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/tf2onnx/tflite/NotEqualOptions.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 NotEqualOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offs... | 1,313 | 31.85 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/HashtableOptions.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 HashtableOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, off... | 2,798 | 37.342466 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/LogSoftmaxOptions.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 LogSoftmaxOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, of... | 1,327 | 32.2 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SliceOptions.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 SliceOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=... | 1,292 | 31.325 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ArgMaxOptions.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 ArgMaxOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset... | 1,800 | 34.313725 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/TileOptions.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 TileOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0... | 1,285 | 31.15 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/UnidirectionalSequenceLSTMOptions.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 UnidirectionalSequenceLSTMOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRoo... | 5,062 | 46.764151 | 123 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SpaceToDepthOptions.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 SpaceToDepthOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, ... | 1,847 | 35.235294 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ExpOptions.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 ExpOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0)... | 1,278 | 30.975 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/PowOptions.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 PowOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0)... | 1,278 | 30.975 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SplitOptions.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 SplitOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=... | 1,784 | 34 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SparseIndexVector.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
class SparseIndexVector(object):
NONE = 0
Int32Vector = 1
Uint16Vector = 2
Uint8Vector = 3
| 238 | 17.384615 | 68 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ReshapeOptions.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 ReshapeOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offse... | 2,806 | 36.426667 | 135 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ReverseSequenceOptions.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 ReverseSequenceOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, bu... | 2,350 | 36.919355 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/BidirectionalSequenceRNNOptions.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 BidirectionalSequenceRNNOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootA... | 3,856 | 44.916667 | 123 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/Tensor.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 Tensor(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0):
... | 9,374 | 40.118421 | 153 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/AbsOptions.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 AbsOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0)... | 1,278 | 30.975 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/CosOptions.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 CosOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0)... | 1,278 | 30.975 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/RangeOptions.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 RangeOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=... | 1,292 | 31.325 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/BroadcastToOptions.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 BroadcastToOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, o... | 1,334 | 32.375 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ScatterNdOptions.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 ScatterNdOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, off... | 1,320 | 32.025 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/Rfft2dOptions.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 Rfft2dOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset... | 1,299 | 31.5 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SkipGramOptions.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 SkipGramOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offs... | 2,896 | 38.684932 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/AddOptions.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 AddOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0)... | 2,421 | 38.064516 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/MirrorPadMode.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
class MirrorPadMode(object):
REFLECT = 0
SYMMETRIC = 1
| 194 | 16.727273 | 68 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/NonMaxSuppressionV4Options.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 NonMaxSuppressionV4Options(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls... | 1,390 | 33.775 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/GreaterOptions.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 GreaterOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offse... | 1,306 | 31.675 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/BidirectionalSequenceLSTMOptions.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 BidirectionalSequenceLSTMOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRoot... | 4,934 | 45.556604 | 123 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ActivationFunctionType.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
class ActivationFunctionType(object):
NONE = 0
RELU = 1
RELU_N1_TO_1 = 2
RELU6 = 3
TANH = 4
SIGN_BIT = 5
| 260 | 16.4 | 68 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SubOptions.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 SubOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0)... | 2,421 | 38.064516 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ATan2Options.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 ATan2Options(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=... | 1,292 | 31.325 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SqueezeOptions.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 SqueezeOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offse... | 2,851 | 37.026667 | 144 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/GeluOptions.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 GeluOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0... | 1,801 | 34.333333 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ArgMinOptions.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 ArgMinOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset... | 1,800 | 34.313725 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/TensorType.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
class TensorType(object):
FLOAT32 = 0
FLOAT16 = 1
INT32 = 2
UINT8 = 3
INT64 = 4
STRING = 5
BOOL = 6
INT16 = 7
COMPLEX64 = 8
INT8 = 9
FLOAT64 = 10
... | 438 | 15.259259 | 68 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/Uint8Vector.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 Uint8Vector(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0... | 2,737 | 35.506667 | 129 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/UnsortedSegmentMaxOptions.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 UnsortedSegmentMaxOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls,... | 1,383 | 33.6 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/DequantizeOptions.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 DequantizeOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, of... | 1,327 | 32.2 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/AssignVariableOptions.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 AssignVariableOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf... | 1,355 | 32.9 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/LocalResponseNormalizationOptions.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 LocalResponseNormalizationOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRoo... | 3,447 | 40.047619 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/LSTMOptions.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 LSTMOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0... | 4,009 | 41.210526 | 123 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/IfOptions.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 IfOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0):... | 2,387 | 37.516129 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/HashtableImportOptions.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 HashtableImportOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, bu... | 1,362 | 33.075 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SparsityParameters.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 SparsityParameters(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, o... | 5,939 | 40.538462 | 153 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/CombinerType.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
class CombinerType(object):
SUM = 0
MEAN = 1
SQRTN = 2
