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(name, input0, input1, output0, input0_data, input1_data, output_data): 18 model = Model().Operation("MAXIMUM", input0, input1).To(output0) 19 20 quant8 = DataTypeConverter().Identify({ 21 input0: ["TENSOR_QUANT8_ASYMM", 0.5, 127], 22 input1: ["TENSOR_QUANT8_ASYMM", 1.0, 100], 23 output0: ["TENSOR_QUANT8_ASYMM", 2.0, 80], 24 }) 25 26 Example({ 27 input0: input0_data, 28 input1: input1_data, 29 output0: output_data, 30 }, model=model, name=name).AddVariations("relaxed", "float16", "int32", quant8) 31 32 33 test( 34 name="simple", 35 input0=Input("input0", "TENSOR_FLOAT32", "{3, 1, 2}"), 36 input1=Input("input1", "TENSOR_FLOAT32", "{3, 1, 2}"), 37 output0=Output("output0", "TENSOR_FLOAT32", "{3, 1, 2}"), 38 input0_data=[1.0, 0.0, -1.0, 11.0, -2.0, -1.44], 39 input1_data=[-1.0, 0.0, 1.0, 12.0, -3.0, -1.43], 40 output_data=[1.0, 0.0, 1.0, 12.0, -2.0, -1.43], 41 ) 42 43 test( 44 name="broadcast", 45 input0=Input("input0", "TENSOR_FLOAT32", "{3, 1, 2}"), 46 input1=Input("input1", "TENSOR_FLOAT32", "{2}"), 47 output0=Output("output0", "TENSOR_FLOAT32", "{3, 1, 2}"), 48 input0_data=[1.0, 0.0, -1.0, -2.0, -1.44, 11.0], 49 input1_data=[0.5, 2.0], 50 output_data=[1.0, 2.0, 0.5, 2.0, 0.5, 11.0], 51 ) 52 53 54 # Test overflow and underflow. 55 input0 = Input("input0", "TENSOR_QUANT8_ASYMM", "{2}, 1.0f, 128") 56 input1 = Input("input1", "TENSOR_QUANT8_ASYMM", "{2}, 1.0f, 128") 57 output0 = Output("output0", "TENSOR_QUANT8_ASYMM", "{2}, 0.5f, 128") 58 model = Model().Operation("MAXIMUM", input0, input1).To(output0) 59 60 Example({ 61 input0: [60, 128], 62 input1: [128, 200], 63 output0: [128, 255], 64 }, model=model, name="overflow") 65
