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feat: add support for numpy.sum and numpy.concatenate

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Umut
2022-02-11 09:52:38 +03:00
parent 80dab677b1
commit 99f52acd98
9 changed files with 801 additions and 203 deletions
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95
concrete/common/mlir/node_converter.py
View File

@@ -12,6 +12,7 @@ from mlir.dialects import arith, linalg, tensor
from mlir.ir import (
ArrayAttr,
Attribute,
BoolAttr,
Context,
DenseElementsAttr,
IndexType,
@@ -37,7 +38,7 @@ from ..representation.intermediate import (
Sub,
)
from ..values import TensorValue
from .conversion_helpers import value_to_mlir_type
from .conversion_helpers import integer_to_mlir_type, value_to_mlir_type
# pylint: enable=no-name-in-module
@@ -120,6 +121,10 @@ class IntermediateNodeConverter:
if self.node.op_name in ["flatten", "reshape"]:
# notice flatten() == reshape(-1) and convert_reshape can handle that
result = self.convert_reshape()
elif self.node.op_name == "sum":
result = self.convert_sum()
elif self.node.op_name == "concat":
result = self.convert_concat()
else:
result = self.convert_generic_function(additional_conversion_info)
@@ -188,6 +193,61 @@ class IntermediateNodeConverter:
return result
def convert_concat(self) -> OpResult:
"""Convert a "concat" node to its corresponding MLIR representation.
Returns:
str: textual MLIR representation corresponding to self.node
"""
assert_true(len(self.node.inputs) >= 2)
assert_true(len(self.node.outputs) == 1)
node = cast(GenericFunction, self.node)
resulting_type = value_to_mlir_type(self.ctx, self.node.outputs[0])
axis = node.op_kwargs.get("axis", 0)
if axis is not None:
if axis < 0:
axis += len(cast(TensorValue, self.node.inputs[0]).shape)
return fhelinalg.ConcatOp(
resulting_type,
self.preds,
IntegerAttr.get(IntegerType.get_signless(64), axis),
).result
flattened_preds = []
for pred, input_value in zip(self.preds, self.node.inputs):
input_shape = cast(TensorValue, input_value).shape
input_size = numpy.prod(input_shape)
input_dtype = cast(Integer, input_value.dtype)
flattened_pred_type = RankedTensorType.get(
[input_size],
integer_to_mlir_type(self.ctx, input_dtype, input_value.is_encrypted),
)
flattened_pred = linalg.TensorCollapseShapeOp(
flattened_pred_type,
pred,
ArrayAttr.get(
[
ArrayAttr.get(
[
IntegerAttr.get(IndexType.parse("index"), i)
for i in range(len(input_shape))
]
)
]
),
).result
flattened_preds.append(flattened_pred)
return fhelinalg.ConcatOp(
resulting_type,
flattened_preds,
IntegerAttr.get(IntegerType.get_signless(64), 0),
).result
def convert_constant(self) -> OpResult:
"""Convert a Constant node to its corresponding MLIR representation.
@@ -655,3 +715,36 @@ class IntermediateNodeConverter:
result = fhe.SubIntEintOp(resulting_type, *preds).result
return result
def convert_sum(self) -> OpResult:
"""Convert a "sum" node to its corresponding MLIR representation.
Returns:
str: textual MLIR representation corresponding to self.node
"""
assert_true(len(self.node.inputs) == 1)
assert_true(len(self.node.outputs) == 1)
node = cast(GenericFunction, self.node)
resulting_type = value_to_mlir_type(self.ctx, self.node.outputs[0])
axes = node.op_kwargs.get("axis", [])
keep_dims = node.op_kwargs.get("keepdims", False)
if isinstance(axes, int):
axes = [axes]
elif isinstance(axes, tuple):
axes = list(axes)
input_dimensions = len(cast(TensorValue, self.node.inputs[0]).shape)
for i, axis in enumerate(axes):
if axis < 0:
axes[i] += input_dimensions
return fhelinalg.SumOp(
resulting_type,
self.preds[0],
ArrayAttr.get([IntegerAttr.get(IntegerType.get_signless(64), axis) for axis in axes]),
BoolAttr.get(keep_dims),
).result

2
concrete/common/mlir/utils.py
View File

@@ -89,7 +89,7 @@ def check_node_compatibility_with_mlir(
== 1
)
else:
if node.op_name not in ["flatten", "reshape"]:
if node.op_name not in ["flatten", "reshape", "sum", "concat"]:
return f"{node.op_name} is not supported for the time being"
elif isinstance(node, intermediate.Dot): # constraints for dot product

7
concrete/common/representation/intermediate.py
View File

@@ -353,7 +353,10 @@ class GenericFunction(IntermediateNode):
self.op_name = op_name if op_name is not None else self.__class__.__name__
def text_for_formatting(self, predecessors: List[str], maximum_constant_length: int) -> str:
all_args = deepcopy(predecessors)
if self.op_name == "concat":
all_args = ["(" + ", ".join(predecessors) + ")"]
else:
all_args = deepcopy(predecessors)
all_args.extend(format_constant(value, maximum_constant_length) for value in self.op_args)
all_args.extend(
@@ -371,6 +374,8 @@ class GenericFunction(IntermediateNode):
# This is the continuation of the mypy bug workaround
assert self.arbitrary_func is not None
ordered_inputs = [inputs[idx] for idx in range(len(inputs))]
if self.op_name == "concat":
return self.arbitrary_func(tuple(ordered_inputs), *self.op_args, **self.op_kwargs)
return self.arbitrary_func(*ordered_inputs, *self.op_args, **self.op_kwargs)
def get_table(self, ordered_preds: List[IntermediateNode]) -> List[Any]:

