mirror of
https://github.com/zama-ai/concrete.git
synced 2026-02-08 19:44:57 -05:00
843 lines
39 KiB
Python
843 lines
39 KiB
Python
"""
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Tests of `Converter` class.
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"""
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import numpy as np
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import pytest
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from concrete import fhe
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from concrete.fhe.mlir import GraphConverter
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def assign(x, y):
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"""
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Assign scalar `y` into vector `x`.
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"""
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x[0] = y
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return x
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@pytest.mark.parametrize(
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"function,encryption_statuses,inputset,expected_error,expected_message",
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[
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pytest.param(
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lambda x, y: x + y,
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{"x": "encrypted", "y": "encrypted"},
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[(0.0, 0), (7.0, 7), (0.0, 7), (7.0, 0)],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # EncryptedScalar<float64> ∈ [0.0, 7.0]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ only integers are supported
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%1 = y # EncryptedScalar<uint3> ∈ [0, 7]
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%2 = add(%0, %1) # EncryptedScalar<float64> ∈ [0.0, 14.0]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ only integers are supported
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return %2
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""", # noqa: E501
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),
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pytest.param(
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lambda x: fhe.conv(x, [[[3, 1, 0, 2]]]),
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{"x": "encrypted"},
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[np.ones(shape=(1, 1, 10), dtype=np.int64)],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # EncryptedTensor<uint1, shape=(1, 1, 10)> ∈ [1, 1]
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%1 = [[[3 1 0 2]]] # ClearTensor<uint2, shape=(1, 1, 4)> ∈ [0, 3]
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%2 = conv1d(%0, %1, [0], pads=(0, 0), strides=(1,), dilations=(1,), group=1) # EncryptedTensor<uint3, shape=(1, 1, 7)> ∈ [6, 6]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 1-dimensional convolutions are not supported at the moment
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return %2
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""", # noqa: E501
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),
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pytest.param(
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lambda x: fhe.conv(x, [[[[[1, 3], [4, 2]]]]]),
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{"x": "encrypted"},
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[np.ones(shape=(1, 1, 3, 4, 5), dtype=np.int64)],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # EncryptedTensor<uint1, shape=(1, 1, 3, 4, 5)> ∈ [1, 1]
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%1 = [[[[[1 3] [4 2]]]]] # ClearTensor<uint3, shape=(1, 1, 1, 2, 2)> ∈ [1, 4]
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%2 = conv3d(%0, %1, [0], pads=(0, 0, 0, 0, 0, 0), strides=(1, 1, 1), dilations=(1, 1, 1), group=1) # EncryptedTensor<uint4, shape=(1, 1, 3, 3, 4)> ∈ [10, 10]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 3-dimensional convolutions are not supported at the moment
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return %2
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""", # noqa: E501
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),
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pytest.param(
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lambda x: fhe.maxpool(x, kernel_shape=(3,)),
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{"x": "encrypted"},
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[np.ones(shape=(1, 1, 10), dtype=np.int64)],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # EncryptedTensor<uint1, shape=(1, 1, 10)> ∈ [1, 1]
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%1 = maxpool1d(%0, kernel_shape=(3,), strides=(1,), pads=(0, 0), dilations=(1,), ceil_mode=False) # EncryptedTensor<uint1, shape=(1, 1, 8)> ∈ [1, 1]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 1-dimensional maxpooling is not supported at the moment
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return %1
