Update 'intel-tensorflow' versions to 'v2.4'

kanvi-nervana · Feb 9, 2021 · 762c2d6 · 762c2d6
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diff --git a/benchmarks/image_recognition/tensorflow/densenet169/README.md b/benchmarks/image_recognition/tensorflow/densenet169/README.md
@@ -41,7 +41,7 @@ following modes/precisions:
         --batch-size 100 \
         --socket-id 0 \
         --in-graph /home/<user>/densenet169_fp32_pretrained_model.pb \
-        --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+        --docker-image intel/intel-optimized-tensorflow:2.4.0 \
         -- input_height=224 input_width=224 warmup_steps=20 steps=100 \
         input_layer="input" output_layer="densenet169/predictions/Reshape_1"
     ```
@@ -57,7 +57,7 @@ following modes/precisions:
         --batch-size 1 \
         --socket-id 0 \
         --in-graph /home/<user>/densenet169_fp32_pretrained_model.pb \
-        --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+        --docker-image intel/intel-optimized-tensorflow:2.4.0 \
         -- input_height=224 input_width=224 warmup_steps=20 steps=100 \
         input_layer="input" output_layer="densenet169/predictions/Reshape_1"
     ```
@@ -74,7 +74,7 @@ following modes/precisions:
         --batch-size 100 \
         --socket-id 0 \
         --in-graph /home/<user>/densenet169_fp32_pretrained_model.pb \
-        --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+        --docker-image intel/intel-optimized-tensorflow:2.4.0 \
         --data-location /home/<user>/imagenet_validation_dataset \
         -- input_height=224 input_width=224 \
         input_layer="input" output_layer="densenet169/predictions/Reshape_1"

diff --git a/benchmarks/image_recognition/tensorflow/inceptionv3/README.md b/benchmarks/image_recognition/tensorflow/inceptionv3/README.md
@@ -73,7 +73,7 @@ python launch_benchmark.py \
     --framework tensorflow \
     --accuracy-only \
     --batch-size 100 \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+    --docker-image intel/intel-optimized-tensorflow:2.4.0 \
     --in-graph /home/<user>/inceptionv3_int8_pretrained_model.pb \
     --data-location /home/<user>/datasets/ImageNet_TFRecords
 ```
@@ -94,7 +94,7 @@ python launch_benchmark.py \
     --benchmark-only \
     --batch-size 1 \
     --socket-id 0 \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+    --docker-image intel/intel-optimized-tensorflow:2.4.0 \
     --in-graph /home/<user>/inceptionv3_int8_pretrained_model.pb \
     --data-location /home/<user>/datasets/ImageNet_TFRecords \
     -- warmup_steps=50 steps=500
@@ -111,7 +111,7 @@ python launch_benchmark.py \
     --benchmark-only \
     --batch-size 1 \
     --socket-id 0 \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+    --docker-image intel/intel-optimized-tensorflow:2.4.0 \
     --in-graph /home/<user>/inceptionv3_int8_pretrained_model.pb \
     -- warmup_steps=50 steps=500
 ```
@@ -127,7 +127,7 @@ python launch_benchmark.py \
     --benchmark-only \
     --batch-size 128 \
     --socket-id 0 \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+    --docker-image intel/intel-optimized-tensorflow:2.4.0 \
     --in-graph /home/<user>/inceptionv3_int8_pretrained_model.pb \
     --data-location /home/<user>/datasets/ImageNet_TFRecords \
     -- warmup_steps=50 steps=500
@@ -144,7 +144,7 @@ python launch_benchmark.py \
     --benchmark-only \
     --batch-size 128 \
     --socket-id 0 \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+    --docker-image intel/intel-optimized-tensorflow:2.4.0 \
     --in-graph /home/<user>/inceptionv3_int8_pretrained_model.pb \
     -- warmup_steps=50 steps=500
 ```
@@ -234,7 +234,7 @@ python launch_benchmark.py \
     --framework tensorflow \
     --batch-size 1 \
     --socket-id 0 \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+    --docker-image intel/intel-optimized-tensorflow:2.4.0 \
     --in-graph /home/<user>/inceptionv3_fp32_pretrained_model.pb
 ```
 Example log tail when running for online inference:
@@ -265,7 +265,7 @@ python launch_benchmark.py \
     --framework tensorflow \
     --batch-size 128 \
     --socket-id 0 \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+    --docker-image intel/intel-optimized-tensorflow:2.4.0 \
     --in-graph /home/<user>/inceptionv3_fp32_pretrained_model.pb
 ```
 Example log tail when running for batch inference:
@@ -297,7 +297,7 @@ python launch_benchmark.py \
     --accuracy-only \
     --batch-size 100 \
     --data-location /dataset/Imagenet_Validation \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+    --docker-image intel/intel-optimized-tensorflow:2.4.0 \
     --in-graph /home/<user>/inceptionv3_fp32_pretrained_model.pb
 ```
 Example log tail when running for accuracy:

