def tril(a):
if len(a.shape) != 2:
raise Exception("input must have dimension 2, but len(a.shape) is " + str(len(a.shape)))
dist_array = DistArray(a.dtype, a.shape)
for i in range(a.num_blocks[0]):
for j in range(a.num_blocks[1]):
if i > j:
dist_array.blocks[i, j] = single.copy(a.blocks[i, j])
elif i == j:
dist_array.blocks[i, j] = single.triu(a.blocks[i, j])
else:
dist_array.blocks[i, j] = single.zeros([block_size, block_size])
return dist_array
def zeros(shape, dtype):
dist_array = DistArray(dtype, shape)
for index in np.ndindex(*dist_array.num_blocks):
dist_array.blocks[index] = single.zeros(dist_array.compute_block_shape(index))
return dist_array
