tensorflow::Env::StartThread()
  • References/Big Data/TensorFlow/TensorFlow C++/Env

virtual Thread* tensorflow::Env::StartThread(const ThreadOptions &thread_options, const string &name, std::function< void()> fn) TF_MUST_USE_RESULT=0

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tensorflow::Tensor::bit_casted_tensor()
  • References/Big Data/TensorFlow/TensorFlow C++/Tensor

TTypes< T, NDIMS >::Tensor tensorflow::Tensor::bit_casted_tensor() Return the tensor data to an Eigen::Tensor

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tensorflow::TensorShape::num_elements()
  • References/Big Data/TensorFlow/TensorFlow C++/TensorShape

int64 tensorflow::TensorShape::num_elements() const Returns the number of elements in the tensor. We

2025-01-10 15:47:30
tensorflow::Env::RenameFile()
  • References/Big Data/TensorFlow/TensorFlow C++/Env

Status tensorflow::Env::RenameFile(const string &src, const string &target) Renames file src to target. If target already

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tf.SparseTensor.from_value()
  • References/Big Data/TensorFlow/TensorFlow Python/Sparse Tensors

tf.SparseTensor.from_value(cls, sparse_tensor_value)

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tensorflow::SessionOptions::SessionOptions()
  • References/Big Data/TensorFlow/TensorFlow C++/SessionOptions

tensorflow::SessionOptions::SessionOptions()

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tensorflow::Session::~Session()
  • References/Big Data/TensorFlow/TensorFlow C++/Session

virtual tensorflow::Session::~Session()

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tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.sample_n()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.sample_n(n, seed=None, name='sample_n') Generate n

2025-01-10 15:47:30
tf.nn.rnn_cell.MultiRNNCell.
  • References/Big Data/TensorFlow/TensorFlow Python/Neural Network RNN Cells

tf.nn.rnn_cell.MultiRNNCell.__init__(cells, state_is_tuple=True) Create a RNN cell composed sequentially of a number of RNNCells

2025-01-10 15:47:30
tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.dtype
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.dtype

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