# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Constants for TFLite."""

from tensorflow.lite.toco import toco_flags_pb2 as _toco_flags_pb2
from tensorflow.python.framework import dtypes
from tensorflow.python.util.all_util import remove_undocumented
from tensorflow.python.util.tf_export import tf_export as _tf_export

FLOAT = dtypes.float32
FLOAT16 = dtypes.float16
INT32 = dtypes.int32
INT64 = dtypes.int64
STRING = dtypes.string
QUANTIZED_UINT8 = dtypes.uint8
INT8 = dtypes.int8
INT16 = dtypes.int16
COMPLEX64 = dtypes.complex64
TENSORFLOW_GRAPHDEF = _toco_flags_pb2.TENSORFLOW_GRAPHDEF
TFLITE = _toco_flags_pb2.TFLITE
GRAPHVIZ_DOT = _toco_flags_pb2.GRAPHVIZ_DOT

_tf_export(v1=["lite.constants.FLOAT"]).export_constant(__name__, "FLOAT")
_tf_export(v1=["lite.constants.FLOAT16"]).export_constant(__name__, "FLOAT16")
_tf_export(v1=["lite.constants.INT32"]).export_constant(__name__, "INT32")
_tf_export(v1=["lite.constants.INT64"]).export_constant(__name__, "INT64")
_tf_export(v1=["lite.constants.STRING"]).export_constant(__name__, "STRING")
_tf_export(v1=["lite.constants.QUANTIZED_UINT8"]).export_constant(
    __name__, "QUANTIZED_UINT8")
_tf_export(v1=["lite.constants.INT8"]).export_constant(__name__, "INT8")
_tf_export(v1=["lite.constants.INT16"]).export_constant(__name__, "INT16")
_tf_export(v1=["lite.constants.TFLITE"]).export_constant(__name__, "TFLITE")
_tf_export(v1=["lite.constants.GRAPHVIZ_DOT"]).export_constant(
    __name__, "GRAPHVIZ_DOT")

# Currently the default mode of operation is to shell to another python process
# to protect against crashes. However, it breaks some dependent targets because
# it forces us to depend on an external py_binary. The experimental API doesn't
# have that drawback.
EXPERIMENTAL_USE_TOCO_API_DIRECTLY = False


_allowed_symbols = [
    "FLOAT",
    "FLOAT16",
    "INT32",
    "INT64",
    "STRING",
    "QUANTIZED_UINT8",
    "INT8",
    "INT16",
    "COMPLEX64",
    "TENSORFLOW_GRAPHDEF",
    "TFLITE",
    "GRAPHVIZ_DOT",
    "EXPERIMENTAL_USE_TOCO_API_DIRECTLY",
]
remove_undocumented(__name__, _allowed_symbols)

5af3d0632368320c9a7a7e899cbc85c1febfcf37
<mask token>

<mask token>
_tf_export(v1=['lite.constants.FLOAT']).export_constant(__name__, 'FLOAT')
_tf_export(v1=['lite.constants.FLOAT16']).export_constant(__name__, 'FLOAT16')
_tf_export(v1=['lite.constants.INT32']).export_constant(__name__, 'INT32')
_tf_export(v1=['lite.constants.INT64']).export_constant(__name__, 'INT64')
_tf_export(v1=['lite.constants.STRING']).export_constant(__name__, 'STRING')
_tf_export(v1=['lite.constants.QUANTIZED_UINT8']).export_constant(__name__,
    'QUANTIZED_UINT8')
_tf_export(v1=['lite.constants.INT8']).export_constant(__name__, 'INT8')
_tf_export(v1=['lite.constants.INT16']).export_constant(__name__, 'INT16')
_tf_export(v1=['lite.constants.TFLITE']).export_constant(__name__, 'TFLITE')
_tf_export(v1=['lite.constants.GRAPHVIZ_DOT']).export_constant(__name__,
    'GRAPHVIZ_DOT')
<mask token>
remove_undocumented(__name__, _allowed_symbols)

<mask token>
FLOAT = dtypes.float32
FLOAT16 = dtypes.float16
INT32 = dtypes.int32
INT64 = dtypes.int64
STRING = dtypes.string
QUANTIZED_UINT8 = dtypes.uint8
INT8 = dtypes.int8
INT16 = dtypes.int16
COMPLEX64 = dtypes.complex64
TENSORFLOW_GRAPHDEF = _toco_flags_pb2.TENSORFLOW_GRAPHDEF
TFLITE = _toco_flags_pb2.TFLITE
GRAPHVIZ_DOT = _toco_flags_pb2.GRAPHVIZ_DOT
_tf_export(v1=['lite.constants.FLOAT']).export_constant(__name__, 'FLOAT')
_tf_export(v1=['lite.constants.FLOAT16']).export_constant(__name__, 'FLOAT16')
_tf_export(v1=['lite.constants.INT32']).export_constant(__name__, 'INT32')
_tf_export(v1=['lite.constants.INT64']).export_constant(__name__, 'INT64')
_tf_export(v1=['lite.constants.STRING']).export_constant(__name__, 'STRING')
_tf_export(v1=['lite.constants.QUANTIZED_UINT8']).export_constant(__name__,
    'QUANTIZED_UINT8')
_tf_export(v1=['lite.constants.INT8']).export_constant(__name__, 'INT8')
_tf_export(v1=['lite.constants.INT16']).export_constant(__name__, 'INT16')
_tf_export(v1=['lite.constants.TFLITE']).export_constant(__name__, 'TFLITE')
_tf_export(v1=['lite.constants.GRAPHVIZ_DOT']).export_constant(__name__,
    'GRAPHVIZ_DOT')
EXPERIMENTAL_USE_TOCO_API_DIRECTLY = False
_allowed_symbols = ['FLOAT', 'FLOAT16', 'INT32', 'INT64', 'STRING',
    'QUANTIZED_UINT8', 'INT8', 'INT16', 'COMPLEX64', 'TENSORFLOW_GRAPHDEF',
    'TFLITE', 'GRAPHVIZ_DOT', 'EXPERIMENTAL_USE_TOCO_API_DIRECTLY']
remove_undocumented(__name__, _allowed_symbols)

