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/UnsortedSegmentProdOptions.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 UnsortedSegmentProdOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls... | 1,390 | 33.775 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/PadOptions.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 PadOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0)... | 1,278 | 30.975 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/RankOptions.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 RankOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0... | 1,285 | 31.15 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/PackOptions.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 PackOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0... | 2,238 | 35.112903 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/UnsortedSegmentSumOptions.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 UnsortedSegmentSumOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls,... | 1,383 | 33.6 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SparseToDenseOptions.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 SparseToDenseOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf,... | 1,918 | 36.627451 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SVDFOptions.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 SVDFOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0... | 2,977 | 39.794521 | 123 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/__init__.py | # SPDX-License-Identifier: Apache-2.0
| 39 | 12.333333 | 37 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ReverseV2Options.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 ReverseV2Options(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, off... | 1,320 | 32.025 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/Conv3DOptions.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 Conv3DOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset... | 5,468 | 41.726563 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/Model.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 Model(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0):
... | 10,602 | 39.469466 | 153 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/BatchToSpaceNDOptions.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 BatchToSpaceNDOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf... | 1,355 | 32.9 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SubGraph.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 SubGraph(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0):
... | 7,308 | 38.085561 | 138 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/LeakyReluOptions.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 LeakyReluOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, off... | 1,792 | 34.156863 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/StridedSliceOptions.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 StridedSliceOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, ... | 3,945 | 40.536842 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/FloorModOptions.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 FloorModOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offs... | 1,313 | 31.85 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/CustomOptionsFormat.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
class CustomOptionsFormat(object):
FLEXBUFFERS = 0
| 186 | 17.7 | 68 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/FullyConnectedOptions.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 FullyConnectedOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf... | 3,723 | 43.333333 | 123 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/UnpackOptions.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 UnpackOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset... | 2,188 | 34.306452 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/VariantSubType.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 VariantSubType(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offse... | 3,696 | 37.113402 | 128 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/L2NormOptions.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 L2NormOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset... | 1,917 | 36.607843 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/LessOptions.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 LessOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0... | 1,285 | 31.15 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/TopKV2Options.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 TopKV2Options(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset... | 1,299 | 31.5 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/CustomQuantization.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 CustomQuantization(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, o... | 2,828 | 36.72 | 129 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SplitVOptions.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 SplitVOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset... | 1,793 | 34.176471 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/TransposeConvOptions.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 TransposeConvOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf,... | 3,449 | 40.071429 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/DimensionMetadata.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 DimensionMetadata(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, of... | 4,751 | 41.428571 | 150 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/MulOptions.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 MulOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0)... | 1,890 | 36.078431 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/Operator.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 Operator(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0):
... | 11,202 | 41.759542 | 177 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/Int32Vector.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 Int32Vector(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0... | 2,737 | 35.506667 | 129 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/OneHotOptions.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 OneHotOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset... | 1,748 | 33.294118 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ShapeOptions.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 ShapeOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=... | 1,764 | 33.607843 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/EqualOptions.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 EqualOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=... | 1,292 | 31.325 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SquaredDifferenceOptions.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 SquaredDifferenceOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, ... | 1,376 | 33.425 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ResizeBilinearOptions.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 ResizeBilinearOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf... | 2,482 | 39.048387 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/ResizeNearestNeighborOptions.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 ResizeNearestNeighborOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(c... | 2,558 | 40.274194 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/UnsortedSegmentMinOptions.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 UnsortedSegmentMinOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls,... | 1,383 | 33.6 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/Metadata.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 Metadata(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0):
... | 2,190 | 34.33871 | 123 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/Pool2DOptions.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 Pool2DOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset... | 4,379 | 40.320755 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/FakeQuantOptions.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 FakeQuantOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, off... | 3,237 | 37.547619 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/CallOptions.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 CallOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=0... | 1,768 | 33.686275 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/BucketizeOptions.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 BucketizeOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, off... | 2,866 | 37.226667 | 141 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/SignatureDef.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 SignatureDef(object):
__slots__ = ['_tab']
@classmethod
def GetRootAs(cls, buf, offset=... | 5,070 | 38.617188 | 147 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite/Padding.py | # SPDX-License-Identifier: Apache-2.0
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
class Padding(object):
SAME = 0
VALID = 1
| 181 | 15.545455 | 68 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/late_rewriters/channel_order_rewriters.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.late_rewriters.channel_order_rewriters - contains rewriters for replacing ops with channel first/last versions
"""
from tf2onnx import utils, constants
# pylint: disable=invalid-name,unused-argument,missing-docstring, unused-variable
_CHANNELS_FIRST_OPS = [
"Av... | 2,828 | 30.433333 | 119 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/late_rewriters/__init__.py | # SPDX-License-Identifier: Apache-2.0
"""tf2onnx.late_rewriters module."""
