1 files changed, 39 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/logistic_float_2.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/logistic_float_2.mod.py
new file mode 100644
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+++ b/runtimes/tests/neural_networks_test/specs/V1_0/logistic_float_2.mod.py
@@ -0,0 +1,39 @@
+#
+# 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()
+
+d0 = 2
+d1 = 32
+d2 = 40
+d3 = 2
+
+i0 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3))
+
+output = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (d0, d1, d2, d3))
+
+model = model.Operation("LOGISTIC", i0).To(output)
+
+# Example 1. Input in operand 0,
+rng = d0 * d1 * d2 * d3
+input_values = (lambda r = rng: [x * (x % 2 - .5) * 2 % 512 for x in range(r)])()
+input0 = {i0: input_values}
+output_values = [1. / (1. + math.exp(-x)) for x in input_values]
+output0 = {output: output_values}
+
+# Instantiate an example
+Example((input0, output0))