Esempio n. 1
0
        public async Task Invokes_predict_async_call()
        {
            var expectedResultValues = new[] { 1f, 2f, 3f };

            var outputTensorProto = new TensorProto {
                Dtype = DataType.DtFloat
            };

            outputTensorProto.FloatVal.Add(expectedResultValues);

            outputTensorProto.TensorShape = new TensorShapeProto();
            outputTensorProto.TensorShape.Dim.Add(new TensorShapeProto.Types.Dim());
            outputTensorProto.TensorShape.Dim[0].Size = 3;

            var predictRequest  = new PredictRequest();
            var predictResponse = new PredictResponse();

            predictResponse.Outputs.Add("output_alias", outputTensorProto);

            var predictionServiceClientMock = new Mock <IPredictionServiceClient>();

            predictionServiceClientMock.Setup(x => x.PredictAsync(predictRequest)).ReturnsAsync(predictResponse).Verifiable();

            var scoringRequestMock = new Mock <IScoringRequest>();

            scoringRequestMock.Setup(x => x.MakePredictRequest()).Returns(() => predictRequest);

            var scoringClient = new ScoringClient(predictionServiceClientMock.Object);
            var result        = await scoringClient.ScoreAsync(scoringRequestMock.Object);

            Assert.Equal(expectedResultValues, result);

            scoringRequestMock.Verify(x => x.MakePredictRequest(), Times.Exactly(1));
            predictionServiceClientMock.Verify(x => x.PredictAsync(predictRequest), Times.Exactly(1));
        }
        private static async Task <int> MainAsync(string[] args)
        {
            if (args.Length < 2)
            {
                Console.WriteLine($"Use as {errorMessage}");
                return(1);
            }

            var host        = args[0];
            var image       = args[1];
            var serviceName = args[2];

            string auth = null;

            if (args.Length > 3)
            {
                auth = args[4];
                Console.WriteLine(!string.IsNullOrEmpty(auth) ? "Using auth" : "Not using auth");
            }

            var useSSL = false;

            if (args.Length > 4)
            {
                var useSslString = args[5];
                var parsed       = bool.TryParse(useSslString, out useSSL);
                Console.WriteLine(useSSL ? "Using SSL" : "Not using SSL");
            }



            var client = new ScoringClient(host, useSSL ? 443 : 80, useSSL, auth, serviceName);

            using (var content = File.OpenRead(image))
            {
                IScoringRequest request = new ImageRequest("Placeholder:0", content);
                //Dimensions depend on model - client.ScoreAsync<float[,,,,]>(request); for ssd-vgg
                var result = await client.ScoreAsync <float[, ]>(request);

                for (int i = 0; i < result.GetLength(0); i++)
                {
                    Console.WriteLine($"Batch {i}:");
                    var length  = result.GetLength(1);
                    var results = new Dictionary <int, float>();
                    for (int j = 0; j < length; j++)
                    {
                        results.Add(j, result[i, j]);
                    }

                    foreach (var kvp in results.Where(x => x.Value > 0.001).OrderByDescending(x => x.Value).Take(5))
                    {
                        Console.WriteLine(
                            $"    {GetLabel(kvp.Key)} {kvp.Value * 100}%");
                    }
                }
            }

            return(0);
        }
Esempio n. 3
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        public async Task Retries_transient_exceptions(StatusCode transientStatusCode)
        {
            var exception = new RpcException(new Status(transientStatusCode, string.Empty));

            var expectedResultValues = new[] { 1f, 2f, 3f };

            var outputTensorProto = new TensorProto {
                Dtype = DataType.DtFloat
            };

            outputTensorProto.FloatVal.Add(expectedResultValues);

            outputTensorProto.TensorShape = new TensorShapeProto();
            outputTensorProto.TensorShape.Dim.Add(new TensorShapeProto.Types.Dim());
            outputTensorProto.TensorShape.Dim[0].Size = 3;

            var predictRequest  = new PredictRequest();
            var predictResponse = new PredictResponse();

            predictResponse.Outputs.Add("output_alias", outputTensorProto);

            var predictionServiceClientMock = new Mock <IPredictionServiceClient>();

            predictionServiceClientMock.Setup(x => x.PredictAsync(predictRequest)).Returns(async() =>
            {
                await Task.CompletedTask;

                if (exception != null)
                {
                    var x     = exception;
                    exception = null;
                    throw x;
                }

                return(predictResponse);
            }).Verifiable();

            var scoringRequestMock = new Mock <IScoringRequest>();

            scoringRequestMock.Setup(x => x.MakePredictRequest()).Returns(() => predictRequest);

            var scoringClient = new ScoringClient(predictionServiceClientMock.Object);
            var result        = await scoringClient.ScoreAsync(scoringRequestMock.Object);