from tf2onnx.late_rewriters.channel_order_rewriters import rewrite_channels_first, rewrite_channels_last
__all__ = [
"rewrite_channels_first",
"rewrite_channels_last",
]
| 257 | 20.5 | 104 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite_handlers/tfl_nn.py | # SPDX-License-Identifier: Apache-2.0
"""
tfl_nn
"""
from tf2onnx.handler import tfl_op
from tf2onnx.tflite_handlers.tfl_math import separate_fused_activation_function
# pylint: disable=unused-argument,missing-docstring,unused-variable,pointless-string-statement,invalid-name
@tfl_op(["TFL_TRANSPOSE_CONV"], tf_op... | 6,508 | 40.724359 | 117 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite_handlers/tfl_postprocess.py | # SPDX-License-Identifier: Apache-2.0
"""
tfl_postprocess
"""
import logging
import numpy as np
from onnx.onnx_pb import TensorProto
from tf2onnx.handler import tfl_op
from tf2onnx import utils
from tf2onnx.graph_builder import GraphBuilder
logger = logging.getLogger(__name__)
# pylint: disable=unused-argument,m... | 8,264 | 56.395833 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite_handlers/tfl_controlflow.py | # SPDX-License-Identifier: Apache-2.0
"""
tfl_controlflow
"""
import copy
import numpy as np
from onnx.onnx_pb import TensorProto
from tf2onnx.handler import tfl_op
from tf2onnx import utils
from tf2onnx.tf_loader import find_function
from tf2onnx.graph_builder import GraphBuilder
from tf2onnx.onnx_opset.controlflo... | 5,064 | 36.518519 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite_handlers/tfl_math.py | # SPDX-License-Identifier: Apache-2.0
"""
tfl_math
"""
import logging
import numpy as np
from onnx.onnx_pb import TensorProto
from tf2onnx.handler import tfl_op
from tf2onnx import utils
logger = logging.getLogger(__name__)
# pylint: disable=unused-argument,missing-docstring,unused-variable,pointless-string-state... | 11,984 | 42.423913 | 118 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite_handlers/__init__.py | # SPDX-License-Identifier: Apache-2.0
"""tf2onnx.tflite_handlers module"""
from . import (
tfl_math,
tfl_nn,
tfl_controlflow,
tfl_direct,
tfl_tensor,
tfl_postprocess,
)
| 195 | 14.076923 | 37 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite_handlers/tfl_tensor.py | # SPDX-License-Identifier: Apache-2.0
"""
tfl_tensor
"""
import logging
import numpy as np
from tf2onnx.handler import tfl_op
from tf2onnx import utils
logger = logging.getLogger(__name__)
# pylint: disable=unused-argument,missing-docstring,unused-variable,pointless-string-statement,invalid-name
@tfl_op(["TFL_C... | 2,972 | 29.336735 | 107 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/tflite_handlers/tfl_direct.py | # SPDX-License-Identifier: Apache-2.0
"""
tfl_direct
"""
from tf2onnx.handler import tfl_op
# pylint: disable=unused-argument,missing-docstring,unused-variable,pointless-string-statement,invalid-name
@tfl_op("TFL_ABS", tf_op="Abs")
@tfl_op("TFL_ADD_N", tf_op="AddN")
@tfl_op("TFL_ARG_MAX", tf_op="ArgMax")
@tfl_op... | 3,657 | 36.326531 | 107 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/custom_opsets/ms.py | # SPDX-License-Identifier: Apache-2.0
""" tf2onnx mapping functions for ms domain. """
import numpy as np
from onnx import onnx_pb
from onnx.onnx_pb import TensorProto
from tf2onnx import constants, utils
from tf2onnx.handler import tf_op
from tf2onnx.onnx_opset import controlflow