diff --git a/benchmarks/image_recognition/tensorflow/inceptionv4/README.md b/benchmarks/image_recognition/tensorflow/inceptionv4/README.md
@@ -57,7 +57,7 @@ when calling `launch_benchmark.py` and the script will run without TCMalloc.
        --accuracy-only \
        --batch-size 100 \
        --socket-id 0 \
-       --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+       --docker-image intel/intel-optimized-tensorflow:2.4.0 \
        --in-graph /home/<user>/inceptionv4_int8_pretrained_model.pb \
        --data-location /home/<user>/ImageNet_TFRecords
    ```
@@ -72,7 +72,7 @@ when calling `launch_benchmark.py` and the script will run without TCMalloc.
        --benchmark-only \
        --batch-size 240 \
        --socket-id 0 \
-       --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+       --docker-image intel/intel-optimized-tensorflow:2.4.0 \
        --in-graph /home/<user>/inceptionv4_int8_pretrained_model.pb
    ```
 
@@ -86,7 +86,7 @@ when calling `launch_benchmark.py` and the script will run without TCMalloc.
        --benchmark-only \
        --batch-size 1 \
        --socket-id 0 \
-       --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+       --docker-image intel/intel-optimized-tensorflow:2.4.0 \
        --in-graph /home/<user>/inceptionv4_int8_pretrained_model.pb
    ```
 
@@ -187,7 +187,7 @@ when calling `launch_benchmark.py` and the script will run without TCMalloc.
        --accuracy-only \
        --batch-size 100 \
        --socket-id 0 \
-       --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+       --docker-image intel/intel-optimized-tensorflow:2.4.0 \
        --in-graph /home/<user>/inceptionv4_fp32_pretrained_model.pb \
        --data-location /home/<user>/ImageNet_TFRecords
    ```
@@ -202,7 +202,7 @@ when calling `launch_benchmark.py` and the script will run without TCMalloc.
        --benchmark-only \
        --batch-size 240 \
        --socket-id 0 \
-       --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+       --docker-image intel/intel-optimized-tensorflow:2.4.0 \
        --in-graph /home/<user>/inceptionv4_fp32_pretrained_model.pb
    ```
 
@@ -216,7 +216,7 @@ when calling `launch_benchmark.py` and the script will run without TCMalloc.
        --benchmark-only \
        --batch-size 1 \
        --socket-id 0 \
-       --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+       --docker-image intel/intel-optimized-tensorflow:2.4.0 \
        --in-graph /home/<user>/inceptionv4_fp32_pretrained_model.pb
    ```
 

