blob: e9e88bbd62e1a2e4ad6eb2969ba78008de066801 [file] [log] [blame]
model = Model()
i1 = Input("input", "TENSOR_QUANT8_ASYMM", "{1, 4, 2, 1}, 1.0, 0")
block = Parameter("block_size", "TENSOR_INT32", "{2}", [3, 2])
paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [1, 1, 2, 4])
output = Output("output", "TENSOR_QUANT8_ASYMM", "{6, 2, 4, 1}, 1.0, 0")
model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output)
# Example 1. Input in operand 0,
input0 = {i1: # input 0
[1, 2, 3, 4, 5, 6, 7, 8]}
output0 = {output: # output 0
[0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0,
0, 1, 0, 0, 0, 7, 0, 0, 0, 2, 0, 0, 0, 8, 0, 0,
0, 3, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0]}
# Instantiate an example
Example((input0, output0))