
df='/scratch/steiger/MEC/HD1160/data_HD1160.yml'
pcfg = pi... | 758 | 26.107143 | 65 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/tests/test_wavecal.py | #!/bin/env python3
import mkidpipeline.definitions as definitions
import mkidpipeline.config as config
import mkidpipeline.pipeline as pipe
import pkg_resources as pkg
import mkidcore.corelog
mkidcore.corelog.getLogger('mkidcore', setup=True,
configfile=pkg.resource_filename('mkidpipeline', ... | 913 | 40.545455 | 104 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/tests/h5speed.py | import os
#Dark has 16 cores, 2 threads/core
os.environ['NUMEXPR_MAX_THREADS'] = '64'
os.environ['NUMEXPR_NUM_THREADS'] = '16'
import numexpr
import numpy as np
import tables
import time, timeit, copy, pickle, hashlib, re, collections, ast
from pkg_resources import resource_filename
import matplotlib.pyplot as plt
impo... | 33,663 | 47.507205 | 267 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/steps/flatcal.py | import os
import multiprocessing as mp
import time
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import gridspec
from mpl_toolkits.axes_grid1 import make_axes_locatable
import mkidpipeline.definitions as definitions
from mkidpipeline.steps import wavecal
from mkidpipeline.photontable import Photon... | 32,890 | 48.834848 | 121 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/steps/speccal.py | """
The speccal takes in an MKID wavelength cube in arbitrary 'counts' units and converts it to a wavelength cube with the
same dimensions but in units of ergs/s/cm^2/angstroms.
The speccal first loads a standard spectrum which can be specified by a two column text file in the data.yaml, or it is
pulled directly from ... | 35,029 | 48.199438 | 142 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/steps/sample.py | import mkidpipeline.config
from mkidcore.pixelflags import FlagSet
class StepConfig(mkidpipeline.config.BaseStepConfig):
yaml_tag = u'!samplestep_cfg'
REQUIRED_KEYS = (('parameter1', 2, 'comment about parameter1, list allowed values here'),
('parameter2', 'string val', 'comment about para... | 1,978 | 42.021739 | 121 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/steps/drizzler.py | """
Classes
DrizzleParams : Calculates and stores the relevant info for Drizzler
Canvas : Called by the "Drizzler" classes. Generates the canvas that is drizzled onto
Drizzler : Generates a spatially dithered 4-cube (xytw)
DrizzledData : Saves the drizzled data as FITS
Functions
... | 38,371 | 51.492476 | 125 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/steps/wavecal.py | import os
import queue
import warnings
from logging import getLogger
import numpy as np
import multiprocessing as mp
import time
from distutils.spawn import find_executable
import progressbar as pb
import scipy
import astropy.constants
import matplotlib
from matplotlib import gridspec
from matplotlib.widgets import Bu... | 137,676 | 49.21043 | 123 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/steps/buildhdf.py | import os
import tables
import time
import numpy as np
import multiprocessing as mp
from mkidcore.corelog import getLogger
from mkidcore.config import yaml
import mkidcore.utils
from mkidcore.objects import Beammap
from mkidcore.instruments import InstrumentInfo
from mkidpipeline.photontable import Photontable
import... | 13,199 | 44.993031 | 127 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/steps/cosmiccal.py | """
Author: Clarissa Rizzo, Isabel Lipartito, Noah Swimmer
Cosmic Cleaner is a class that will find the cosmic correction and will create a file that
has the associated ObsFile name (beginning timestamp) as well as a list of the timestamps
to be removed plus some metadata, such as the cutout times before and after the ... | 11,793 | 49.836207 | 131 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/steps/lincal.py | """
To preserve the phase response of each pixel to an incident photon, a dead time is enforced on each pixel immediately
following a photon event. This prevents a subsequent photon from falling on the decay tail of the previous one, but also
causes a non-linear response at high count rates.
The lincal corrects for th... | 5,352 | 46.371681 | 120 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/steps/output.py | from importlib import import_module
import pkgutil
import multiprocessing as mp
import time
from collections import defaultdict
import functools
import os
import mkidpipeline.definitions as definitions
import mkidcore.pixelflags
from mkidcore.config import getLogger
import mkidpipeline.config as config
from mkidpipeli... | 3,721 | 42.788235 | 133 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/steps/pixcal.py | """
The pixcal applies the pixcal.hot, pixcal.cold and pixcal.dead flags to hot, cold, and dead pixels respectively so that
they can be removed from future calibration and analysis if desired. hot, cold, and dead pixels are defined differently
depending on the pixel calibration `method` specified in the pipe.yaml.
