From 0cb19e5cad3b1ecefb52f05e5b7c6b28a2e07528 Mon Sep 17 00:00:00 2001 From: lvmingfu Date: Fri, 9 Jul 2021 17:53:57 +0800 Subject: [PATCH] fix the error links for r1.3 --- mindspore/context.py | 2 +- mindspore/dataset/engine/cache_client.py | 3 +-- mindspore/ops/operations/nn_ops.py | 2 +- 3 files changed, 3 insertions(+), 4 deletions(-) diff --git a/mindspore/context.py b/mindspore/context.py index 3af9b5f90a7..f60da0708d3 100644 --- a/mindspore/context.py +++ b/mindspore/context.py @@ -643,7 +643,7 @@ def set_context(**kwargs): a file by default, and turns off printing to the screen. If the file already exists, add a timestamp suffix to the file. Default: ''. enable_sparse (bool): Whether to enable sparsity feature. Default: False. - For details of sparsity and sparse tensor, please check ``_. + For details of sparsity and sparse tensor, please check ``_. max_call_depth (int): Specify the maximum depth of function call. Must be positive integer. Default: 1000. env_config_path (str): Config path for DFX. auto_tune_mode (str): The mode of auto tune when op building, get the best tiling performance, diff --git a/mindspore/dataset/engine/cache_client.py b/mindspore/dataset/engine/cache_client.py index c7ba0b0bea5..f9e99ba5eb4 100644 --- a/mindspore/dataset/engine/cache_client.py +++ b/mindspore/dataset/engine/cache_client.py @@ -26,8 +26,7 @@ class DatasetCache: """ A client to interface with tensor caching service. - For details, please check `Tutorial `_, `Programming guide `_. + For details, please check `Programming guide `_. Args: session_id (int): A user assigned session id for the current pipeline. diff --git a/mindspore/ops/operations/nn_ops.py b/mindspore/ops/operations/nn_ops.py index 05d4577d8ec..445a0cb7b99 100755 --- a/mindspore/ops/operations/nn_ops.py +++ b/mindspore/ops/operations/nn_ops.py @@ -3718,7 +3718,7 @@ class LSTM(PrimitiveWithInfer): Performs the Long Short-Term Memory (LSTM) on the input. For detailed information, please refer to `nn.LSTM - `_. + `_. Args: input_size (int): Number of features of input.