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""", # noqa: E501
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),
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pytest.param(
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lambda x: fhe.maxpool(x, kernel_shape=(3, 1, 2)),
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{"x": "encrypted"},
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[np.ones(shape=(1, 1, 3, 4, 5), dtype=np.int64)],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # EncryptedTensor<uint1, shape=(1, 1, 3, 4, 5)> ∈ [1, 1]
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%1 = maxpool3d(%0, kernel_shape=(3, 1, 2), strides=(1, 1, 1), pads=(0, 0, 0, 0, 0, 0), dilations=(1, 1, 1), ceil_mode=False) # EncryptedTensor<uint1, shape=(1, 1, 1, 4, 4)> ∈ [1, 1]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 3-dimensional maxpooling is not supported at the moment
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return %1
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""", # noqa: E501
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),
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pytest.param(
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lambda x, y: x + y,
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{"x": "clear", "y": "clear"},
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[(0, 0), (7, 7), (0, 7), (7, 0)],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # ClearScalar<uint3> ∈ [0, 7]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ lhs is clear
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%1 = y # ClearScalar<uint3> ∈ [0, 7]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ rhs is clear
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%2 = add(%0, %1) # ClearScalar<uint4> ∈ [0, 14]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but clear-clear additions are not supported
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return %2
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""", # noqa: E501
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),
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pytest.param(
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lambda x, y: x - y,
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{"x": "clear", "y": "clear"},
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[(0, 0), (7, 7), (0, 7), (7, 0)],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # ClearScalar<uint3> ∈ [0, 7]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ lhs is clear
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%1 = y # ClearScalar<uint3> ∈ [0, 7]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ rhs is clear
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%2 = subtract(%0, %1) # ClearScalar<int4> ∈ [-7, 7]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but clear-clear subtractions are not supported
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return %2
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""", # noqa: E501
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),
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pytest.param(
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lambda x, y: x * y,
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{"x": "clear", "y": "clear"},
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[(0, 0), (7, 7), (0, 7), (7, 0)],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # ClearScalar<uint3> ∈ [0, 7]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ lhs is clear
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%1 = y # ClearScalar<uint3> ∈ [0, 7]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ rhs is clear
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%2 = multiply(%0, %1) # ClearScalar<uint6> ∈ [0, 49]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but clear-clear multiplications are not supported
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return %2
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""", # noqa: E501
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),
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pytest.param(
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lambda x, y: np.dot(x, y),
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{"x": "clear", "y": "clear"},
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[([1, 2], [3, 4])],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # ClearTensor<uint2, shape=(2,)> ∈ [1, 2]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ lhs is clear
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%1 = y # ClearTensor<uint3, shape=(2,)> ∈ [3, 4]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ rhs is clear
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%2 = dot(%0, %1) # ClearScalar<uint4> ∈ [11, 11]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but clear-clear dot products are not supported
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return %2
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""", # noqa: E501
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),
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pytest.param(