5
concrete/common/tracing/base_tracer.py
View File

@@ -100,7 +100,10 @@ class BaseTracer(ABC):
return cls._mix_values_func
def _sanitize(self, inp) -> "BaseTracer":
if not isinstance(inp, BaseTracer):
if not isinstance(inp, BaseTracer) and not (
isinstance(inp, Tuple) # type: ignore
and all(isinstance(item, BaseTracer) for item in inp) # type: ignore
):
return self._make_const_input_tracer(inp)
return inp

126
concrete/numpy/tracing.py
View File

@@ -61,7 +61,7 @@ class NPTracer(BaseTracer):
"""
tracing_func = self.get_tracing_func_for_np_function(func)
assert_true(
(len(kwargs) == 0),
(tracing_func in [NPTracer.numpy_sum, NPTracer.numpy_concatenate]) or len(kwargs) == 0,
f"**kwargs are currently not supported for numpy functions, func: {func}",
)
@@ -464,6 +464,128 @@ class NPTracer(BaseTracer):
)
return output_tracer
def numpy_sum(self, inp: "NPTracer", **kwargs) -> "NPTracer":
"""Trace numpy.sum.
Returns:
NPTracer: The output NPTracer containing the traced function
"""
input_value = inp.output
def supported(value):
if not value.is_encrypted or not isinstance(input_value, TensorValue):
return False
value = cast(TensorValue, value)
if value.shape == ():
return False
return True
if not supported(input_value):
raise ValueError(
f"only encrypted tensor sum is supported but you tried to sum {input_value}"
)
try:
# calculate a newshape using numpy to handle all cases
newshape = numpy.sum(numpy.zeros(input_value.shape), **kwargs).shape # type: ignore
except Exception as error:
raise ValueError(
f"invalid sum on {input_value} with "
f"{', '.join('='.join([key, str(value)]) for key, value in kwargs.items())}"
) from error
output_value = TensorValue(
input_value.dtype,
input_value.is_encrypted,
newshape,
)
traced_computation = GenericFunction(
inputs=[input_value],
arbitrary_func=numpy.sum,
output_value=output_value,
op_kind="Memory",
op_kwargs=kwargs,
op_name="sum",
op_attributes={"fusable": False},
)
output_tracer = self.__class__(
[inp],
traced_computation=traced_computation,
output_idx=0,
)
return output_tracer
def numpy_concatenate(self, inputs: Tuple["NPTracer", ...], **kwargs) -> "NPTracer":
"""Trace numpy.concatenate.
Returns:
NPTracer: The output NPTracer containing the traced function
"""
input_values = [tracer.output for tracer in inputs]
def supported(values):
if any(
not value.is_encrypted or not isinstance(value, TensorValue) for value in values
):
return False
values = [cast(TensorValue, value) for value in values]
if any(value.shape == () for value in values):
return False
return True
if not supported(input_values):
raise ValueError(
f"only encrypted tensor concatenation is supported "
f"but you tried to concatenate "
f"{', '.join(str(input_value) for input_value in input_values)}"
)
input_tensor_values = [cast(TensorValue, value) for value in input_values]
try:
# calculate a newshape using numpy to handle all cases
sample = tuple(numpy.zeros(input_value.shape) for input_value in input_tensor_values)
newshape = numpy.concatenate(sample, **kwargs).shape
except Exception as error:
kwarg_info = ""
if len(kwargs) != 0:
kwarg_info += " with "
kwarg_info += ", ".join(
"=".join([key, str(value)]) for key, value in kwargs.items()
)
raise ValueError(
f"invalid concatenation of "
f"{', '.join(str(input_value) for input_value in input_values)}{kwarg_info}"
) from error
output_value = TensorValue(
input_tensor_values[0].dtype,
input_tensor_values[0].is_encrypted,
newshape,
)
traced_computation = GenericFunction(
inputs=input_values,
arbitrary_func=numpy.concatenate,
output_value=output_value,
op_kind="Memory",
op_kwargs=kwargs,
op_name="concat",
op_attributes={"fusable": False},
)
output_tracer = self.__class__(
list(inputs),
traced_computation=traced_computation,
output_idx=0,
)
return output_tracer
def __getitem__(self, item):
if isinstance(item, tuple):
item = tuple(process_indexing_element(indexing_element) for indexing_element in item)
@@ -581,6 +703,8 @@ class NPTracer(BaseTracer):
numpy.reshape: numpy_reshape,
numpy.ravel: numpy_ravel,
numpy.clip: numpy_clip,
numpy.sum: numpy_sum,
numpy.concatenate: numpy_concatenate,
}

