model zoo v1.5.0

CODEOWNERS

@@ -2,7 +2,7 @@
 # Each line is a file pattern followed by one or more owners.
 
 # These owners will be the default owners for everything in the repo.
-*   @mlukaszewski @claynerobison @dmsuehir @karthikvadla @mhbuehler @WafaaT
+*   @mlukaszewski @claynerobison @chuanqi129 @agramesh1
 
 # Order is important. The last matching pattern has the most precedence.
 # So if a pull request only touches javascript files, only these owners

Makefile

@@ -12,8 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-# SPDX-License-Identifier: EPL-2.0
-#
 
 
 PY_VERSION := 2

benchmarks/README.md

@@ -6,49 +6,38 @@ Training and inference scripts with Intel-optimized MKL
 
 The model scripts can be run on Linux and require the following
 dependencies to be installed:
-* [Docker](https://docs.docker.com/install/)
-* [Python](https://www.python.org/downloads/) 2.7 or later
+* [Docker](https://docs.docker.com/install/) also support bare metal run
+* [Python](https://www.python.org/downloads/) 3.5 or later
 * [git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
 * `wget` for downloading pre-trained models
 
 ## TensorFlow Use Cases
 
 | Use Case               | Framework     | Model               | Mode      | Instructions    |
 | -----------------------| --------------| ------------------- | --------- |------------------------------|
-| Adversarial Networks   | TensorFlow    | [DCGAN](https://arxiv.org/pdf/1511.06434.pdf)               | Inference | [FP32](adversarial_networks/tensorflow/dcgan/README.md#fp32-inference-instructions) |
 | Content Creation       | TensorFlow    | [DRAW](https://arxiv.org/pdf/1502.04623.pdf)               | Inference | [FP32](content_creation/tensorflow/draw/README.md#fp32-inference-instructions) |
-| Face Detection and Alignment | Tensorflow    | [FaceNet](https://arxiv.org/pdf/1503.03832.pdf)             | Inference | [FP32](face_detection_and_alignment/tensorflow/facenet/README.md#fp32-inference-instructions) |
 | Face Detection and Alignment | TensorFlow    | [MTCC](https://arxiv.org/pdf/1604.02878.pdf)               | Inference | [FP32](face_detection_and_alignment/tensorflow/mtcc/README.md#fp32-inference-instructions) |
 | Image Recognition      | TensorFlow    | [DenseNet169](https://arxiv.org/pdf/1608.06993.pdf)         | Inference | [FP32](image_recognition/tensorflow/densenet169/README.md#fp32-inference-instructions) |
 | Image Recognition      | TensorFlow    | [Inception ResNet V2](https://arxiv.org/pdf/1602.07261.pdf) | Inference | [Int8](image_recognition/tensorflow/inception_resnet_v2/README.md#int8-inference-instructions) [FP32](image_recognition/tensorflow/inception_resnet_v2/README.md#fp32-inference-instructions) |
 | Image Recognition      | TensorFlow    | [Inception V3](https://arxiv.org/pdf/1512.00567.pdf)        | Inference | [Int8](image_recognition/tensorflow/inceptionv3/README.md#int8-inference-instructions) [FP32](image_recognition/tensorflow/inceptionv3/README.md#fp32-inference-instructions) |
 | Image Recognition      | TensorFlow    | [Inception V4](https://arxiv.org/pdf/1602.07261.pdf)        | Inference | [Int8](image_recognition/tensorflow/inceptionv4/README.md#int8-inference-instructions) [FP32](image_recognition/tensorflow/inceptionv4/README.md#fp32-inference-instructions) |
-| Image Recognition      | TensorFlow    | [MobileNet V1](https://arxiv.org/pdf/1704.04861.pdf)        | Inference | [Int8](image_recognition/tensorflow/mobilenet_v1/README.md#int8-inference-instructions) [FP32](image_recognition/tensorflow/mobilenet_v1/README.md#fp32-inference-instructions) |
+| Image Recognition      | TensorFlow    | [MobileNet V1*](https://arxiv.org/pdf/1704.04861.pdf)        | Inference | [Int8](image_recognition/tensorflow/mobilenet_v1/README.md#int8-inference-instructions) [FP32](image_recognition/tensorflow/mobilenet_v1/README.md#fp32-inference-instructions) |
 | Image Recognition      | TensorFlow    | [ResNet 101](https://arxiv.org/pdf/1512.03385.pdf)          | Inference | [Int8](image_recognition/tensorflow/resnet101/README.md#int8-inference-instructions) [FP32](image_recognition/tensorflow/resnet101/README.md#fp32-inference-instructions) |
 | Image Recognition      | TensorFlow    | [ResNet 50](https://arxiv.org/pdf/1512.03385.pdf)           | Inference | [Int8](image_recognition/tensorflow/resnet50/README.md#int8-inference-instructions) [FP32](image_recognition/tensorflow/resnet50/README.md#fp32-inference-instructions) |
-| Image Recognition      | TensorFlow    | [ResNet 50v1.5](https://github.com/tensorflow/models/tree/master/official/resnet) | Inference | [Int8](image_recognition/tensorflow/resnet50v1_5/README.md#int8-inference-instructions) [FP32](image_recognition/tensorflow/resnet50v1_5/README.md#fp32-inference-instructions) |
-| Image Recognition      | TensorFlow    | [SqueezeNet](https://arxiv.org/pdf/1602.07360.pdf)          | Inference | [FP32](image_recognition/tensorflow/squeezenet/README.md#fp32-inference-instructions) |
+| Image Recognition      | TensorFlow    | [ResNet 50v1.5*](https://github.com/tensorflow/models/tree/master/official/resnet) | Inference | [Int8](image_recognition/tensorflow/resnet50v1_5/README.md#int8-inference-instructions) [FP32](image_recognition/tensorflow/resnet50v1_5/README.md#fp32-inference-instructions) |
