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test_dsl_basic.py
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test_dsl_basic.py
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import heterocl as hcl
import numpy as np
def _test_logic_op(op):
def kernel(A, B):
return hcl.compute(A.shape,
lambda x: hcl.select(op(A[x]>5, B[x]>5), 0, 1))
A = hcl.placeholder((10,))
B = hcl.placeholder((10,))
s = hcl.create_schedule([A, B], kernel)
f = hcl.build(s)
return f
def test_and():
f = _test_logic_op(hcl.and_)
np_A = np.random.randint(10, size=(10,))
np_B = np.random.randint(10, size=(10,))
np_C = np.zeros(10)
golden_C = [0 if np_A[i]>5 and np_B[i]>5 else 1 for i in range(0, 10)]
hcl_A = hcl.asarray(np_A)
hcl_B = hcl.asarray(np_B)
hcl_C = hcl.asarray(np_C)
f(hcl_A, hcl_B, hcl_C)
ret_C = hcl_C.asnumpy()
assert np.array_equal(ret_C, golden_C)
def test_or():
f = _test_logic_op(hcl.or_)
np_A = np.random.randint(10, size=(10,))
np_B = np.random.randint(10, size=(10,))
np_C = np.zeros(10)
golden_C = [0 if np_A[i]>5 or np_B[i]>5 else 1 for i in range(0, 10)]
hcl_A = hcl.asarray(np_A)
hcl_B = hcl.asarray(np_B)
hcl_C = hcl.asarray(np_C)
f(hcl_A, hcl_B, hcl_C)
ret_C = hcl_C.asnumpy()
assert np.array_equal(ret_C, golden_C)
def test_if():
def kernel(A):
with hcl.if_(A[0] > 5):
A[0] = 5
A = hcl.placeholder((1,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(1,))
golden_A = [5 if np_A[0]>5 else np_A[0]]
hcl_A = hcl.asarray(np_A)
f(hcl_A)
ret_A = hcl_A.asnumpy()
assert np.array_equal(golden_A, ret_A)
def test_else():
def kernel(A):
with hcl.if_(A[0] > 5):
A[0] = 5
with hcl.else_():
A[0] = -1
A = hcl.placeholder((1,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(1,))
golden_A = [5 if np_A[0]>5 else -1]
hcl_A = hcl.asarray(np_A)
f(hcl_A)
ret_A = hcl_A.asnumpy()
assert np.array_equal(golden_A, ret_A)
def test_elif():
def kernel(A):
with hcl.if_(A[0] > 5):
A[0] = 5
with hcl.elif_(A[0] > 3):
A[0] = 3
A = hcl.placeholder((1,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(1,))
golden_A = [5 if np_A[0]>5 else (3 if np_A[0]>3 else np_A[0])]
hcl_A = hcl.asarray(np_A)
f(hcl_A)
ret_A = hcl_A.asnumpy()
assert np.array_equal(golden_A, ret_A)
def test_cond_all():
def kernel(A):
with hcl.if_(A[0] > 5):
A[0] = 5
with hcl.elif_(A[0] > 3):
A[0] = 3
with hcl.else_():
A[0] = 0
A = hcl.placeholder((1,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(1,))
golden_A = [5 if np_A[0]>5 else (3 if np_A[0]>3 else 0)]
hcl_A = hcl.asarray(np_A)
f(hcl_A)
ret_A = hcl_A.asnumpy()
def test_elif():
def kernel(A):
with hcl.if_(A[0] > 5):
A[0] = 5
with hcl.elif_(A[0] > 3):
A[0] = 3
A = hcl.placeholder((1,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(1,))
golden_A = [5 if np_A[0]>5 else (3 if np_A[0]>3 else np_A[0])]
hcl_A = hcl.asarray(np_A)
f(hcl_A)
ret_A = hcl_A.asnumpy()
def test_for_basic():
def kernel(A):
with hcl.for_(0, 10) as i:
A[i] = i
A = hcl.placeholder((10,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(10,))
golden_A = [i for i in range(0, 10)]
hcl_A = hcl.asarray(np_A)
f(hcl_A)
ret_A = hcl_A.asnumpy()
assert np.array_equal(golden_A, ret_A)
def test_for_irregular_bound():
def kernel(A):
with hcl.for_(4, 8) as i:
A[i] = i
A = hcl.placeholder((10,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(10,))
golden_A = np.copy(np_A)
for i in range(4, 8):
golden_A[i] = i
hcl_A = hcl.asarray(np_A)
f(hcl_A)
ret_A = hcl_A.asnumpy()
assert np.array_equal(golden_A, ret_A)