diff --git a/benchmarks/image_recognition/tensorflow/mobilenet_v1/README.md b/benchmarks/image_recognition/tensorflow/mobilenet_v1/README.md
@@ -52,7 +52,7 @@ $ wget https://storage.googleapis.com/intel-optimized-tensorflow/models/v1_8/mob
          --batch-size 240  \
          --socket-id 0 \
          --in-graph /home/<user>/mobilenetv1_int8_pretrained_model.pb  \
-         --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+         --docker-image intel/intel-optimized-tensorflow:2.4.0 \
          -- input_height=224 input_width=224 warmup_steps=10 steps=50 \
          input_layer="input" output_layer="MobilenetV1/Predictions/Reshape_1"
     ```
@@ -68,7 +68,7 @@ $ wget https://storage.googleapis.com/intel-optimized-tensorflow/models/v1_8/mob
          --batch-size 1  \
          --socket-id 0 \
          --in-graph /home/<user>/mobilenetv1_int8_pretrained_model.pb  \
-         --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+         --docker-image intel/intel-optimized-tensorflow:2.4.0 \
          -- input_height=224 input_width=224 warmup_steps=10 steps=50 \
          input_layer="input" output_layer="MobilenetV1/Predictions/Reshape_1"
     ```
@@ -85,7 +85,7 @@ $ wget https://storage.googleapis.com/intel-optimized-tensorflow/models/v1_8/mob
          --batch-size 100  \
          --socket-id 0 \
          --in-graph /home/<user>/mobilenetv1_int8_pretrained_model.pb  \
-         --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+         --docker-image intel/intel-optimized-tensorflow:2.4.0 \
          --data-location /home/<user>/imagenet_validation_dataset \
          -- input_height=224 input_width=224 \
          input_layer="input" output_layer="MobilenetV1/Predictions/Reshape_1"
@@ -191,7 +191,7 @@ $ wget https://storage.googleapis.com/intel-optimized-tensorflow/models/v1_8/mob
          --model-name mobilenet_v1 \
          --mode inference \
          --framework tensorflow \
-         --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+         --docker-image intel/intel-optimized-tensorflow:2.4.0 \
          --model-source-dir /home/<user>/tensorflow/models  \
          --batch-size 1 \
          --socket-id 0 \
@@ -211,7 +211,7 @@ $ wget https://storage.googleapis.com/intel-optimized-tensorflow/models/v1_8/mob
          --model-name mobilenet_v1 \
          --mode inference \
          --framework tensorflow \
-         --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+         --docker-image intel/intel-optimized-tensorflow:2.4.0 \
          --model-source-dir /home/<user>/tensorflow/models  \
          --batch-size 100 \
          --socket-id 0 \
@@ -227,7 +227,7 @@ $ wget https://storage.googleapis.com/intel-optimized-tensorflow/models/v1_8/mob
          --model-name mobilenet_v1 \
          --mode inference \
          --framework tensorflow \
-         --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+         --docker-image intel/intel-optimized-tensorflow:2.4.0 \
          --model-source-dir /home/<user>/tensorflow/models  \
          --batch-size 100 \
          --accuracy-only \

