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9fe3856b
编写于
6月 16, 2020
作者:
W
wangnan39@huawei.com
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modify annotations for inputs of sparse adam
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f48ba776
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mindspore/ops/operations/nn_ops.py
mindspore/ops/operations/nn_ops.py
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mindspore/ops/operations/nn_ops.py
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@@ -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.
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@@ -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.
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