1# Copyright 2020 The TensorFlow Authors. All Rights Reserved. 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14# ============================================================================== 15"""Tests for Grappler Arithmetic Optimizer.""" 16 17from __future__ import absolute_import 18from __future__ import division 19from __future__ import print_function 20 21from tensorflow.python.eager import context 22from tensorflow.python.eager import def_function 23from tensorflow.python.ops import array_ops 24from tensorflow.python.ops import math_ops 25from tensorflow.python.platform import test 26 27 28class ArithmeticOptimizerTest(test.TestCase): 29 30 # See b/146524878. 31 def testFunctionArgShapeInference(self): 32 33 @def_function.function 34 def f(x, y): 35 return math_ops.matmul( 36 x, array_ops.reshape(array_ops.transpose(y), [384, 1536])) 37 38 with context.eager_mode(): 39 x = array_ops.ones((1, 384)) 40 y = array_ops.ones((1536, 384)) 41 with context.collect_graphs(optimized=True) as graphs: 42 f(x, y).numpy() 43 self.assertLen(graphs, 1) 44 self.assertLen(graphs[0].node, 4) 45 self.assertEqual(graphs[0].node[2].name, 46 'ArithmeticOptimizer/FoldTransposeIntoMatMul_MatMul') 47 48 49if __name__ == '__main__': 50 test.main() 51