1 # 2 # Copyright (C) 2018 The Android Open Source Project 3 # 4 # Licensed under the Apache License, Version 2.0 (the "License"); 5 # you may not use this file except in compliance with the License. 6 # You may obtain a copy of the License at 7 # 8 # http://www.apache.org/licenses/LICENSE-2.0 9 # 10 # Unless required by applicable law or agreed to in writing, software 11 # distributed under the License is distributed on an "AS IS" BASIS, 12 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 # See the License for the specific language governing permissions and 14 # limitations under the License. 15 # 16 17 def test(input0, output0, axes, keep_dims, input_data, output_data): 18 model = Model().Operation("REDUCE_PROD", input0, axes, keep_dims).To(output0) 19 Example({ 20 input0: input_data, 21 output0: output_data, 22 }, model=model).AddVariations("relaxed", "float16") 23 24 test( 25 input0=Input("input0", "TENSOR_FLOAT32", "{3, 2}"), 26 input_data=[-1, -2, 27 3, 4, 28 5, -6], 29 axes=[-1], 30 keep_dims=False, 31 output0=Output("output0", "TENSOR_FLOAT32", "{3}"), 32 output_data=[-1 * -2, 3 * 4, 5 * -6], 33 ) 34 35 # Tests below were adapted from tensorflow/lite/kernels/reduce_test.cc 36 37 test( 38 input0=Input("input0", "TENSOR_FLOAT32", "{1}"), 39 input_data=[9.527], 40 axes=[0], 41 keep_dims=True, 42 output0=Output("output0", "TENSOR_FLOAT32", "{1}"), 43 output_data=[9.527], 44 ) 45 46 test( 47 input0=Input("input0", "TENSOR_FLOAT32", "{4, 3, 2}"), 48 input_data=[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 49 9.0, 1.00, 1.10, 1.20, 1.30, 1.40, 1.50, 1.60, 50 1.70, 1.80, 1.90, 2.00, 2.10, 2.20, 2.30, 2.40], 51 axes=[1, 0, -3, -3], 52 keep_dims=False, 53 output0=Output("output0", "TENSOR_FLOAT32", "{2}"), 54 output_data=[3.16234143225e+4, 1.9619905536e+4], 55 ) 56 57 test( 58 input0=Input("input0", "TENSOR_FLOAT32", "{4, 3, 2}"), 59 input_data=[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 60 9.0, 1.00, 1.10, 1.20, 1.30, 1.40, 1.50, 1.60, 61 1.70, 1.80, 1.90, 2.00, 2.10, 2.20, 2.30, 2.40], 62 axes=[0, 2], 63 keep_dims=True, 64 output0=Output("output0", "TENSOR_FLOAT32", "{1, 3, 1}"), 65 output_data=[7.74592e+2, 1.197504e+3, 6.6889152e+2], 66 ) 67
