import numpy as np
import dask.array as da
​
a = np.array([[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 1, 0], [1, 1, 1, 1]])
b = np.array([4, 2, 4, 2])
​
a, b = da.from_array(a), da.from_array(b)
​
da.linalg.solve_triangular(a, b).compute()
array([1.33333333, 2.        , 4.        , 2.        ])

import cupy as cp
import dask.array as da
​
a = cp.array([[3, 0, 0, 0], [2, 1, 0, 0], [1, 0, 1, 0], [1, 1, 1, 1]])
b = cp.array([4, 2, 4, 2])
​
a, b = da.from_array(a), da.from_array(b)
​
da.linalg.solve_triangular(a, b).compute()
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-68-9a877ba2c41f> in <module>
      7 a, b = da.from_array(a), da.from_array(b)
      8 
----> 9 da.linalg.solve_triangular(a, b).compute()

/raid/nicholasb/dev/dask/dask/base.py in compute(self, **kwargs)
    282         dask.base.compute
    283         """
--> 284         (result,) = compute(self, traverse=False, **kwargs)
    285         return result
    286 

/raid/nicholasb/dev/dask/dask/base.py in compute(*args, **kwargs)
    564         postcomputes.append(x.__dask_postcompute__())
    565 
--> 566     results = schedule(dsk, keys, **kwargs)
    567     return repack([f(r, *a) for r, (f, a) in zip(results, postcomputes)])
    568 

/raid/nicholasb/dev/dask/dask/threaded.py in get(dsk, result, cache, num_workers, pool, **kwargs)
     77             pool = MultiprocessingPoolExecutor(pool)
     78 
---> 79     results = get_async(
     80         pool.submit,
     81         pool._max_workers,

/raid/nicholasb/dev/dask/dask/local.py in get_async(submit, num_workers, dsk, result, cache, get_id, rerun_exceptions_locally, pack_exception, raise_exception, callbacks, dumps, loads, chunksize, **kwargs)
    512                             _execute_task(task, data)  # Re-execute locally
    513                         else:
--> 514                             raise_exception(exc, tb)
    515                     res, worker_id = loads(res_info)
    516                     state["cache"][key] = res

/raid/nicholasb/dev/dask/dask/local.py in reraise(exc, tb)
    323     if exc.__traceback__ is not tb:
    324         raise exc.with_traceback(tb)
--> 325     raise exc
    326 
    327 

/raid/nicholasb/dev/dask/dask/local.py in execute_task(key, task_info, dumps, loads, get_id, pack_exception)
    221     try:
    222         task, data = loads(task_info)
--> 223         result = _execute_task(task, data)
    224         id = get_id()
    225         result = dumps((result, id))

/raid/nicholasb/dev/dask/dask/core.py in _execute_task(arg, cache, dsk)
    119         # temporaries by their reference count and can execute certain
    120         # operations in-place.
--> 121         return func(*(_execute_task(a, cache) for a in args))
    122     elif not ishashable(arg):
    123         return arg

/raid/nicholasb/miniconda3/envs/cuml-dev/lib/python3.8/site-packages/scipy/linalg/basic.py in solve_triangular(a, b, trans, lower, unit_diagonal, overwrite_b, debug, check_finite)
    331              'versions of SciPy.', DeprecationWarning, stacklevel=2)
    332 
--> 333     a1 = _asarray_validated(a, check_finite=check_finite)
    334     b1 = _asarray_validated(b, check_finite=check_finite)
    335     if len(a1.shape) != 2 or a1.shape[0] != a1.shape[1]:

/raid/nicholasb/miniconda3/envs/cuml-dev/lib/python3.8/site-packages/scipy/_lib/_util.py in _asarray_validated(a, check_finite, sparse_ok, objects_ok, mask_ok, as_inexact)
    260             raise ValueError('masked arrays are not supported')
    261     toarray = np.asarray_chkfinite if check_finite else np.asarray
--> 262     a = toarray(a)
    263     if not objects_ok:
    264         if a.dtype is np.dtype('O'):

/raid/nicholasb/miniconda3/envs/cuml-dev/lib/python3.8/site-packages/numpy/lib/function_base.py in asarray_chkfinite(a, dtype, order)
    484 
    485     """
--> 486     a = asarray(a, dtype=dtype, order=order)
    487     if a.dtype.char in typecodes['AllFloat'] and not np.isfinite(a).all():
    488         raise ValueError(

/raid/nicholasb/miniconda3/envs/cuml-dev/lib/python3.8/site-packages/numpy/core/_asarray.py in asarray(a, dtype, order, like)
    100         return _asarray_with_like(a, dtype=dtype, order=order, like=like)
    101 
--> 102     return array(a, dtype, copy=False, order=order)
    103 
    104 

cupy/core/core.pyx in cupy.core.core.ndarray.__array__()

TypeError: Implicit conversion to a NumPy array is not allowed. Please use `.get()` to construct a NumPy array explicitly.