From ed99bf339280ea2fdc7897a05e2dac06b864667e Mon Sep 17 00:00:00 2001 From: Felix Benning Date: Thu, 4 May 2023 13:30:39 +0200 Subject: [PATCH 1/7] split into multiple files and introduce ABC --- umbridge/__init__.py | 4 +- umbridge/client.py | 128 ++++++++++++++++++++++++++++ umbridge/model.py | 39 +++++++++ umbridge/{um.py => server.py} | 152 +--------------------------------- 4 files changed, 171 insertions(+), 152 deletions(-) create mode 100644 umbridge/client.py create mode 100644 umbridge/model.py rename umbridge/{um.py => server.py} (68%) diff --git a/umbridge/__init__.py b/umbridge/__init__.py index aa59a9de..37169d98 100644 --- a/umbridge/__init__.py +++ b/umbridge/__init__.py @@ -1,2 +1,4 @@ # init file for umbridge -from .um import * \ No newline at end of file +from .model import Model +from .server import serve_models +from .client import HTTPModel, supported_models \ No newline at end of file diff --git a/umbridge/client.py b/umbridge/client.py new file mode 100644 index 00000000..38d2e160 --- /dev/null +++ b/umbridge/client.py @@ -0,0 +1,128 @@ +import requests +from .model import Model + + +def supported_models(url): + response = requests.get(f"{url}/Info").json() + if (response["protocolVersion"] != 1.0): + raise RuntimeWarning("Model has unsupported protocol version!") + return response["models"] + +class HTTPModel(Model): + def __init__(self, url, name): + super().__init__(name) + self.url = url + + if (name not in supported_models(url)): + raise Exception(f'Model {name} not supported by server! Supported models are: {supported_models(url)}') + + input = {} + input["name"] = name + response = requests.post(f"{self.url}/ModelInfo", json=input).json() + self.__supports_evaluate = response["support"].get("Evaluate", False) + self.__supports_gradient = response["support"].get("Gradient", False) + self.__supports_apply_jacobian = response["support"].get("ApplyJacobian", False) + self.__supports_apply_hessian = response["support"].get("ApplyHessian", False) + + def get_input_sizes(self, config={}): + input = {} + input["name"] = self.name + input["config"] = config + response = requests.post(f"{self.url}/InputSizes", json=input).json() + return response["inputSizes"] + + def get_output_sizes(self, config={}): + input = {} + input["name"] = self.name + input["config"] = config + response = requests.post(f"{self.url}/OutputSizes", json=input).json() + return response["outputSizes"] + + def supports_evaluate(self): + return self.__supports_evaluate + + def supports_gradient(self): + return self.__supports_gradient + + def supports_apply_jacobian(self): + return self.__supports_apply_jacobian + + def supports_apply_hessian(self): + return self.__supports_apply_hessian + + def __check_input_is_list_of_lists(self,parameters): + if not isinstance(parameters, list): + raise Exception("Parameters must be a list of lists!") + if not all(isinstance(x, list) for x in parameters): + raise Exception("Parameters must be a list of lists!") + + def __call__(self, parameters, config={}): + if not self.supports_evaluate(): + raise Exception('Evaluation not supported by model!') + self.__check_input_is_list_of_lists(parameters) + + inputParams = {} + inputParams["name"] = self.name + inputParams["input"] = parameters + inputParams["config"] = config + response = requests.post(f"{self.url}/Evaluate", json=inputParams).json() + + if "error" in response: + raise Exception(f'Model returned error of type {response["error"]["type"]}: {response["error"]["message"]}') + return response["output"] + + def gradient(self, out_wrt, in_wrt, parameters, sens, config={}): + if not self.supports_gradient(): + raise Exception('Gradient not supported by model!') + self.