1 files changed, 36 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_quant8_large_weights_as_inputs.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_quant8_large_weights_as_inputs.mod.py
new file mode 100644
index 000000000..70ea52556
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/specs/V1_0/fully_connected_quant8_large_weights_as_inputs.mod.py
@@ -0,0 +1,36 @@
+#
+# 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()
+in0 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 5}, 0.2, 0") # batch = 1, input_size = 5
+weights = Input("op2", "TENSOR_QUANT8_ASYMM", "{1, 5}, 0.2, 0") # num_units = 1, input_size = 5
+bias = Input("b0", "TENSOR_INT32", "{1}, 0.04, 0")
+out0 = Output("op3", "TENSOR_QUANT8_ASYMM", "{1, 1}, 1.f, 0") # batch = 1, number_units = 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
+          [10, 10, 10, 10, 10],
+          weights:
+          [10, 20, 20, 20, 10],
+          bias:
+          [10]}
+output0 = {out0: # output 0
+           [32]}
+
+# Instantiate an example
+Example((input0, output0))