1 files changed, 46 insertions, 0 deletions
diff --git a/tests/nnapi/specs/V1_0/depthwise_conv2d_float_large_2.mod.py b/tests/nnapi/specs/V1_0/depthwise_conv2d_float_large_2.mod.py
new file mode 100644
index 000000000..416279ab4
--- /dev/null
+++ b/tests/nnapi/specs/V1_0/depthwise_conv2d_float_large_2.mod.py
@@ -0,0 +1,46 @@
+#
+# 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, 2, 2, 4}") # depth_in = 4
+f1 = Parameter("op2", "TENSOR_FLOAT32", "{1, 2, 2, 4}", [.25, 0, 10, 100, .25, 1, 20, 100, .25, 0, 30, 100, .25, 1, 40, 100]) # depth_out = 4
+b1 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [600000, 700000, 800000, 900000]) # depth_out = 4
+pad0 = Int32Scalar("pad0", 0)
+act = Int32Scalar("act", 0)
+stride = Int32Scalar("stride", 1)
+cm = Int32Scalar("channelMultiplier", 1)
+output = Output("op4", "TENSOR_FLOAT32", "{1, 1, 1, 4}")
+
+model = model.Operation("DEPTHWISE_CONV_2D",
+                        i1, f1, b1,
+                        pad0, pad0, pad0, pad0,
+                        stride, stride,
+                        cm, act).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {
+    i1: [ # input 0
+     10, 21, 100, 0,
+     10, 22, 200, 0,
+     10, 23, 300, 0,
+     10, 24, 400, 0],
+  }
+# (i1 (conv) f1) + b1
+output0 = {output: # output 0
+           [600010, 700046, 830000, 900000]}
+
+# Instantiate an example
+Example((input0, output0))