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-rw-r--r--tests/nnapi/specs/Ex/reduce_sum_ex_4D_float_reducing_C.mod.py3
1 files changed, 2 insertions, 1 deletions
diff --git a/tests/nnapi/specs/Ex/reduce_sum_ex_4D_float_reducing_C.mod.py b/tests/nnapi/specs/Ex/reduce_sum_ex_4D_float_reducing_C.mod.py
index 4bfea0f97..5d751bd23 100644
--- a/tests/nnapi/specs/Ex/reduce_sum_ex_4D_float_reducing_C.mod.py
+++ b/tests/nnapi/specs/Ex/reduce_sum_ex_4D_float_reducing_C.mod.py
@@ -17,9 +17,10 @@ model = Model()
i1 = Input("input", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (batch, rows, cols, depth))
# Axis value should be in the range [-(rank), rank). And '-n' is the same axis with 'rank - n'. So '3' and '-1' are the same axis.
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("REDUCE_SUM_EX", i1, axis).To(output)
+model = model.Operation("REDUCE_SUM_EX", i1, axis, keepDims).To(output)
# Example 1. Input in operand 0,
input0 = {i1: # input 0