from tf2onnx.onnx_opset.nn import c... | 6,202 | 52.474138 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/custom_opsets/onnx_ml.py | # SPDX-License-Identifier: Apache-2.0
""" tf2onnx mapping functions for onnx ml domain. """
import logging
import numpy as np
from onnx import TensorProto
from onnx import numpy_helper
from tf2onnx import constants
from tf2onnx.handler import tf_op
from tf2onnx import utils
logger = logging.getLogger(__name__)
# py... | 4,761 | 42.688073 | 117 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/custom_opsets/string_ops.py | # SPDX-License-Identifier: Apache-2.0
""" tf2onnx mapping functions for string ops using contrib ops domain. """
import io
import json
import logging
import numpy as np
from onnx.numpy_helper import to_array
from onnx.onnx_pb import TensorProto
from onnx.helper import make_attribute
from tf2onnx import constants, hand... | 10,264 | 45.659091 | 117 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/custom_opsets/__init__.py | # SPDX-License-Identifier: Apache-2.0
""" custom tf2onnx mapping functions. """
from . import ms
from . import onnx_ml
from . import string_ops
| 146 | 17.375 | 41 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/optimizer/transpose_optimizer.py | # SPDX-License-Identifier: Apache-2.0
"""Transpose Optimizer."""
from collections import defaultdict
import numpy as np
import onnx
from tf2onnx.constants import NCHW_TO_NHWC, NHWC_TO_NCHW, NCDHW_TO_NDHWC, NDHWC_TO_NCDHW, TARGET_CHANNELS_LAST
from .. import utils
from .optimizer_base import GraphOptimizerBase
# p... | 47,506 | 45.897335 | 118 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/optimizer/const_dequantize_optimizer.py | # SPDX-License-Identifier: Apache-2.0
"""const dequantize Optimizer.
if a dequantize op's inputs are const we may be able to fold it through the next op
"""
from .optimizer_base import GraphOptimizerBase
from .const_fold_optimizer import ConstFoldOptimizer
# pylint: disable=logging-not-lazy,unused-argument,missi... | 4,580 | 39.539823 | 111 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/optimizer/global_pool_optimizer.py | # SPDX-License-Identifier: Apache-2.0
"""global pool optimizer
Replaces ReduceMean and ReduceMax patterns with GlobalAveragePool and GlobalMaxPool
"""
from onnx import TensorProto
from tf2onnx.graph_builder import GraphBuilder
from .optimizer_base import GraphOptimizerBase
# pylint: disable=logging-not-lazy,unus... | 2,349 | 37.52459 | 95 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/optimizer/reshape_optimizer.py | # SPDX-License-Identifier: Apache-2.0
"""reshape optimizer
Finds reshape ops with computed shapes and attempts to replace them with constant shapes.
Even if some of the dimensions are non-constant, they can often be replaced with -1 or 0.
Specifically, optimizes the pattern: node -> shape -> [computation] -... | 5,148 | 44.166667 | 118 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/optimizer/merge_duplicated_nodes_optimizer.py | # SPDX-License-Identifier: Apache-2.0
"""Merge Duplicated Nodes Optimizer.
Remove duplicate nodes except identity nodes which should be handled by identity optimizer.
for example, node a is input of node b and node c, and computation of node b, c are same such as "abs" op.
then b and c can be merged into one... | 4,973 | 40.107438 | 109 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/optimizer/identity_optimizer.py | # SPDX-License-Identifier: Apache-2.0
"""Identity Optimizer.