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lambda x: np.broadcast_to(x, shape=(2, 2)),
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{"x": "clear"},
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[[1, 2], [3, 4]],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # ClearTensor<uint3, shape=(2,)> ∈ [1, 4]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ value is clear
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%1 = broadcast_to(%0, shape=(2, 2)) # ClearTensor<uint3, shape=(2, 2)> ∈ [1, 4]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but clear values cannot be broadcasted
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return %1
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""", # noqa: E501
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),
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pytest.param(
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assign,
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{"x": "clear", "y": "encrypted"},
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[([1, 2, 3], 0)],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # ClearTensor<uint2, shape=(3,)> ∈ [0, 3]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ tensor is clear
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%1 = y # EncryptedScalar<uint1> ∈ [0, 0]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ assigned value is encrypted
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%2 = (%0[0] = %1) # ClearTensor<uint2, shape=(3,)> ∈ [0, 3]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but encrypted values cannot be assigned to clear tensors
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return %2
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""", # noqa: E501
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),
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pytest.param(
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lambda x: x**2 + (x + 1_000_000),
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{"x": "encrypted"},
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[100_000],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # EncryptedScalar<uint17> ∈ [100000, 100000]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 34-bit value is used as an input to a table lookup
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(note that it's assigned 34-bits during compilation because of its relation with other operations)
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%1 = 2 # ClearScalar<uint2> ∈ [2, 2]
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%2 = power(%0, %1) # EncryptedScalar<uint34> ∈ [10000000000, 10000000000]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but only up to 16-bit table lookups are supported
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%3 = 1000000 # ClearScalar<uint20> ∈ [1000000, 1000000]
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%4 = add(%0, %3) # EncryptedScalar<uint21> ∈ [1100000, 1100000]
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%5 = add(%2, %4) # EncryptedScalar<uint34> ∈ [10001100000, 10001100000]
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return %5
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""", # noqa: E501
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),
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pytest.param(
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lambda x, y: x & y,
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{"x": "encrypted", "y": "encrypted"},
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[(-2, 4)],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # EncryptedScalar<int2> ∈ [-2, -2]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ lhs is signed
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%1 = y # EncryptedScalar<uint3> ∈ [4, 4]
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%2 = bitwise_and(%0, %1) # EncryptedScalar<uint3> ∈ [4, 4]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but only unsigned-unsigned bitwise operations are supported
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return %2
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""", # noqa: E501
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),
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pytest.param(
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lambda x, y: x & y,
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{"x": "encrypted", "y": "encrypted"},
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[(4, -2)],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # EncryptedScalar<uint3> ∈ [4, 4]
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%1 = y # EncryptedScalar<int2> ∈ [-2, -2]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ rhs is signed
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%2 = bitwise_and(%0, %1) # EncryptedScalar<uint3> ∈ [4, 4]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but only unsigned-unsigned bitwise operations are supported
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return %2
