arange(start, /[, stop, step, dtype, ...])
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Returns evenly spaced values within the half-open interval [start, stop) as a one-dimensional array. |
asarray(obj, /, *[, dtype, device, copy, ...])
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Converts input object to dpctl.tensor.usm_ndarray. |
empty(shape, *[, dtype, order, device, ...])
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Creates dpctl.tensor.usm_ndarray from uninitialized USM allocation. |
empty_like(x, /, *[, dtype, order, device, ...])
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Returns an uninitialized dpctl.tensor.usm_ndarray with the same shape as the input array x. |
eye(n_rows[, n_cols, k, dtype, device, ...])
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Creates dpctl.tensor.usm_ndarray with ones on the k-th diagonal. |
from_dlpack(obj)
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Constructs dpctl.tensor.usm_ndarray instance from a Python object obj that implements __dlpack__ protocol. |
full(shape, fill_value, *[, dtype, order, ...])
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Returns a new dpctl.tensor.usm_ndarray having a specified shape and filled with fill_value. |
full_like(x, fill_value[, dtype, order, ...])
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Returns a new dpctl.tensor.usm_ndarray filled with fill_value and having the same shape as the input array x. |
linspace(start, stop, num[, dtype, device, ...])
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Returns dpctl.tensor.usm_ndarray array populated with evenly spaced numbers of specified interval. |
meshgrid(*arrays[, indexing])
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Creates list of dpctl.tensor.usm_ndarray coordinate matrices from vectors. |
ones(shape[, dtype, order, device, ...])
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Returns a new dpctl.tensor.usm_ndarray having a specified shape and filled with ones. |
ones_like(x, /, *[, dtype, order, device, ...])
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Returns a new dpctl.tensor.usm_ndarray filled with ones and having the same shape as the input array x. |
tril(x, /, *[, k])
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Returns the lower triangular part of a matrix (or a stack of matrices) x. |
triu(x, /, *[, k])
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Returns the upper triangular part of a matrix (or a stack of matrices) x. |
zeros(shape, *[, dtype, order, device, ...])
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Returns a new dpctl.tensor.usm_ndarray having a specified shape and filled with zeros. |
zeros_like(x, /, *[, dtype, order, device, ...])
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Creates dpctl.tensor.usm_ndarray from USM allocation initialized with zeros. |
from_numpy(arg[, device, usm_type, sycl_queue])
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Creates dpctl.tensor.usm_ndarray from instance of numpy.ndarray. |
copy(ary[, order])
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Creates a copy of given instance of dpctl.tensor.usm_ndarray. |