This is a snipped of the c# client I created to query the tensorflow server I set up using this tutorial: https://tensorflow.github.io/serving/serving_inception.html
var channel = new Channel("TFServer:9000", ChannelCredentials.Insecure);
var request = new PredictRequest();
request.ModelSpec = new ModelSpec();
request.ModelSpec.Name = "inception";
var imgBuffer = File.ReadAllBytes(#"sample.jpg");
ByteString jpeg = ByteString.CopyFrom(imgBuffer, 0, imgBuffer.Length);
var jpgeproto = new TensorProto();
jpgeproto.StringVal.Add(jpeg);
jpgeproto.Dtype = DataType.DtStringRef;
request.Inputs.Add("images", jpgeproto); // new TensorProto{TensorContent = jpeg});
PredictionClient client = new PredictionClient(channel);
I found out that most classes needed to be generated from proto files using protoc
The only thing which I cant find is how to construct the TensorProto. The error I keep getting is : Additional information: Status(StatusCode=InvalidArgument, Detail="tensor parsing error: images")
There is a sample client (https://github.com/tensorflow/serving/blob/master/tensorflow_serving/example/inception_client.py) byt my Python skills are not sufficient to understand the last bit.
I also implemented that client in another language (Java).
Try to change
jpgeproto.Dtype = DataType.DtStringRef;
to
jpgeproto.Dtype = DataType.DtString;
You may also need to add a tensor shape with a dimension to your tensor proto. Here's my working solution in Java, should be similar in C#:
TensorShapeProto.Dim dim = TensorShapeProto.Dim.newBuilder().setSize(1).build();
TensorShapeProto shape = TensorShapeProto.newBuilder().addDim(dim).build();
TensorProto proto = TensorProto.newBuilder()
.addStringVal(ByteString.copyFrom(imageBytes))
.setTensorShape(shape)
.setDtype(DataType.DT_STRING)
.build();
ModelSpec spec = ModelSpec.newBuilder().setName("inception").build();
PredictRequest r = PredictRequest.newBuilder()
.setModelSpec(spec)
.putInputs("images", proto).build();
PredictResponse response = blockingStub.predict(r);
Related
I'm working on integrating Nethereum into my .NET 5 C# API and can do read queries against my chosen blockchain (BSC), but cannot get a SendTransactionAsync or SendRequestAsync to successfully execute. I'm consistently getting the following exception:
Nethereum.JsonRpc.Client.RpcResponseException: 'transaction type not supported: eth_sendRawTransaction'.
Here are code snippets of what I have tried:
// Setup
var account = new Account(privateKey, chainId);
var rpcUrl = "https://data-seed-prebsc-2-s2.binance.org:8545/";
var client = new RpcClient(new Uri(rpcUrl));
var web3 = new Web3(account, client);
var mediaTokenAddress = "0x1E4d1BFDa5d55C2176E9E3e8367BAe720525a8e0";
var mtSvc = new MediaTokenService(web3, mediaTokenAddress);
var mintMsg = new MintNftFunction
{
FromAddress = account.Address,
Recipient = "REDACTED",
MetadataHash = "TestMetaDataHash",
MediaHash = "TestMediaHash",
SeasonId = 1
};
// Attempt #1: Using C# classes generated by the Nethereum CodeGen library
var txReceipt = await mtSvc.MintNftRequestAndWaitForReceiptAsync(mintMsg);
// Attempt #2
var txHandler = web3.Eth.GetContractTransactionHandler<MintNftFunction>();
var signedTx = await txHandler.SignTransactionAsync(mediaTokenAddress, mintMsg);
var txReceipt = await web3.Eth.Transactions.SendTransaction.SendRequestAsync(signedTx);
// Attempt #3
var txInput = mintMsg.CreateTransactionInput(mediaTokenAddress);
var txReceipt = await web3.Eth.TransactionManager.SendTransactionAsync(txInput);
Is there a configuration step I'm missing? Any help is appreciated!
EDIT: I want to call a contract method that will change values within the contract, rather than sending currency. So I need help figuring out how to do that.
For those that come across this issue, I resolved it by setting the following flag on my web3 instance:
web3.TransactionManager.UseLegacyAsDefault = true;
If there is a way to do what I need without setting this flag, please feel free to leave a comment.