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""", # noqa: E501
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),
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pytest.param(
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lambda x, y: np.concatenate((x, y)),
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{"x": "clear", "y": "clear"},
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[([1, 2], [3, 4])],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # ClearTensor<uint2, shape=(2,)> ∈ [1, 2]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ value is clear
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%1 = y # ClearTensor<uint3, shape=(2,)> ∈ [3, 4]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ value is clear
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%2 = concatenate((%0, %1)) # ClearTensor<uint3, shape=(4,)> ∈ [1, 4]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but clear concatenation is not supported
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return %2
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""", # noqa: E501
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),
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pytest.param(
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lambda x: fhe.conv(x, [[[[2, 1], [0, 3]]]]),
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{"x": "clear"},
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[np.ones(shape=(1, 1, 10, 10), dtype=np.int64)],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # ClearTensor<uint1, shape=(1, 1, 10, 10)> ∈ [1, 1]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ operand is clear
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%1 = [[[[2 1] [0 3]]]] # ClearTensor<uint2, shape=(1, 1, 2, 2)> ∈ [0, 3]
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%2 = conv2d(%0, %1, [0], pads=(0, 0, 0, 0), strides=(1, 1), dilations=(1, 1), group=1) # EncryptedTensor<uint3, shape=(1, 1, 9, 9)> ∈ [6, 6]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but clear convolutions are not supported
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return %2
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""", # noqa: E501
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),
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pytest.param(
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lambda x, y: fhe.conv(x, weight=y),
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{"x": "encrypted", "y": "encrypted"},
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[
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(
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np.ones(shape=(1, 1, 10, 10), dtype=np.int64),
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np.ones(shape=(1, 1, 2, 2), dtype=np.int64),
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)
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],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # EncryptedTensor<uint1, shape=(1, 1, 10, 10)> ∈ [1, 1]
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%1 = y # EncryptedTensor<uint1, shape=(1, 1, 2, 2)> ∈ [1, 1]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ weight is encrypted
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%2 = conv2d(%0, %1, [0], pads=(0, 0, 0, 0), strides=(1, 1), dilations=(1, 1), group=1) # EncryptedTensor<uint3, shape=(1, 1, 9, 9)> ∈ [4, 4]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but convolutions with encrypted weights are not supported
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return %2
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""", # noqa: E501
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),
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pytest.param(
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lambda x, y: fhe.conv(x, weight=[[[[2, 1], [0, 3]]]], bias=y),
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{"x": "encrypted", "y": "encrypted"},
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[
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(
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np.ones(shape=(1, 1, 10, 10), dtype=np.int64),
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np.ones(shape=(1,), dtype=np.int64),
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)
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],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # EncryptedTensor<uint1, shape=(1, 1, 10, 10)> ∈ [1, 1]
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%1 = y # EncryptedTensor<uint1, shape=(1,)> ∈ [1, 1]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ bias is encrypted
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%2 = [[[[2 1] [0 3]]]] # ClearTensor<uint2, shape=(1, 1, 2, 2)> ∈ [0, 3]
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%3 = conv2d(%0, %2, %1, pads=(0, 0, 0, 0), strides=(1, 1), dilations=(1, 1), group=1) # EncryptedTensor<uint3, shape=(1, 1, 9, 9)> ∈ [7, 7]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but convolutions with encrypted biases are not supported
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return %3
