mirror of
https://github.com/wassname/ray.git
synced 2026-06-28 21:46:57 +08:00
mehrdadn
103 lines
1.9 KiB
Python
103 lines
1.9 KiB
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import numpy as np
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import ray
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@ray.remote
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def zeros(shape, dtype_name="float", order="C"):
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return np.zeros(shape, dtype=np.dtype(dtype_name), order=order)
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@ray.remote
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def zeros_like(a, dtype_name="None", order="K", subok=True):
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dtype_val = None if dtype_name == "None" else np.dtype(dtype_name)
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return np.zeros_like(a, dtype=dtype_val, order=order, subok=subok)
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@ray.remote
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def ones(shape, dtype_name="float", order="C"):
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return np.ones(shape, dtype=np.dtype(dtype_name), order=order)
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@ray.remote
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def eye(N, M=-1, k=0, dtype_name="float"):
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M = N if M == -1 else M
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return np.eye(N, M=M, k=k, dtype=np.dtype(dtype_name))
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@ray.remote
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def dot(a, b):
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return np.dot(a, b)
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@ray.remote
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def vstack(*xs):
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return np.vstack(xs)
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@ray.remote
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def hstack(*xs):
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return np.hstack(xs)
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# TODO(rkn): Instead of this, consider implementing slicing.
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# TODO(rkn): Be consistent about using "index" versus "indices".
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@ray.remote
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def subarray(a, lower_indices, upper_indices):
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idx = tuple(slice(l, u) for (l, u) in zip(lower_indices, upper_indices))
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return a[idx]
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@ray.remote
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def copy(a, order="K"):
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return np.copy(a, order=order)
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@ray.remote
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def tril(m, k=0):
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return np.tril(m, k=k)
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@ray.remote
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def triu(m, k=0):
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return np.triu(m, k=k)
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@ray.remote
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def diag(v, k=0):
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return np.diag(v, k=k)
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@ray.remote
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def transpose(a, axes=[]):
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axes = None if axes == [] else axes
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return np.transpose(a, axes=axes)
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@ray.remote
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def add(x1, x2):
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return np.add(x1, x2)
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@ray.remote
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def subtract(x1, x2):
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return np.subtract(x1, x2)
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@ray.remote
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def sum(x, axis=-1):
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return np.sum(x, axis=axis if axis != -1 else None)
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@ray.remote
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def shape(a):
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return np.shape(a)
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@ray.remote
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def sum_list(*xs):
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return np.sum(xs, axis=0)
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