Here is an example of how I do this with Nethereum
var web3 = new Nethereum.Web3.Web3("YOUR_NODE_ADDRESS");
var privateKey = "someprivatekey";
var senderAddress = "0x..."; // put actual sender address
var receiveAddress = "0x..."; //put actual receiver address
var txCount = await web3.Eth.Transactions.GetTransactionCount.SendRequestAsync(senderAddress);
double sendAmount = 5.09540000; //this is ETH
var amountInWei = Web3.Convert.ToWei(sendAmount);
//600 GWEI = 0.000000600
//60 GWEI = 0.000000060
var gwei = 147; // this is 0.000000147 ETH. You will want to calculate this based on network fees
var gasPrice = Web3.Convert.ToWei(0.000000001 * gwei);
var gasLimit = Web3.Convert.ToWei(0.000000000000021);
var encoded = Web3.OfflineTransactionSigner.SignTransaction(privateKey, receiveAddress, amountInWei, txCount.Value, gasPrice, gasLimit);
//This is what prompts the transactions
Web3.OfflineTransactionSigner.GetSenderAddress(encoded).Dump();
//TX Returns from this action
var txId = await web3.Eth.Transactions.SendRawTransaction.SendRequestAsync("0x" + encoded);
//Dump out the TX if successful
txId.Dump();
I've used this many times and it has worked for me just fine.
As part of ML automation process I want to dynamically create new AutoML model. I'm using C# (.net framework) and Google.Cloud.AutoML.V1.
After trying to run CreateDataSet code:
var autoMlClient = AutoMlClient.Create();
var parent = LocationName.FromProjectLocation(_projectId, _locationId);
var dataset = new Google.Cloud.AutoML.V1.Dataset();
dataset.DisplayName = "NewDataSet";
var response = autoMlClient.CreateDataset(parent, dataset);
I get the following error:
Field: dataset.dataset_metadata; Message: Required field not set
According to this user manual I should set Dataset Metadata Type, but the list contains only specific types of classifications (Translation/ImageClassifications etc.), I can't find a simple classification type.
How do I create a simple classification data set with the API ? in the AutoML UI its just with a simple button click ("NEW DATASET") - and have to provide only name & region - no classification type.
I also tried to set:
dataset.TextClassificationDatasetMetadata =
new TextClassificationDatasetMetadata() { ClassificationType = ClassificationType.Multiclass };
But I was unable to import data to it (got too many errors of invalid inputs from the input CSV file), I guess its related to the reason that the input format is not suitable for Text Classification.
UPDATE
I've just notice that the Nuget works with AutoML v1 but v1 beta does contains TablesDatasetMetadata Dataset Metadata Type for normal classifications. I'm speechless.
I also experienced this scenario today while creating a dataset using the NodeJS client. Since the Google AutoML table service is in the beta level you need to use the beta version of the AutoML client. In the Google cloud documentation they have used the beta client to create a dataset.
In NodeJS importing the beta version require('#google-cloud/automl').v1beta1.AutoMlClient instead of importing the normal version (v1) require('#google-cloud/automl').v1 worked for me to successfully execute the create dataset functionality.
In C# you can achieve the same through a POST request. Hope this helps :)
After #RajithaWarusavitarana comment, and my last question update , below is the code that did the trick. The token is being generated by GoogleClientAPI nuget and AutoML is handled by REST.
string GcpGlobalEndPointUrl = "https://automl.googleapis.com";
string GcpGlobalLocation = "us-central1"; // api "parent" parameter
public string GetToken(string jsonFilePath)
{
var serviceAccountCredentialFileContents = System.IO.File.ReadAllText(jsonFilePath);
var credentialParameters = NewtonsoftJsonSerializer.Instance.Deserialize<JsonCredentialParameters>(serviceAccountCredentialFileContents);
var initializer = new ServiceAccountCredential.Initializer(credentialParameters.ClientEmail)
{
Scopes = new List<string> { "https://www.googleapis.com/auth/cloud-platform" }
};
var cred = new ServiceAccountCredential(initializer.FromPrivateKey(credentialParameters.PrivateKey));
string accessToken = cred.GetAccessTokenForRequestAsync("https://oauth2.googleapis.com/token").Result;
return accessToken;
}
public void GetDataSetList(string projectId, string token)
{
var restClient = new RestClient(GcpGlobalEndPointUrl);
var createDataSetReqUrl = $"v1beta1/projects/{projectId}/locations/{GcpGlobalLocation}/datasets";
var createDataSetReq = new RestRequest(createDataSetReqUrl, Method.GET);
createDataSetReq.AddHeader("Authorization", $"Bearer {token}");
var createDatasetResponse = restClient.Execute(createDataSetReq);
createDatasetResponse.Dump();
}
I took the token generation code from google-api-dotnet-client Test File
I am trying to execute athena query using c# athena driver.
