Пример #1
0
    def test_bint(self):
        # type: () -> None
        x = Var('x')
        y = Var('y')
        z = Var('z')
        w = Var('w')
        v = Var('v')
        u = Var('u')

        r = Rtl(
            z << iadd(x, y),
            w << bint(v),
            u << iadd(z, w)
        )
        r1 = r.copy({})
        s = r.substitution(r1, {})

        s[x].set_typevar(TypeVar.singleton(i32.by(8)))
        s[z].set_typevar(TypeVar.singleton(i32.by(8)))
        # TODO: Relax this to simd=True
        s[v].set_typevar(TypeVar('v', '', bools=(1, 1), simd=(8, 8)))
        r1.cleanup_concrete_rtl()

        assert s is not None
        assert s[x].get_typevar().singleton_type() == i32.by(8)
        assert s[y].get_typevar().singleton_type() == i32.by(8)
        assert s[z].get_typevar().singleton_type() == i32.by(8)
        assert s[w].get_typevar().singleton_type() == i32.by(8)
        assert s[u].get_typevar().singleton_type() == i32.by(8)
        assert s[v].get_typevar().singleton_type() == b1.by(8)
Пример #2
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 def setUp(self):
     # type: () -> None
     self.v0 = Var("v0")
     self.v1 = Var("v1")
     self.v2 = Var("v2")
     self.v3 = Var("v3")
     self.v4 = Var("v4")
     self.v5 = Var("v5")
     self.v6 = Var("v6")
     self.v7 = Var("v7")
     self.v8 = Var("v8")
     self.v9 = Var("v9")
     self.imm0 = Var("imm0")
     self.IxN_nonscalar = TypeVar("IxN_nonscalar",
                                  "",
                                  ints=True,
                                  scalars=False,
                                  simd=True)
     self.TxN = TypeVar("TxN",
                        "",
                        ints=True,
                        bools=True,
                        floats=True,
                        scalars=False,
                        simd=True)
     self.b1 = TypeVar.singleton(b1)
Пример #3
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    def test_vselect_icmpimm(self):
        # type: () -> None
        x = Var('x')
        y = Var('y')
        z = Var('z')
        w = Var('w')
        v = Var('v')
        zeroes = Var('zeroes')
        imm0 = Var("imm0")

        r = Rtl(
                zeroes << iconst(imm0),
                y << icmp(intcc.eq, x, zeroes),
                v << vselect(y, z, w),
        )
        r1 = r.copy({})

        s = r.substitution(r1, {})
        s[zeroes].set_typevar(TypeVar.singleton(i32.by(4)))
        s[z].set_typevar(TypeVar.singleton(f32.by(4)))

        r1.cleanup_concrete_rtl()

        assert s is not None
        assert s[zeroes].get_typevar().singleton_type() == i32.by(4)
        assert s[x].get_typevar().singleton_type() == i32.by(4)
        assert s[y].get_typevar().singleton_type() == b32.by(4)
        assert s[z].get_typevar().singleton_type() == f32.by(4)
        assert s[w].get_typevar().singleton_type() == f32.by(4)
        assert s[v].get_typevar().singleton_type() == f32.by(4)
Пример #4
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    def test_cleanup_concrete_rtl_ireduce_bad(self):
        # type: () -> None
        x = Var('x')
        y = Var('y')
        x.set_typevar(TypeVar.singleton(i16.by(1)))
        r = Rtl(
                y << ireduce(x),
        )

        with self.assertRaises(AssertionError):
            r.cleanup_concrete_rtl()
Пример #5
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    def test_cleanup_concrete_rtl_ireduce(self):
        # type: () -> None
        x = Var('x')
        y = Var('y')
        r = Rtl(
                y << ireduce(x),
        )
        r1 = r.copy({})
        s = r.substitution(r1, {})
        s[x].set_typevar(TypeVar.singleton(i8.by(2)))
        r1.cleanup_concrete_rtl()

        assert s is not None
        assert s[x].get_typevar().singleton_type() == i8.by(2)
        assert s[y].get_typevar().singleton_type() == i8.by(2)
Пример #6
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 def setUp(self):
     # type: () -> None
     self.v0 = Var("v0")
     self.v1 = Var("v1")
     self.v2 = Var("v2")
     self.v3 = Var("v3")
     self.v4 = Var("v4")
     self.v5 = Var("v5")
     self.v6 = Var("v6")
     self.v7 = Var("v7")
     self.v8 = Var("v8")
     self.v9 = Var("v9")
     self.imm0 = Var("imm0")
     self.IxN_nonscalar = TypeVar("IxN_nonscalar", "", ints=True,
                                  scalars=False, simd=True)
     self.TxN = TypeVar("TxN", "", ints=True, bools=True, floats=True,
                        scalars=False, simd=True)
     self.b1 = TypeVar.singleton(b1)
Пример #7
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    def test_cleanup_concrete_rtl(self):
        # type: () -> None
        typ = i64.by(4)
        x = Var('x')
        lo = Var('lo')
        hi = Var('hi')

        r = Rtl(
                (lo, hi) << vsplit(x),
        )
        r1 = r.copy({})
        s = r.substitution(r1, {})

        s[x].set_typevar(TypeVar.singleton(typ))
        r1.cleanup_concrete_rtl()
        assert s is not None
        assert s[x].get_typevar().singleton_type() == typ
        assert s[lo].get_typevar().singleton_type() == i64.by(2)
        assert s[hi].get_typevar().singleton_type() == i64.by(2)
Пример #8
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"""
Supplementary instruction definitions for Intel.