__check_input_is_list_of_lists(parameters) + + inputParams = {} + inputParams["name"] = self.name + inputParams["outWrt"] = out_wrt + inputParams["inWrt"] = in_wrt + inputParams["input"] = parameters + inputParams["sens"] = sens + inputParams["config"] = config + response = requests.post(f"{self.url}/Gradient", json=inputParams).json() + + if "error" in response: + raise Exception(f'Model returned error of type {response["error"]["type"]}: {response["error"]["message"]}') + return response["output"] + + def apply_jacobian(self, out_wrt, in_wrt, parameters, vec, config={}): + if not self.supports_apply_jacobian(): + raise Exception('ApplyJacobian not supported by model!') + self.__check_input_is_list_of_lists(parameters) + + inputParams = {} + inputParams["name"] = self.name + inputParams["outWrt"] = out_wrt + inputParams["inWrt"] = in_wrt + inputParams["input"] = parameters + inputParams["vec"] = vec + inputParams["config"] = config + response = requests.post(f"{self.url}/ApplyJacobian", json=inputParams).json() + + if "error" in response: + raise Exception(f'Model returned error of type {response["error"]["type"]}: {response["error"]["message"]}') + return response["output"] + + def apply_hessian(self, out_wrt, in_wrt1, in_wrt2, parameters, sens, vec, config={}): + if not self.supports_apply_hessian(): + raise Exception('ApplyHessian not supported by model!') + self.__check_input_is_list_of_lists(parameters) + + inputParams = {} + inputParams["name"] = self.name + inputParams["outWrt"] = out_wrt + inputParams["inWrt1"] = in_wrt1 + inputParams["inWrt2"] = in_wrt2 + inputParams["input"] = parameters + inputParams["sens"] = sens + inputParams["vec"] = vec + inputParams["config"] = config + response = requests.post(f"{self.url}/ApplyHessian", json=inputParams).json() + + if "error" in response: + raise Exception(f'Model returned error of type {response["error"]["type"]}: {response["error"]["message"]}') + return response["output"] \ No newline at end of file diff --git a/umbridge/model.py b/umbridge/model.py new file mode 100644 index 00000000..34653b9f --- /dev/null +++ b/umbridge/model.py @@ -0,0 +1,39 @@ +from abc import ABC, abstractmethod + +class Model(ABC): + + def __init__(self, name): + self.name = name + + @abstractmethod + def get_input_sizes(self): + raise NotImplementedError(f'You need to implement this method in {self.__class__.__name__}.') + + @abstractmethod + def get_output_sizes(self): + raise NotImplementedError(f'You need to implement this method in {self.__class__.__name__}.') + + @abstractmethod + def __call__(self, parameters, config={}): + raise NotImplementedError(f'Method called but not implemented in {self.__class__.__name__}.') + + @abstractmethod + def gradient(self, out_wrt, in_wrt, parameters, sens, config={}): + raise NotImplementedError(f'Method called but not implemented in {self.__class__.__name__}.') + + @abstractmethod + def apply_jacobian(self, out_wrt, in_wrt, parameters, vec, config={}): + raise NotImplementedError(f'Method called but not implemented in {self.__class__.__name__}.') + + @abstractmethod + def apply_hessian(self, out_wrt, in_wrt1, in_wrt2, parameters, sens, vec, config={}): + raise NotImplementedError(f'Method called but not implemented in {self.__class__.__name__}.') + + def supports_evaluate(self): + return False + def supports_gradient(self): + return False + def supports_apply_jacobian(self): + return False + def supports_apply_hessian(self): + return False \ No newline at end of file diff --git a/umbridge/um.py b/umbridge/server.py similarity index 68% rename from umbridge/um.py rename to umbridge/server.py index 7248bf17..b6929981 100755 --- a/umbridge/um.py +++ b/umbridge/server.py @@ -2,158 +2,8 @@ import requests import asyncio from concurrent.futures import ThreadPoolExecutor +from .model import Model -class Model(object): - - def __init__(self, name): - self.name = name - - def get_input_sizes(self): - raise NotImplementedError(f'You need to implement this method in {self.