Remove useless Identity node in graphs including subgraphs, but does not hurt model output names.
"""
from .optimizer_base import GraphOptimizerBase
# pylint: disable=logging-not-lazy,unused-argument,missing-docstring,unused-variable,arguments-differ
... | 3,079 | 35.666667 | 101 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/optimizer/upsample_optimizer.py | # SPDX-License-Identifier: Apache-2.0
"""Resize Optimizer.
Replace resize operations with all ones in scale with Identity nodes
"""
import numpy as np
from .optimizer_base import GraphOptimizerBase
# pylint: disable=logging-not-lazy,unused-argument,missing-docstring,unused-variable,arguments-differ
class Upsa... | 1,893 | 35.423077 | 101 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/optimizer/q_dq_optimizer.py | # SPDX-License-Identifier: Apache-2.0
"""q dq optimizer
Pushes Quantize ops up and Dequantize ops down to maximize DQ -> op -> Q patterns for ORT
Does not work for per-channel quantization yet
"""
from .optimizer_base import GraphOptimizerBase
# pylint: disable=logging-not-lazy,unused-argument,missing-docstri... | 6,665 | 41.730769 | 113 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/optimizer/const_fold_optimizer.py | # SPDX-License-Identifier: Apache-2.0
"""const fold Optimizer.
if op's inputs are all const then do op computation when building the graph to improve performance
for example, input of transpose node is const then we can do transpose statically instead of at runtime
"""
import numpy as np
from .. import utils
f... | 7,771 | 37.098039 | 111 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/optimizer/back_to_back_optimizer.py | # SPDX-License-Identifier: Apache-2.0
"""Back_To_Back Optimizer.
Collapse consecutive nodes into 1 node if possible.
"""
import numpy as np
from tf2onnx.utils import ONNX_DTYPE_NAMES # lgtm[py/unsafe-cyclic-import]
from .optimizer_base import GraphOptimizerBase # lgtm[py/unsafe-cyclic-import]
# pylint: disable... | 10,687 | 38.439114 | 112 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/optimizer/optimizer_base.py | # SPDX-License-Identifier: Apache-2.0
"""Graph Optimizer Base"""
import copy
from .. import logging, utils
class GraphOptimizerBase(object):
"""optimizer graph to improve performance
"""
def __init__(self):
self._logger = logging.getLogger('.'.join(__name__.split('.')[:-1] + [self.__class__._... | 2,281 | 28.636364 | 112 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/optimizer/loop_optimizer.py | # SPDX-License-Identifier: Apache-2.0
"""Loop Optimizer.
some op in loop's body graph can be moved out of the loop
"""
from tf2onnx.utils import make_name, make_sure
from .optimizer_base import GraphOptimizerBase
# pylint: disable=logging-not-lazy,unused-argument,missing-docstring,unused-variable,arguments-diff... | 4,114 | 43.247312 | 116 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/optimizer/__init__.py | # SPDX-License-Identifier: Apache-2.0
"""tf2onnx.optimizer module"""
from collections import OrderedDict
import copy
from .const_fold_optimizer import ConstFoldOptimizer
from .einsum_optimizer import EinsumOptimizer
from .identity_optimizer import IdentityOptimizer
from .merge_duplicated_nodes_optimizer import Merge... | 3,417 | 38.744186 | 109 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/optimizer/einsum_optimizer.py | # SPDX-License-Identifier: Apache-2.0
"""Rewrites operator einsum into simple ONNX operators.
