From f832c3dfd509de39966dd01678f9f7fd75e862aa Mon Sep 17 00:00:00 2001 From: nidhi Date: Thu, 3 Sep 2020 16:36:46 +0530 Subject: [PATCH] Curl command for raw data --- tensorflow/classification/mnist/digits/README.md | 3 +++ tensorflow/classification/resnet/catsdogs/README.md | 3 +++ .../resnet/catsdogs/serving/example/data.json | 8 ++++++++ 3 files changed, 14 insertions(+) create mode 100644 tensorflow/classification/resnet/catsdogs/serving/example/data.json diff --git a/tensorflow/classification/mnist/digits/README.md b/tensorflow/classification/mnist/digits/README.md index 97c37cfb..b2839219 100644 --- a/tensorflow/classification/mnist/digits/README.md +++ b/tensorflow/classification/mnist/digits/README.md @@ -96,6 +96,9 @@ This example is derived from [tensorflow example](https://github.com/tensorflow/ 6. Upload an image for inference, images in **inference** folder can be used. 7. Click *predict* button and a chart is displayed with probabilities returned by the model. +4. Incase no transformer is selected use the below curl command to test mnist: + curl -kv -X POST -H "Content-Type: application/json" -H "Authorization: OAuth Bearer " -d @inference/test.json https:///dkube/inf/v1/models/:predict + # Hyperparameter tuning 1. Hyperparameter tuning is useful to find the appropriate parameter space for DL training. Dkube will auto generate all the possible combinations of parameters specified and runs training for each of the combination till the goal specified or max count is reached. 2. Dkube plots the graphs for comparision and suggests a best run with hyperparameters used for the run. diff --git a/tensorflow/classification/resnet/catsdogs/README.md b/tensorflow/classification/resnet/catsdogs/README.md index 64fe8f72..d88c3231 100644 --- a/tensorflow/classification/resnet/catsdogs/README.md +++ b/tensorflow/classification/resnet/catsdogs/README.md @@ -95,6 +95,9 @@ This example is derived from [retraining](https://www.tensorflow.org/hub/tutoria 6. Upload an image for inference, images in **inference** folder can be used. 7. Click *predict* button and a chart is displayed with probabilities returned by the model. +4. Incase no transformer is selected use the below curl command to test resnet: + curl -kv -X POST -H "Content-Type: application/json" -H "Authorization: OAuth Bearer " -d @serving/example/data.json https:///dkube/inf/v1/models/:classify + # Hyperparameter tuning 1. Hyperparameter tuning is useful to find the appropriate parameter space for DL training. Dkube will auto generate all the possible combinations of parameters specified and runs training for each of the combination till the goal specified or max count is reached. 2. Dkube plots the graphs for comparision and suggests a best run with hyperparameters used for the run. diff --git a/tensorflow/classification/resnet/catsdogs/serving/example/data.json b/tensorflow/classification/resnet/catsdogs/serving/example/data.json new file mode 100644 index 00000000..5be41d79 --- /dev/null +++ b/tensorflow/classification/resnet/catsdogs/serving/example/data.json @@ -0,0 +1,8 @@ +{ + "signature_name": "serving_default", + "examples": [{ + "inputs": { + "b64": 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wcdTV8sZK9ieaS0IhbtESPJHsSKuWVhNL2wF+8vTqOOlWHkDiOLjA5JHPHWrt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\n7tFZXLsf/9k=\n" + } + }] +}