53215ab702
This required the ternary if operator to be split in a separate implementation, but that better accounts for its different nature. This should also allow more consistent verification and error messages throughout. PiperOrigin-RevId: 312360755 Change-Id: I57989c6cd40a16653521e18ccf21f2b0e994bd96
51 lines
1.7 KiB
Python
51 lines
1.7 KiB
Python
# Copyright 2017 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.
|
|
# ==============================================================================
|
|
"""Converts the ternary conditional operator."""
|
|
|
|
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
|
|
import gast
|
|
|
|
from tensorflow.python.autograph.core import converter
|
|
from tensorflow.python.autograph.pyct import parser
|
|
from tensorflow.python.autograph.pyct import templates
|
|
|
|
|
|
class ConditionalExpressionTransformer(converter.Base):
|
|
"""Converts conditional expressions to functional form."""
|
|
|
|
def visit_IfExp(self, node):
|
|
template = '''
|
|
ag__.if_exp(
|
|
test,
|
|
lambda: true_expr,
|
|
lambda: false_expr,
|
|
expr_repr)
|
|
'''
|
|
expr_repr = parser.unparse(node.test, include_encoding_marker=False).strip()
|
|
return templates.replace_as_expression(
|
|
template,
|
|
test=node.test,
|
|
true_expr=node.body,
|
|
false_expr=node.orelse,
|
|
expr_repr=gast.Constant(expr_repr, kind=None))
|
|
|
|
|
|
def transform(node, ctx):
|
|
node = ConditionalExpressionTransformer(ctx).visit(node)
|
|
return node
|