10
deps_licenses/licenses_linux_user.txt
View File

@@ -1,16 +1,16 @@
Name Version License
Pillow 9.0.0 Historical Permission Notice and Disclaimer (HPND)
Pillow 9.0.1 Historical Permission Notice and Disclaimer (HPND)
PyYAML 6.0 MIT License
concrete-compiler 0.1.2 BSD-3
concrete-compiler 0.2.0 BSD-3
cycler 0.11.0 BSD License
fonttools 4.29.0 MIT License
fonttools 4.29.1 MIT License
kiwisolver 1.3.2 BSD License
loguru 0.5.3 MIT License
matplotlib 3.5.1 Python Software Foundation License
networkx 2.6.3 BSD License
numpy 1.22.1 BSD License
numpy 1.22.2 BSD License
packaging 21.3 Apache Software License; BSD License
pygraphviz 1.8 BSD License
pygraphviz 1.9 BSD License
pyparsing 3.0.7 MIT License
python-dateutil 2.8.2 Apache Software License; BSD License
setuptools-scm 6.4.2 MIT License

376
poetry.lock generated
View File

@@ -202,7 +202,7 @@ pycparser = "*"
[[package]]
name = "charset-normalizer"
version = "2.0.10"
version = "2.0.12"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
category = "dev"
optional = false
@@ -243,7 +243,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
[[package]]
name = "concrete-compiler"
version = "0.1.2"
version = "0.2.0"
description = "Concrete Compiler"
category = "main"
optional = false
@@ -255,7 +255,7 @@ PyYAML = "*"
[[package]]
name = "coverage"
version = "6.3"
version = "6.3.1"
description = "Code coverage measurement for Python"
category = "dev"
optional = false
@@ -353,11 +353,11 @@ setuptools_scm = "*"
[[package]]
name = "entrypoints"
version = "0.3"
version = "0.4"
description = "Discover and load entry points from installed packages."
category = "dev"
optional = false
python-versions = ">=2.7"
python-versions = ">=3.6"
[[package]]
name = "execnet"
@@ -408,7 +408,7 @@ dev = ["coverage", "hypothesis", "hypothesmith (>=0.2)", "pre-commit"]
[[package]]
name = "fonttools"
version = "4.29.0"
version = "4.29.1"
description = "Tools to manipulate font files"
category = "main"
optional = false
@@ -485,7 +485,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[[package]]
name = "importlib-metadata"
version = "4.10.1"
version = "4.11.1"
description = "Read metadata from Python packages"
category = "dev"
optional = false
@@ -497,7 +497,7 @@ zipp = ">=0.5"
[package.extras]
docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
perf = ["ipython"]
testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"]
testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "importlib-resources (>=1.3)"]
[[package]]
name = "importlib-resources"
@@ -532,7 +532,7 @@ python-versions = "*"
[[package]]
name = "ipykernel"
version = "6.7.0"
version = "6.9.1"
description = "IPython Kernel for Jupyter"
category = "dev"
optional = false
@@ -743,7 +743,7 @@ test = ["pexpect"]
[[package]]
name = "jupyter-core"
version = "4.9.1"
version = "4.9.2"
description = "Jupyter core package. A base package on which Jupyter projects rely."
category = "dev"
optional = false
@@ -975,7 +975,7 @@ testing = ["beautifulsoup4", "coverage", "docutils (>=0.17.0,<0.18.0)", "pytest
[[package]]
name = "nbclient"
version = "0.5.10"
version = "0.5.11"
description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
category = "dev"
optional = false
@@ -989,11 +989,11 @@ traitlets = ">=4.2"
[package.extras]
sphinx = ["Sphinx (>=1.7)", "sphinx-book-theme", "mock", "moto", "myst-parser"]
test = ["ipython", "ipykernel", "ipywidgets (<8.0.0)", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "xmltodict", "black", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)"]
test = ["ipython (<8.0.0)", "ipykernel", "ipywidgets (<8.0.0)", "pytest (>=4.1)", "pytest-asyncio", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "xmltodict", "black", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)"]