def test_for_step_non_one():
def kernel(A):
with hcl.for_(0, 10, 2) as i:
A[i] = i
A = hcl.placeholder((10,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(10,))
golden_A = np.copy(np_A)
for i in range(0, 10, 2):
golden_A[i] = i
hcl_A = hcl.asarray(np_A)
f(hcl_A)
ret_A = hcl_A.asnumpy()
assert np.array_equal(golden_A, ret_A)
def test_for_step_negative():
def kernel(A):
with hcl.for_(9, -1, -1) as i:
A[i] = i
A = hcl.placeholder((10,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(10,))
golden_A = [i for i in range(0, 10)]
hcl_A = hcl.asarray(np_A)
f(hcl_A)
ret_A = hcl_A.asnumpy()
assert np.array_equal(golden_A, ret_A)
def test_for_index_casting():
def kernel(A):
with hcl.for_(0, 10) as i:
with hcl.for_(i, 10) as j:
A[j] += i
A = hcl.placeholder((10,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.zeros(10)
golden_A = np.zeros(10)
for i in range(0, 10):
for j in range(i, 10):
golden_A[j] += i
hcl_A = hcl.asarray(np_A)
f(hcl_A)
ret_A = hcl_A.asnumpy()
assert np.array_equal(golden_A, ret_A)
def test_while_basic():
def kernel(A):
a = hcl.scalar(0)
with hcl.while_(a[0] < 10):
A[a[0]] = a[0]
a[0] += 1
A = hcl.placeholder((10,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(10,))
golden_A = [i for i in range(0, 10)]
hcl_A = hcl.asarray(np_A)
f(hcl_A)
ret_A = hcl_A.asnumpy()
assert np.array_equal(golden_A, ret_A)
def test_break_in_for():
def kernel(A):
with hcl.for_(0, 10) as i:
with hcl.if_(i > 5):
hcl.break_()
A[i] = i
A = hcl.placeholder((10,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(10,))
golden_A = np.copy(np_A)
for i in range(0, 6):
golden_A[i] = i
hcl_A = hcl.asarray(np_A)
f(hcl_A)
ret_A = hcl_A.asnumpy()
assert np.array_equal(golden_A, ret_A)
def test_break_in_while():
def kernel(A):
i = hcl.scalar(0)
with hcl.while_(True):
with hcl.if_(i[0] > 5):
hcl.break_()
A[i[0]] = i[0]
i[0] += 1
A = hcl.placeholder((10,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(10,))
golden_A = np.copy(np_A)
for i in range(0, 6):
golden_A[i] = i
hcl_A = hcl.asarray(np_A)
f(hcl_A)
ret_A = hcl_A.asnumpy()
assert np.array_equal(golden_A, ret_A)
def test_break_multi_level():
def kernel(A):
with hcl.for_(0, 10) as i:
with hcl.for_(0, 10) as j:
with hcl.if_(j >= i):
hcl.break_()
A[i] += j
A = hcl.placeholder((10,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(10,))
golden_A = np.copy(np_A)
for i in range(0, 10):
for j in range(0, i):
golden_A[i] += j
hcl_A = hcl.asarray(np_A)
f(hcl_A)
ret_A = hcl_A.asnumpy()
assert np.array_equal(golden_A, ret_A)
def test_get_bit_expr():
hcl.init()
def kernel(A):
return hcl.compute(A.shape, lambda x: (A[x] + 1)[0])
A = hcl.placeholder((10,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(10,))
np_B = np.zeros(10)
golden = (np_A + 1) & 1
hcl_A = hcl.asarray(np_A)
hcl_B = hcl.asarray(np_B)
f(hcl_A, hcl_B)
ret = hcl_B.asnumpy()
assert np.array_equal(golden, ret)
def test_get_bit_tensor():
hcl.init()
def kernel(A):
return hcl.compute(A.shape, lambda x: A[x][0])
A = hcl.placeholder((10,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(10,))
np_B = np.zeros(10)
golden = np_A & 1
hcl_A = hcl.asarray(np_A)
hcl_B = hcl.asarray(np_B)
f(hcl_A, hcl_B)
ret = hcl_B.asnumpy()
assert np.array_equal(golden, ret)
def test_set_bit_expr():
hcl.init()
def kernel(A, B):
with hcl.for_(0, 10) as i:
(B[i]+1)[0] = A[i]
A = hcl.placeholder((10,))
B = hcl.placeholder((10,))
try:
s = hcl.create_schedule([A, B], kernel)
except hcl.debug.APIError:
