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159 lines
3.6 KiB
Python
159 lines
3.6 KiB
Python
"""
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Tests of execution of matmul operation.
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"""
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import numpy as np
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import pytest
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import concrete.numpy as cnp
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@pytest.mark.parametrize(
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"lhs_shape,rhs_shape,bounds",
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[
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pytest.param(
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(3, 2),
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(2, 3),
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(0, 3),
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),
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pytest.param(
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(1, 2),
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(2, 1),
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(0, 3),
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),
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pytest.param(
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(3, 3),
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(3, 3),
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(0, 3),
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),
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pytest.param(
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(2, 1),
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(1, 2),
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(0, 7),
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),
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pytest.param(
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(2,),
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(2,),
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(0, 7),
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),
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pytest.param(
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(5, 5),
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(5,),
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(0, 3),
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),
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pytest.param(
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(5,),
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(5, 5),
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(0, 3),
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),
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pytest.param(
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(5,),
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(5, 3),
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(0, 3),
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),
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pytest.param(
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(5, 3),
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(3,),
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(0, 3),
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),
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pytest.param(
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(5,),
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(4, 5, 3),
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(0, 5),
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),
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pytest.param(
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(4, 5, 3),
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(3,),
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(0, 5),
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),
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pytest.param(
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(5,),
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(2, 4, 5, 3),
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(0, 5),
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),
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pytest.param(
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(2, 4, 5, 3),
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(3,),
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(0, 5),
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),
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pytest.param(
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(5, 4, 3),
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(3, 2),
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(0, 5),
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),
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pytest.param(
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(4, 3),
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(5, 3, 2),
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(0, 5),
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),
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pytest.param(
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(2, 5, 4, 3),
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(3, 2),
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(0, 5),
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),
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pytest.param(
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(5, 4, 3),
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(1, 3, 2),
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(0, 5),
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),
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pytest.param(
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(1, 4, 3),
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(5, 3, 2),
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(0, 5),
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),
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pytest.param(
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(5, 4, 3),
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(2, 1, 3, 2),
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(0, 5),
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),
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pytest.param(
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(2, 1, 4, 3),
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(5, 3, 2),
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(0, 5),
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),
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],
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)
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def test_matmul(lhs_shape, rhs_shape, bounds, helpers):
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"""
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Test matmul.
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"""
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configuration = helpers.configuration()
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minimum, maximum = bounds
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lhs_cst = list(np.random.randint(minimum, maximum, size=lhs_shape))
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rhs_cst = list(np.random.randint(minimum, maximum, size=rhs_shape))
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@cnp.compiler({"x": "encrypted"})
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def lhs_operator(x):
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return x @ rhs_cst
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@cnp.compiler({"x": "encrypted"})
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def rhs_operator(x):
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return lhs_cst @ x
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@cnp.compiler({"x": "encrypted"})
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def lhs_function(x):
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return np.matmul(x, rhs_cst)
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@cnp.compiler({"x": "encrypted"})
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def rhs_function(x):
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return np.matmul(lhs_cst, x)
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lhs_inputset = [np.random.randint(minimum, maximum, size=lhs_shape) for i in range(100)]
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rhs_inputset = [np.random.randint(minimum, maximum, size=rhs_shape) for i in range(100)]
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lhs_operator_circuit = lhs_operator.compile(lhs_inputset, configuration)
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rhs_operator_circuit = rhs_operator.compile(rhs_inputset, configuration)
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lhs_function_circuit = lhs_function.compile(lhs_inputset, configuration)
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rhs_function_circuit = rhs_function.compile(rhs_inputset, configuration)
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lhs_sample = np.random.randint(minimum, maximum, size=lhs_shape)
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rhs_sample = np.random.randint(minimum, maximum, size=rhs_shape)
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helpers.check_execution(lhs_operator_circuit, lhs_operator, lhs_sample)
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helpers.check_execution(rhs_operator_circuit, rhs_operator, rhs_sample)
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helpers.check_execution(lhs_function_circuit, lhs_function, lhs_sample)
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helpers.check_execution(rhs_function_circuit, rhs_function, rhs_sample)
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