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""", # noqa: E501
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),
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pytest.param(
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lambda x, y: x @ y,
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{"x": "clear", "y": "clear"},
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[([[1, 2], [3, 4]], [[4, 3], [2, 1]])],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # ClearTensor<uint3, shape=(2, 2)> ∈ [1, 4]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ lhs is clear
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%1 = y # ClearTensor<uint3, shape=(2, 2)> ∈ [1, 4]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ rhs is clear
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%2 = matmul(%0, %1) # ClearTensor<uint5, shape=(2, 2)> ∈ [5, 20]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but clear-clear matrix multiplications are not supported
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return %2
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""", # noqa: E501
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),
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pytest.param(
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lambda x: fhe.maxpool(x, kernel_shape=(3, 2)),
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{"x": "clear"},
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[np.ones(shape=(1, 1, 10, 5), dtype=np.int64)],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # ClearTensor<uint1, shape=(1, 1, 10, 5)> ∈ [1, 1]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ operand is clear
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%1 = maxpool2d(%0, kernel_shape=(3, 2), strides=(1, 1), pads=(0, 0, 0, 0), dilations=(1, 1), ceil_mode=False) # ClearTensor<uint1, shape=(1, 1, 8, 4)> ∈ [1, 1]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but clear maxpooling is not supported
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return %1
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""", # noqa: E501
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),
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pytest.param(
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lambda x: x**2,
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{"x": "clear"},
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[3, 4, 5],
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RuntimeError,
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"""
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Function you are trying to compile cannot be compiled
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%0 = x # ClearScalar<uint3> ∈ [3, 5]
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this clear value is used as an input to a table lookup
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%1 = 2 # ClearScalar<uint2> ∈ [2, 2]
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%2 = power(%0, %1) # ClearScalar<uint5> ∈ [9, 25]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but only encrypted table lookups are supported
|
|
return %2
|
|
|
|
""", # noqa: E501
|
|
),
|
|
pytest.param(
|
|
lambda x: np.sum(x),
|
|
{"x": "clear"},
|
|
[[1, 2]],
|
|
RuntimeError,
|
|
"""
|
|
|
|
Function you are trying to compile cannot be compiled
|
|
|
|
%0 = x # ClearTensor<uint2, shape=(2,)> ∈ [1, 2]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ operand is clear
|
|
%1 = sum(%0) # ClearScalar<uint2> ∈ [3, 3]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but clear summation is not supported
|
|
return %1
|
|
|
|
""", # noqa: E501
|
|
),
|
|
pytest.param(
|
|
lambda x, y: x << y,
|
|
{"x": "encrypted", "y": "encrypted"},
|
|
[(-2, 4)],
|
|
RuntimeError,
|
|
"""
|
|
|
|
Function you are trying to compile cannot be compiled
|
|
|
|
%0 = x # EncryptedScalar<int2> ∈ [-2, -2]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ lhs is signed
|
|
%1 = y # EncryptedScalar<uint3> ∈ [4, 4]
|
|
%2 = left_shift(%0, %1) # EncryptedScalar<int6> ∈ [-32, -32]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but only unsigned-unsigned bitwise shifts are supported
|
|
return %2
|
|
|
|
""", # noqa: E501
|
|
),
|
|
pytest.param(
|
|
lambda x, y: x >> y,
|
|
{"x": "encrypted", "y": "encrypted"},
|
|
[(4, -2)],
|
|
RuntimeError,
|
|
"""
|
|
|
|
Function you are trying to compile cannot be compiled
|
|
|
|
%0 = x # EncryptedScalar<uint3> ∈ [4, 4]
|
|
%1 = y # EncryptedScalar<int2> ∈ [-2, -2]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ rhs is signed
|
|
%2 = right_shift(%0, %1) # EncryptedScalar<uint1> ∈ [0, 0]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but only unsigned-unsigned bitwise shifts are supported
|
|
return %2
|
|
|
|
""", # noqa: E501
|
|
),
|
|
pytest.param(
|
|
lambda x: -x,
|
|
{"x": "clear"},
|
|
[10],
|
|
RuntimeError,
|
|
"""
|
|
|
|
Function you are trying to compile cannot be compiled
|
|
|
|
%0 = x # ClearScalar<uint4> ∈ [10, 10]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ operand is clear
|
|
%1 = negative(%0) # ClearScalar<int5> ∈ [-10, -10]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but clear negations are not supported
