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author | Lev Proleev <levp@google.com> | 2019-12-09 18:05:55 +0000 |
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committer | Lev Proleev <levp@google.com> | 2019-12-12 16:48:50 +0000 |
commit | 23776d527595aa7766dad98398506dafd31daf5b (patch) | |
tree | 3cdcfda67f82fbfe00dd48d8db8af70c9c56c59f /nn/runtime/test/specs/V1_3/embedding_lookup_v1_3.mod.py | |
parent | caece5b0ff8f86196d1817b9e4dc670eb5a0cc7e (diff) | |
download | ml-23776d527595aa7766dad98398506dafd31daf5b.tar.gz |
Add TENSOR_QUANT8_ASYMM_SIGNED support for EMBEDDING_LOOKUP
Fix: 143934742
Test: quantization coupling tests in CTS and VTS
Change-Id: I3be053e26686d5cd4a497a4e3390d746aedba758
Diffstat (limited to 'nn/runtime/test/specs/V1_3/embedding_lookup_v1_3.mod.py')
-rw-r--r-- | nn/runtime/test/specs/V1_3/embedding_lookup_v1_3.mod.py | 47 |
1 files changed, 47 insertions, 0 deletions
diff --git a/nn/runtime/test/specs/V1_3/embedding_lookup_v1_3.mod.py b/nn/runtime/test/specs/V1_3/embedding_lookup_v1_3.mod.py new file mode 100644 index 000000000..967e0841c --- /dev/null +++ b/nn/runtime/test/specs/V1_3/embedding_lookup_v1_3.mod.py @@ -0,0 +1,47 @@ +# +# Copyright (C) 2019 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. +# + +lookups = 3 +rows = 3 +columns = 2 +features = 4 + +actual_values = [x for x in range(rows * columns * features)] +for i in range(rows): + for j in range(columns): + for k in range(features): + actual_values[(i * columns + j) * features + k] = i + j / 10. + k / 100. + +model = Model() +index = Input("index", "TENSOR_INT32", "{%d}" % lookups) +value = Input("value", "TENSOR_FLOAT32", + "{%d, %d, %d}" % (rows, columns, features)) +output = Output("output", "TENSOR_FLOAT32", + "{%d, %d, %d}" % (lookups, columns, features)) +model = model.Operation("EMBEDDING_LOOKUP", index, value).To(output) + +input0 = {index: [1, 0, 2], value: actual_values} + +output0 = { + output: [ + 1.00, 1.01, 1.02, 1.03, 1.10, 1.11, 1.12, 1.13, # Row 1 + 0.00, 0.01, 0.02, 0.03, 0.10, 0.11, 0.12, 0.13, # Row 0 + 2.00, 2.01, 2.02, 2.03, 2.10, 2.11, 2.12, 2.13, # Row 2 + ] +} + +# Not including default because it is tested in 1.0 spec +Example((input0, output0)).AddVariations("float16", includeDefault=False) |