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 17lookups = 3 18rows = 3 19columns = 2 20features = 4 21 22actual_values = [x for x in range(rows * columns * features)] 23for 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 28model = Model() 29index = Input("index", "TENSOR_INT32", "{%d}"%lookups) 30value = Input("value", "TENSOR_FLOAT32", "{%d, %d, %d}" % (rows, columns, features)) 31output = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d}" % (lookups, columns, features)) 32model = model.Operation("EMBEDDING_LOOKUP", index, value).To(output) 33 34input0 = {index: [1, 0, 2], 35 value: actual_values} 36 37output0 = {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 45Example((input0, output0)) 46