diff --git a/benchmarks/image_recognition/tensorflow/resnet101/README.md b/benchmarks/image_recognition/tensorflow/resnet101/README.md
@@ -61,7 +61,7 @@ $ python launch_benchmark.py \
     --framework tensorflow \
     --accuracy-only \
     --batch-size 100 \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+    --docker-image intel/intel-optimized-tensorflow:2.4.0 \
     --data-location /home/<user>/dataset/FullImageNetData_directory \
     --in-graph=/home/<user>/resnet101_int8_pretrained_model.pb
 ```
@@ -82,7 +82,7 @@ python launch_benchmark.py \
     --benchmark-only \
     --batch-size 1 \
     --socket-id 0 \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+    --docker-image intel/intel-optimized-tensorflow:2.4.0 \
     --in-graph=/home/<user>/resnet101_int8_pretrained_model.pb \
     -- warmup_steps=50 steps=500
 ```
@@ -99,7 +99,7 @@ python launch_benchmark.py \
     --batch-size 1 \
     --socket-id 0 \
     --data-location /home/<user>/dataset/FullImageNetData_directory \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+    --docker-image intel/intel-optimized-tensorflow:2.4.0 \
     --in-graph=/home/<user>/resnet101_int8_pretrained_model.pb \
     -- warmup_steps=50 steps=500
 ```
@@ -115,7 +115,7 @@ python launch_benchmark.py \
     --benchmark-only \
     --batch-size 128 \
     --socket-id 0 \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+    --docker-image intel/intel-optimized-tensorflow:2.4.0 \
     --in-graph=/home/<user>/resnet101_int8_pretrained_model.pb \
     -- warmup_steps=50 steps=500
 ```
@@ -132,7 +132,7 @@ python launch_benchmark.py \
     --batch-size 128 \
     --data-location /home/<user>/dataset/FullImageNetData_directory \
     --socket-id 0 \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+    --docker-image intel/intel-optimized-tensorflow:2.4.0 \
     --in-graph=/home/<user>/resnet101_int8_pretrained_model.pb \
     -- warmup_steps=50 steps=500
 ```
@@ -210,7 +210,7 @@ $ wget https://storage.googleapis.com/intel-optimized-tensorflow/models/v1_8/res
         --mode inference \
         --model-name resnet101 \
         --batch-size 128 \
-        --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+        --docker-image intel/intel-optimized-tensorflow:2.4.0 \
         --in-graph /home/<user>/trained_models/resnet101_fp32_pretrained_model.pb \
         --socket-id 0
     ```
@@ -237,7 +237,7 @@ $ wget https://storage.googleapis.com/intel-optimized-tensorflow/models/v1_8/res
         --mode inference \
         --model-name resnet101 \
         --batch-size 100 \
-        --docker-image intel/intel-optimized-tensorflow:2.3.0 \
+        --docker-image intel/intel-optimized-tensorflow:2.4.0 \
         --in-graph /home/<user>/trained_models/resnet101_fp32_pretrained_model.pb \
         --data-location /home/<user>/imagenet_validation_dataset \
         --accuracy-only \

diff --git a/benchmarks/image_recognition/tensorflow/resnet50/README.md b/benchmarks/image_recognition/tensorflow/resnet50/README.md
@@ -50,7 +50,7 @@ $ python launch_benchmark.py \
     --mode inference \
     --batch-size=100 \
     --accuracy-only \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0
+    --docker-image intel/intel-optimized-tensorflow:2.4.0
 ```
 The log file is saved to the value of `--output-dir`.
 
@@ -91,7 +91,7 @@ $ python launch_benchmark.py \
     --mode inference \
     --batch-size=128 \
     --benchmark-only \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0
+    --docker-image intel/intel-optimized-tensorflow:2.4.0
     -- warmup_steps=50 steps=500
 ```
 The tail of the log output when the script completes should look
@@ -152,7 +152,7 @@ $ python launch_benchmark.py \
     --mode inference \
     --batch-size=1 \
     --socket-id 0 \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0
+    --docker-image intel/intel-optimized-tensorflow:2.4.0
 ```
 
 The log file is saved to the value of `--output-dir`.
@@ -187,7 +187,7 @@ $ python launch_benchmark.py \
     --mode inference \
     --batch-size=128 \
     --socket-id 0 \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0
+    --docker-image intel/intel-optimized-tensorflow:2.4.0
 ```
 
 The log file is saved to the value of `--output-dir`.
@@ -225,7 +225,7 @@ $ python launch_benchmark.py \
     --batch-size 100 \
     --socket-id 0 \
     --data-location /home/<user>/dataset/ImageNetData_directory \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0
+    --docker-image intel/intel-optimized-tensorflow:2.4.0
 ```
 
 The log file is saved to the value of `--output-dir`.
@@ -259,7 +259,7 @@ $ python launch_benchmark.py \
     --batch-size 100 \
     --socket-id 0 \
     --data-location /home/<user>/dataset/ImageNetData_directory \
-    --docker-image intel/intel-optimized-tensorflow:2.3.0
+    --docker-image intel/intel-optimized-tensorflow:2.4.0
 ```
 The results file will be written to the
 `models/benchmarks/common/tensorflow/logs` directory, unless another