1b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# 2b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# Copyright (C) 2018 The Android Open Source Project 3b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# 4b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# Licensed under the Apache License, Version 2.0 (the "License"); 5b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# you may not use this file except in compliance with the License. 6b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# You may obtain a copy of the License at 7b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# 8b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# http://www.apache.org/licenses/LICENSE-2.0 9b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# 10b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# Unless required by applicable law or agreed to in writing, software 11b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# distributed under the License is distributed on an "AS IS" BASIS, 12b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# See the License for the specific language governing permissions and 14b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# limitations under the License. 15b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang# 16b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang 17b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangnum_input = 3 18b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangnum_hash = 4 19b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangnum_bits = 2 20b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang 21b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangmodel = Model() 22b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang 23b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wanghhash = Input("hash", "TENSOR_FLOAT32", "{%d, %d}" % (num_hash, num_bits)) 24b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wanglookup = Input("lookup", "TENSOR_INT32", "{%d, %d}" % (num_input, num_bits)) 25b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangweight = Input("weight", "TENSOR_FLOAT32", "{%d}" % (num_input)) 26e538bb0f9db55531dbc018c6b81ff1d6e4fbd8acMichael Butlertype_param = Int32Scalar("type_param", 2) # DENSE 27b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangoutput = Output("output", "TENSOR_INT32", "{%d}" % (num_hash * num_bits)) 28b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangmodel = model.Operation("LSH_PROJECTION", hhash, lookup, weight, type_param).To(output) 29b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangmodel = model.RelaxedExecution(True) 30b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang 31b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wanginput0 = {lookup: [12345, 54321, 67890, 9876, -12345678, -87654321], 32b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang hhash: [0.123, 0.456, -0.321, -0.654, 1.234, 5.678, -4.321, -8.765], 33b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang weight: [0.12, 0.34, 0.56], 34b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang } 35b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang 36b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wangoutput0 = {output: [1, 1, 1, 0, 1, 1, 1, 0]} 37b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang 38b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao WangExample((input0, output0)) 39b74d2837ab1687c1a4f913aa5f90a9838efe0addMiao Wang 40