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Diffstat (limited to 'tests/nnapi/specs/V1_2/reduce_sum_4D_float_reducing_HW_nnfw.mod.py')
-rwxr-xr-x | tests/nnapi/specs/V1_2/reduce_sum_4D_float_reducing_HW_nnfw.mod.py | 33 |
1 files changed, 33 insertions, 0 deletions
diff --git a/tests/nnapi/specs/V1_2/reduce_sum_4D_float_reducing_HW_nnfw.mod.py b/tests/nnapi/specs/V1_2/reduce_sum_4D_float_reducing_HW_nnfw.mod.py new file mode 100755 index 000000000..9f53d1061 --- /dev/null +++ b/tests/nnapi/specs/V1_2/reduce_sum_4D_float_reducing_HW_nnfw.mod.py @@ -0,0 +1,33 @@ +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 * depth)] +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 rowwise sum and colwise sum of input_table. + output_table[i * depth + l] += 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 this test's axis value are the same [1, 2]. +axis = Parameter("axis", "TENSOR_INT32", "{4}", [1, 2, -3, -2]) +keepDims = False +output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (batch, depth)) + +model = model.Operation("REDUCE_SUM", 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)) |