blob: 653caacf1bb2050a1e1223105e97bb31df85d55f [file] [log] [blame]
model = Model()
i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 2}, 0.5f, 0")
f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 2}, 0.5f, 0")
b1 = Input("op3", "TENSOR_INT32", "{2}, 0.25f, 0")
pad0 = Int32Scalar("pad0", 0)
act = Int32Scalar("act", 0)
stride = Int32Scalar("stride", 1)
cm = Int32Scalar("channelMultiplier", 1)
output = Output("op4", "TENSOR_QUANT8_ASYMM", "{2}, 1.f, 0")
model = model.Operation("DEPTHWISE_CONV_2D",
i1, f1, b1,
pad0, pad0, pad0, pad0,
stride, stride,
cm, act).To(output)
# Example 1. Input in operand 0,
input0 = {i1: # input 0
[4, 16, 4, 32, 4, 64, 4, 128],
f1:
[2, 4, 2, 0, 2, 2, 2, 0],
b1:
[0, 0]}
# (i1 (depthconv) f1)
output0 = {output: # output 0
[8, 48]}
# Instantiate an example
Example((input0, output0))