[docs] Minor indentation fix

Minor indentation fix
Report from https://github.com/nnstreamer/nntrainer/pull/993#discussion_r594884810

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Signed-off-by: Parichay Kapoor <pk.kapoor@samsung.com>

diff --git a/docs/memory-management.md b/docs/memory-management.md
index d8f985a..19846bf 100644 (file)
--- a/docs/memory-management.md
+++ b/docs/memory-management.md
@@ -12,8 +12,7 @@ Memory management for a model consists of multiple parts including:
 
 The management for the above 3 kinds of memory is done depending on the mode of execution of the model, namely `inference` or `training` mode. The memory management of these tensors is performed by the `Manager` inside `NNTrainer`.
 
-The memory for the `weights` are allocated at the time of initializing the model, where the `weights` are either initialized using the provided initializer or loaded from the saved model file. The memory allocated for `weights` is freed
-upon `destruction` of the model object containing the `weights`.
+The memory for the `weights` are allocated at the time of initializing the model, where the `weights` are either initialized using the provided initializer or loaded from the saved model file. The memory allocated for `weights` is freed upon `destruction` of the model object containing the `weights`.
 
 The memory for the `Input, Output and Label` tensors and `Variables` is allocated lazily, and de-allocated once its usage is finished.