比较与tf.keras.initializers.TruncatedNormal 的功能差异

tf.keras.initializers.TruncatedNormal(
    mean=0.0, stddev=0.05, seed=None, dtype=tf.dtypes.float32
)

mindspore.common.initializer.TruncatedNormal(sigma=0.01)

import tensorflow as tf

init = tf.keras.initializers.TruncatedNormal()
x = init(shape=(1, 2))

with tf.Session() as sess:
    print(x.eval())

# out:
# [[-0.71518797 -0.6879003 ]]

import mindspore as ms
from mindspore.common.initializer import TruncatedNormal, initializer

x = initializer(TruncatedNormal(), shape=[1, 2], dtype=ms.float32)
print(x)

# out:
# [[0.01012452 0.00313655]]