74 lines
2.2 KiB
Python
74 lines
2.2 KiB
Python
"""Python wrappers around TensorFlow ops.
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This file is MACHINE GENERATED! Do not edit.
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"""
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import collections
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from tensorflow.python import pywrap_tfe as pywrap_tfe
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from tensorflow.python.eager import context as _context
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from tensorflow.python.eager import core as _core
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from tensorflow.python.eager import execute as _execute
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from tensorflow.python.framework import dtypes as _dtypes
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from tensorflow.python.framework import op_def_registry as _op_def_registry
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from tensorflow.python.framework import ops as _ops
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from tensorflow.python.framework import op_def_library as _op_def_library
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from tensorflow.python.util.deprecation import deprecated_endpoints
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from tensorflow.python.util import dispatch as _dispatch
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from tensorflow.python.util.tf_export import tf_export
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from typing import TypeVar
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def fact(name=None):
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r"""Output a fact about factorials.
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Args:
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name: A name for the operation (optional).
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Returns:
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A `Tensor` of type `string`.
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"""
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_ctx = _context._context or _context.context()
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tld = _ctx._thread_local_data
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if tld.is_eager:
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try:
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_result = pywrap_tfe.TFE_Py_FastPathExecute(
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_ctx, "Fact", name)
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return _result
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except _core._NotOkStatusException as e:
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_ops.raise_from_not_ok_status(e, name)
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except _core._FallbackException:
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pass
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try:
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return fact_eager_fallback(
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name=name, ctx=_ctx)
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except _core._SymbolicException:
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pass # Add nodes to the TensorFlow graph.
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# Add nodes to the TensorFlow graph.
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_, _, _op, _outputs = _op_def_library._apply_op_helper(
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"Fact", name=name)
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_result = _outputs[:]
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if _execute.must_record_gradient():
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_attrs = ()
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_inputs_flat = _op.inputs
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_execute.record_gradient(
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"Fact", _inputs_flat, _attrs, _result)
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_result, = _result
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return _result
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Fact = tf_export("raw_ops.Fact")(_ops.to_raw_op(fact))
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def fact_eager_fallback(name, ctx):
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_inputs_flat = []
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_attrs = None
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_result = _execute.execute(b"Fact", 1, inputs=_inputs_flat, attrs=_attrs,
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ctx=ctx, name=name)
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if _execute.must_record_gradient():
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_execute.record_gradient(
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"Fact", _inputs_flat, _attrs, _result)
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_result, = _result
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return _result
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