[[package]]
name = "nbconvert"
version = "6.4.0"
version = "6.4.2"
description = "Converting Jupyter Notebooks"
category = "dev"
optional = false
@@ -1015,11 +1015,11 @@ testpath = "*"
traitlets = ">=5.0"
[package.extras]
all = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.6)", "tornado (>=4.0)", "sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
all = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (>=1,<1.1)", "tornado (>=4.0)", "sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
docs = ["sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
serve = ["tornado (>=4.0)"]
test = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (==0.2.6)"]
webpdf = ["pyppeteer (==0.2.6)"]
test = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (>=1,<1.1)"]
webpdf = ["pyppeteer (>=1,<1.1)"]
[[package]]
name = "nbformat"
@@ -1126,7 +1126,7 @@ test = ["pytest", "coverage", "requests", "nbval", "selenium", "pytest-cov", "re
[[package]]
name = "numpy"
version = "1.22.1"
version = "1.22.2"
description = "NumPy is the fundamental package for array computing with Python."
category = "main"
optional = false
@@ -1134,14 +1134,14 @@ python-versions = ">=3.8"
[[package]]
name = "packageurl-python"
version = "0.9.6"
version = "0.9.9"
description = "A purl aka. Package URL parser and builder"
category = "dev"
optional = false
python-versions = ">=3.6"
[package.extras]
test = ["pytest", "isort"]
test = ["isort", "pytest"]
[[package]]
name = "packaging"
@@ -1203,7 +1203,7 @@ python-versions = "*"
[[package]]
name = "pillow"
version = "9.0.0"
version = "9.0.1"
description = "Python Imaging Library (Fork)"
category = "main"
optional = false
@@ -1211,11 +1211,11 @@ python-versions = ">=3.7"
[[package]]
name = "pip-api"
version = "0.0.26"
version = "0.0.27"
description = "An unofficial, importable pip API"
category = "dev"
optional = false
python-versions = ">=3.6"
python-versions = ">=3.7"
[[package]]
name = "pip-audit"
@@ -1264,7 +1264,7 @@ testing = ["coverage", "nose"]
[[package]]
name = "platformdirs"
version = "2.4.1"
version = "2.5.0"
description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
category = "dev"
optional = false
@@ -1296,7 +1296,7 @@ python-versions = "*"
[[package]]
name = "prometheus-client"
version = "0.13.0"
version = "0.13.1"
description = "Python client for the Prometheus monitoring system."
category = "dev"
optional = false
@@ -1307,7 +1307,7 @@ twisted = ["twisted"]
[[package]]
name = "prompt-toolkit"
version = "3.0.24"
version = "3.0.28"
description = "Library for building powerful interactive command lines in Python"
category = "dev"
optional = false
@@ -1459,11 +1459,11 @@ pygments = ">=1.5"
[[package]]
name = "pygraphviz"
version = "1.8"
version = "1.9"
description = "Python interface to Graphviz"
category = "main"
optional = true
python-versions = ">=3.7"
python-versions = ">=3.8"
[[package]]
name = "pylint"
@@ -1680,7 +1680,7 @@ python-versions = "*"
[[package]]
name = "pywinpty"
version = "2.0.1"
version = "2.0.2"
description = "Pseudo terminal support for Windows from Python."
category = "dev"
optional = false
@@ -1730,7 +1730,7 @@ test = ["flaky", "pytest", "pytest-qt"]
[[package]]
name = "qtpy"
version = "2.0.0"
version = "2.0.1"
description = "Provides an abstraction layer on top of the various Qt bindings (PyQt5/6 and PySide2/6)."
category = "dev"
optional = false
@@ -1740,7 +1740,7 @@ python-versions = ">=3.6"
packaging = "*"
[package.extras]
test = ["pytest (>=6.0.0,<7.0)", "pytest-cov (>=2.11.0)"]
test = ["pytest (>=6.0.0)", "pytest-cov (>=3.0.0)", "pytest-qt"]
[[package]]
name = "readme-renderer"
@@ -2027,7 +2027,7 @@ test = ["pytest"]
[[package]]
name = "stack-data"