"""
import math
from itertools import permutations
import numpy as np
from onnx import helper, numpy_helper, TensorProto, AttributeProto
from .. import utils
from ..constants import OPSET_TO_IR_VERSION, PREFERRED_OPSET
from .... | 85,912 | 35.888364 | 95 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/onnx_opset/reduction.py | # SPDX-License-Identifier: Apache-2.0
"""
reduction
"""
import logging
import numpy as np
from onnx import onnx_pb, helper
from tf2onnx import utils
from tf2onnx.handler import tf_op
from tf2onnx.graph_builder import GraphBuilder
logger = logging.getLogger(__name__)
# pylint: disable=unused-argument,missing-doc... | 17,824 | 49.639205 | 119 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/onnx_opset/math.py | # SPDX-License-Identifier: Apache-2.0
"""
math
"""
import logging
import numpy as np
from onnx import onnx_pb
from tf2onnx import constants, utils
from tf2onnx.handler import tf_op
from tf2onnx.onnx_opset import common
from tf2onnx.graph_builder import GraphBuilder
logger = logging.getLogger(__name__)
# pylint:... | 49,158 | 45.158685 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/onnx_opset/misc.py | # SPDX-License-Identifier: Apache-2.0
"""
misc
"""
import logging
from tf2onnx.handler import tf_op
logger = logging.getLogger(__name__)
# pylint: disable=unused-argument,missing-docstring
@tf_op(["CheckNumerics", "StopGradient"])
class MoveToIdent:
@classmethod
def version_1(cls, ctx, node, **kwargs):
... | 1,087 | 23.177778 | 82 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/onnx_opset/signal.py | # SPDX-License-Identifier: Apache-2.0
"""
signal
"""
import logging
import numpy as np
from onnx import onnx_pb, helper
from onnx.numpy_helper import to_array
from tf2onnx import utils
from tf2onnx.handler import tf_op
from tf2onnx.graph_builder import GraphBuilder
logger = logging.getLogger(__name__)
# pylint: ... | 47,164 | 47.029532 | 117 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/onnx_opset/nn.py | # SPDX-License-Identifier: Apache-2.0
"""
nn
"""
import logging
import numpy as np
from onnx import onnx_pb, helper
from onnx.onnx_pb import TensorProto
from tf2onnx import constants, utils
from tf2onnx.graph_builder import GraphBuilder
from tf2onnx.handler import tf_op
from tf2onnx.onnx_opset import common, contro... | 112,073 | 52.598278 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/onnx_opset/common.py | # SPDX-License-Identifier: Apache-2.0
"""
common
"""
import logging
from tf2onnx import constants
logger = logging.getLogger(__name__)
# pylint: disable=unused-argument,missing-docstring
class BroadcastOp:
@classmethod
def version_1(cls, ctx, node, **kwargs):
"""Elementwise Ops with broadcast fl... | 2,487 | 36.69697 | 95 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/onnx_opset/controlflow.py | # SPDX-License-Identifier: Apache-2.0
"""
controlflow
"""
import copy
import logging
import numpy as np
from onnx import onnx_pb
from onnx.onnx_pb import TensorProto
from tf2onnx import utils
from tf2onnx.handler import tf_op
from tf2onnx.tf_loader import find_function
from tf2onnx.graph_builder import GraphBuilde... | 35,445 | 43.197007 | 119 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/onnx_opset/__init__.py | # SPDX-License-Identifier: Apache-2.0
"""tf2onnx.onnx_opset module"""
from . import (
common,
controlflow,
generator,
logical,
math,
misc,
nn,
quantize,
reduction,
rnn,
signal,
tensor,
traditionalml
)
| 255 | 11.8 | 37 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/onnx_opset/rnn.py | # SPDX-License-Identifier: Apache-2.0
"""
rnn
"""
import logging
import numpy as np
from tf2onnx import utils
from tf2onnx.handler import tf_op
from tf2onnx.graph_builder import GraphBuilder
logger = logging.getLogger(__name__)
# pylint: disable=unused-argument,missing-docstring
@tf_op("LSTMBlockCell")
class LST... | 11,785 | 44.330769 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/onnx_opset/generator.py | # SPDX-License-Identifier: Apache-2.0
"""
generator
"""
import logging
import numpy as np
from onnx import onnx_pb, numpy_helper, helper
