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# Copyright 2020 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.
# ==============================================================================
"""Tests lowering of tf.bitcast"""
from tensorflow.compiler.tests import xla_test
from tensorflow.python.eager import def_function
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.ops import random_ops
from tensorflow.python.ops import control_flow_ops
from tensorflow.python.ops import image_ops
from tensorflow.python.ops import io_ops
from tensorflow.python.platform import test
class CastOpsTest(xla_test.XLATestCase):
def testBitcastToLarger(self):
with ops.device('device:{}:0'.format(self.device)):
def f(x):
t = array_ops.bitcast(x, dtypes.float32)
return math_ops.reduce_sum(t, axis=1)
compiled_f = def_function.function(f, jit_compile=True)
x = random_ops.random_normal([10, 10, 2], dtype=dtypes.float16)
with ops.device(self.device):
out = f(x)
compiled_out = compiled_f(x)
self.assertAllClose(out, compiled_out)
# 10,10,2--(bitcast-convert)-->10,10--(reduce)-->10
self.assertEqual(out.shape[0], 10)
hlo = compiled_f.experimental_get_compiler_ir(x)(stage='hlo')
self.assertIn('f32[10,10]{1,0} bitcast-convert(f16[10,10,2]{2,1,0}', hlo)
def testBitcastToSmaller(self):
pass
if __name__ == '__main__':
ops.enable_eager_execution()
test.main()