提交 9fe3856b 编写于 作者: W wangnan39@huawei.com

modify annotations for inputs of sparse adam

上级 f48ba776
......@@ -2777,7 +2777,7 @@ class SparseApplyAdam(PrimitiveWithInfer):
- **m** (Parameter) - The 1st moment vector in the updating formula. Has the same type as `var`. With
float32 data type.
- **v** (Parameter) - The 2nd moment vector in the updating formula. Mean square gradients,
has the same type as `var`. With float32 data type.
has the same type as `var`. With float32 data type.
- **beta1_power** (Tensor) - :math:`beta_1^t` in the updating formula. With float32 data type.
- **beta2_power** (Tensor) - :math:`beta_2^t` in the updating formula. With float32 data type.
- **lr** (Tensor) - :math:`l` in the updating formula. With float32 data type.
......@@ -2911,7 +2911,7 @@ class SparseApplyLazyAdam(PrimitiveWithInfer):
- **m** (Parameter) - The 1st moment vector in the updating formula. Has the same type as `var`. With
float32 data type.
- **v** (Parameter) - The 2nd moment vector in the updating formula. Mean square gradients,
has the same type as `var`. With float32 data type.
has the same type as `var`. With float32 data type.
- **beta1_power** (Tensor) - :math:`beta_1^t` in the updating formula. With float32 data type.
- **beta2_power** (Tensor) - :math:`beta_2^t` in the updating formula. With float32 data type.
- **lr** (Tensor) - :math:`l` in the updating formula. With float32 data type.
......
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册