forked from mindspore-Ecosystem/mindspore
fix bug for convert scripts
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cbfba95ad0
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@ -44,7 +44,7 @@ def load_weights(model_path, use_fp16_weight):
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param_name = msname
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if "down_sample_layer.0" in param_name:
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param_name = param_name.replace("down_sample_layer.0", "conv_down_sample")
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if "down_sample-layer.1" in param_name:
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if "down_sample_layer.1" in param_name:
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param_name = param_name.replace("down_sample_layer.1", "bn_down_sample")
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weights[param_name] = ms_ckpt[msname].data.asnumpy()
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if use_fp16_weight:
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@ -60,5 +60,5 @@ def load_weights(model_path, use_fp16_weight):
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return param_list
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if __name__ == "__main__":
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parameter_list = load_weights(args_opt.ckpt_file, use_fp16_weight=True)
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parameter_list = load_weights(args_opt.ckpt_file, use_fp16_weight=False)
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save_checkpoint(parameter_list, "resnet50_backbone.ckpt")
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@ -44,7 +44,7 @@ def load_weights(model_path, use_fp16_weight):
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param_name = msname
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if "down_sample_layer.0" in param_name:
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param_name = param_name.replace("down_sample_layer.0", "conv_down_sample")
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if "down_sample-layer.1" in param_name:
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if "down_sample_layer.1" in param_name:
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param_name = param_name.replace("down_sample_layer.1", "bn_down_sample")
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weights[param_name] = ms_ckpt[msname].data.asnumpy()
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if use_fp16_weight:
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