| import mxnet as mx |
| |
| data_shape = (1,3,5,5) |
| class SimpleData(object): |
| |
| def __init__(self, data): |
| self.data = data |
| |
| data = mx.sym.Variable('data') |
| conv = mx.sym.Convolution(data=data, kernel=(3,3), pad=(1,1), stride=(1,1), num_filter=1) |
| mon = mx.mon.Monitor(1) |
| |
| |
| mod = mx.mod.Module(conv) |
| mod.bind(data_shapes=[('data', data_shape)]) |
| mod._exec_group.install_monitor(mon) |
| mod.init_params() |
| |
| input_data = mx.nd.ones(data_shape) |
| mod.forward(data_batch=SimpleData([input_data])) |
| res = mod.get_outputs()[0].asnumpy() |
| print(res) |
