wehub-resource-sync
59 lines
2.1 KiB
Python
59 lines
2.1 KiB
Python
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Tests lowering of tf.bitcast"""
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from tensorflow.compiler.tests import xla_test
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from tensorflow.python.eager import def_function
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import ops
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from tensorflow.python.ops import array_ops
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from tensorflow.python.ops import math_ops
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from tensorflow.python.ops import random_ops
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from tensorflow.python.ops import control_flow_ops
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from tensorflow.python.ops import image_ops
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from tensorflow.python.ops import io_ops
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from tensorflow.python.platform import test
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class CastOpsTest(xla_test.XLATestCase):
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def testBitcastToLarger(self):
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with ops.device('device:{}:0'.format(self.device)):
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def f(x):
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t = array_ops.bitcast(x, dtypes.float32)
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return math_ops.reduce_sum(t, axis=1)
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compiled_f = def_function.function(f, jit_compile=True)
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x = random_ops.random_normal([10, 10, 2], dtype=dtypes.float16)
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with ops.device(self.device):
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out = f(x)
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compiled_out = compiled_f(x)
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self.assertAllClose(out, compiled_out)
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# 10,10,2--(bitcast-convert)-->10,10--(reduce)-->10
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self.assertEqual(out.shape[0], 10)
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hlo = compiled_f.experimental_get_compiler_ir(x)(stage='hlo')
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self.assertIn('f32[10,10]{1,0} bitcast-convert(f16[10,10,2]{2,1,0}', hlo)
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def testBitcastToSmaller(self):
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pass
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if __name__ == '__main__':
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ops.enable_eager_execution()
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test.main()
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