summaryrefslogtreecommitdiff
path: root/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_3.mod.py
diff options
context:
space:
mode:
Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_3.mod.py')
-rw-r--r--runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_3.mod.py32
1 files changed, 32 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_3.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_3.mod.py
new file mode 100644
index 000000000..804f81266
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_float_3.mod.py
@@ -0,0 +1,32 @@
+#
+# 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.
+#
+
+model = Model()
+in0 = Input("op1", "TENSOR_FLOAT32", "{2, 2}")
+weights = Parameter("op2", "TENSOR_FLOAT32", "{1, 2}", [2, 4])
+bias = Parameter("b0", "TENSOR_FLOAT32", "{1}", [1])
+out0 = Output("op3", "TENSOR_FLOAT32", "{2, 1}")
+act = Int32Scalar("act", 0)
+model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
+
+# Example 1. Input in operand 0,
+input0 = {in0: # input 0
+ [1, 2, 2, 1]}
+output0 = {out0: # output 0
+ [11, 9]}
+
+# Instantiate an example
+Example((input0, output0))