__class__.__name__}.') - def get_output_sizes(self): - raise NotImplementedError(f'You need to implement this method in {self.__class__.__name__}.') - def __call__(self, parameters, config={}): - raise NotImplementedError(f'Method called but not implemented in {self.__class__.__name__}.') - def gradient(self, out_wrt, in_wrt, parameters, sens, config={}): - raise NotImplementedError(f'Method called but not implemented in {self.__class__.__name__}.') - def apply_jacobian(self, out_wrt, in_wrt, parameters, vec, config={}): - raise NotImplementedError(f'Method called but not implemented in {self.__class__.__name__}.') - def apply_hessian(self, out_wrt, in_wrt1, in_wrt2, parameters, sens, vec, config={}): - raise NotImplementedError(f'Method called but not implemented in {self.__class__.__name__}.') - - def supports_evaluate(self): - return False - def supports_gradient(self): - return False - def supports_apply_jacobian(self): - return False - def supports_apply_hessian(self): - return False - -def supported_models(url): - response = requests.get(f"{url}/Info").json() - if (response["protocolVersion"] != 1.0): - raise RuntimeWarning("Model has unsupported protocol version!") - return response["models"] - -class HTTPModel(Model): - def __init__(self, url, name): - super().__init__(name) - self.url = url - - if (name not in supported_models(url)): - raise Exception(f'Model {name} not supported by server! Supported models are: {supported_models(url)}') - - input = {} - input["name"] = name - response = requests.post(f"{self.url}/ModelInfo", json=input).json() - self.__supports_evaluate = response["support"].get("Evaluate", False) - self.__supports_gradient = response["support"].get("Gradient", False) - self.__supports_apply_jacobian = response["support"].get("ApplyJacobian", False) - self.__supports_apply_hessian = response["support"].get("ApplyHessian", False) - - def get_input_sizes(self, config={}): - input = {} - input["name"] = self.name - input["config"] = config - response = requests.post(f"{self.url}/InputSizes", json=input).json() - return response["inputSizes"] - - def get_output_sizes(self, config={}): - input = {} - input["name"] = self.name - input["config"] = config - response = requests.post(f"{self.url}/OutputSizes", json=input).json() - return response["outputSizes"] - - def supports_evaluate(self): - return self.__supports_evaluate - - def supports_gradient(self): - return self.__supports_gradient - - def supports_apply_jacobian(self): - return self.__supports_apply_jacobian - - def supports_apply_hessian(self): - return self.__supports_apply_hessian - - def __check_input_is_list_of_lists(self,parameters): - if not isinstance(parameters, list): - raise Exception("Parameters must be a list of lists!") - if not all(isinstance(x, list) for x in parameters): - raise Exception("Parameters must be a list of lists!") - - def __call__(self, parameters, config={}): - if not self.supports_evaluate(): - raise Exception('Evaluation not supported by model!') - self.__check_input_is_list_of_lists(parameters) - - inputParams = {} - inputParams["name"] = self.name - inputParams["input"] = parameters - inputParams["config"] = config - response = requests.post(f"{self.url}/Evaluate", json=inputParams).json() - - if "error" in response: - raise Exception(f'Model returned error of type {response["error"]["type"]}: {response["error"]["message"]}') - return response["output"] - - def gradient(self, out_wrt, in_wrt, parameters, sens, config={}): - if not self.supports_gradient(): - raise Exception('Gradient not supported by model!') - self.