version = "0.1.4"
version = "0.2.0"
description = "Extract data from python stack frames and tracebacks for informative displays"
category = "dev"
optional = false
@@ -2039,7 +2039,7 @@ executing = "*"
pure-eval = "*"
[package.extras]
tests = ["pytest", "typeguard", "pygments", "littleutils"]
tests = ["pytest", "typeguard", "pygments", "littleutils", "cython"]
[[package]]
name = "tabulate"
@@ -2062,11 +2062,11 @@ python-versions = "*"
[[package]]
name = "terminado"
version = "0.12.1"
version = "0.13.1"
description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
category = "dev"
optional = false
python-versions = ">=3.6"
python-versions = ">=3.7"
[package.dependencies]
ptyprocess = {version = "*", markers = "os_name != \"nt\""}
@@ -2148,7 +2148,7 @@ test = ["pytest"]
[[package]]
name = "twine"
version = "3.7.1"
version = "3.8.0"
description = "Collection of utilities for publishing packages on PyPI"
category = "dev"
optional = false
@@ -2164,10 +2164,11 @@ requests = ">=2.20"
requests-toolbelt = ">=0.8.0,<0.9.0 || >0.9.0"
rfc3986 = ">=1.4.0"
tqdm = ">=4.14"
urllib3 = ">=1.26.0"
[[package]]
name = "types-setuptools"
version = "57.4.7"
version = "57.4.9"
description = "Typing stubs for setuptools"
category = "dev"
optional = false
@@ -2175,7 +2176,7 @@ python-versions = "*"
[[package]]
name = "types-toml"
version = "0.10.3"
version = "0.10.4"
description = "Typing stubs for toml"
category = "dev"
optional = false
@@ -2183,7 +2184,7 @@ python-versions = "*"
[[package]]
name = "typing-extensions"
version = "4.0.1"
version = "4.1.1"
description = "Backported and Experimental Type Hints for Python 3.6+"
category = "dev"
optional = false
@@ -2267,7 +2268,7 @@ full = ["pygraphviz"]
[metadata]
lock-version = "1.1"
python-versions = ">=3.8,<3.10"
content-hash = "70a6a696538026ddba976c0d8dcb191ce48d42a2c822b0e6a9cb1778b9b9c03f"
content-hash = "c46630b3a44a45815631ebc5f42ef77b14b4648cccce3405231597465b316884"
[metadata.files]
alabaster = [
@@ -2402,8 +2403,8 @@ cffi = [
{file = "cffi-1.15.0.tar.gz", hash = "sha256:920f0d66a896c2d99f0adbb391f990a84091179542c205fa53ce5787aff87954"},
]
charset-normalizer = [
{file = "charset-normalizer-2.0.10.tar.gz", hash = "sha256:876d180e9d7432c5d1dfd4c5d26b72f099d503e8fcc0feb7532c9289be60fcbd"},
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{file = "pywinpty-2.0.2.tar.gz", hash = "sha256:20ec117183f79642eff555ce0dd1823f942618d65813fb6122d14b6e34b5d05a"},
]
pyyaml = [
{file = "PyYAML-6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d4db7c7aef085872ef65a8fd7d6d09a14ae91f691dec3e87ee5ee0539d516f53"},
@@ -3414,8 +3412,8 @@ qtconsole = [
{file = "qtconsole-5.2.2.tar.gz", hash = "sha256:8f9db97b27782184efd0a0f2d57ea3bd852d053747a2e442a9011329c082976d"},
]
qtpy = [
{file = "QtPy-2.0.0-py3-none-any.whl", hash = "sha256:74bf26be3288aadc843cf3381d5ef0b82f11417ecdcbf26718a408f32590f1ac"},
{file = "QtPy-2.0.0.tar.gz", hash = "sha256:777e333df4d711b2ec9743117ab319dadfbd743a5a0eee35923855ca3d35cd9d"},
{file = "QtPy-2.0.1-py3-none-any.whl", hash = "sha256:d93f2c98e97387fcc9d623d509772af5b6c15ab9d8f9f4c5dfbad9a73ad34812"},
{file = "QtPy-2.0.1.tar.gz", hash = "sha256:adfd073ffbd2de81dc7aaa0b983499ef5c59c96adcfdcc9dea60d42ca885eb8f"},
]
readme-renderer = [
{file = "readme_renderer-32.0-py3-none-any.whl", hash = "sha256:a50a0f2123a4c1145ac6f420e1a348aafefcc9211c846e3d51df05fe3d865b7d"},
@@ -3505,8 +3503,8 @@ sphinxcontrib-serializinghtml = [
{file = "sphinxcontrib_serializinghtml-1.1.5-py2.py3-none-any.whl", hash = "sha256:352a9a00ae864471d3a7ead8d7d79f5fc0b57e8b3f95e9867eb9eb28999b92fd"},
]
stack-data = [
{file = "stack_data-0.1.4-py3-none-any.whl", hash = "sha256:02cc0683cbc445ae4ca8c4e3a0e58cb1df59f252efb0aa016b34804a707cf9bc"},
