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-rw-r--r--runtimes/tests/neural_networks_test/specs/V1_0/embedding_lookup.mod.py45
1 files changed, 0 insertions, 45 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/embedding_lookup.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/embedding_lookup.mod.py
deleted file mode 100644
index a012c7fbf..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_0/embedding_lookup.mod.py
+++ /dev/null
@@ -1,45 +0,0 @@
-#
-# 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.
-#
-
-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
- ]}
-
-# Instantiate an example
-Example((input0, output0))