__check_input_is_list_of_lists(parameters) - - inputParams = {} - inputParams["name"] = self.name - inputParams["outWrt"] = out_wrt - inputParams["inWrt"] = in_wrt - inputParams["input"] = parameters - inputParams["sens"] = sens - inputParams["config"] = config - response = requests.post(f"{self.url}/Gradient", json=inputParams).json() - - if "error" in response: - raise Exception(f'Model returned error of type {response["error"]["type"]}: {response["error"]["message"]}') - return response["output"] - - def apply_jacobian(self, out_wrt, in_wrt, parameters, vec, config={}): - if not self.supports_apply_jacobian(): - raise Exception('ApplyJacobian not supported by model!') - self.__check_input_is_list_of_lists(parameters) - - inputParams = {} - inputParams["name"] = self.name - inputParams["outWrt"] = out_wrt - inputParams["inWrt"] = in_wrt - inputParams["input"] = parameters - inputParams["vec"] = vec - inputParams["config"] = config - response = requests.post(f"{self.url}/ApplyJacobian", json=inputParams).json() - - if "error" in response: - raise Exception(f'Model returned error of type {response["error"]["type"]}: {response["error"]["message"]}') - return response["output"] - - def apply_hessian(self, out_wrt, in_wrt1, in_wrt2, parameters, sens, vec, config={}): - if not self.supports_apply_hessian(): - raise Exception('ApplyHessian not supported by model!') - self.__check_input_is_list_of_lists(parameters) - - inputParams = {} - inputParams["name"] = self.name - inputParams["outWrt"] = out_wrt - inputParams["inWrt1"] = in_wrt1 - inputParams["inWrt2"] = in_wrt2 - inputParams["input"] = parameters - inputParams["sens"] = sens - inputParams["vec"] = vec - inputParams["config"] = config - response = requests.post(f"{self.url}/ApplyHessian", json=inputParams).json() - - if "error" in response: - raise Exception(f'Model returned error of type {response["error"]["type"]}: {response["error"]["message"]}') - return response["output"] def serve_models(models, port=4242, max_workers=1): From 851e0c095d53c3765376af981c507dde02914bcf Mon Sep 17 00:00:00 2001 From: Felix Benning Date: Thu, 4 May 2023 13:33:22 +0200 Subject: [PATCH 2/7] remove unused imports --- umbridge/server.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/umbridge/server.py b/umbridge/server.py index b6929981..89537fa4 100755 --- a/umbridge/server.py +++ b/umbridge/server.py @@ -1,8 +1,6 @@ from aiohttp import web -import requests import asyncio from concurrent.futures import ThreadPoolExecutor -from .model import Model def serve_models(models, port=4242, max_workers=1): From 77cb555d3af1f2ddfe17f65518e7362aa83e26b3 Mon Sep 17 00:00:00 2001 From: Felix Benning Date: Fri, 5 May 2023 09:33:17 +0200 Subject: [PATCH 3/7] move everything into python folder --- python/poetry.lock | 1483 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It is primarily intended for coupling advanced models (e.g. simulations of complex physical processes) to advanced statistical or optimization methods." +authors = ["Your Name "] +readme = "README.md" +packages = [{include = "umbridge"}] + +[tool.poetry.dependencies] +python = "^3.10" +litestar = "^2.0.0a5" +requests = "^2.30.0" +numpy = "^1.24.3" +pytensor = "^2.11.2" +aiohttp = "^3.8.4" + + +[tool.poetry.group.dev.dependencies] +black = "^23.3.0" +pytest = "^7.3.1" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/setup.py b/python/setup.py similarity index 100% rename from setup.py rename to python/setup.py diff --git a/umbridge/__init__.py b/python/umbridge/__init__.py similarity index 100% rename from umbridge/__init__.py rename to python/umbridge/__init__.py diff --git a/umbridge/client.py b/python/umbridge/client.py similarity index 100% rename