<mask token>
from tensorflow.lite.toco import toco_flags_pb2 as _toco_flags_pb2
from tensorflow.python.framework import dtypes
from tensorflow.python.util.all_util import remove_undocumented
from tensorflow.python.util.tf_export import tf_export as _tf_export
FLOAT = dtypes.float32
FLOAT16 = dtypes.float16
INT32 = dtypes.int32
INT64 = dtypes.int64
STRING = dtypes.string
QUANTIZED_UINT8 = dtypes.uint8
INT8 = dtypes.int8
INT16 = dtypes.int16
COMPLEX64 = dtypes.complex64
TENSORFLOW_GRAPHDEF = _toco_flags_pb2.TENSORFLOW_GRAPHDEF
TFLITE = _toco_flags_pb2.TFLITE
GRAPHVIZ_DOT = _toco_flags_pb2.GRAPHVIZ_DOT
_tf_export(v1=['lite.constants.FLOAT']).export_constant(__name__, 'FLOAT')
_tf_export(v1=['lite.constants.FLOAT16']).export_constant(__name__, 'FLOAT16')
_tf_export(v1=['lite.constants.INT32']).export_constant(__name__, 'INT32')
_tf_export(v1=['lite.constants.INT64']).export_constant(__name__, 'INT64')
_tf_export(v1=['lite.constants.STRING']).export_constant(__name__, 'STRING')
_tf_export(v1=['lite.constants.QUANTIZED_UINT8']).export_constant(__name__,
    'QUANTIZED_UINT8')
_tf_export(v1=['lite.constants.INT8']).export_constant(__name__, 'INT8')
_tf_export(v1=['lite.constants.INT16']).export_constant(__name__, 'INT16')
_tf_export(v1=['lite.constants.TFLITE']).export_constant(__name__, 'TFLITE')
_tf_export(v1=['lite.constants.GRAPHVIZ_DOT']).export_constant(__name__,
    'GRAPHVIZ_DOT')
EXPERIMENTAL_USE_TOCO_API_DIRECTLY = False
_allowed_symbols = ['FLOAT', 'FLOAT16', 'INT32', 'INT64', 'STRING',
    'QUANTIZED_UINT8', 'INT8', 'INT16', 'COMPLEX64', 'TENSORFLOW_GRAPHDEF',
    'TFLITE', 'GRAPHVIZ_DOT', 'EXPERIMENTAL_USE_TOCO_API_DIRECTLY']
remove_undocumented(__name__, _allowed_symbols)

# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Constants for TFLite."""

from tensorflow.lite.toco import toco_flags_pb2 as _toco_flags_pb2
from tensorflow.python.framework import dtypes
from tensorflow.python.util.all_util import remove_undocumented
from tensorflow.python.util.tf_export import tf_export as _tf_export

FLOAT = dtypes.float32
FLOAT16 = dtypes.float16
INT32 = dtypes.int32
INT64 = dtypes.int64
STRING = dtypes.string
QUANTIZED_UINT8 = dtypes.uint8
INT8 = dtypes.int8
INT16 = dtypes.int16
COMPLEX64 = dtypes.complex64
TENSORFLOW_GRAPHDEF = _toco_flags_pb2.TENSORFLOW_GRAPHDEF
TFLITE = _toco_flags_pb2.TFLITE
GRAPHVIZ_DOT = _toco_flags_pb2.GRAPHVIZ_DOT

_tf_export(v1=["lite.constants.FLOAT"]).export_constant(__name__, "FLOAT")
_tf_export(v1=["lite.constants.FLOAT16"]).export_constant(__name__, "FLOAT16")
_tf_export(v1=["lite.constants.INT32"]).export_constant(__name__, "INT32")
_tf_export(v1=["lite.constants.INT64"]).export_constant(__name__, "INT64")
_tf_export(v1=["lite.constants.STRING"]).export_constant(__name__, "STRING")
_tf_export(v1=["lite.constants.QUANTIZED_UINT8"]).export_constant(
    __name__, "QUANTIZED_UINT8")
_tf_export(v1=["lite.constants.INT8"]).export_constant(__name__, "INT8")
_tf_export(v1=["lite.constants.INT16"]).export_constant(__name__, "INT16")
_tf_export(v1=["lite.constants.TFLITE"]).export_constant(__name__, "TFLITE")
_tf_export(v1=["lite.constants.GRAPHVIZ_DOT"]).export_constant(
    __name__, "GRAPHVIZ_DOT")

# Currently the default mode of operation is to shell to another python process
# to protect against crashes. However, it breaks some dependent targets because
# it forces us to depend on an external py_binary. The experimental API doesn't
# have that drawback.
EXPERIMENTAL_USE_TOCO_API_DIRECTLY = False


_allowed_symbols = [
    "FLOAT",
    "FLOAT16",
    "INT32",
    "INT64",
    "STRING",
    "QUANTIZED_UINT8",
    "INT8",
    "INT16",
    "COMPLEX64",
    "TENSORFLOW_GRAPHDEF",
    "TFLITE",
    "GRAPHVIZ_DOT",
    "EXPERIMENTAL_USE_TOCO_API_DIRECTLY",
]
remove_undocumented(__name__, _allowed_symbols)