`th... | 20,329 | 48.828431 | 120 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/steps/wcscal.py | import mkidpipeline.config
import numpy as np
import matplotlib.pyplot as plt
from mkidpipeline.utils.smoothing import astropy_convolve
from mkidpipeline.utils.photometry import fit_sources
from astropy.coordinates import SkyCoord
import astropy.units as u
from mkidpipeline.photontable import Photontable
from mkidcore.... | 20,405 | 44.549107 | 120 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/steps/movies.py | import os
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as manimation
from astropy.wcs import WCS
import astropy.units as u
import skimage.restoration as restoration
from astropy.io import fits
from astropy.visualization import ImageNormalize, AsinhStretch, LinearStretch, \
LogStret... | 13,865 | 43.159236 | 121 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/utils/conex2pixels.py | #!/usr/bin/env python3
import os
import numpy as np
import skimage.transform as tf
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
from photutils import DAOStarFinder, centroids, centroid_2dg
from scipy.stats import chisquare
from astropy import stats
from mkidpipeline.definitions import MKIDD... | 4,290 | 45.139785 | 133 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/utils/wavecal_models.py | import os
import copy
import astropy
import warnings
import numpy as np
import lmfit as lm
from cycler import cycler
import scipy.optimize as opt
from scipy.signal import find_peaks
from inspect import signature
from matplotlib import pyplot as plt
from scipy.special import erfc, erfcx
import mkidcore.corelog as pipel... | 48,281 | 41.841171 | 122 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/utils/plotting.py | import numpy as np
import numpy.ma as ma
import matplotlib
import matplotlib.cbook as cbook
import matplotlib.pyplot as plt
from matplotlib.colors import Normalize
import matplotlib as mpl
"""
Plotting tools for quick array viewing
Adapted from tutorials from python4astronomers.
Credit to authors: Tom Aldcroft, Tom Rob... | 15,567 | 35.890995 | 156 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/utils/snr.py | from mkidpipeline.utils.photometry import *
import numpy as np
import matplotlib.pyplot as plt
def signal_to_noise(image, num_apertures, center, dist, pa, radius, save_path=None, aper_idx=None, trim=0):
"""
function to calculate the signal to noise of a target using aperture photometry. This code takes a seri... | 4,368 | 39.082569 | 118 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/utils/memory.py | import multiprocessing as mp
import os
import threading
from collections import defaultdict
from contextlib import AbstractContextManager
import psutil
import time
from logging import getLogger
allocated = mp.Value('d', 0.0)
CHECK_INTERVAL = .5
PIPELINE_MAX_RAM = min(192 * 1024**3, psutil.virtual_memory().total)
PIPE... | 6,832 | 36.338798 | 121 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/utils/pdfs.py | """
Author: Seth Meeker Date: Feb 11, 2017
Define some probability density functions for fitting speckle histograms
"""
import matplotlib.pyplot as plt
import numpy as np
from mpmath import hyp1f1
from scipy import special
from scipy.optimize.minpack import curve_fit
from scipy.special import factorial
from s... | 5,043 | 33.312925 | 110 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/utils/output_validation.py | import mkidpipeline.definitions as definitions
import mkidpipeline.config as config
from astropy.io import fits
from mkidcore.corelog import getLogger
import pkg_resources as pkg
import csv
def validate(outputs):
for o in outputs:
open_close(o)
fits_keys(o)
dimensions(o)
calibratio... | 3,556 | 31.336364 | 114 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/utils/resampling.py | import numpy as np
import scipy
def rebin_2d(a, ysize, xsize):
"""
Rebin an array to a SMALLER array. Rescales the values such that each element
in the output array is the mean of the elememts which it encloses in the input
array (i.e., not the total). Similar to the IDL rebin function.
Dimensions ... | 2,242 | 39.053571 | 135 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/utils/photometry.py | """
Author: Sarah Steiger Date: 11/24/2020
Photometry utility functions
"""
import numpy as np
from astropy.table import Table
from photutils.detection import IRAFStarFinder
from photutils.psf import IntegratedGaussianPRF, DAOGroup
from photutils.background import MMMBackground, MADStdBackgroundRMS
fro... | 17,829 | 47.583106 | 142 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/utils/fitting.py | import numpy as np
from scipy.optimize.minpack import curve_fit
import math
from mkidpipeline.utils.resampling import rebin_2d
def fit_blackbody(wvls, flux, fraction=1.0, new_wvls=None, temp_guess=8600):
"""
Seth 11/13/14
Simple blackbody fitting function that returns BB temperature and fluxes if requested... | 3,584 | 37.967391 | 117 | py |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/utils/__init__.py | 0 | 0 | 0 | py | |
MKIDPipeline | MKIDPipeline-master/mkidpipeline/utils/binparse.py | """
binparse.py
Author: Kristina Davis
Oct 2018
This code is somewhat based on darkBinViewer.py from Seth+group.
It is meant to be a sightweight module to parse individual or a series of .bin files and
construct imaging or spectral datacubes, where image cubes are sequenced in
time (pix value is total # counts per tim... | 10,454 | 38.011194 | 119 | py |
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