Function Differences with tf.compat.v1.train.cosine_decay

tf.compat.v1.train.cosine_decay(
    learning_rate,
    global_step,
    decay_steps,
    alpha=0.0,
    name=None
) -> Tensor

class mindspore.nn.CosineDecayLR(
    min_lr,
    max_lr,
    decay_steps
)(global_step) -> Tensor

# TensorFlow
import tensorflow as tf

tf.compat.v1.disable_eager_execution()
learning_rate = 0.01
global_steps = 2
decay_steps = 4
output = tf.compat.v1.train.cosine_decay(learning_rate, global_steps, decay_steps)
ss = tf.compat.v1.Session()
print(ss.run(output))
#0.009999999

# MindSpore
import mindspore
from mindspore import Tensor, nn

min_lr = 0.01
max_lr = 1
decay_steps = 4
global_steps = Tensor(2, mindspore.int32)
cosine_decay_lr = nn.CosineDecayLR(min_lr, max_lr, decay_steps)
output = cosine_decay_lr(global_steps)
print(output)
#0.0101