def sparse_api_demo():
ti.activate(block1, [0, 1])
ti.activate(block2, [1, 2])
for i, j in x:
print('field x[{}, {}] = {}'.format(i, j, x[i, j]))
# outputs:
# field x[2, 4] = 0
# field x[2, 5] = 0
# field x[3, 4] = 0
# field x[3, 5] = 0
for i, j in block2:
print('Active block2: [{}, {}]'.format(i, j))
# output: Active block2: [1, 2]
for i, j in block1:
print('Active block1: [{}, {}]'.format(i, j))
# output: Active block1: [0, 1]
for j in range(4):
print('Activity of block2[2, {}] = {}'.format(
j, ti.is_active(block2, [1, j])))
ti.deactivate(block2, [1, 2])
for i, j in block2:
print('Active block2: [{}, {}]'.format(i, j))
# output: nothing
for i, j in block1:
print('Active block1: [{}, {}]'.format(i, j))
# output: Active block1: [0, 1]
print(ti.rescale_index(x, block1, ti.Vector([9, 17])))
# output = [2, 4]
# Note: ti.Vector is optional in ti.rescale_index.
print(ti.rescale_index(x, block1, [9, 17]))
# output = [2, 4]
ti.activate(block2, [1, 2])
def active_all():
for i in ti.ndrange(num_elements):
ti.activate(block, [i])
def activate_pointer_fields():
ti.activate(p, [7])
ti.activate(p, [3])
def foo():
ti.activate(ptr, [0])
def activate():
ti.activate(ptr, 1)
ti.activate(ptr, 32)
def activate():
for i, j in ti.ndrange(n, n):
if i < j:
x[i, j] = 1
ti.activate(cell, [10, 3])
def active_all():
for i, j in ti.ndrange(block_elements_2d[0], block_elements_2d[0]):
ti.activate(block, [i, j])