1 files changed, 0 insertions, 33 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
deleted file mode 100644
index 5d751bd23..000000000
--- a/tests/nnapi/specs/Ex/reduce_sum_ex_4D_float_reducing_C.mod.py
+++ /dev/null
@@ -1,33 +0,0 @@
-batch = 2
-rows = 3
-cols = 4
-depth = 5
-
-input_table = [x for x in range(batch * rows * cols * depth)]
-
-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):
-        # The value of output_table is the depthwise sum of input_table.
-        output_table[i * rows * cols + j * cols + k] += input_table[i * rows * cols * depth + j * cols * depth + k * depth + l];
-
-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, 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))