diff options
Diffstat (limited to 'tests/nnapi/specs/skip/V1_1/embedding_lookup_relaxed.mod.py')
-rw-r--r-- | tests/nnapi/specs/skip/V1_1/embedding_lookup_relaxed.mod.py | 46 |
1 files changed, 46 insertions, 0 deletions
diff --git a/tests/nnapi/specs/skip/V1_1/embedding_lookup_relaxed.mod.py b/tests/nnapi/specs/skip/V1_1/embedding_lookup_relaxed.mod.py new file mode 100644 index 000000000..cfb4333dc --- /dev/null +++ b/tests/nnapi/specs/skip/V1_1/embedding_lookup_relaxed.mod.py @@ -0,0 +1,46 @@ +# +# 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. +# + +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) +model = model.RelaxedExecution(True) + +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 + ]} + +# Instantiate an example +Example((input0, output0)) |