tf.fft2d(input, name=None) Compute the 2-dimensional discrete Fourier Transform over the inner-most 2 dimensions of input. Args: input: A Tensor of type complex64. A complex64 tensor. name: A name for the operation (optional). Returns: A Tensor of type complex64. A complex64 tensor of the same shape as input. The inner-most 2 dimensions of input are replaced with their 2D Fourier Transform.

tf.fft(input, name=None) Compute the 1-dimensional discrete Fourier Transform over the inner-most dimension of input. Args: input: A Tensor of type complex64. A complex64 tensor. name: A name for the operation (optional). Returns: A Tensor of type complex64. A complex64 tensor of the same shape as input. The inner-most dimension of input is replaced with its 1D Fourier Transform.

tf.exp(x, name=None) Computes exponential of x element-wise. \(y = e^x\). Args: x: A Tensor. Must be one of the following types: half, float32, float64, complex64, complex128. name: A name for the operation (optional). Returns: A Tensor. Has the same type as x.

tf.errors.UnknownError.__init__(node_def, op, message, error_code=2) Creates an UnknownError.

class tf.errors.UnknownError Unknown error. An example of where this error may be returned is if a Status value received from another address space belongs to an error-space that is not known to this address space. Also errors raised by APIs that do not return enough error information may be converted to this error.

tf.errors.UnimplementedError.__init__(node_def, op, message) Creates an UnimplementedError.

class tf.errors.ResourceExhaustedError Some resource has been exhausted. For example, this error might be raised if a per-user quota is exhausted, or perhaps the entire file system is out of space.

class tf.errors.UnimplementedError Raised when an operation has not been implemented. Some operations may raise this error when passed otherwise-valid arguments that it does not currently support. For example, running the tf.nn.max_pool() operation would raise this error if pooling was requested on the batch dimension, because this is not yet supported.

class tf.errors.UnauthenticatedError The request does not have valid authentication credentials. This exception is not currently used.

tf.errors.UnavailableError.__init__(node_def, op, message) Creates an UnavailableError.