From b3f64c8bf49e45d0d7fb2beacd96b95cc8e7990d Mon Sep 17 00:00:00 2001 From: Samuel Marks <807580+SamuelMarks@users.noreply.github.com> Date: Sat, 5 Dec 2020 21:49:14 +1100 Subject: [PATCH] [*.py] Rename "Arguments:" to "Args:" --- models/official/detection/modeling/architecture/nn_ops.py | 2 +- models/official/efficientnet/condconv/condconv_layers.py | 2 +- models/official/efficientnet/imagenet_input.py | 2 +- models/official/mask_rcnn/distributed_executer.py | 2 +- models/official/mask_rcnn/tpu_normalization.py | 2 +- 5 files changed, 5 insertions(+), 5 deletions(-) diff --git a/models/official/detection/modeling/architecture/nn_ops.py b/models/official/detection/modeling/architecture/nn_ops.py index cb8dd8ecd..2bbbf8693 100644 --- a/models/official/detection/modeling/architecture/nn_ops.py +++ b/models/official/detection/modeling/architecture/nn_ops.py @@ -41,7 +41,7 @@ class BatchNormalization(tf.layers.BatchNormalization): def __init__(self, fused=False, max_shards_for_local=8, **kwargs): """Builds the batch normalization layer. - Arguments: + Args: fused: If `False`, use the system recommended implementation. Only support `False` in the current implementation. max_shards_for_local: The maximum number of TPU shards that should use diff --git a/models/official/efficientnet/condconv/condconv_layers.py b/models/official/efficientnet/condconv/condconv_layers.py index 5468e72b6..c14c5fb8f 100644 --- a/models/official/efficientnet/condconv/condconv_layers.py +++ b/models/official/efficientnet/condconv/condconv_layers.py @@ -36,7 +36,7 @@ def get_condconv_initializer(initializer, num_experts, expert_shape): is correctly initialized with the given initializer before being flattened into the correctly shaped CondConv variable. - Arguments: + Args: initializer: The initializer to apply for each individual expert. num_experts: The number of experts to be initialized. expert_shape: The original shape of each individual expert. diff --git a/models/official/efficientnet/imagenet_input.py b/models/official/efficientnet/imagenet_input.py index a5ea0b424..d648929b9 100644 --- a/models/official/efficientnet/imagenet_input.py +++ b/models/official/efficientnet/imagenet_input.py @@ -137,7 +137,7 @@ def mixup(self, batch_size, alpha, images, labels): Mixup: Beyond Empirical Risk Minimization. ICLR'18, https://arxiv.org/abs/1710.09412 - Arguments: + Args: batch_size: The input batch size for images and labels. alpha: Float that controls the strength of Mixup regularization. images: A batch of images of shape [batch_size, ...] diff --git a/models/official/mask_rcnn/distributed_executer.py b/models/official/mask_rcnn/distributed_executer.py index 1e24e3433..1c3457643 100644 --- a/models/official/mask_rcnn/distributed_executer.py +++ b/models/official/mask_rcnn/distributed_executer.py @@ -71,7 +71,7 @@ def build_model_parameters(self, unused_mode, unused_run_config): def build_mask_rcnn_estimator(self, params, run_config, mode): """Creates TPUEstimator/Estimator instance. - Arguments: + Args: params: A dictionary to pass to Estimator `model_fn`. run_config: RunConfig instance specifying distribution strategy configurations. diff --git a/models/official/mask_rcnn/tpu_normalization.py b/models/official/mask_rcnn/tpu_normalization.py index 4fcb9636a..b961d1677 100644 --- a/models/official/mask_rcnn/tpu_normalization.py +++ b/models/official/mask_rcnn/tpu_normalization.py @@ -94,7 +94,7 @@ def cross_replica_batch_normalization(inputs, For detailed information of arguments and implementation, refer to: https://www.tensorflow.org/api_docs/python/tf/keras/layers/BatchNormalization - Arguments: + Args: inputs: Tensor input. training: Either a Python boolean, or a TensorFlow boolean scalar tensor (e.g. a placeholder). Whether to return the output in training mode pFad - Phonifier reborn

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