from tf2onnx import utils
from tf2onnx.handler import tf_op
from tf2onnx.graph_builder import GraphBuilder
logger = logging.getLogger(__name__)
# pylint: disable=unused-argumen... | 12,828 | 43.237931 | 116 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/onnx_opset/quantize.py | # SPDX-License-Identifier: Apache-2.0
"""
tensor
"""
import logging
import numpy as np
from onnx.onnx_pb import TensorProto
from tf2onnx import utils
from tf2onnx.handler import tf_op
from tf2onnx.utils import make_sure
logger = logging.getLogger(__name__)
# pylint: disable=unused-argument,missing-docstring,unu... | 3,131 | 35.418605 | 107 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/onnx_opset/tensor.py | # SPDX-License-Identifier: Apache-2.0
"""
tensor
"""
import logging
import sys
import numpy as np
from onnx import onnx_pb, helper
from onnx.onnx_pb import TensorProto
from tf2onnx import constants, utils
from tf2onnx.graph_builder import GraphBuilder
from tf2onnx.handler import tf_op
from tf2onnx.onnx_opset impor... | 212,476 | 51.723821 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/onnx_opset/traditionalml.py | # SPDX-License-Identifier: Apache-2.0
"""
traditional ml
"""
import logging
logger = logging.getLogger(__name__)
| 117 | 9.727273 | 37 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/onnx_opset/logical.py | # SPDX-License-Identifier: Apache-2.0
"""
logical
"""
import logging
from onnx import TensorProto
from tf2onnx import utils
from tf2onnx.handler import tf_op
from tf2onnx.onnx_opset import common
logger = logging.getLogger(__name__)
# pylint: disable=unused-argument,missing-docstring
def _add_cast_to_inputs(gra... | 5,955 | 35.993789 | 161 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/rewriter/gru_tf2_rewriter.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.rewriter.gru_tf2_rewriter - Rewrites GRU pattern used by tf2.
"""
from tf2onnx.graph_matcher import GraphMatcher
from tf2onnx.rewriter.rnn_utils import make_grucell_pattern, keras_gru_pattern
from tf2onnx.tf_loader import find_function
from tf2onnx.rewriter.unit_rnn_... | 7,461 | 42.132948 | 103 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/rewriter/lstm_rewriter_base.py | # SPDX-License-Identifier: Apache-2.0
# Temporary base class exclusive for LSTMs for stacked LSTM layer support.
# Once GRU, BiLSTM, BiGRU re-writers will also be enhanced for stacked layer support
# this will be combined with unit rnn base class.
"""
tf2onnx.rewriter.lstm_rewriter_base
"""
import logging
from tf2... | 7,531 | 38.851852 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/rewriter/fused_op_rewriter.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.rewriter.fused_op_rewriter - rewrite tensorflow _Fused ops from grappler into other tf ops
"""
# pylint: disable=missing-docstring
def rewrite_fused_ops(g, ops):
for node in ops:
if node.type in ["_FusedConv2D", "_FusedMatMul", "_FusedDepthwiseConv2dNa... | 1,486 | 39.189189 | 98 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/rewriter/cond_rewriter.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.rewriter.cond_rewriter
"""
import logging
import traceback
from collections import OrderedDict
from enum import Enum
from tf2onnx import utils
logger = logging.getLogger(__name__)
# pylint: disable=missing-docstring,unused-argument,broad-except
class BranchType(... | 13,336 | 39.051051 | 118 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/rewriter/conv_dilations_rewriter.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.rewriter.conv_dilations_rewriter - Rewrites the patten used to represent dilations
pat = SpaceToBatchND->DepthwiseConv2dNative->BatchToSpaceND
"""
import numpy as np
from tf2onnx.graph_matcher import OpTypePattern, GraphMatcher
# pylint: disable=invalid-name,unused-... | 6,395 | 43.727273 | 115 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/rewriter/conv2d_with_add_rewriter.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.rewriter - rewrite tensorflow subgraph to onnx conv2d op with BiasAdd
"""
from tf2onnx import logging
