1 # 2 # Copyright (C) 2017 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 lookups = 3 18 rows = 3 19 columns = 2 20 features = 4 21 22 actual_values = [x for x in range(rows * columns * features)] 23 for i in range(rows): 24 for j in range(columns): 25 for k in range(features): 26 actual_values[(i * columns + j) * features + k] = i + j / 10. + k / 100. 27 28 model = Model() 29 index = Input("index", "TENSOR_INT32", "{%d}"%lookups) 30 value = Input("value", "TENSOR_FLOAT32", "{%d, %d, %d}" % (rows, columns, features)) 31 output = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d}" % (lookups, columns, features)) 32 model = model.Operation("EMBEDDING_LOOKUP", index, value).To(output) 33 34 input0 = {index: [1, 0, 2], 35 value: actual_values} 36 37 output0 = {output: 38 [ 39 1.00, 1.01, 1.02, 1.03, 1.10, 1.11, 1.12, 1.13, # Row 1 40 0.00, 0.01, 0.02, 0.03, 0.10, 0.11, 0.12, 0.13, # Row 0 41 2.00, 2.01, 2.02, 2.03, 2.10, 2.11, 2.12, 2.13, # Row 2 42 ]} 43 44 # Instantiate an example 45 Example((input0, output0)) 46