|
|
return %1
|
|
|
|
""", # noqa: E501
|
|
),
|
|
pytest.param(
|
|
lambda x: fhe.LookupTable([fhe.LookupTable([0, 1]), fhe.LookupTable([1, 0])])[x],
|
|
{"x": "clear"},
|
|
[[1, 1], [1, 0], [0, 1], [0, 0]],
|
|
RuntimeError,
|
|
"""
|
|
|
|
Function you are trying to compile cannot be compiled
|
|
|
|
%0 = x # ClearTensor<uint1, shape=(2,)> ∈ [0, 1]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this clear value is used as an input to a table lookup
|
|
%1 = tlu(%0, table=[[0, 1] [1, 0]]) # ClearTensor<uint1, shape=(2,)> ∈ [0, 1]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but only encrypted table lookups are supported
|
|
return %1
|
|
|
|
""", # noqa: E501
|
|
),
|
|
pytest.param(
|
|
lambda x: fhe.round_bit_pattern(x, lsbs_to_remove=2),
|
|
{"x": "clear"},
|
|
[10, 20, 30],
|
|
RuntimeError,
|
|
"""
|
|
|
|
Function you are trying to compile cannot be compiled
|
|
|
|
%0 = x # ClearScalar<uint5> ∈ [10, 30]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ operand is clear
|
|
%1 = round_bit_pattern(%0, lsbs_to_remove=2) # ClearScalar<uint6> ∈ [12, 32]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but clear round bit pattern is not supported
|
|
%2 = identity(%1) # ClearScalar<uint6>
|
|
return %2
|
|
|
|
""", # noqa: E501
|
|
),
|
|
pytest.param(
|
|
lambda x, y: x | y,
|
|
{"x": "encrypted", "y": "encrypted"},
|
|
[(100_000, 300_000)],
|
|
RuntimeError,
|
|
"""
|
|
|
|
Function you are trying to compile cannot be compiled
|
|
|
|
%0 = x # EncryptedScalar<uint17> ∈ [100000, 100000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 19-bit value is used as an operand to a bitwise operation
|
|
(note that it's assigned 19-bits during compilation because of its relation with other operations)
|
|
%1 = y # EncryptedScalar<uint19> ∈ [300000, 300000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 19-bit value is used as an operand to a bitwise operation
|
|
%2 = bitwise_or(%0, %1) # EncryptedScalar<uint19> ∈ [366560, 366560]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but only up to 16-bit bitwise operations are supported
|
|
return %2
|
|
|
|
""", # noqa: E501
|
|
),
|
|
pytest.param(
|
|
lambda x, y: x != y,
|
|
{"x": "encrypted", "y": "encrypted"},
|
|
[(300_000, 100_000)],
|
|
RuntimeError,
|
|
"""
|
|
|
|
Function you are trying to compile cannot be compiled
|
|
|
|
%0 = x # EncryptedScalar<uint19> ∈ [300000, 300000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 19-bit value is used as an operand to a comparison operation
|
|
%1 = y # EncryptedScalar<uint17> ∈ [100000, 100000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 19-bit value is used as an operand to a comparison operation
|
|
(note that it's assigned 19-bits during compilation because of its relation with other operations)
|
|
%2 = not_equal(%0, %1) # EncryptedScalar<uint1> ∈ [1, 1]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but only up to 16-bit comparison operations are supported
|
|
return %2
|
|
|
|
""", # noqa: E501
|
|
),
|
|
pytest.param(
|
|
lambda x, y: x >= y,
|
|
{"x": "encrypted", "y": "encrypted"},
|
|
[(300_000, 100_000)],
|
|
RuntimeError,
|
|
"""
|
|
|
|
Function you are trying to compile cannot be compiled
|
|
|
|
%0 = x # EncryptedScalar<uint19> ∈ [300000, 300000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 19-bit value is used as an operand to a comparison operation
|
|
%1 = y # EncryptedScalar<uint17> ∈ [100000, 100000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 19-bit value is used as an operand to a comparison operation
|
|
(note that it's assigned 19-bits during compilation because of its relation with other operations)
|
|
%2 = greater_equal(%0, %1) # EncryptedScalar<uint1> ∈ [1, 1]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but only up to 16-bit comparison operations are supported
|
|
return %2
|
|
|
|
""", # noqa: E501
|
|
),
|
|
pytest.param(
|
|
lambda x, y: x << y,
|
|
{"x": "encrypted", "y": "encrypted"},
|
|
[(100_000, 20)],
|
|
RuntimeError,
|
|
"""
|
|
|
|
Function you are trying to compile cannot be compiled
|
|
|
|
%0 = x # EncryptedScalar<uint17> ∈ [100000, 100000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 37-bit value is used as the operand of a shift operation
|
|
(note that it's assigned 37-bits during compilation because of its relation with other operations)
|
|
%1 = y # EncryptedScalar<uint5> ∈ [20, 20]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 5-bit value is used as the shift amount of a shift operation
|
|
%2 = left_shift(%0, %1) # EncryptedScalar<uint37> ∈ [104857600000, 104857600000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but only up to 4-bit shift operations on up to 16-bit operands are supported
|
|
return %2
|
|
|
|
""", # noqa: E501
|
|
),
|
|
pytest.param(
|
|
lambda x, y: x * y,
|
|
{"x": "encrypted", "y": "encrypted"},
|
|
[(100_000, 20)],
|
|
RuntimeError,
|
|
"""
|
|
|
|
Function you are trying to compile cannot be compiled
|
|
|
|
%0 = x # EncryptedScalar<uint17> ∈ [100000, 100000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 21-bit value is used as an operand to an encrypted multiplication
|
|