            Assert.Equal(expectedResultValues, result);

            scoringRequestMock.Verify(x => x.MakePredictRequest(), Times.Exactly(1));
            predictionServiceClientMock.Verify(x => x.PredictAsync(predictRequest), Times.Exactly(2));
        }
Esempio n. 4
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        public async Task Retries_transient_exceptions_until_retries_exhausted(StatusCode transientStatusCode, int retryCount)
        {
            var exception = new RpcException(new Status(transientStatusCode, string.Empty));

            var expectedResultValues = new[] { 1f, 2f, 3f };

            var outputTensorProto = new TensorProto {
                Dtype = DataType.DtFloat
            };

            outputTensorProto.FloatVal.Add(expectedResultValues);

            outputTensorProto.TensorShape = new TensorShapeProto();
            outputTensorProto.TensorShape.Dim.Add(new TensorShapeProto.Types.Dim());
            outputTensorProto.TensorShape.Dim[0].Size = 3;

            var predictRequest  = new PredictRequest();
            var predictResponse = new PredictResponse();

            predictResponse.Outputs.Add("output_alias", outputTensorProto);

            var predictionServiceClientMock = new Mock <IPredictionServiceClient>();

            predictionServiceClientMock.Setup(x => x.PredictAsync(predictRequest)).ThrowsAsync(exception).Verifiable();

            var scoringRequestMock = new Mock <IScoringRequest>();

            scoringRequestMock.Setup(x => x.MakePredictRequest()).Returns(() => predictRequest);

            var scoringClient   = new ScoringClient(predictionServiceClientMock.Object);
            var resultException = await Assert.ThrowsAsync <RpcException>(() => scoringClient.ScoreAsync(scoringRequestMock.Object, retryCount));

            Assert.Equal(exception, resultException);

            scoringRequestMock.Verify(x => x.MakePredictRequest(), Times.Exactly(1));
            predictionServiceClientMock.Verify(x => x.PredictAsync(predictRequest), Times.Exactly(retryCount));
        }
Esempio n. 5
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        public async Task Rethrows_non_transient_exception(Exception exception)
        {
            var expectedResultValues = new[] { 1f, 2f, 3f };

            var outputTensorProto = new TensorProto {
                Dtype = DataType.DtFloat
            };

            outputTensorProto.FloatVal.Add(expectedResultValues);

            outputTensorProto.TensorShape = new TensorShapeProto();
            outputTensorProto.TensorShape.Dim.Add(new TensorShapeProto.Types.Dim());
            outputTensorProto.TensorShape.Dim[0].Size = 3;

            var predictRequest  = new PredictRequest();
            var predictResponse = new PredictResponse();

            predictResponse.Outputs.Add("output_alias", outputTensorProto);

            var predictionServiceClientMock = new Mock <IPredictionServiceClient>();

            predictionServiceClientMock.Setup(x => x.PredictAsync(predictRequest)).Returns(async() =>
            {
                await Task.CompletedTask;
                throw exception;
            }).Verifiable();

            var scoringRequestMock = new Mock <IScoringRequest>();

            scoringRequestMock.Setup(x => x.MakePredictRequest()).Returns(() => predictRequest);

            var scoringClient   = new ScoringClient(predictionServiceClientMock.Object);
            var actualException = await Assert.ThrowsAnyAsync <Exception>(async() => await scoringClient.ScoreAsync(scoringRequestMock.Object));

            Assert.Same(exception, actualException);

            scoringRequestMock.Verify(x => x.MakePredictRequest(), Times.Exactly(1));
            predictionServiceClientMock.Verify(x => x.PredictAsync(predictRequest), Times.Exactly(1));
        }