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 17num_input = 3 18num_hash = 4 19num_bits = 2 20 21model = Model() 22 23hhash = Parameter("hash", "TENSOR_FLOAT32", "{%d, %d}" % (num_hash, num_bits), 24 [0.123, 0.456, -0.321, -0.654, 1.234, 5.678, -4.321, -8.765]) 25lookup = Input("lookup", "TENSOR_INT32", "{%d, %d}" % (num_input, num_bits)) 26weight = Input("weight", "TENSOR_FLOAT32", "{%d}" % (num_input)) 27type_param = Int32Scalar("type_param", 1) # SPARSE 28output = Output("output", "TENSOR_INT32", "{%d}" % (num_hash)) 29model = model.Operation("LSH_PROJECTION", hhash, lookup, weight, 30 type_param).To(output) 31model = model.RelaxedExecution(True) 32 33# Omit weight, since this is a sparse projection, for which the optional weight 34# input should be left unset. 35input0 = { 36 lookup: [12345, 54321, 67890, 9876, -12345678, -87654321], 37 weight: [], 38} 39 40output0 = {output: [1, 2, 2, 0]} 41 42Example((input0, output0)) 43