summaryrefslogtreecommitdiff
path: root/runtimes/tests/neural_networks_test/specs/V1_0/concat_float_1.mod.py
diff options
context:
space:
mode:
Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_0/concat_float_1.mod.py')
-rw-r--r--runtimes/tests/neural_networks_test/specs/V1_0/concat_float_1.mod.py31
1 files changed, 0 insertions, 31 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/concat_float_1.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/concat_float_1.mod.py
deleted file mode 100644
index 4f3350c5d..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_0/concat_float_1.mod.py
+++ /dev/null
@@ -1,31 +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.
-#
-
-# model
-model = Model()
-i1 = Input("op1", "TENSOR_FLOAT32", "{2, 3}") # input tensor 0
-i2 = Input("op2", "TENSOR_FLOAT32", "{2, 3}") # input tensor 1
-axis0 = Int32Scalar("axis0", 0)
-r = Output("result", "TENSOR_FLOAT32", "{4, 3}") # output
-model = model.Operation("CONCATENATION", i1, i2, axis0).To(r)
-
-# Example 1.
-input0 = {i1: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0],
- i2: [7.0, 8.0, 9.0, 10.0, 11.0, 12.0]}
-output0 = {r: [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0]}
-
-# Instantiate an example
-Example((input0, output0))