# Troubleshoot Neo Compilation Errors
<a name="neo-troubleshooting-compilation"></a>

This section contains information about how to understand and prevent common compilation errors, the error messages they generate, and guidance on how to resolve these errors. 

**Topics**
+ [How to Use This Page](#neo-troubleshooting-compilation-how-to-use)
+ [Framework-Related Errors](#neo-troubleshooting-compilation-framework-related-errors)
+ [Infrastructure-Related Errors](#neo-troubleshooting-compilation-infrastructure-errors)
+ [Check your compilation log](#neo-troubleshooting-compilation-logs)

## How to Use This Page
<a name="neo-troubleshooting-compilation-how-to-use"></a>

Attempt to resolve your error by the going through these sections in the following order:

1. Check that the input of your compilation job satisfies the input requirements. See [What input data shapes does SageMaker Neo expect?](neo-compilation-preparing-model.md#neo-job-compilation-expected-inputs)

1.  Check common [framework-specific errors](https://docs.aws.amazon.com/sagemaker/latest/dg/neo-troubleshooting-compilation.html#neo-troubleshooting-compilation-framework-related-errors). 

1.  Check if your error is an [infrastructure error](https://docs.aws.amazon.com/sagemaker/latest/dg/neo-troubleshooting-compilation.html#neo-troubleshooting-compilation-infrastructure-errors). 

1. Check your [compilation log](https://docs.aws.amazon.com/sagemaker/latest/dg/neo-troubleshooting-compilation.html#neo-troubleshooting-compilation-logs).

## Framework-Related Errors
<a name="neo-troubleshooting-compilation-framework-related-errors"></a>

### Keras
<a name="neo-troubleshooting-compilation-framework-related-errors-keras"></a>


| Error | Solution | 
| --- | --- | 
|  `InputConfiguration: No h5 file provided in <model path>`  |  Check your h5 file is in the Amazon S3 URI you specified. <br />*Or*<br />Check that the [h5 file is correctly formatted](https://www.tensorflow.org/guide/keras/save_and_serialize#keras_h5_format).  | 
|  `InputConfiguration: Multiple h5 files provided, <model path>, when only one is allowed`  | Check you are only providing one `h5` file. | 
|  `ClientError: InputConfiguration: Unable to load provided Keras model. Error: 'sample_weight_mode'`  | Check the Keras version you specified is supported. See, supported frameworks for [cloud instances](https://docs.aws.amazon.com/sagemaker/latest/dg/neo-supported-cloud.html) and [edge devices](https://docs.aws.amazon.com/sagemaker/latest/dg/neo-supported-devices-edge.html).  | 
|  `ClientError: InputConfiguration: Input input has wrong shape in Input Shape dictionary. Input shapes should be provided in NCHW format. `  |  Check that your model input follows NCHW format. See [What input data shapes does SageMaker Neo expect?](https://docs.aws.amazon.com/sagemaker/latest/dg/neo-job-compilation.html#neo-job-compilation-expected-inputs)  | 

### MXNet
<a name="neo-troubleshooting-compilation-framework-related-errors-mxnet"></a>


| Error | Solution | 
| --- | --- | 
|  `ClientError: InputConfiguration: Only one parameter file is allowed for MXNet model. Please make sure the framework you select is correct.`  |  SageMaker Neo will select the first parameter file given for compilation.  | 

### TensorFlow
<a name="neo-troubleshooting-compilation-framework-related-errors-tensorflow"></a>


| Error | Solution | 
| --- | --- | 
|  `InputConfiguration: Exactly one .pb file is allowed for TensorFlow models.`  | Make sure you only provide one .pb or .pbtxt file. | 
| `InputConfiguration: Exactly one .pb or .pbtxt file is allowed for TensorFlow models.` | Make sure you only provide one .pb or .pbtxt file. | 
|  ` ClientError: InputConfiguration: TVM cannot convert <model zoo> model. Please make sure the framework you selected is correct. The following operators are not implemented: {<operator name>} `  |  Check the operator you chose is supported. See [SageMaker Neo Supported Frameworks and Operators](https://aws.amazon.com/releasenotes/sagemaker-neo-supported-frameworks-and-operators/).  | 

### PyTorch
<a name="neo-troubleshooting-compilation-framework-related-errors-pytorch"></a>


| Error | Solution | 
| --- | --- | 
|  `InputConfiguration: We are unable to extract DataInputConfig from the model due to {{input_config_derivation_error}}. Please override by providing a DataInputConfig during compilation job creation.` | Do either of the following:[See the AWS documentation website for more details](http://docs.aws.amazon.com/sagemaker/latest/dg/neo-troubleshooting-compilation.html) | 

## Infrastructure-Related Errors
<a name="neo-troubleshooting-compilation-infrastructure-errors"></a>


| Error | Solution | 
| --- | --- | 
|  `ClientError: InputConfiguration: S3 object does not exist. Bucket: <bucket>, Key: <bucket key>`  | Check the Amazon S3 URI your provided. | 
|  ` ClientError: InputConfiguration: Bucket <bucket name> is in region <region name> which is different from AWS Sagemaker service region <service region> `  |  Create an Amazon S3 bucket that is in the same region as the service.  | 
|  ` ClientError: InputConfiguration: Unable to untar input model. Please confirm the model is a tar.gz file `  |  Check that your model in Amazon S3 is compressed into a `tar.gz` file.  | 

## Check your compilation log
<a name="neo-troubleshooting-compilation-logs"></a>

1. Navigate to Amazon CloudWatch at [https://console.aws.amazon.com/cloudwatch/](https://console.aws.amazon.com/cloudwatch/).

1. Select the region you created the compilation job from the **Region** dropdown list in the top right.

1. In the navigation pane of the Amazon CloudWatch, choose **Logs**. Select **Log groups**.

1. Search for the log group called `/aws/sagemaker/CompilationJobs`. Select the log group.

1. Search for the logstream named after the compilation job name. Select the log stream.