1 files changed, 44 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/conv_float_channels_weights_as_inputs.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/conv_float_channels_weights_as_inputs.mod.py
new file mode 100644
index 000000000..cc6bfcb9a
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/specs/V1_0/conv_float_channels_weights_as_inputs.mod.py
@@ -0,0 +1,44 @@
+#
+# 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()
+i1 = Input("op1", "TENSOR_FLOAT32", "{1, 1, 1, 3}")
+f1 = Input("op2", "TENSOR_FLOAT32", "{3, 1, 1, 3}")
+b1 = Input("op3", "TENSOR_FLOAT32", "{3}")
+pad0 = Int32Scalar("pad0", 0)
+act = Int32Scalar("act", 0)
+stride = Int32Scalar("stride", 1)
+# output dimension:
+#     (i1.height - f1.height + 1) x (i1.width - f1.width + 1)
+output = Output("op4", "TENSOR_FLOAT32", "{1, 1, 1, 3}")
+
+model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [99.0, 99.0, 99.0],
+          f1:
+          [1.0, 1.0, 1.0,
+           2.0, 2.0, 2.0,
+           3.0, 3.0, 3.0],
+          b1:
+          [0., 0., 0.]}
+
+output0 = {output: # output 0
+           [297., 594., 891.]}
+
+# Instantiate an example
+Example((input0, output0))