Amazon.Athena.Model.ResultConfiguration resultConfig = new Amazon.Athena.Model.ResultConfiguration();
resultConfig.OutputLocation = "https://s3.us-east-2.amazonaws.com/testbucket/one/2018-02-06/";
//other inputs i have tried
//"s3://testbucket/one/2018-02-06/"
//testbucket
//Populate the request object
Amazon.Athena.Model.StartQueryExecutionRequest queryExec = new Amazon.Athena.Model.StartQueryExecutionRequest();
queryExec.QueryString = query.QueryString;
queryExec.QueryExecutionContext = queryExecutionContext;
queryExec.ResultConfiguration = resultConfig;
StartQueryExecutionResponse athenaResponse = athenaClient.StartQueryExecution(queryExec);//throws exception
Exception for different cases:
outputLocation is not a valid S3 path. Provided https://s3.us-east-2.amazonaws.com/testbucket/one/2018-02-06/
Unable to verify/create output bucket testbucket. Provided s3://testbucket/one/2018-02-06/
Unable to verify/create output bucket testbucket. Provided testbucket
Can someone help me out with the right s3 format?
Thanks in advance.
The output location needs to be in the following format:
s3://{bucketname}/{path}
In your case this would lead to the following location:
resultConfig.OutputLocation = "s3://testbucket/one/2018-02-06/";
Amazon.Athena.AmazonAthenaClient _client = new Amazon.Athena.AmazonAthenaClient(AwsAccessKeyId, AwsSecretAccessKey, EndPoint);
Amazon.Athena.Model.ResultConfiguration resultConfig = new Amazon.Athena.Model.ResultConfiguration();
resultConfig.OutputLocation = "s3://"+BucketName+"/key1/";
string query = "SELECT * FROM copalanadev.logs";
//Populate the request object
Amazon.Athena.Model.StartQueryExecutionRequest queryExec = new Amazon.Athena.Model.StartQueryExecutionRequest();
queryExec.QueryString = query;
//queryExec.QueryExecutionContext = queryExecutionContext;
queryExec.ResultConfiguration = resultConfig;
StartQueryExecutionResponse athenaResponse = _client.StartQueryExecution(queryExec);//throws exception
I am trying to use SharpMap to render spatial data from SQL sever2008R2 in a windows form application. Below is a sample code I tried out. Everytime I tried running the code I keep getting this error message that I need to assign IGeometryServices or implement IGeometryService, since SharpMap lacks comprehensive documentation, can any on point me in the right direction please, if possible with a sample code
SharpMap.Layers.VectorLayer vlay = new SharpMap.Layers.VectorLayer("States");
//vlay.DataSource = new SharpMap.Data.Providers.ShapeFile("d:\\+PMF\\GIS\\states_ugl.shp", true);
SharpMap.Data.Providers.SqlServer2008 d = new SharpMap.Data.Providers.SqlServer2008(connectionString, "view1","geom","ID",SharpMap.Data.Providers.SqlServerSpatialObjectType.Geometry,false ,4326 );
mapBox1.Map.Layers.Add(vlay);
mapBox1.Map.ZoomToExtents();
// mapBox1.Map.BackColor = Color.BlueViolet;
mapBox1.Refresh();
Did you try
SharpMap.Layers.VectorLayer vlay = new SharpMap.Layers.VectorLayer("States");
//vlay.DataSource = new SharpMap.Data.Providers.ShapeFile("d:\\+PMF\\GIS\\states_ugl.shp", true);
SharpMap.Data.Providers.SqlServer2008 d = new SharpMap.Data.Providers.SqlServer2008(connectionString, "view1","geom","ID",SharpMap.Data.Providers.SqlServerSpatialObjectType.Geometry,false ,4326 );
vlay.DataSource = d;
mapBox1.Map.Layers.Add(vlay);
mapBox1.Map.ZoomToExtents();
// mapBox1.Map.BackColor = Color.BlueViolet;
mapBox1.Refresh();
I am creating a OO Writer document with C#.
