_base_ = ['./classification_dynamic.py', '../_base_/backends/tensorrt.py']
onnx_config = dict(input_shape=[224, 224])
backend_config = dict(
common_config=dict(max_workspace_size=1 << 30),
model_inputs=[
dict(
input_shapes=dict(
input=dict(
min_shape=[1, 3, 224, 224],
opt_shape=[4, 3, 224, 224],
max_shape=[8, 3, 224, 224])))
])