import mindspore.common.dtype as mstype from mindspore.nn.learning_rate_schedule import CosineDecayLR cosd = CosineDecayLR(0.0, 0.00015, 87360) print(cosd(87360)) Describe the expected behavior / 预期结果 (Mandatory / 必填) """Tensor(shape=[], dtype=Float32, value=-3.21865e-10)""" ...
step_size(int):每经过step_size 个epoch,做一次学习率decay gamma(float):学习率衰减的乘法因子。Default:0.1 last_epoch(int):最后一个epoch的index。Default:0.1 verbose(bool):如果为True,每一次更新都会打印一个标准的输出信息 ,Default:False lr_list = [] model = net() LR = 0.01 optimizer = Adam...