creation

Construct a new Tensor from Python data, a NumPy array, or another Tensor.

Convert data to a tensor, avoiding a copy when the source already matches.

Create a CPU tensor from a NumPy ndarray with shared storage.

Return a tensor filled with the additive identity element, zero.

Return a tensor filled with the multiplicative identity element, one.

Return a tensor whose elements are uninitialised (undefined memory).

Return a tensor filled with a constant scalar value.

Return a 2-D matrix with ones on the main diagonal and zeros elsewhere.

Return a 1-D tensor of evenly spaced values over a half-open interval.

Return a 1-D tensor of steps equally spaced values over a closed interval.

Return a zero-filled tensor with the same shape, dtype, and device as t.

Return an all-ones tensor with the same shape, dtype, and device as t.

Return an uninitialised tensor with the same shape, dtype, and device as t.

Return a constant-filled tensor with the same shape, dtype, and device as t.

Return a 1-D tensor of steps values evenly spaced on a logarithmic scale.

Set the seed of the default Philox counter-based random number generator.

Return a tensor of samples drawn from the continuous uniform distribution.

Return a tensor of samples drawn from the standard normal distribution.

Return a tensor of samples drawn from the discrete uniform distribution.

Return a tensor of independent Bernoulli trials with success probability p.

Return a tensor of samples drawn from a parametric normal distribution.

Return a $U[0,1)$ random tensor with the same shape, dtype, and device as t.

Return a $\mathcal{N}(0,1)$ random tensor with the same shape, dtype, and device as t.

Return the seed (key) of the default generator as it was last set.

Construct a Lucid tensor from any object exposing the DLPack protocol (__dlpack__) or from a raw PyCapsule.

Seed the default generator from the OS cryptographic entropy source.

Return a uniformly random permutation of the integers $0, 1, \ldots, n-1$.

Snapshot the full state of the default random generator.

Restore the default random generator to a previously captured state.

Export t as a DLPack PyCapsule.