b7988369f77e12525604e2613b279c13f041f484,scripts/pose/simple_pose/validate.py,,,#,83

Before Change

    net.load_parameters(opt.params_file, ctx=context)
net.hybridize()

if opt.dsnt:
    heatmap_size = [int(i/4) for i in input_size]
    net_dsnt = DSNT(size=heatmap_size[::-1])
    net_dsnt.initialize(ctx=context)
    net_dsnt.hybridize()

def validate(val_data, val_dataset, net, ctx):
    if isinstance(ctx, mx.Context):
        ctx = [ctx]

After Change

    model_name = "deploy"
    net = mx.gluon.SymbolBlock.imports("{}-symbol.json".format(opt.model_prefix),
              ["data"], "{}-0000.params".format(opt.model_prefix))
    net.hybridize(static_alloc=True, static_shape=True)

print("Inference on model {} started!".format(model_name))

// calibration on FP32 model

Instances