This module defines additional instructions that are useful only to the Intel
target ISA.
"""

from cdsl.operands import Operand
from cdsl.typevar import TypeVar
from cdsl.instructions import Instruction, InstructionGroup

GROUP = InstructionGroup("x86", "Intel-specific instruction set")

iWord = TypeVar('iWord', 'A scalar integer machine word', ints=(32, 64))

nlo = Operand('nlo', iWord, doc='Low part of numerator')
nhi = Operand('nhi', iWord, doc='High part of numerator')
d = Operand('d', iWord, doc='Denominator')
q = Operand('q', iWord, doc='Quotient')
r = Operand('r', iWord, doc='Remainder')

udivmodx = Instruction('x86_udivmodx',
                       r"""
        Extended unsigned division.

        Concatenate the bits in `nhi` and `nlo` to form the numerator.
        Interpret the bits as an unsigned number and divide by the unsigned
        denominator `d`. Trap when `d` is zero or if the quotient is larger
        than the range of the output.

        Return both quotient and remainder.
Useful semantics "macro" instructions built on top of
the primitives.
"""
from __future__ import absolute_import
from cdsl.operands import Operand
from cdsl.typevar import TypeVar
from cdsl.instructions import Instruction, InstructionGroup
from base.types import b1
from base.immediates import imm64
from cdsl.ast import Var
from cdsl.xform import Rtl
from semantics.primitives import bv_from_imm64, bvite
import base.formats  # noqa

GROUP = InstructionGroup("primitive_macros", "Semantic macros instruction set")
AnyBV = TypeVar('AnyBV', bitvecs=True, doc="")
x = Var('x')
y = Var('y')
imm = Var('imm')
a = Var('a')

#
# Bool-to-bv1
#
BV1 = TypeVar("BV1", bitvecs=(1, 1), doc="")
bv1_op = Operand('bv1_op', BV1, doc="")
cond_op = Operand("cond", b1, doc="")
bool2bv = Instruction('bool2bv',
                      r"""Convert a b1 value to a 1-bit BV""",
                      ins=cond_op,
                      outs=bv1_op)
This module defines a primitive instruction set, in terms of which the base set
is described. Most instructions in this set correspond 1-1 with an SMTLIB
bitvector function.
"""
from __future__ import absolute_import
from cdsl.operands import Operand
from cdsl.typevar import TypeVar
from cdsl.instructions import Instruction, InstructionGroup
from cdsl.ti import WiderOrEq
from base.types import b1
from base.immediates import imm64
import base.formats  # noqa

GROUP = InstructionGroup("primitive", "Primitive instruction set")

BV = TypeVar('BV', 'A bitvector type.', bitvecs=True)
BV1 = TypeVar('BV1', 'A single bit bitvector.', bitvecs=(1, 1))
Real = TypeVar('Real',
               'Any real type.',
               ints=True,
               floats=True,
               bools=True,
               simd=True)

x = Operand('x', BV, doc="A semantic value X")
y = Operand('x', BV, doc="A semantic value Y (same width as X)")
a = Operand('a', BV, doc="A semantic value A (same width as X)")
cond = Operand('b', TypeVar.singleton(b1), doc='A b1 value')

real = Operand('real', Real, doc="A real cranelift value")
fromReal = Operand('fromReal',
Пример #11
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from cdsl.ti import WiderOrEq
from base.types import b1
from base.immediates import imm64
import base.formats # noqa

GROUP = InstructionGroup("primitive", "Primitive instruction set")

BV = TypeVar('BV', 'A bitvector type.', bitvecs=True)
BV1 = TypeVar('BV1', 'A single bit bitvector.', bitvecs=(1, 1))
Real = TypeVar('Real', 'Any real type.', ints=True, floats=True,
               bools=True, simd=True)

x = Operand('x', BV, doc="A semantic value X")
y = Operand('x', BV, doc="A semantic value Y (same width as X)")
a = Operand('a', BV, doc="A semantic value A (same width as X)")
cond = Operand('b', TypeVar.singleton(b1), doc='A b1 value')

real = Operand('real', Real, doc="A real cretonne value")
fromReal = Operand('fromReal', Real.to_bitvec(),
                   doc="A real cretonne value converted to a BV")

#
# BV Conversion/Materialization
#
prim_to_bv = Instruction(
        'prim_to_bv', r"""
        Convert an SSA Value to a flat bitvector
        """,
        ins=(real), outs=(fromReal))

prim_from_bv = Instruction(
Пример #12
0
This module defines the basic Cretonne instruction set that all targets
support.
"""
from __future__ import absolute_import
from cdsl.operands import Operand, VARIABLE_ARGS
from cdsl.typevar import TypeVar
from cdsl.instructions import Instruction, InstructionGroup
from base.types import i8, f32, f64, b1
from base.immediates import imm64, uimm8, ieee32, ieee64, immvector
from base.immediates import intcc, floatcc
from base import entities
import base.formats  # noqa

GROUP = InstructionGroup("base", "Shared base instruction set")

Int = TypeVar('Int', 'A scalar or vector integer type', ints=True, simd=True)
iB = TypeVar('iB', 'A scalar integer type', ints=True)
iAddr = TypeVar('iAddr', 'An integer address type', ints=(32, 64))
Testable = TypeVar('Testable',
                   'A scalar boolean or integer type',
                   ints=True,
                   bools=True)
TxN = TypeVar('TxN',
              'A SIMD vector type',
              ints=True,
              floats=True,
              bools=True,
              scalars=False,
              simd=True)
Any = TypeVar('Any',
              'Any integer, float, or boolean scalar or vector type',