ModelScope如何修改batch_size？

要修改ModelScope的batch_size，可以在创建ModelScope实例时设置batch_size参数。例如：

from mindspore import Model, context
from mindspore.train.callback import ModelCheckpoint, CheckpointConfig
from mindspore.nn.metrics import Accuracy
from mindspore.common.initializer import TruncatedNormal
from mindspore.ops import operations as P
import mindspore.dataset as ds
import mindspore.dataset.text as text
import numpy as np

context.set_context(mode=context.GRAPH_MODE, device_target="CPU")

# 定义模型
class Net(Model):
    def __init__(self):
        super(Net, self).__init__()
        self.fc = P.Dense(10, weight_init=TruncatedNormal(std=0.02))
        self.softmax = P.Softmax()

    def construct(self, x):
        x = self.fc(x)
        x = self.softmax(x)
        return x

# 创建ModelScope实例并设置batch_size
batch_size = 32
model_scope = ModelScope(net, dataset, batch_size=batch_size)

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