 | Image Segmentation     | TensorFlow    | [Mask R-CNN](https://arxiv.org/pdf/1703.06870.pdf)          | Inference | [FP32](image_segmentation/tensorflow/maskrcnn/README.md#fp32-inference-instructions) |
-| Image Segmentation     | TensorFlow    | [UNet](https://arxiv.org/pdf/1505.04597.pdf)                | Inference | [FP32](image_segmentation/tensorflow/unet/README.md#fp32-inference-instructions) |
 | Language Modeling      | TensorFlow    | [LM-1B](https://arxiv.org/pdf/1602.02410.pdf)               | Inference | [FP32](language_modeling/tensorflow/lm-1b/README.md#fp32-inference-instructions) |
 | Language Translation   | TensorFlow    | [GNMT](https://arxiv.org/pdf/1609.08144.pdf)                | Inference | [FP32](language_translation/tensorflow/gnmt/README.md#fp32-inference-instructions) |
-| Language Translation   | TensorFlow    | [Transformer Language](https://arxiv.org/pdf/1706.03762.pdf)| Inference | [FP32](language_translation/tensorflow/transformer_language/README.md#fp32-inference-instructions) |
-| Language Translation   | TensorFlow    | [Transformer_LT_Official ](https://arxiv.org/pdf/1706.03762.pdf)| Inference | [FP32](language_translation/tensorflow/transformer_lt_official/README.md#fp32-inference-instructions) |
+| Language Translation   | TensorFlow    | [GNMT](https://arxiv.org/pdf/1609.08144.pdf)                | Training  | [FP32](language_translation/tensorflow/gnmt/README.md#fp32-training-instructions) |
 | Object Detection       | TensorFlow    | [R-FCN](https://arxiv.org/pdf/1605.06409.pdf)               | Inference | [Int8](object_detection/tensorflow/rfcn/README.md#int8-inference-instructions) [FP32](object_detection/tensorflow/rfcn/README.md#fp32-inference-instructions) |
 | Object Detection       | TensorFlow    | [Faster R-CNN](https://arxiv.org/pdf/1506.01497.pdf)        | Inference | [Int8](object_detection/tensorflow/faster_rcnn/README.md#int8-inference-instructions) [FP32](object_detection/tensorflow/faster_rcnn/README.md#fp32-inference-instructions) |
-| Object Detection       | TensorFlow    | [SSD-MobileNet](https://arxiv.org/pdf/1704.04861.pdf)       | Inference | [Int8](object_detection/tensorflow/ssd-mobilenet/README.md#int8-inference-instructions) [FP32](object_detection/tensorflow/ssd-mobilenet/README.md#fp32-inference-instructions) |
-| Object Detection       | TensorFlow    | [SSD-ResNet34](https://arxiv.org/pdf/1512.02325.pdf)        | Inference | [Int8](object_detection/tensorflow/ssd-resnet34/README.md#int8-inference-instructions) [FP32](object_detection/tensorflow/ssd-resnet34/README.md#fp32-inference-instructions) |
+| Object Detection       | TensorFlow    | [SSD-MobileNet*](https://arxiv.org/pdf/1704.04861.pdf)       | Inference | [Int8](object_detection/tensorflow/ssd-mobilenet/README.md#int8-inference-instructions) [FP32](object_detection/tensorflow/ssd-mobilenet/README.md#fp32-inference-instructions) |
+| Object Detection       | TensorFlow    | [SSD-ResNet34*](https://arxiv.org/pdf/1512.02325.pdf)        | Inference | [Int8](object_detection/tensorflow/ssd-resnet34/README.md#int8-inference-instructions) [FP32](object_detection/tensorflow/ssd-resnet34/README.md#fp32-inference-instructions) |
+| Object Detection       | TensorFlow    | [SSD-ResNet34*](https://arxiv.org/pdf/1512.02325.pdf)        | Training  | [FP32](object_detection/tensorflow/ssd-resnet34/README.md#fp32-training-instructions) |
 | Object Detection       | TensorFlow    | [SSD-VGG16](https://arxiv.org/pdf/1512.02325.pdf)           | Inference | [Int8](object_detection/tensorflow/ssd_vgg16/README.md#int8-inference-instructions) [FP32](object_detection/tensorflow/ssd_vgg16/README.md#fp32-inference-instructions) |
 | Recommendation         | TensorFlow    | [NCF](https://arxiv.org/pdf/1708.05031.pdf)                 | Inference | [FP32](recommendation/tensorflow/ncf/README.md#fp32-inference-instructions) |
 | Recommendation         | TensorFlow    | [Wide & Deep Large Dataset](https://arxiv.org/pdf/1606.07792.pdf)	| Inference | [Int8](recommendation/tensorflow/wide_deep_large_ds/README.md#int8-inference-instructions) [FP32](recommendation/tensorflow/wide_deep_large_ds/README.md#fp32-inference-instructions) |
+| Recommendation         | TensorFlow    | [Wide & Deep Large Dataset](https://arxiv.org/pdf/1606.07792.pdf)	| Training | [FP32](recommendation/tensorflow/wide_deep_large_ds/README.md#fp32-training-instructions) |
 | Recommendation         | TensorFlow    | [Wide & Deep](https://arxiv.org/pdf/1606.07792.pdf)         | Inference | [FP32](recommendation/tensorflow/wide_deep/README.md#fp32-inference-instructions) |
-| Text-to-Speech         | TensorFlow    | [WaveNet](https://arxiv.org/pdf/1609.03499.pdf)             | Inference | [FP32](text_to_speech/tensorflow/wavenet/README.md#fp32-inference-instructions) |
-
-
-## TensorFlow Serving Use Cases
-
-
-| Use Case               | Framework     | Model               | Mode      | Instructions    |
-| -----------------------| --------------| ------------------- | --------- |------------------------------|
-| Image Recognition      | TensorFlow Serving   | [Inception V3](https://arxiv.org/pdf/1512.00567.pdf)        | Inference | [FP32](image_recognition/tensorflow_serving/inceptionv3/README.md#fp32-inference-instructions) |
 
