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@ -1705,8 +1705,8 @@ class ApplyRMSProp(PrimitiveWithInfer):
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- **var** (Tensor) - Weights to be update.
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- **mean_square** (Tensor) - Mean square gradients, must have the same type as `var`.
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- **moment** (Tensor) - Delta of `var`, must have the same type as `var`.
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- **grad** (Tensor) - Gradients, must have the same type as `var`.
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- **learning_rate** (Union[Number, Tensor]) - Learning rate.
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- **grad** (Tensor) - Gradients, must have the same type as `var`.
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- **decay** (float) - Decay rate.
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- **momentum** (float) - Momentum.
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- **epsilon** (float) - Ridge term.
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