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# model
model = Model()
i0 = Input("op_shape", "TENSOR_INT32", "{4}")
weights = Input("ker", "TENSOR_INT32", "{1, 3, 3, 1}")
i1 = Input("in", "TENSOR_INT32", "{1, 2, 2, 1}" )
pad = Int32Scalar("pad_valid", 2)
s_x = Int32Scalar("stride_x", 2)
s_y = Int32Scalar("stride_y", 2)
i2 = Output("op", "TENSOR_INT32", "{1, 5, 5, 1}")
model = model.Operation("TRANSPOSE_CONV_EX", i0, weights, i1, pad, s_x, s_y).To(i2)
# Example 1. Input in operand 0,
input0 = {i0: # output shape
[1, 5, 5, 1],
i1: # input 0
[1, 2, 3, 4],
weights: # input 1
[1, 2, 3, 4, 5, 6, 7, 8, 9]}
output0 = {i2: # output 0
[1, 2, 5, 4, 6, 4, 5, 14, 10, 12, 10, 14, 36,
24, 30, 12, 15, 34, 20, 24, 21, 24, 55, 32, 36]}
# Instantiate an example
Example((input0, output0))
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