From bb23cc1c2826768ad412e5e50d5bf33c02ca7d95 Mon Sep 17 00:00:00 2001
From: Lauren Yu <6631887+laurenyu@users.noreply.github.com>
Date: Tue, 3 Sep 2019 15:04:43 -0700
Subject: [PATCH] doc: updated description for "accept" parameter in batch
 transform

---
 src/sagemaker/algorithm.py            |  5 +++--
 src/sagemaker/estimator.py            | 10 ++++++----
 src/sagemaker/model.py                |  5 +++--
 src/sagemaker/pipeline.py             |  5 +++--
 src/sagemaker/tensorflow/estimator.py |  5 +++--
 src/sagemaker/transformer.py          |  5 +++--
 src/sagemaker/workflow/airflow.py     |  5 +++--
 7 files changed, 24 insertions(+), 16 deletions(-)

diff --git a/src/sagemaker/algorithm.py b/src/sagemaker/algorithm.py
index fae19cbd24..988be17eee 100644
--- a/src/sagemaker/algorithm.py
+++ b/src/sagemaker/algorithm.py
@@ -365,8 +365,9 @@ def transformer(
                 not specified, results are stored to a default bucket.
             output_kms_key (str): Optional. KMS key ID for encrypting the
                 transform output (default: None).
-            accept (str): The content type accepted by the endpoint deployed
-                during the transform job.
+            accept (str): The accept header passed by the client to
+                the inference endpoint. If it is supported by the endpoint,
+                it will be the format of the batch transform output.
             env (dict): Environment variables to be set for use during the
                 transform job (default: None).
             max_concurrent_transforms (int): The maximum number of HTTP requests
diff --git a/src/sagemaker/estimator.py b/src/sagemaker/estimator.py
index 6e79e26ff8..3d35191b05 100644
--- a/src/sagemaker/estimator.py
+++ b/src/sagemaker/estimator.py
@@ -685,8 +685,9 @@ def transformer(
                 not specified, results are stored to a default bucket.
             output_kms_key (str): Optional. KMS key ID for encrypting the
                 transform output (default: None).
-            accept (str): The content type accepted by the endpoint deployed
-                during the transform job.
+            accept (str): The accept header passed by the client to
+                the inference endpoint. If it is supported by the endpoint,
+                it will be the format of the batch transform output.
             env (dict): Environment variables to be set for use during the
                 transform job (default: None).
             max_concurrent_transforms (int): The maximum number of HTTP requests
@@ -1626,8 +1627,9 @@ def transformer(
                 not specified, results are stored to a default bucket.
             output_kms_key (str): Optional. KMS key ID for encrypting the
                 transform output (default: None).
-            accept (str): The content type accepted by the endpoint deployed
-                during the transform job.
+            accept (str): The accept header passed by the client to
+                the inference endpoint. If it is supported by the endpoint,
+                it will be the format of the batch transform output.
             env (dict): Environment variables to be set for use during the
                 transform job (default: None).
             max_concurrent_transforms (int): The maximum number of HTTP requests
diff --git a/src/sagemaker/model.py b/src/sagemaker/model.py
index fd864bc766..8e5d20180e 100644
--- a/src/sagemaker/model.py
+++ b/src/sagemaker/model.py
@@ -484,8 +484,9 @@ def transformer(
                 not specified, results are stored to a default bucket.
             output_kms_key (str): Optional. KMS key ID for encrypting the
                 transform output (default: None).
-            accept (str): The content type accepted by the endpoint deployed
-                during the transform job.
+            accept (str): The accept header passed by the client to
+                the inference endpoint. If it is supported by the endpoint,
+                it will be the format of the batch transform output.
             env (dict): Environment variables to be set for use during the
                 transform job (default: None).
             max_concurrent_transforms (int): The maximum number of HTTP requests
diff --git a/src/sagemaker/pipeline.py b/src/sagemaker/pipeline.py
index a6967e7073..55cff29c96 100644
--- a/src/sagemaker/pipeline.py
+++ b/src/sagemaker/pipeline.py
@@ -208,8 +208,9 @@ def transformer(
                 not specified, results are stored to a default bucket.
             output_kms_key (str): Optional. KMS key ID for encrypting the
                 transform output (default: None).
-            accept (str): The content type accepted by the endpoint deployed
-                during the transform job.
+            accept (str): The accept header passed by the client to
+                the inference endpoint. If it is supported by the endpoint,
+                it will be the format of the batch transform output.
             env (dict): Environment variables to be set for use during the
                 transform job (default: None).
             max_concurrent_transforms (int): The maximum number of HTTP requests
diff --git a/src/sagemaker/tensorflow/estimator.py b/src/sagemaker/tensorflow/estimator.py
index bc0984d04f..4af295a7f3 100644
--- a/src/sagemaker/tensorflow/estimator.py
+++ b/src/sagemaker/tensorflow/estimator.py
@@ -719,8 +719,9 @@ def transformer(
                 results are stored to a default bucket.
             output_kms_key (str): Optional. KMS key ID for encrypting the transform output
                 (default: None).
-            accept (str): The content type accepted by the endpoint deployed during the transform
-                job.
+            accept (str): The accept header passed by the client to
+                the inference endpoint. If it is supported by the endpoint,
+                it will be the format of the batch transform output.
             env (dict): Environment variables to be set for use during the transform job
                 (default: None).
             max_concurrent_transforms (int): The maximum number of HTTP requests to be made to
diff --git a/src/sagemaker/transformer.py b/src/sagemaker/transformer.py
index ce442e0986..d66b73b6a7 100644
--- a/src/sagemaker/transformer.py
+++ b/src/sagemaker/transformer.py
@@ -60,8 +60,9 @@ def __init__(
                 not specified, results are stored to a default bucket.
             output_kms_key (str): Optional. KMS key ID for encrypting the
                 transform output (default: None).
-            accept (str): The content type accepted by the endpoint deployed
-                during the transform job.
+            accept (str): The accept header passed by the client to
+                the inference endpoint. If it is supported by the endpoint,
+                it will be the format of the batch transform output.
             max_concurrent_transforms (int): The maximum number of HTTP requests
                 to be made to each individual transform container at one time.
             max_payload (int): Maximum size of the payload in a single HTTP
diff --git a/src/sagemaker/workflow/airflow.py b/src/sagemaker/workflow/airflow.py
index 5e55351bcd..bb262975a8 100644
--- a/src/sagemaker/workflow/airflow.py
+++ b/src/sagemaker/workflow/airflow.py
@@ -689,8 +689,9 @@ def transform_config_from_estimator(
             specified, results are stored to a default bucket.
         output_kms_key (str): Optional. KMS key ID for encrypting the transform
             output (default: None).
-        accept (str): The content type accepted by the endpoint deployed during
-            the transform job.
+        accept (str): The accept header passed by the client to
+            the inference endpoint. If it is supported by the endpoint,
+            it will be the format of the batch transform output.
         env (dict): Environment variables to be set for use during the transform
             job (default: None).
         max_concurrent_transforms (int): The maximum number of HTTP requests to