(note that it's assigned 21-bits during compilation because of its relation with other operations)
|
|
%1 = y # EncryptedScalar<uint5> ∈ [20, 20]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 21-bit value is used as an operand to an encrypted multiplication
|
|
(note that it's assigned 21-bits during compilation because of its relation with other operations)
|
|
%2 = multiply(%0, %1) # EncryptedScalar<uint21> ∈ [2000000, 2000000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but only up to 16-bit encrypted multiplications are supported
|
|
return %2
|
|
|
|
""", # noqa: E501
|
|
),
|
|
pytest.param(
|
|
lambda x, y: np.dot(x, y),
|
|
{"x": "encrypted", "y": "encrypted"},
|
|
[
|
|
(
|
|
[100_000, 200_000],
|
|
[200_000, 100_000],
|
|
)
|
|
],
|
|
RuntimeError,
|
|
"""
|
|
|
|
Function you are trying to compile cannot be compiled
|
|
|
|
%0 = x # EncryptedTensor<uint18, shape=(2,)> ∈ [100000, 200000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 36-bit value is used as an operand to an encrypted dot products
|
|
(note that it's assigned 36-bits during compilation because of its relation with other operations)
|
|
%1 = y # EncryptedTensor<uint18, shape=(2,)> ∈ [100000, 200000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 36-bit value is used as an operand to an encrypted dot products
|
|
(note that it's assigned 36-bits during compilation because of its relation with other operations)
|
|
%2 = dot(%0, %1) # EncryptedScalar<uint36> ∈ [40000000000, 40000000000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but only up to 16-bit encrypted dot products are supported
|
|
return %2
|
|
|
|
""", # noqa: E501
|
|
),
|
|
pytest.param(
|
|
lambda x, y: x @ y,
|
|
{"x": "encrypted", "y": "encrypted"},
|
|
[
|
|
(
|
|
[
|
|
[100_000, 200_000],
|
|
[200_000, 100_000],
|
|
],
|
|
[
|
|
[100_000, 200_000],
|
|
[200_000, 100_000],
|
|
],
|
|
)
|
|
],
|
|
RuntimeError,
|
|
"""
|
|
|
|
Function you are trying to compile cannot be compiled
|
|
|
|
%0 = x # EncryptedTensor<uint18, shape=(2, 2)> ∈ [100000, 200000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 36-bit value is used as an operand to an encrypted matrix multiplication
|
|
(note that it's assigned 36-bits during compilation because of its relation with other operations)
|
|
%1 = y # EncryptedTensor<uint18, shape=(2, 2)> ∈ [100000, 200000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 36-bit value is used as an operand to an encrypted matrix multiplication
|
|
(note that it's assigned 36-bits during compilation because of its relation with other operations)
|
|
%2 = matmul(%0, %1) # EncryptedTensor<uint36, shape=(2, 2)> ∈ [40000000000, 50000000000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but only up to 16-bit encrypted matrix multiplications are supported
|
|
return %2
|
|
|
|
""", # noqa: E501
|
|
),
|
|
pytest.param(
|
|
lambda x, y: np.dot(x, y),
|
|
{"x": "encrypted", "y": "encrypted"},
|
|
[
|
|
(
|
|
[50_000, 0],
|
|
[1, 10_000],
|
|
)
|
|
],
|
|
RuntimeError,
|
|
"""
|
|
|
|
Function you are trying to compile cannot be compiled
|
|
|
|
%0 = x # EncryptedTensor<uint16, shape=(2,)> ∈ [0, 50000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 17-bit value is used as an operand to an encrypted dot products
|
|
(note that it's assigned 17-bits during compilation because of its relation with other operations)
|
|
%1 = y # EncryptedTensor<uint14, shape=(2,)> ∈ [1, 10000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 17-bit value is used as an operand to an encrypted dot products
|
|
(note that it's assigned 17-bits during compilation because of its relation with other operations)
|
|
%2 = dot(%0, %1) # EncryptedScalar<uint16> ∈ [50000, 50000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but only up to 16-bit encrypted dot products are supported
|
|
return %2
|
|
|
|
""", # noqa: E501
|
|
),
|
|
pytest.param(
|
|
lambda x, y: x @ y,
|
|
{"x": "encrypted", "y": "encrypted"},
|
|
[
|
|
(
|
|
[
|
|
[50_000, 3],
|
|
[3, 10_000],
|
|
],
|
|
[
|
|
[1, 0],
|
|
[0, 1],
|
|
],
|
|
)
|
|
],
|
|
RuntimeError,
|
|
"""
|
|
|
|
Function you are trying to compile cannot be compiled
|
|
|
|
%0 = x # EncryptedTensor<uint16, shape=(2, 2)> ∈ [3, 50000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 17-bit value is used as an operand to an encrypted matrix multiplication
|
|
(note that it's assigned 17-bits during compilation because of its relation with other operations)
|
|
%1 = y # EncryptedTensor<uint1, shape=(2, 2)> ∈ [0, 1]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ this 17-bit value is used as an operand to an encrypted matrix multiplication
|
|
(note that it's assigned 17-bits during compilation because of its relation with other operations)
|
|
%2 = matmul(%0, %1) # EncryptedTensor<uint16, shape=(2, 2)> ∈ [3, 50000]
|
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ but only up to 16-bit encrypted matrix multiplications are supported
|
|
return %2
|
|
|
|
""", # noqa: E501
|
|
),
|
|
],
|
|
)
|
|
def test_converter_bad_convert(
|
|
function,
|
|
encryption_statuses,
|
|
inputset,
|
|
expected_error,
|
|
expected_message,
|
|
helpers,
|
|
):
|
|
"""
|
|
Test unsupported graph conversion.
