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author | Chunseok Lee <chunseok.lee@samsung.com> | 2019-01-08 17:36:34 +0900 |
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committer | Chunseok Lee <chunseok.lee@samsung.com> | 2019-01-08 17:36:34 +0900 |
commit | bd11b24234d7d43dfe05a81c520aa01ffad06e42 (patch) | |
tree | 57d0d4044977e4fa0e50cd9ba40b32006dff19eb /tests/nnapi/specs/V1_0/lsh_projection_2.mod.py | |
parent | 91f4ba45449f700a047a4aeea00b1a7c84e94c75 (diff) | |
download | nnfw-bd11b24234d7d43dfe05a81c520aa01ffad06e42.tar.gz nnfw-bd11b24234d7d43dfe05a81c520aa01ffad06e42.tar.bz2 nnfw-bd11b24234d7d43dfe05a81c520aa01ffad06e42.zip |
Imported Upstream version 0.3upstream/0.3
Diffstat (limited to 'tests/nnapi/specs/V1_0/lsh_projection_2.mod.py')
-rw-r--r-- | tests/nnapi/specs/V1_0/lsh_projection_2.mod.py | 41 |
1 files changed, 41 insertions, 0 deletions
diff --git a/tests/nnapi/specs/V1_0/lsh_projection_2.mod.py b/tests/nnapi/specs/V1_0/lsh_projection_2.mod.py new file mode 100644 index 000000000..a297db247 --- /dev/null +++ b/tests/nnapi/specs/V1_0/lsh_projection_2.mod.py @@ -0,0 +1,41 @@ +# +# Copyright (C) 2017 The Android Open Source Project +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +num_input = 3 +num_hash = 4 +num_bits = 2 + +model = Model() + +hhash = Parameter("hash", "TENSOR_FLOAT32", "{%d, %d}" % (num_hash, num_bits), + [0.123, 0.456, -0.321, -0.654, 1.234, 5.678, -4.321, -8.765]) +lookup = Input("lookup", "TENSOR_INT32", "{%d, %d}" % (num_input, num_bits)) +weight = Input("weight", "TENSOR_FLOAT32", "{%d}" % (num_input)) +type_param = Int32Scalar("type_param", 1) # SPARSE +output = Output("output", "TENSOR_INT32", "{%d}" % (num_hash)) +model = model.Operation("LSH_PROJECTION", hhash, lookup, weight, + type_param).To(output) + +# Omit weight, since this is a sparse projection, for which the optional weight +# input should be left unset. +input0 = { + lookup: [12345, 54321, 67890, 9876, -12345678, -87654321], + weight: [], +} + +output0 = {output: [1, 2, 2, 0]} + +Example((input0, output0)) |