| 198 | 15.583333 | 68 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SignOptions.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 SignOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0... | 1,285 | 31.15 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/NonMaxSuppressionV5Options.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 NonMaxSuppressionV5Options(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls... | 1,390 | 33.775 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SquareOptions.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 SquareOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset... | 1,299 | 31.5 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/MirrorPadOptions.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 MirrorPadOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, off... | 1,773 | 33.784314 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/TransposeOptions.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 TransposeOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, off... | 1,320 | 32.025 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/NegOptions.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 NegOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0)... | 1,278 | 30.975 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/MaximumMinimumOptions.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 MaximumMinimumOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf... | 1,355 | 32.9 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/RNNOptions.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 RNNOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0)... | 2,521 | 39.677419 | 123 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/CumsumOptions.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 CumsumOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset... | 2,285 | 35.870968 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/DensifyOptions.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 DensifyOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offse... | 1,306 | 31.675 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/HashtableSizeOptions.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 HashtableSizeOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf,... | 1,348 | 32.725 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/FloorDivOptions.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 FloorDivOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offs... | 1,313 | 31.85 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/DepthToSpaceOptions.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 DepthToSpaceOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, ... | 1,847 | 35.235294 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ReducerOptions.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 ReducerOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offse... | 1,801 | 34.333333 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/Uint16Vector.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 Uint16Vector(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=... | 2,752 | 35.706667 | 129 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/BatchMatMulOptions.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 BatchMatMulOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, o... | 2,915 | 38.945205 | 123 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/TensorMap.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 TensorMap(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0):... | 2,246 | 35.241935 | 123 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/VarHandleOptions.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 VarHandleOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, off... | 2,385 | 37.483871 | 141 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/LSTMKernelType.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
class LSTMKernelType(object):
FULL = 0
BASIC = 1
| 188 | 16.181818 | 68 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/EmbeddingLookupSparseOptions.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 EmbeddingLookupSparseOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(c... | 1,917 | 36.607843 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ConcatenationOptions.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 ConcatenationOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf,... | 2,443 | 38.419355 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/FullyConnectedOptionsWeightsFormat.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
class FullyConnectedOptionsWeightsFormat(object):
DEFAULT = 0
SHUFFLED4x16INT8 = 1
| 222 | 19.272727 | 68 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/BuiltinOperator.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
class BuiltinOperator(object):
ADD = 0
AVERAGE_POOL_2D = 1
CONCATENATION = 2
CONV_2D = 3
DEPTHWISE_CONV_2D = 4
DEPTH_TO_SPACE = 5
DEQUANTIZE = 6
EMBEDDING_LOO... | 3,390 | 19.184524 | 68 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/Buffer.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 Buffer(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0):
... | 2,642 | 34.24 | 128 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/HashtableFindOptions.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 HashtableFindOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf,... | 1,348 | 32.725 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/LogicalNotOptions.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 LogicalNotOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, of... | 1,327 | 32.2 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/QuantizationParameters.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 QuantizationParameters(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, bu... | 9,130 | 41.273148 | 138 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/CastOptions.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 CastOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0... | 2,288 | 35.919355 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/LSHProjectionOptions.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 LSHProjectionOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf,... | 1,809 | 34.490196 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ZerosLikeOptions.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 ZerosLikeOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, off... | 1,320 | 32.025 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SelectOptions.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 SelectOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset... | 1,299 | 31.5 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/OperatorCode.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 OperatorCode(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=... | 3,404 | 39.535714 | 141 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/AddNOptions.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 AddNOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0... | 1,285 | 31.15 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/LogicalAndOptions.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 LogicalAndOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, of... | 1,327 | 32.2 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/DimensionType.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
class DimensionType(object):
DENSE = 0
SPARSE_CSR = 1
| 193 | 16.636364 | 68 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/BuiltinOptions.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
class BuiltinOptions(object):
NONE = 0
Conv2DOptions = 1
DepthwiseConv2DOptions = 2
ConcatEmbeddingsOptions = 3
LSHProjectionOptions = 4
Pool2DOptions = 5
SVDFOpt... | 3,421 | 24.729323 | 68 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/LogicalOrOptions.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 LogicalOrOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, off... | 1,320 | 32.025 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/PadV2Options.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 PadV2Options(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=... | 1,292 | 31.325 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/FillOptions.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 FillOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0... | 1,285 | 31.15 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/WhereOptions.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 WhereOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=... | 1,292 | 31.325 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/WhileOptions.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 WhileOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=... | 2,420 | 38.048387 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/DynamicUpdateSliceOptions.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 DynamicUpdateSliceOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls,... | 1,383 | 33.6 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ReadVariableOptions.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 ReadVariableOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, ... | 1,341 | 32.55 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/LSHProjectionType.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
class LSHProjectionType(object):
UNKNOWN = 0
SPARSE = 1
DENSE = 2
| 209 | 16.5 | 68 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/LessEqualOptions.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 LessEqualOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, off... | 1,320 | 32.025 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/GatherNdOptions.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 GatherNdOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offs... | 1,313 | 31.85 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/QuantizeOptions.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 QuantizeOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offs... | 1,313 | 31.85 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SequenceRNNOptions.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 SequenceRNNOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, o... | 3,121 | 41.767123 | 123 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SegmentSumOptions.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 SegmentSumOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, of... | 1,327 | 32.2 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ExpandDimsOptions.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 ExpandDimsOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, of... | 1,327 | 32.2 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ConcatEmbeddingsOptions.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 ConcatEmbeddingsOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, b... | 5,399 | 43.628099 | 177 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/CallOnceOptions.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 CallOnceOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offs... | 1,883 | 35.941176 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/GreaterEqualOptions.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 GreaterEqualOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, ... | 1,341 | 32.55 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SoftmaxOptions.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 SoftmaxOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offse... | 1,765 | 33.627451 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/MatrixDiagOptions.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 MatrixDiagOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, of... | 1,327 | 32.2 | 114 | py |
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