mirror of
https://github.com/zama-ai/concrete.git
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59 lines
2.2 KiB
Python
59 lines
2.2 KiB
Python
import pytest
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from zamalang import CompilerEngine
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@pytest.mark.parametrize(
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"mlir_input, args, expected_result",
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[
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(
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"""
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func @main(%arg0: !HLFHE.eint<7>, %arg1: i8) -> !HLFHE.eint<7> {
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%1 = "HLFHE.add_eint_int"(%arg0, %arg1): (!HLFHE.eint<7>, i8) -> (!HLFHE.eint<7>)
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return %1: !HLFHE.eint<7>
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}
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""",
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(5, 7),
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12,
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),
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(
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"""
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func @main(%arg0: tensor<4x!HLFHE.eint<7>>, %arg1: tensor<4xi8>) -> !HLFHE.eint<7>
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{
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%ret = "HLFHE.dot_eint_int"(%arg0, %arg1) :
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(tensor<4x!HLFHE.eint<7>>, tensor<4xi8>) -> !HLFHE.eint<7>
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return %ret : !HLFHE.eint<7>
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}
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""",
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([1, 2, 3, 4], [4, 3, 2, 1]),
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20,
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),
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],
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)
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def test_compile_and_run(mlir_input, args, expected_result):
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engine = CompilerEngine()
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engine.compile_fhe(mlir_input)
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assert engine.run(*args) == expected_result
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@pytest.mark.parametrize(
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"mlir_input, args, expected_result, tab_size",
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[
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(
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"""
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func @main(%arg0: !HLFHE.eint<7>) -> !HLFHE.eint<7> {
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%tlu = std.constant dense<[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]> : tensor<128xi64>
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%1 = "HLFHE.apply_lookup_table"(%arg0, %tlu): (!HLFHE.eint<7>, tensor<128xi64>) -> (!HLFHE.eint<7>)
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return %1: !HLFHE.eint<7>
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}
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""",
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(73,),
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73,
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128,
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),
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],
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)
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def test_compile_and_run_tlu(mlir_input, args, expected_result, tab_size):
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engine = CompilerEngine()
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engine.compile_fhe(mlir_input)
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assert abs(engine.run(*args) - expected_result) / tab_size < 0.1
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