test result

[orydatadudes]

when i run test.py i got the following results

i also got wearning when tried to load the model utils-> load_network
load with strict = True didn't succeed :
Error(s) in loading state_dict for DynaSTGenerator:
Missing key(s) in state_dict: "transformer_4.2.f.weight", "transformer_4.2.f.bias", "transformer_4.2.g.weight", "transformer_4.2.g.bias", "transformer_4.2.h.weight", "transformer_4.2.h.bias", "transformer_4.2.f_prune.weight", "transformer_4.2.f_prune.bias", "transformer_4.2.g_prune.weight", "transformer_4.2.g_prune.bias", "transformer_4.2.spade.mlp_shared.0.weight", "transformer_4.2.spade.mlp_shared.0.bias", "transformer_4.2.spade.mlp_gamma.weight", "transformer_4.2.spade.mlp_gamma.bias", "transformer_4.2.spade.mlp_beta.weight", "transformer_4.2.spade.mlp_beta.bias", "transformer_4.2.res_block.relu.weight", "transformer_4.2.res_block.model.0.weight", "transformer_4.2.res_block.model.0.bias", "transformer_4.2.res_block.model.1.weight", "transformer_4.2.res_block.model.1.bias", "transformer_4.2.res_block.model.1.running_mean", "transformer_4.2.res_block.model.1.running_var", "transformer_4.2.res_block.model.2.weight", "transformer_4.2.res_block.model.3.weight", "transformer_4.2.res_block.model.3.bias", "transformer_4.2.res_block.model.4.weight", "transformer_4.2.res_block.model.4.bias", "transformer_4.2.res_block.model.4.running_mean", "transformer_4.2.res_block.model.4.running_var", "transformer_3.2.f.weight", "transformer_3.2.f.bias", "transformer_3.2.g.weight", "transformer_3.2.g.bias", "transformer_3.2.h.weight", "transformer_3.2.h.bias", "transformer_3.2.f_prune.weight", "transformer_3.2.f_prune.bias", "transformer_3.2.g_prune.weight", "transformer_3.2.g_prune.bias", "transformer_3.2.spade.mlp_shared.0.weight", "transformer_3.2.spade.mlp_shared.0.bias", "transformer_3.2.spade.mlp_gamma.weight", "transformer_3.2.spade.mlp_gamma.bias", "transformer_3.2.spade.mlp_beta.weight", "transformer_3.2.spade.mlp_beta.bias", "transformer_3.2.res_block.relu.weight", "transformer_3.2.res_block.model.0.weight", "transformer_3.2.res_block.model.0.bias", "transformer_3.2.res_block.model.1.weight", "transformer_3.2.res_block.model.1.bias", "transformer_3.2.res_block.model.1.running_mean", "transformer_3.2.res_block.model.1.running_var", "transformer_3.2.res_block.model.2.weight", "transformer_3.2.res_block.model.3.weight", "transformer_3.2.res_block.model.3.bias", "transformer_3.2.res_block.model.4.weight", "transformer_3.2.res_block.model.4.bias", "transformer_3.2.res_block.model.4.running_mean", "transformer_3.2.res_block.model.4.running_var", "transformer_2.2.f.weight", "transformer_2.2.f.bias", "transformer_2.2.g.weight", "transformer_2.2.g.bias", "transformer_2.2.h.weight", "transformer_2.2.h.bias", "transformer_2.2.f_prune.weight", "transformer_2.2.f_prune.bias", "transformer_2.2.g_prune.weight", "transformer_2.2.g_prune.bias", "transformer_2.2.spade.mlp_shared.0.weight", "transformer_2.2.spade.mlp_shared.0.bias", "transformer_2.2.spade.mlp_gamma.weight", "transformer_2.2.spade.mlp_gamma.bias", "transformer_2.2.spade.mlp_beta.weight", "transformer_2.2.spade.mlp_beta.bias", "transformer_2.2.res_block.relu.weight", "transformer_2.2.res_block.model.0.weight", "transformer_2.2.res_block.model.0.bias", "transformer_2.2.res_block.model.1.weight", "transformer_2.2.res_block.model.1.bias", "transformer_2.2.res_block.model.1.running_mean", "transformer_2.2.res_block.model.1.running_var", "transformer_2.2.res_block.model.2.weight", "transformer_2.2.res_block.model.3.weight", "transformer_2.2.res_block.model.3.bias", "transformer_2.2.res_block.model.4.weight", "transformer_2.2.res_block.model.4.bias", "transformer_2.2.res_block.model.4.running_mean", "transformer_2.2.res_block.model.4.running_var", "transformer_1.2.f.weight", "transformer_1.2.f.bias", "transformer_1.2.g.weight", "transformer_1.2.g.bias", "transformer_1.2.h.weight", "transformer_1.2.h.bias", "transformer_1.2.f_prune.weight", "transformer_1.2.f_prune.bias", "transformer_1.2.g_prune.weight", "transformer_1.2.g_prune.bias", "transformer_1.2.spade.mlp_shared.0.weight", "transformer_1.2.spade.mlp_shared.0.bias", "transformer_1.2.spade.mlp_gamma.weight", "transformer_1.2.spade.mlp_gamma.bias", "transformer_1.2.spade.mlp_beta.weight", "transformer_1.2.spade.mlp_beta.bias", "transformer_1.2.res_block.relu.weight", "transformer_1.2.res_block.model.0.weight", "transformer_1.2.res_block.model.0.bias", "transformer_1.2.res_block.model.1.weight", "transformer_1.2.res_block.model.1.bias", "transformer_1.2.res_block.model.1.running_mean", "transformer_1.2.res_block.model.1.running_var", "transformer_1.2.res_block.model.2.weight", "transformer_1.2.res_block.model.3.weight", "transformer_1.2.res_block.model.3.bias", "transformer_1.2.res_block.model.4.weight", "transformer_1.2.res_block.model.4.bias", "transformer_1.2.res_block.model.4.running_mean", "transformer_1.2.res_block.model.4.running_var".
loaded with strict = False

what is the problem ?