{file = "stack_data-0.1.4.tar.gz", hash = "sha256:7769ed2482ce0030e00175dd1bf4ef1e873603b6ab61cd3da443b410e64e9477"},
{file = "stack_data-0.2.0-py3-none-any.whl", hash = "sha256:999762f9c3132308789affa03e9271bbbe947bf78311851f4d485d8402ed858e"},
{file = "stack_data-0.2.0.tar.gz", hash = "sha256:45692d41bd633a9503a5195552df22b583caf16f0b27c4e58c98d88c8b648e12"},
]
tabulate = [
{file = "tabulate-0.8.9-py3-none-any.whl", hash = "sha256:d7c013fe7abbc5e491394e10fa845f8f32fe54f8dc60c6622c6cf482d25d47e4"},
@@ -3516,8 +3514,8 @@ termcolor = [
{file = "termcolor-1.1.0.tar.gz", hash = "sha256:1d6d69ce66211143803fbc56652b41d73b4a400a2891d7bf7a1cdf4c02de613b"},
]
terminado = [
{file = "terminado-0.12.1-py3-none-any.whl", hash = "sha256:09fdde344324a1c9c6e610ee4ca165c4bb7f5bbf982fceeeb38998a988ef8452"},
{file = "terminado-0.12.1.tar.gz", hash = "sha256:b20fd93cc57c1678c799799d117874367cc07a3d2d55be95205b1a88fa08393f"},
{file = "terminado-0.13.1-py3-none-any.whl", hash = "sha256:f446b522b50a7aa68b5def0a02893978fb48cb82298b0ebdae13003c6ee6f198"},
{file = "terminado-0.13.1.tar.gz", hash = "sha256:5b82b5c6e991f0705a76f961f43262a7fb1e55b093c16dca83f16384a7f39b7b"},
]
testpath = [
{file = "testpath-0.5.0-py3-none-any.whl", hash = "sha256:8044f9a0bab6567fc644a3593164e872543bb44225b0e24846e2c89237937589"},
@@ -3587,20 +3585,20 @@ traitlets = [
{file = "traitlets-5.1.1.tar.gz", hash = "sha256:059f456c5a7c1c82b98c2e8c799f39c9b8128f6d0d46941ee118daace9eb70c7"},
]
twine = [
{file = "twine-3.7.1-py3-none-any.whl", hash = "sha256:8c120845fc05270f9ee3e9d7ebbed29ea840e41f48cd059e04733f7e1d401345"},
{file = "twine-3.7.1.tar.gz", hash = "sha256:28460a3db6b4532bde6a5db6755cf2dce6c5020bada8a641bb2c5c7a9b1f35b8"},
{file = "twine-3.8.0-py3-none-any.whl", hash = "sha256:d0550fca9dc19f3d5e8eadfce0c227294df0a2a951251a4385797c8a6198b7c8"},
{file = "twine-3.8.0.tar.gz", hash = "sha256:8efa52658e0ae770686a13b675569328f1fba9837e5de1867bfe5f46a9aefe19"},
]
types-setuptools = [
{file = "types-setuptools-57.4.7.tar.gz", hash = "sha256:9677d969b00ec1c14552f5be2b2b47a6fbea4d0ed4de0fdcee18abdaa0cc9267"},
{file = "types_setuptools-57.4.7-py3-none-any.whl", hash = "sha256:ffda504687ea02d4b7751c0d1df517fbbcdc276836d90849e4f1a5f1ccd79f01"},
{file = "types-setuptools-57.4.9.tar.gz", hash = "sha256:536ef74744f8e1e4be4fc719887f886e74e4cf3c792b4a06984320be4df450b5"},
{file = "types_setuptools-57.4.9-py3-none-any.whl", hash = "sha256:948dc6863373750e2cd0b223a84f1fb608414cde5e55cf38ea657b93aeb411d2"},
]
types-toml = [
{file = "types-toml-0.10.3.tar.gz", hash = "sha256:215a7a79198651ec5bdfd66193c1e71eb681a42f3ef7226c9af3123ced62564a"},
{file = "types_toml-0.10.3-py3-none-any.whl", hash = "sha256:988457744d9774d194e3539388772e3a685d8057b7c4a89407afeb0a6cbd1b14"},
{file = "types-toml-0.10.4.tar.gz", hash = "sha256:9340e7c1587715581bb13905b3af30b79fe68afaccfca377665d5e63b694129a"},
{file = "types_toml-0.10.4-py3-none-any.whl", hash = "sha256:4a9ffd47bbcec49c6fde6351a889b2c1bd3c0ef309fa0eed60dc28e58c8b9ea6"},
]
typing-extensions = [
{file = "typing_extensions-4.0.1-py3-none-any.whl", hash = "sha256:7f001e5ac290a0c0401508864c7ec868be4e701886d5b573a9528ed3973d9d3b"},
{file = "typing_extensions-4.0.1.tar.gz", hash = "sha256:4ca091dea149f945ec56afb48dae714f21e8692ef22a395223bcd328961b6a0e"},
{file = "typing_extensions-4.1.1-py3-none-any.whl", hash = "sha256:21c85e0fe4b9a155d0799430b0ad741cdce7e359660ccbd8b530613e8df88ce2"},
{file = "typing_extensions-4.1.1.tar.gz", hash = "sha256:1a9462dcc3347a79b1f1c0271fbe79e844580bb598bafa1ed208b94da3cdcd42"},
]
urllib3 = [
{file = "urllib3-1.26.8-py2.py3-none-any.whl", hash = "sha256:000ca7f471a233c2251c6c7023ee85305721bfdf18621ebff4fd17a8653427ed"},