Any help would be appreciated - I no longer know whether I am coming or going, I have tried so many variations....
using C#, has anybody successfully got the following to work? I just have a simple table of 2 columns and want to set the column widths to different values (actual value at this stage immaterial - just not identical widths).
This code is adapted from various web sources given as examples of how to do column widths. I cannot get it to work....
//For OpenOffice....
using unoidl.com.sun.star.lang;
using unoidl.com.sun.star.uno;
using unoidl.com.sun.star.bridge;
using unoidl.com.sun.star.frame;
using unoidl.com.sun.star.text;
using unoidl.com.sun.star.beans;
..............................
XTextTable odtTbl = (XTextTable) ((XMultiServiceFactory)oodt).createInstance("com.sun.star.text.TextTable");
odtTbl.initialize(10, 2);
XPropertySet xPS = (XPropertySet)odtTbl;
Object xObj = xPS.getPropertyValue("TableColumnSeparators")**; // << Runtime ERROR**
TableColumnSeparator[] xSeparators = (TableColumnSeparator[])xObj;
xSeparators[0].Position = 500;
xSeparators[1].Position = 5000;
xPS.setPropertyValue("TableColumnSeparators", new uno.Any(typeof(unoidl.com.sun.star.text.XTextTable),xSeparators));
// Runtime ERROR indicates the ; at the end of the Object line, with message of IllegalArgumentException
Now this is only one type of error out of all the combinations of attempts. Not many allowed execution at all, but the above code did actually run until the error.
What is the correct code for doing this in C# please?
In addition, what is the correct C# code to set an O'Writer heading to a particular style (such as "Heading 1") so that it looks and prints like that style in the document?
Thank you.
unoidl.com.sun.star.uno.XComponentContext localContext = uno.util.Bootstrap.bootstrap();
unoidl.com.sun.star.lang.XMultiServiceFactory multiServiceFactory = (unoidl.com.sun.star.lang.XMultiServiceFactory)localContext.getServiceManager();
XComponentLoader componentLoader =(XComponentLoader)multiServiceFactory.createInstance("com.sun.star.frame.Desktop");
XComponent xComponent = componentLoader.loadComponentFromURL(
"private:factory/swriter", //a blank writer document
"_blank", 0, //into a blank frame use no searchflag
new unoidl.com.sun.star.beans.PropertyValue[0]);//use no additional arguments.
//object odtTbl = null;
//odtTbl = ((XMultiServiceFactory)xComponent).createInstance("com.sun.star.text.TextTable");
XTextDocument xTextDocument = (unoidl.com.sun.star.text.XTextDocument)xComponent;
XText xText = xTextDocument.getText();
XTextCursor xTextCursor = xText.createTextCursor();
XPropertySet xTextCursorProps = (unoidl.com.sun.star.beans.XPropertySet) xTextCursor;
XSimpleText xSimpleText = (XSimpleText)xText;
XTextCursor xCursor = xSimpleText.createTextCursor();
object objTextTable = null;
objTextTable = ((XMultiServiceFactory)xComponent).createInstance("com.sun.star.text.TextTable");
XTextTable xTextTable = (XTextTable)objTextTable;
xTextTable.initialize(2,3);
xText.insertTextContent(xCursor, xTextTable, false);
XPropertySet xPS = (XPropertySet)objTextTable;
uno.Any xObj = xPS.getPropertyValue("TableColumnSeparators");
TableColumnSeparator[] xSeparators = (TableColumnSeparator[])xObj.Value; //!!!! xObj.Value
xSeparators[0].Position = 2000;
xSeparators[1].Position = 3000;
xPS.setPropertyValue("TableColumnSeparators", new uno.Any(typeof(TableColumnSeparator[]), xSeparators)); //!!!! TableColumnSeparator[]