1# Copyright 2021 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 tf.Mean JIT compilation.""" 16 17import numpy as np 18 19from tensorflow.compiler.mlir.tfrt.jit.python_binding import tf_jitrt 20from tensorflow.python.platform import test 21 22jitrt = tf_jitrt.TfJitRtExecutor() 23 24 25class TfMeanTest(test.TestCase): 26 27 def test_mean_2d(self): 28 mlir_function = """ 29 func.func @mean(%arg0: tensor<?x?xf32>) -> tensor<?x1xf32> { 30 %dim = "tf.Const"() {value = dense<1> : tensor<1xi32>} 31 : () -> tensor<1xi32> 32 %0 = "tf.Mean"(%arg0, %dim) { keep_dims = true } 33 : (tensor<?x?xf32>, tensor<1xi32>) -> tensor<?x1xf32> 34 func.return %0 : tensor<?x1xf32> 35 }""" 36 compiled = jitrt.compile(mlir_function, 'mean') 37 arg0 = np.random.uniform(0.0, 1.0, size=(100, 200)).astype(np.float32) 38 [res] = jitrt.execute(compiled, [arg0]) 39 mean = np.mean(arg0, axis=1, keepdims=True) 40 np.testing.assert_allclose(res, mean, rtol=1e-05) 41 42 43if __name__ == '__main__': 44 np.random.seed(0) 45 test.main() 46