pass
else:
assert False
def test_set_bit_tensor():
hcl.init()
def kernel(A, B):
with hcl.for_(0, 10) as i:
B[i][0] = A[i]
A = hcl.placeholder((10,))
B = hcl.placeholder((10,))
s = hcl.create_schedule([A, B], kernel)
f = hcl.build(s)
np_A = np.random.randint(1, size=(10,))
np_B = np.random.randint(10, size=(10,))
golden = (np_B & 0b1110) | np_A
hcl_A = hcl.asarray(np_A)
hcl_B = hcl.asarray(np_B)
f(hcl_A, hcl_B)
ret = hcl_B.asnumpy()
assert np.array_equal(golden, ret)
def test_get_slice_expr():
hcl.init()
def kernel(A):
return hcl.compute(A.shape, lambda x: (A[x] + 1)[2:0])
A = hcl.placeholder((10,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(10,))
np_B = np.zeros(10)
golden = (np_A + 1) & 0b11
hcl_A = hcl.asarray(np_A)
hcl_B = hcl.asarray(np_B)
f(hcl_A, hcl_B)
ret = hcl_B.asnumpy()
assert np.array_equal(golden, ret)
def test_get_slice_tensor():
hcl.init()
def kernel(A):
return hcl.compute(A.shape, lambda x: A[x][2:0])
A = hcl.placeholder((10,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(10,))
np_B = np.zeros(10)
golden = np_A & 0b11
hcl_A = hcl.asarray(np_A)
hcl_B = hcl.asarray(np_B)
f(hcl_A, hcl_B)
ret = hcl_B.asnumpy()
assert np.array_equal(golden, ret)
def test_get_slice_tensor_reverse():
hcl.init()
def kernel(A):
return hcl.compute(A.shape, lambda x: A[x][0:8])
A = hcl.placeholder((10,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(10,))
np_B = np.zeros(10)
golden = np_A & 0xFF
golden = golden.astype('uint8')
hcl_A = hcl.asarray(np_A)
hcl_B = hcl.asarray(np_B)
f(hcl_A, hcl_B)
ret = hcl_B.asnumpy()
ret = ret.astype('uint8')
for i in range(0, 10):
x = np.unpackbits(golden[i])
x = np.flip(x)
y = np.unpackbits(ret[i])
assert np.array_equal(x, y)
def test_set_slice_expr():
hcl.init()
def kernel(A, B):
with hcl.for_(0, 10) as i:
(B[i]+1)[2:0] = A[i]
A = hcl.placeholder((10,))
B = hcl.placeholder((10,))
try:
s = hcl.create_schedule([A, B], kernel)
except hcl.debug.APIError:
pass
else:
assert False
def test_set_slice_tensor():
hcl.init()
def kernel(A, B):
with hcl.for_(0, 10) as i:
B[i][2:0] = A[i]
A = hcl.placeholder((10,))
B = hcl.placeholder((10,))
s = hcl.create_schedule([A, B], kernel)
f = hcl.build(s)
np_A = np.random.randint(1, size=(10,))
np_B = np.random.randint(10, size=(10,))
golden = (np_B & 0b1100) | np_A
hcl_A = hcl.asarray(np_A)
hcl_B = hcl.asarray(np_B)
f(hcl_A, hcl_B)
ret = hcl_B.asnumpy()
assert np.array_equal(golden, ret)
def test_set_slice_tensor_reverse():
hcl.init(hcl.UInt(8))
def kernel(A, B):
with hcl.for_(0, 10) as i:
B[i][0:8] = A[i]
A = hcl.placeholder((10,))
B = hcl.placeholder((10,))
s = hcl.create_schedule([A, B], kernel)
f = hcl.build(s)
np_A = np.random.randint(1, size=(10,))
np_B = np.random.randint(10, size=(10,))
np_A = np_A.astype('uint8')
np_B = np_B.astype('uint8')
hcl_A = hcl.asarray(np_A)
hcl_B = hcl.asarray(np_B)
f(hcl_A, hcl_B)
ret = hcl_B.asnumpy()
ret = ret.astype('uint8')
for i in range(0, 10):
a = np.flip(np.unpackbits(np_A[i]))
b = np.unpackbits(ret[i])
assert np.array_equal(a, b)
def test_slice_op():
hcl.init()
def kernel(A):
return hcl.compute(A.shape, lambda x: A[x][8:0] + A[x][16:8])
A = hcl.placeholder((10,))
s = hcl.create_schedule(A, kernel)
f = hcl.build(s)
np_A = np.random.randint(10, size=(10,))
np_B = np.zeros(10)
golden = (np_A & 0xFF) + ((np_A >> 8) & 0xFF)
hcl_A = hcl.asarray(np_A)
hcl_B = hcl.asarray(np_B)
f(hcl_A, hcl_B)
ret = hcl_B.asnumpy()
assert np.array_equal(golden, ret)