from umbridge/client.py rename to python/umbridge/client.py diff --git a/umbridge/model.py b/python/umbridge/model.py similarity index 100% rename from umbridge/model.py rename to python/umbridge/model.py diff --git a/umbridge/pymc.py b/python/umbridge/pymc.py similarity index 100% rename from umbridge/pymc.py rename to python/umbridge/pymc.py diff --git a/umbridge/server.py b/python/umbridge/server.py similarity index 100% rename from umbridge/server.py rename to python/umbridge/server.py From 55f994bbcc20691a5707d5db1e8fde1e8cea2ced Mon Sep 17 00:00:00 2001 From: Felix Benning Date: Fri, 5 May 2023 09:57:35 +0200 Subject: [PATCH 4/7] sketch autoumbridge idea --- python/umbridge/autoumbridge.py | 12 ++++++++++++ 1 file changed, 12 insertions(+) create mode 100644 python/umbridge/autoumbridge.py diff --git a/python/umbridge/autoumbridge.py b/python/umbridge/autoumbridge.py new file mode 100644 index 00000000..afd456a1 --- /dev/null +++ b/python/umbridge/autoumbridge.py @@ -0,0 +1,12 @@ +from .model import Model +import functools as ft + +def make_umbridge_model(func): + @ft.wraps(func) + class Wrapper(Model): + def __call__(self, *args, **kwargs): + return func(*args, **kwargs) + + + + return Wrapper(func.__name__) \ No newline at end of file From 058d75257050460f00a2cc000dc35c2a8871a87c Mon Sep 17 00:00:00 2001 From: Felix Benning Date: Fri, 5 May 2023 17:29:38 +0200 Subject: [PATCH 5/7] autoumbridge --- python/README.md | 0 python/poetry.lock | 1546 ++++++++++++++++------------- python/pyproject.toml | 2 + python/tests/__init__.py | 0 python/tests/autoumbridge_test.py | 8 + python/umbridge/autoumbridge.py | 49 +- python/umbridge/model.py | 9 +- 7 files changed, 886 insertions(+), 728 deletions(-) create mode 100644 python/README.md create mode 100644 python/tests/__init__.py create mode 100644 python/tests/autoumbridge_test.py diff --git a/python/README.md b/python/README.md new file mode 100644 index 00000000..e69de29b diff --git a/python/poetry.lock b/python/poetry.lock index 081400ce..ae3e5dd9 100644 --- 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-[package.dependencies] -idna = ">=2.0" -multidict = ">=4.0" - -[metadata] -lock-version = "2.0" -python-versions = "^3.10" -content-hash = "42f6eee626d555fb197c1f63783c4ebc19f422abc51c62723c600d0c86f84a63" diff --git a/python/pyproject.toml b/python/pyproject.toml index 6b815ff8..d7794693 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -13,6 +13,8 @@ requests = "^2.30.0" numpy = "^1.24.3" pytensor = "^2.11.2" aiohttp = "^3.8.4" +jax = "^0.4.8" +jaxlib = "^0.4.7" [tool.poetry.group.dev.dependencies] diff --git a/python/tests/__init__.py b/python/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/python/tests/autoumbridge_test.py b/python/tests/autoumbridge_test.py new file mode 100644 index 00000000..04b67649 --- /dev/null +++ b/python/tests/autoumbridge_test.py @@ -0,0 +1,8 @@ +from umbridge.autoumbridge import autoUm + +def test_wrapper(): + @autoUm(use_jax=True) + def f(x): + x**2 + + f(2) \ No newline at end of file diff --git a/python/umbridge/autoumbridge.py b/python/umbridge/autoumbridge.py index afd456a1..91258ad9 100644 --- a/python/umbridge/autoumbridge.py +++ b/python/umbridge/autoumbridge.py @@ -1,12 +1,49 @@ from .model import Model -import functools as ft +from functools import update_wrapper +from jax import grad + + +def autoUm(use_jax=True): + class UmbridgeModel(Model): + def __init__(self, wrapped_model): + super().__init__(wrapped_model.