2 writes to _labelTensor
Microsoft.ML.Vision (2)
ImageClassificationTrainer.cs (2)
1257_labelTensor = tf.placeholder(tf.int64, new TensorShape(batch_size), name: labelColumn); 1320(_trainStep, _crossEntropy, _labelTensor, _softMaxTensor) =
11 references to _labelTensor
Microsoft.ML.Vision (11)
ImageClassificationTrainer.cs (11)
628(_evaluationStep, _) = AddEvaluationStep(_softMaxTensor, _labelTensor); 733if (_session.graph.OperationByName(_labelTensor.name.Split(':')[0]) == null) 735throw Host.ExceptParam(nameof(_labelTensor.name), $"'{_labelTensor.name}' does not" + 947runnerInputTensorNames.Add(_labelTensor.name); 959validationEvalRunner = new Runner(_session, new[] { _bottleneckInput.name, _labelTensor.name }, 979var labelTensorShape = _labelTensor.TensorShape.dims.Select(x => (long)x).ToArray(); 1177return (evalSess, _labelTensor, evaluationStep, prediction); 1294return (null, null, _labelTensor, _softMaxTensor); 1300labels: _labelTensor, logits: logits); 1313return (_trainStep, crossEntropyMean, _labelTensor, _softMaxTensor);