1 files changed, 39 insertions, 0 deletions
diff --git a/tests/nnapi/specs/V1_1/mean_4D_float_reducing_C_nnfw.mod.py b/tests/nnapi/specs/V1_1/mean_4D_float_reducing_C_nnfw.mod.py
new file mode 100644
index 000000000..37bc383d8
--- /dev/null
+++ b/tests/nnapi/specs/V1_1/mean_4D_float_reducing_C_nnfw.mod.py
@@ -0,0 +1,39 @@
+batch = 2
+rows = 3
+cols = 4
+depth = 5
+
+input_table = [x for x in range(batch * rows * cols * depth)]
+for i in range(batch):
+  for j in range(rows):
+    for k in range(cols):
+      for l in range(depth):
+        input_table[i * rows * cols * depth + j * cols * depth + k * depth + l] = i * rows * cols * depth + j * cols * depth + k * depth + l;
+
+output_table = [0 for x in range(batch * rows * cols)]
+for i in range(batch):
+  for j in range(rows):
+    for k in range(cols):
+      for l in range(depth):
+        output_table[i * rows * cols + j * cols + k] += input_table[i * rows * cols * depth + j * cols * depth + k * depth + l];
+
+for i in range(batch * rows * cols):
+  output_table[i] /= float(depth);
+
+model = Model()
+i1 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (batch, rows, cols, depth))
+axis = Parameter("axis", "TENSOR_INT32", "{2}", [3, -1])
+keepDims = Int32Scalar("keepDims", 0)
+output = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d}" % (batch, rows, cols))
+
+model = model.Operation("MEAN", i1, axis, keepDims).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          input_table}
+
+output0 = {output: # output 0
+          output_table}
+
+# Instantiate an example
+Example((input0, output0))