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author | Chunseok Lee <chunseok.lee@samsung.com> | 2020-12-14 14:43:04 +0900 |
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committer | Chunseok Lee <chunseok.lee@samsung.com> | 2020-12-14 14:43:04 +0900 |
commit | 12d88feea8573f8490629cf62fc342b152e57d65 (patch) | |
tree | 3c734cc4d629834d2d523f4575ef84cd64684e57 /tests/nnapi/specs/skip/V1_2/lsh_projection_4_relaxed.mod.py | |
parent | d6b371e095d737922187a518b8faba1ef6f3a2b1 (diff) | |
download | nnfw-12d88feea8573f8490629cf62fc342b152e57d65.tar.gz nnfw-12d88feea8573f8490629cf62fc342b152e57d65.tar.bz2 nnfw-12d88feea8573f8490629cf62fc342b152e57d65.zip |
Imported Upstream version 1.11.0upstream/1.11.0
Diffstat (limited to 'tests/nnapi/specs/skip/V1_2/lsh_projection_4_relaxed.mod.py')
-rw-r--r-- | tests/nnapi/specs/skip/V1_2/lsh_projection_4_relaxed.mod.py | 42 |
1 files changed, 42 insertions, 0 deletions
diff --git a/tests/nnapi/specs/skip/V1_2/lsh_projection_4_relaxed.mod.py b/tests/nnapi/specs/skip/V1_2/lsh_projection_4_relaxed.mod.py new file mode 100644 index 000000000..2b3b33a1e --- /dev/null +++ b/tests/nnapi/specs/skip/V1_2/lsh_projection_4_relaxed.mod.py @@ -0,0 +1,42 @@ +# +# Copyright (C) 2018 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 DEPRECATED +output = Output("output", "TENSOR_INT32", "{%d}" % (num_hash)) +model = model.Operation("LSH_PROJECTION", hhash, lookup, weight, + type_param).To(output) +model = model.RelaxedExecution(True) + +# 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)) |