|
|
"""
|
|
|
|
configuration = helpers.configuration()
|
|
compiler = fhe.Compiler(function, encryption_statuses)
|
|
|
|
with pytest.raises(expected_error) as excinfo:
|
|
compiler.compile(inputset, configuration)
|
|
|
|
helpers.check_str(expected_message, str(excinfo.value))
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"function,parameters,expected_graph",
|
|
[
|
|
pytest.param(
|
|
lambda x: (x**2) + 100,
|
|
{
|
|
"x": {"range": [0, 10], "status": "encrypted"},
|
|
},
|
|
"""
|
|
|
|
%0 = x # EncryptedScalar<uint4> ∈ [0, 10]
|
|
%1 = 2 # ClearScalar<uint5> ∈ [2, 2]
|
|
%2 = power(%0, %1) # EncryptedScalar<uint8> ∈ [0, 100]
|
|
%3 = 100 # ClearScalar<uint9> ∈ [100, 100]
|
|
%4 = add(%2, %3) # EncryptedScalar<uint8> ∈ [100, 200]
|
|
return %4
|
|
|
|
""",
|
|
)
|
|
],
|
|
)
|
|
def test_converter_process_multi_precision(function, parameters, expected_graph, helpers):
|
|
"""
|
|
Test `process` method of `Converter` with multi precision.
|
|
"""
|
|
|
|
parameter_encryption_statuses = helpers.generate_encryption_statuses(parameters)
|
|
configuration = helpers.configuration().fork(single_precision=False)
|
|
|
|
compiler = fhe.Compiler(function, parameter_encryption_statuses)
|
|
|
|
inputset = helpers.generate_inputset(parameters)
|
|
graph = compiler.trace(inputset, configuration)
|
|
|
|
processed_graph = GraphConverter().process(graph, configuration)
|
|
for node in processed_graph.query_nodes():
|
|
if "original_bit_width" in node.properties:
|
|
del node.properties["original_bit_width"]
|
|
|
|
helpers.check_str(expected_graph, processed_graph.format())
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"function,parameters,expected_graph",
|
|
[
|
|
pytest.param(
|
|
lambda x: (x**2) + 100,
|
|
{
|
|
"x": {"range": [0, 10], "status": "encrypted"},
|
|
},
|
|
"""
|
|
|
|
%0 = x # EncryptedScalar<uint8> ∈ [0, 10]
|
|
%1 = 2 # ClearScalar<uint9> ∈ [2, 2]
|
|
%2 = power(%0, %1) # EncryptedScalar<uint8> ∈ [0, 100]
|
|
%3 = 100 # ClearScalar<uint9> ∈ [100, 100]
|
|
%4 = add(%2, %3) # EncryptedScalar<uint8> ∈ [100, 200]
|
|
return %4
|
|
|
|
""",
|
|
)
|
|
],
|
|
)
|
|
def test_converter_process_single_precision(function, parameters, expected_graph, helpers):
|
|
"""
|
|
Test `process` method of `Converter` with single precision.
|
|
"""
|
|
|
|
parameter_encryption_statuses = helpers.generate_encryption_statuses(parameters)
|
|
configuration = helpers.configuration().fork(single_precision=True)
|
|
|
|
compiler = fhe.Compiler(function, parameter_encryption_statuses)
|
|
|
|
inputset = helpers.generate_inputset(parameters)
|
|
graph = compiler.trace(inputset, configuration)
|
|
|
|
processed_graph = GraphConverter().process(graph, configuration)
|
|
for node in processed_graph.query_nodes():
|
|
if "original_bit_width" in node.properties:
|
|
del node.properties["original_bit_width"]
|
|
|
|
helpers.check_str(expected_graph, processed_graph.format())
|