2
pyproject.toml
View File

@@ -45,7 +45,7 @@ pygraphviz = { version = "^1.7", optional = true }
Pillow = "^9.0.0"
loguru = "^0.5.3"
setuptools = "*"
concrete-compiler = "^0.1.1"
concrete-compiler = "^0.2.0"
[tool.poetry.extras]
full = ["pygraphviz"]

381
tests/numpy/test_compile.py
View File

@@ -1102,6 +1102,292 @@ def test_compile_and_run_correctness__for_prog_with_tlu(
),
True,
),
pytest.param(
lambda x: numpy.sum(x),
{
"x": EncryptedTensor(UnsignedInteger(3), shape=(2, 3)),
},
[numpy.random.randint(0, 2 ** 3, size=(2, 3)) for _ in range(10)],
(
[
[1, 7, 6],
[3, 2, 5],
],
),
False,
),
pytest.param(
lambda x: numpy.sum(x, axis=0),
{
"x": EncryptedTensor(UnsignedInteger(3), shape=(2, 3)),
},
[numpy.random.randint(0, 2 ** 3, size=(2, 3)) for _ in range(10)],
(
[
[1, 7, 6],
[3, 2, 5],
],
),
False,
),
pytest.param(
lambda x: numpy.sum(x, axis=1),
{
"x": EncryptedTensor(UnsignedInteger(3), shape=(2, 3)),
},
[numpy.random.randint(0, 2 ** 3, size=(2, 3)) for _ in range(10)],
(
[
[1, 7, 6],
[3, 2, 5],
],
),
False,
),
pytest.param(
lambda x: numpy.sum(x, axis=(0, 1)),
{
"x": EncryptedTensor(UnsignedInteger(3), shape=(2, 3)),
},
[numpy.random.randint(0, 2 ** 3, size=(2, 3)) for _ in range(10)],
(
[
[1, 7, 6],
[3, 2, 5],
],
),
False,
),
pytest.param(
lambda x: numpy.sum(x, keepdims=True),
{
"x": EncryptedTensor(UnsignedInteger(3), shape=(2, 3)),
},
[numpy.random.randint(0, 2 ** 3, size=(2, 3)) for _ in range(10)],
(
[
[1, 7, 6],
[3, 2, 5],
],
),
False,
),
pytest.param(
lambda x: numpy.sum(x, axis=0, keepdims=True),
{
"x": EncryptedTensor(UnsignedInteger(3), shape=(2, 3)),
},
[numpy.random.randint(0, 2 ** 3, size=(2, 3)) for _ in range(10)],
(
[
[1, 7, 6],
[3, 2, 5],
],
),
False,
),
pytest.param(
lambda x: numpy.sum(x, axis=1, keepdims=True),
{
"x": EncryptedTensor(UnsignedInteger(3), shape=(2, 3)),
},
[numpy.random.randint(0, 2 ** 3, size=(2, 3)) for _ in range(10)],
(
[
[1, 7, 6],
[3, 2, 5],
],
),
False,
),
pytest.param(
lambda x: numpy.sum(x, axis=(0, 1), keepdims=True),
{
"x": EncryptedTensor(UnsignedInteger(3), shape=(2, 3)),
},
[numpy.random.randint(0, 2 ** 3, size=(2, 3)) for _ in range(10)],
(
[
[1, 7, 6],
[3, 2, 5],
],
),
False,
),
pytest.param(
lambda x: numpy.sum(x, axis=-1, keepdims=True),
{
"x": EncryptedTensor(UnsignedInteger(3), shape=(2, 3)),
},
[numpy.random.randint(0, 2 ** 3, size=(2, 3)) for _ in range(10)],
(
[
[1, 7, 6],
[3, 2, 5],
],
),
False,
),
pytest.param(
lambda x: numpy.sum(x, axis=-2, keepdims=True),
{
"x": EncryptedTensor(UnsignedInteger(3), shape=(2, 3)),
},
[numpy.random.randint(0, 2 ** 3, size=(2, 3)) for _ in range(10)],
(
[
[1, 7, 6],
[3, 2, 5],
],
),
False,
),
pytest.param(
lambda x: numpy.sum(x, axis=(-2, -1), keepdims=True),
{
"x": EncryptedTensor(UnsignedInteger(3), shape=(2, 3)),
},
[numpy.random.randint(0, 2 ** 3, size=(2, 3)) for _ in range(10)],
(
[
[1, 7, 6],
[3, 2, 5],
],
),
False,
),
pytest.param(
lambda x, y: numpy.concatenate((x, y)),
{
"x": EncryptedTensor(UnsignedInteger(3), shape=(4, 2)),
"y": EncryptedTensor(UnsignedInteger(3), shape=(3, 2)),
},
[
(
numpy.random.randint(0, 2 ** 3, size=(4, 2)),
numpy.random.randint(0, 2 ** 3, size=(3, 2)),
)
for _ in range(10)
],
(
[
[0, 1],
[2, 3],
[4, 5],
[6, 7],
],
[
[4, 5],
[2, 3],
[0, 1],
],
),
False,
),
pytest.param(
lambda x, y: numpy.concatenate((x, y), axis=1),
{
"x": EncryptedTensor(UnsignedInteger(3), shape=(2, 4)),
"y": EncryptedTensor(UnsignedInteger(3), shape=(2, 3)),
},
[
(
numpy.random.randint(0, 2 ** 3, size=(2, 4)),
numpy.random.randint(0, 2 ** 3, size=(2, 3)),
)
for _ in range(10)
],
(
[
[0, 1, 2, 3],
[4, 5, 6, 7],
],
[
[5, 4, 3],
[2, 1, 0],
],
),
False,
),
pytest.param(
lambda x, y: numpy.concatenate((x, y), axis=-1),
{
"x": EncryptedTensor(UnsignedInteger(3), shape=(2, 4)),
"y": EncryptedTensor(UnsignedInteger(3), shape=(2, 3)),
},
[
(
numpy.random.randint(0, 2 ** 3, size=(2, 4)),
numpy.random.randint(0, 2 ** 3, size=(2, 3)),
)
for _ in range(10)
],
(
[
[0, 1, 2, 3],
[4, 5, 6, 7],
],
[
[5, 4, 3],
[2, 1, 0],
],
),
False,
),
pytest.param(
lambda x, y: numpy.concatenate((x, y), axis=-2),
{
"x": EncryptedTensor(UnsignedInteger(3), shape=(4, 2)),
"y": EncryptedTensor(UnsignedInteger(3), shape=(3, 2)),
},
[
(
numpy.random.randint(0, 2 ** 3, size=(4, 2)),
numpy.random.randint(0, 2 ** 3, size=(3, 2)),
)
for _ in range(10)
],
(
[
[0, 1],
[2, 3],
[4, 5],
[6, 7],