+*Means the model is belong to [MLPerf](https://mlperf.org/) models, will long term support. 

benchmarks/__init__.py

@@ -15,5 +15,5 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-# SPDX-License-Identifier: EPL-2.0
+
 #

benchmarks/common/__init__.py

@@ -15,5 +15,5 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-# SPDX-License-Identifier: EPL-2.0
+
 #

benchmarks/common/base_benchmark_util.py

@@ -15,7 +15,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-# SPDX-License-Identifier: EPL-2.0
+
 #
 
 from __future__ import absolute_import
@@ -117,6 +117,23 @@ def _define_args(self):
             help="Specify the number threads between layers",
             dest="num_inter_threads", default=None)
 
+        self._common_arg_parser.add_argument(
+            "-np", "--num-processes", type=check_positive_number,
+            help="Specify the number of processes to run on as mpirun '-np' "
+                 "input for multi-instance execution. ",
+            dest="num_processes", default=1)
+
+        self._common_arg_parser.add_argument(
+            "-ppn", "--num-processes-per-node", type=check_positive_number,
+            help="Specify the number of processes per node as mpirun '-ppn' "
+                 "input for multi-instance execution. ",
+            dest="num_processes_per_node", default=1)
+
+        self._common_arg_parser.add_argument(
+            "-ts", "--num-train-steps", type=check_positive_number,
+            help="Specify the number of training steps ",
+            dest="num_train_steps", default=1)
+
         self._common_arg_parser.add_argument(
             "--data-num-intra-threads", type=check_positive_number,
             help="The number intra op threads for the data layer config",
@@ -204,11 +221,11 @@ def _define_args(self):
     def _validate_args(self):
         """validate the args and initializes platform_util"""
         # check if socket id is in socket number range
-        num_sockets = self._platform_util.num_cpu_sockets
+        num_numas = self._platform_util.num_numa_nodes
         args = self.args
-        if not -1 <= args.socket_id < num_sockets:
-            raise ValueError("Socket id must be within socket number range: "
-                             "[0, {}].".format(num_sockets - 1))
+        if not -1 <= args.socket_id < num_numas:
+            raise ValueError("Socket id must be within NUMA number range: "
+                             "[0, {}].".format(num_numas - 1))
 
         # check number of cores
         num_logical_cores_per_socket = \