def flipcoin():
flip = flip_coin_op('flip')
with dsl.Condition(flip.outputs['result'] == 'heads'):
flip2 = flip_coin_op('flip-again')
with dsl.Condition(flip2.outputs['result'] == 'tails'):
print_op('print1', flip2.outputs['result'])
with dsl.Condition(flip.outputs['result'] == 'tails'):
print_op('print2', flip2.outputs['results'])
def my_pipeline():
flip1 = flip_coin_op()
print_op(flip1.output)
flip2 = flip_coin_op()
print_op(flip2.output)
with dsl.Condition(flip1.output != 'no-such-result'): # always true
flip3 = flip_coin_op()
print_op(flip3.output)
with dsl.Condition(flip2.output == flip3.output):
flip4 = flip_coin_op()
print_op(flip4.output)
def my_pipeline():
flip1 = flip_coin_op()
print_op(flip1.output)
with dsl.Condition(flip1.output == 'heads'):
flip2 = flip_coin_op()
print_op(flip2.output)
def my_pipeline(text: str = 'condition test'):
flip1 = flip_coin_op()
print_op(flip1.output)
with dsl.Condition(flip1.output == 'heads'):
flip2 = flip_coin_op()
print_op(flip2.output)
print_op(text)
def my_pipeline(text: str = 'condition test', force_flip_result: str = ''):
flip1 = flip_coin(force_flip_result=force_flip_result)
print_msg(msg=flip1.output)
with dsl.Condition(flip1.output == 'heads'):
flip2 = flip_coin()
print_msg(msg=flip2.output)
print_msg(msg=text)
def my_pipeline(text: str = 'condition test'):
flip1 = flip_coin_op().set_caching_options(False)
print_op(msg=flip1.output)
with dsl.Condition(flip1.output == 'heads'):
flip2 = flip_coin_op().set_caching_options(False)
print_op(msg=flip2.output)
print_op(msg=text)
def my_pipeline(
dataset2: str = 'gs://ml-pipeline-playground/shakespeare2.txt'):
importer1 = importer(
artifact_uri='gs://ml-pipeline-playground/shakespeare1.txt',
artifact_class=Dataset,
reimport=False)
train1 = train(dataset=importer1.output)
with dsl.Condition(train1.outputs['scalar'] == '123'):
importer2 = importer(artifact_uri=dataset2,
artifact_class=Dataset,
reimport=True)
train(dataset=importer2.output)
def my_pipeline(
msg: str = 'hello',
loop_parameter: list = [
{
'A_a': 'heads',
'B_b': ['A', 'B'],
},
{
'A_a': 'tails',
'B_b': ['X', 'Y', 'Z'],
},
],
):
flip = flip_coin_op()
outter_args_generator = args_generator_op()
with dsl.Condition(flip.output != 'no-such-result'): # always true
inner_arg_generator = args_generator_op()
with dsl.ParallelFor(outter_args_generator.output) as item:
print_op(msg)
with dsl.Condition(item.A_a == 'heads'):
print_op(item.B_b)
with dsl.Condition(flip.output == 'heads'):
print_op(item.B_b)
with dsl.Condition(item.A_a == 'tails'):
with dsl.ParallelFor([{'a': '-1'}, {'a': '-2'}]) as inner_item:
print_op(inner_item)
with dsl.ParallelFor(item.B_b) as item_b:
print_op(item_b)
with dsl.ParallelFor(loop_parameter) as pipeline_item:
print_op(pipeline_item)
with dsl.ParallelFor(inner_arg_generator.output) as inner_item:
print_op(pipeline_item, inner_item.A_a)
with dsl.ParallelFor(['1', '2']) as static_item:
print_op(static_item)
with dsl.Condition(static_item == '1'):
print_op('1')
# Reference loop item from grand child
with dsl.ParallelFor(loop_parameter) as item:
with dsl.Condition(item.A_a == 'heads'):
with dsl.ParallelFor(item.B_b) as item_b:
print_op(item_b)
def my_pipeline():
flip = flip_coin_op()
with dsl.Condition(flip.output == 'heads'):
random_num_head = random_num_op(0, 9)()
with dsl.Condition(random_num_head.output > 5):
print_op(msg='heads and %s > 5!' % random_num_head.output)
with dsl.Condition(random_num_head.output <= 5):
print_op(msg='heads and %s <= 5!' % random_num_head.output)
with dsl.Condition(flip.output == 'tails'):
random_num_tail = random_num_op(10, 19)()
with dsl.Condition(random_num_tail.output > 15):
print_op(msg='tails and %s > 15!' % random_num_tail.output)
with dsl.Condition(random_num_tail.output <= 15):
print_op(msg='tails and %s <= 15!' % random_num_tail.output)
def flip_coin_graph_component():
flip = flip_coin_op()
with dsl.Condition(flip.output == 'heads'):
flip_coin_graph_component()
def my_pipeline(text: str):
with dsl.Condition(text == 'a'):
producer_task = producer_op()
dummy_op().after(producer_task)