],
[
[4, 5],
[2, 3],
[0, 1],
],
),
False,
),
pytest.param(
lambda x, y: numpy.concatenate((x, y), axis=None),
{
"x": EncryptedTensor(UnsignedInteger(3), shape=(3, 4)),
"y": EncryptedTensor(UnsignedInteger(3), shape=(2, 3)),
},
[
(
numpy.random.randint(0, 2 ** 3, size=(3, 4)),
numpy.random.randint(0, 2 ** 3, size=(2, 3)),
)
for _ in range(10)
],
(
[
[0, 1, 2, 3],
[4, 5, 6, 7],
[7, 6, 5, 4],
],
[
[5, 4, 3],
[2, 1, 0],
],
),
False,
),
],
)
def test_compile_and_run_tensor_correctness(
@@ -1682,7 +1968,7 @@ def test_compile_function_with_direct_tlu_overflow(default_compilation_configura
# pylint: disable=line-too-long
@pytest.mark.parametrize(
"function,parameters,inputset,match",
"function,parameters,inputset,error,match",
[
pytest.param(
lambda x: numpy.dot(x, numpy.array([-1.5])),
@@ -1690,6 +1976,7 @@ def test_compile_function_with_direct_tlu_overflow(default_compilation_configura
"x": EncryptedTensor(Integer(2, is_signed=False), shape=(1,)),
},
[numpy.array([i]) for i in [1, 1, 0, 0, 1, 1, 0, 0, 2, 2]],
RuntimeError,
(
"""
@@ -1708,6 +1995,7 @@ return %2
no_fuse_unhandled,
{"x": EncryptedScalar(Integer(2, False)), "y": EncryptedScalar(Integer(2, False))},
[(numpy.array(i), numpy.array(i)) for i in range(10)],
RuntimeError,
(
"""
@@ -1740,6 +2028,7 @@ return %9
lambda x: numpy.transpose(x),
{"x": EncryptedTensor(Integer(3, is_signed=False), shape=(3, 2))},
[numpy.random.randint(0, 2 ** 3, size=(3, 2)) for i in range(10)],
RuntimeError,
(
"""
@@ -1757,6 +2046,7 @@ return %1
lambda x: numpy.ravel(x),
{"x": EncryptedTensor(Integer(3, is_signed=False), shape=(3, 2))},
[numpy.random.randint(0, 2 ** 3, size=(3, 2)) for i in range(10)],
RuntimeError,
(
"""
@@ -1767,16 +2057,101 @@ function you are trying to compile isn't supported for MLIR lowering
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ravel is not supported for the time being
return %1
""".strip() # noqa: E501
),
),
pytest.param(
lambda x: numpy.sum(x),
{"x": EncryptedScalar(UnsignedInteger(3))},
[numpy.random.randint(0, 2 ** 3) for i in range(10)],
ValueError,
(
"""
only encrypted tensor sum is supported but you tried to sum EncryptedScalar<uint3>
""".strip() # noqa: E501
),
),
pytest.param(
lambda x: numpy.sum(x, axis="abc"), # type: ignore
{"x": EncryptedTensor(UnsignedInteger(3), shape=(3, 2))},
[numpy.random.randint(0, 2 ** 3, size=(3, 2)) for i in range(10)],
ValueError,
(
"""
invalid sum on EncryptedTensor<uint3, shape=(3, 2)> with axis=abc
""".strip() # noqa: E501
),
),
pytest.param(
lambda x: numpy.sum(x), # type: ignore
{"x": ClearTensor(UnsignedInteger(3), shape=(3, 2))},
[numpy.random.randint(0, 2 ** 3, size=(3, 2)) for i in range(10)],
ValueError,
(
"""
only encrypted tensor sum is supported but you tried to sum ClearTensor<uint3, shape=(3, 2)>
""".strip() # noqa: E501
),
),
pytest.param(
lambda x: numpy.concatenate((x, x)),
{"x": EncryptedScalar(UnsignedInteger(3))},
[numpy.random.randint(0, 2 ** 3) for i in range(10)],
ValueError,
(
"""
only encrypted tensor concatenation is supported but you tried to concatenate EncryptedScalar<uint3>, EncryptedScalar<uint3>
""".strip() # noqa: E501
),
),
pytest.param(
lambda x: numpy.concatenate((x, x), axis="abc"), # type: ignore
{"x": EncryptedTensor(UnsignedInteger(3), shape=(3, 2))},
[numpy.random.randint(0, 2 ** 3, size=(3, 2)) for i in range(10)],
ValueError,
(
"""
invalid concatenation of EncryptedTensor<uint3, shape=(3, 2)>, EncryptedTensor<uint3, shape=(3, 2)> with axis=abc
""".strip() # noqa: E501
),
),
pytest.param(
lambda x: numpy.concatenate((x, x)), # type: ignore
{"x": ClearTensor(UnsignedInteger(3), shape=(3, 2))},
[numpy.random.randint(0, 2 ** 3, size=(3, 2)) for i in range(10)],
ValueError,
(
"""
only encrypted tensor concatenation is supported but you tried to concatenate ClearTensor<uint3, shape=(3, 2)>, ClearTensor<uint3, shape=(3, 2)>
""".strip() # noqa: E501
),
),
],
)
# pylint: enable=line-too-long
def test_fail_compile(function, parameters, inputset, match, default_compilation_configuration):
def test_fail_compile(
function,
parameters,
inputset,
error,
match,
default_compilation_configuration,
):
"""Test function compile_numpy_function_into_op_graph for a program with signed values"""
with pytest.raises(RuntimeError) as excinfo:
with pytest.raises(error) as excinfo:
compile_numpy_function(
function,
parameters,