__name__) + self.wrapped_model = wrapped_model + update_wrapper(self, wrapped_model) -def make_umbridge_model(func): - @ft.wraps(func) - class Wrapper(Model): def __call__(self, *args, **kwargs): - return func(*args, **kwargs) + return self.wrapped_model(*args, **kwargs) + def get_input_sizes(self): + return super().get_input_sizes() + def get_output_sizes(self): + return super().get_output_sizes() + + if use_jax: + def gradient(self, out_wrt, in_wrt, parameters, sens, config={}): + return grad(self.wrapped_model) + + def apply_jacobian(self, out_wrt, in_wrt, parameters, vec, config=...): + raise NotImplementedError(f"Method called but not implemented in {self.__class__.__name__}") + + def apply_hessian(self, out_wrt, in_wrt1, in_wrt2, parameters, sens, vec, config={}): + raise NotImplementedError(f'Method called but not implemented in {self.__class__.__name__}.') + + def supports_evaluate(self): + return True + def supports_gradient(self): + return True + def supports_apply_jacobian(self): + return True + def supports_apply_hessian(self): + return True + + return UmbridgeModel + +if __name__ == "__main__": + + @autoUm() + def f(x): + x**2 - return Wrapper(func.__name__) \ No newline at end of file + f(2) \ No newline at end of file diff --git a/python/umbridge/model.py b/python/umbridge/model.py index 34653b9f..35ef32a9 100644 --- a/python/umbridge/model.py +++ b/python/umbridge/model.py @@ -7,25 +7,22 @@ def __init__(self, name): @abstractmethod def get_input_sizes(self): - raise NotImplementedError(f'You need to implement this method in {self.__class__.__name__}.') + return @abstractmethod def get_output_sizes(self): - raise NotImplementedError(f'You need to implement this method in {self.__class__.__name__}.') + return @abstractmethod def __call__(self, parameters, config={}): - raise NotImplementedError(f'Method called but not implemented in {self.__class__.__name__}.') + return - @abstractmethod def gradient(self, out_wrt, in_wrt, parameters, sens, config={}): raise NotImplementedError(f'Method called but not implemented in {self.__class__.__name__}.') - @abstractmethod def apply_jacobian(self, out_wrt, in_wrt, parameters, vec, config={}): raise NotImplementedError(f'Method called but not implemented in {self.__class__.__name__}.') - @abstractmethod def apply_hessian(self, out_wrt, in_wrt1, in_wrt2, parameters, sens, vec, config={}): raise NotImplementedError(f'Method called but not implemented in {self.__class__.__name__}.') From 2bfcf4d60ccb38707fdacd3ed8addd0761ed3bf9 Mon Sep 17 00:00:00 2001 From: Felix Benning Date: Fri, 5 May 2023 17:32:06 +0200 Subject: [PATCH 6/7] test serving --- python/tests/autoumbridge_test.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/python/tests/autoumbridge_test.py b/python/tests/autoumbridge_test.py index 04b67649..60ada036 100644 --- a/python/tests/autoumbridge_test.py +++ b/python/tests/autoumbridge_test.py @@ -1,8 +1,13 @@ from umbridge.autoumbridge import autoUm +from umbridge import serve_models def test_wrapper(): @autoUm(use_jax=True) def f(x): x**2 + + serve_models([f]) - f(2) \ No newline at end of file + +if __name__ == "__main__": + test_wrapper() \ No newline at end of file From 5efc8eae88e48d02d5405e0de0498ef53e988e96 Mon Sep 17 00:00:00 2001 From: Felix Benning Date: Fri, 5 May 2023 17:41:19 +0200 Subject: [PATCH 7/7] better tests --- python/tests/autoumbridge_test.py | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/python/tests/autoumbridge_test.py b/python/tests/autoumbridge_test.py index 60ada036..e24995fa 100644 --- a/python/tests/autoumbridge_test.py +++ b/python/tests/autoumbridge_test.py @@ -1,13 +1,17 @@ from umbridge.autoumbridge import autoUm from umbridge import serve_models +@autoUm(use_jax=True) +def f(x): + return x**2 + def test_wrapper(): - @autoUm(use_jax=True) - def f(x): - x**2 + assert f(2) == 4 + + # assert f.gradient(1) == 2 + - serve_models([f]) if __name__ == "__main__": - test_wrapper() \ No newline at end of file + serve_models([f]) \ No newline at end of file