Add one more synthetic env

This commit is contained in:
D-X-Y 2021-05-09 18:37:37 +08:00
parent 34560ad8d1
commit 853a702926
5 changed files with 100 additions and 14 deletions

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@ -5,7 +5,7 @@ from .get_dataset_with_transform import get_datasets, get_nas_search_loaders
from .SearchDatasetWrap import SearchDataset
from .math_base_funcs import QuadraticFunc, CubicFunc, QuarticFunc
from .math_dynamic_funcs import DynamicQuadraticFunc
from .math_dynamic_funcs import DynamicQuadraticFunc, DynamicLinearFunc
from .math_adv_funcs import ConstantFunc
from .math_adv_funcs import ComposedSinFunc

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@ -59,18 +59,24 @@ class ComposedSinFunc(FitFunc):
max_amplitude = kwargs.get("max_amplitude", 4)
phase_shift = kwargs.get("phase_shift", 0.0)
# create parameters
amplitude_scale = QuadraticFunc(
[(0, min_amplitude), (0.5, max_amplitude), (1, min_amplitude)]
)
fitting_data = []
temp_max_scalar = 2 ** (num_sin_phase - 1)
for i in range(num_sin_phase):
value = (2 ** i) / temp_max_scalar
next_value = (2 ** (i + 1)) / temp_max_scalar
for _phase in (0, 0.25, 0.5, 0.75):
inter_value = value + (next_value - value) * _phase
fitting_data.append((inter_value, math.pi * (2 * i + _phase)))
period_phase_shift = QuarticFunc(fitting_data)
if kwargs.get("amplitude_scale", None) is None:
amplitude_scale = QuadraticFunc(
[(0, min_amplitude), (0.5, max_amplitude), (1, min_amplitude)]
)
else:
amplitude_scale = kwargs.get("amplitude_scale")
if kwargs.get("period_phase_shift", None) is None:
fitting_data = []
temp_max_scalar = 2 ** (num_sin_phase - 1)
for i in range(num_sin_phase):
value = (2 ** i) / temp_max_scalar
next_value = (2 ** (i + 1)) / temp_max_scalar
for _phase in (0, 0.25, 0.5, 0.75):
inter_value = value + (next_value - value) * _phase
fitting_data.append((inter_value, math.pi * (2 * i + _phase)))
period_phase_shift = QuarticFunc(fitting_data)
else:
period_phase_shift = kwargs.get("period_phase_shift")
self.set(
dict(amplitude_scale=amplitude_scale, period_phase_shift=period_phase_shift)
)

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@ -37,6 +37,33 @@ class DynamicFunc(FitFunc):
return noise_y
class DynamicLinearFunc(DynamicFunc):
"""The dynamic linear function that outputs f(x) = a * x + b.
The a and b is a function of timestamp.
"""
def __init__(self, params=None):
super(DynamicLinearFunc, self).__init__(3, params)
def __call__(self, x, timestamp=None):
self.check_valid()
if timestamp is None:
timestamp = self._timestamp
a = self._params[0](timestamp)
b = self._params[1](timestamp)
convert_fn = lambda x: x[-1] if isinstance(x, (tuple, list)) else x
a, b = convert_fn(a), convert_fn(b)
return a * x + b
def __repr__(self):
return "{name}({a} * x + {b}, timestamp={timestamp})".format(
name=self.__class__.__name__,
a=self._params[0],
b=self._params[1],
timestamp=self._timestamp,
)
class DynamicQuadraticFunc(DynamicFunc):
"""The dynamic quadratic function that outputs f(x) = a * x^2 + b * x + c.
The a, b, and c is a function of timestamp.

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@ -3,11 +3,20 @@
#####################################################
import copy
from .math_dynamic_funcs import DynamicQuadraticFunc
from .math_dynamic_funcs import DynamicLinearFunc, DynamicQuadraticFunc
from .math_adv_funcs import ConstantFunc, ComposedSinFunc
from .synthetic_env import SyntheticDEnv
def create_example(timestamp_config=None, num_per_task=5000, indicator="v1"):
if indicator == "v1":
return create_example_v1(timestamp_config, num_per_task)
elif indicator == "v2":
return create_example_v2(timestamp_config, num_per_task)
else:
raise ValueError("Unkonwn indicator: {:}".format(indicator))
def create_example_v1(
timestamp_config=None,
num_per_task=5000,
@ -35,3 +44,29 @@ def create_example_v1(
dynamic_env.set_oracle_map(copy.deepcopy(function))
return dynamic_env, function
def create_example_v2(
timestamp_config=None,
num_per_task=5000,
):
mean_generator = ConstantFunc(0)
std_generator = ConstantFunc(1)
dynamic_env = SyntheticDEnv(
[mean_generator],
[[std_generator]],
num_per_task=num_per_task,
timestamp_config=timestamp_config,
)
function = DynamicLinearFunc()
function_param = dict()
function_param[0] = ComposedSinFunc(
amplitude_scale=ConstantFunc(1.0), period_phase_shift=ConstantFunc(1.0)
)
function_param[1] = ConstantFunc(constant=0.9)
function.set(function_param)
dynamic_env.set_oracle_map(copy.deepcopy(function))
return dynamic_env, function

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@ -15,6 +15,7 @@ if str(lib_dir) not in sys.path:
from datasets import QuadraticFunc
from datasets import ConstantFunc
from datasets import DynamicLinearFunc
from datasets import DynamicQuadraticFunc
from datasets import ComposedSinFunc
@ -50,3 +51,20 @@ class TestDynamicFunc(unittest.TestCase):
function.set_timestamp(1)
print(function(2))
def test_simple_linear(self):
timestamps = 30
function = DynamicLinearFunc()
function_param = dict()
function_param[0] = ComposedSinFunc(
num=timestamps, num_sin_phase=4, phase_shift=1.0, max_amplitude=1.0
)
function_param[1] = ConstantFunc(constant=0.9)
function.set(function_param)
print(function)
with self.assertRaises(TypeError) as context:
function(0)
function.set_timestamp(1)
print(function(2))