from tf2onnx.graph_matcher import OpTypePattern, GraphMatcher
logger = logging.getLogger(__name__)
# pylint: disable=missing-docstring
def rewrite_biasadd_with_co... | 1,939 | 35.603774 | 100 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/rewriter/loop_rewriter_base.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.rewriter.loop_rewriter_base
"""
import logging
from collections import OrderedDict
from tf2onnx import utils
from tf2onnx.graph_matcher import OpTypePattern, GraphMatcher
from tf2onnx.utils import is_tf_loopcond_op, is_tf_tensor_array_op
from tf2onnx.utils import is_... | 22,856 | 44.98994 | 120 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/rewriter/gru_rewriter.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.rewriter.gru_rewriter
"""
import logging
import numpy as np
from tf2onnx import utils
from tf2onnx.graph_builder import GraphBuilder
from tf2onnx.rewriter.rnn_utils import RNNUnitType, get_weights_from_const_node
from tf2onnx.rewriter.unit_rnn_rewriter_base import U... | 12,892 | 45.713768 | 116 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/rewriter/ragged_variant_shape_rewriter.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.rewriter - RaggedTensorToVariant -> Shape pattern
"""
import numpy as np
from tf2onnx import utils
from tf2onnx.graph_matcher import OpTypePattern, GraphMatcher
# pylint: disable=missing-docstring
def rewrite_ragged_variant_shape(g, ops):
pattern1 = \
... | 1,386 | 33.675 | 100 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/rewriter/thresholded_relu_rewriter.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.rewriter - rewrite tensorflow subgraph to onnx ThresholdedRelu op
"""
from tf2onnx.graph_matcher import OpTypePattern, GraphMatcher
# pylint: disable=missing-docstring
def rewrite_thresholded_relu(g, ops):
if g.opset < 10:
return ops
pattern = \
... | 1,652 | 34.934783 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/rewriter/unit_rnn_rewriter_base.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.rewriter.unit_rnn_rewriter_base
"""
import logging
from tf2onnx.rewriter.loop_rewriter_base import LoopRewriterBase, Context
from tf2onnx.rewriter.rnn_utils import REWRITER_RESULT, get_pattern, \
get_rnn_scope_name, parse_rnn_loop, seq_len_pattern0, seq_len_patt... | 11,475 | 36.503268 | 114 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/rewriter/leakyrelu_rewriter.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.rewriter - rewrite tensorflow subgraph to onnx leakyrelu op
"""
from tf2onnx.graph_matcher import OpTypePattern, GraphMatcher
# pylint: disable=missing-docstring
def rewrite_leakyrelu(g, ops):
if g.opset < 6:
return ops
pattern = \
OpType... | 1,547 | 31.93617 | 119 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/rewriter/dropout_rewriter.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.rewriter - rewrite tensorflow subgraph to onnx dropout op
"""
import numpy as np
from tf2onnx import utils
from tf2onnx.graph_matcher import OpTypePattern, GraphMatcher
from tf2onnx import logging
logger = logging.getLogger(__name__)
# pylint: disable=missing-docs... | 4,194 | 39.336538 | 118 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/rewriter/eye_rewriter.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.rewriter.eye_rewriter - supports tf.eye
"""
from onnx import onnx_pb
from tf2onnx.graph_builder import GraphBuilder
from tf2onnx.graph_matcher import OpTypePattern, GraphMatcher
# pylint: disable=invalid-name,unused-argument,missing-docstring, unused-variable
def ... | 6,952 | 39.190751 | 116 | py |
tensorflow-onnx | tensorflow-onnx-main/tf2onnx/rewriter/rnn_utils.py | # SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.rewriter.rnn_utils - rnn support
"""
from collections import defaultdict
from enum import Enum
import logging
import numpy as np
from tf2onnx import utils
from tf2onnx.graph_builder import GraphBuilder
from tf2onnx.graph_matcher import OpTypePattern # pylint: disabl... | 26,847 | 35.929849 | 118 | py |
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