diff options
| author | Ralf Jung <post@ralfj.de> | 2025-09-02 17:17:19 +0200 |
|---|---|---|
| committer | Ralf Jung <post@ralfj.de> | 2025-09-03 08:48:38 +0200 |
| commit | 9f0b2a2df41a517412f5e2d404cbabc73be665de (patch) | |
| tree | 63e37af476039d04f77a745670d35608096b6c5a | |
| parent | d4f861ecb6319e1db20d20e3cc5ddab84b4aaade (diff) | |
| download | rust-9f0b2a2df41a517412f5e2d404cbabc73be665de.tar.gz rust-9f0b2a2df41a517412f5e2d404cbabc73be665de.zip | |
fix mangitude of applied float error
| -rw-r--r-- | src/tools/miri/src/intrinsics/mod.rs | 49 | ||||
| -rw-r--r-- | src/tools/miri/src/machine.rs | 2 | ||||
| -rw-r--r-- | src/tools/miri/src/math.rs | 67 | ||||
| -rw-r--r-- | src/tools/miri/tests/pass/float.rs | 7 | ||||
| -rw-r--r-- | src/tools/miri/tests/pass/float_extra_rounding_error.rs | 10 | ||||
| -rw-r--r-- | src/tools/miri/tests/pass/shims/x86/rounding-error.rs | 37 |
6 files changed, 103 insertions, 69 deletions
diff --git a/src/tools/miri/src/intrinsics/mod.rs b/src/tools/miri/src/intrinsics/mod.rs index b5e81460773..5e46768b0e6 100644 --- a/src/tools/miri/src/intrinsics/mod.rs +++ b/src/tools/miri/src/intrinsics/mod.rs @@ -10,7 +10,7 @@ use rustc_abi::Size; use rustc_apfloat::ieee::{IeeeFloat, Semantics}; use rustc_apfloat::{self, Float, Round}; use rustc_middle::mir; -use rustc_middle::ty::{self, FloatTy, ScalarInt}; +use rustc_middle::ty::{self, FloatTy}; use rustc_span::{Symbol, sym}; use self::atomic::EvalContextExt as _; @@ -230,7 +230,7 @@ pub trait EvalContextExt<'tcx>: crate::MiriInterpCxExt<'tcx> { let res = apply_random_float_error_ulp( this, res, - 2, // log2(4) + 4, ); // Clamp the result to the guaranteed range of this function according to the C standard, @@ -274,7 +274,7 @@ pub trait EvalContextExt<'tcx>: crate::MiriInterpCxExt<'tcx> { let res = apply_random_float_error_ulp( this, res, - 2, // log2(4) + 4, ); // Clamp the result to the guaranteed range of this function according to the C standard, @@ -336,9 +336,7 @@ pub trait EvalContextExt<'tcx>: crate::MiriInterpCxExt<'tcx> { // Apply a relative error of 4ULP to introduce some non-determinism // simulating imprecise implementations and optimizations. - apply_random_float_error_ulp( - this, res, 2, // log2(4) - ) + apply_random_float_error_ulp(this, res, 4) }); let res = this.adjust_nan(res, &[f1, f2]); this.write_scalar(res, dest)?; @@ -354,9 +352,7 @@ pub trait EvalContextExt<'tcx>: crate::MiriInterpCxExt<'tcx> { // Apply a relative error of 4ULP to introduce some non-determinism // simulating imprecise implementations and optimizations. - apply_random_float_error_ulp( - this, res, 2, // log2(4) - ) + apply_random_float_error_ulp(this, res, 4) }); let res = this.adjust_nan(res, &[f1, f2]); this.write_scalar(res, dest)?; @@ -373,9 +369,7 @@ pub trait EvalContextExt<'tcx>: crate::MiriInterpCxExt<'tcx> { // Apply a relative error of 4ULP to introduce some non-determinism // simulating imprecise implementations and optimizations. - apply_random_float_error_ulp( - this, res, 2, // log2(4) - ) + apply_random_float_error_ulp(this, res, 4) }); let res = this.adjust_nan(res, &[f]); this.write_scalar(res, dest)?; @@ -391,9 +385,7 @@ pub trait EvalContextExt<'tcx>: crate::MiriInterpCxExt<'tcx> { // Apply a relative error of 4ULP to introduce some non-determinism // simulating imprecise implementations and optimizations. - apply_random_float_error_ulp( - this, res, 2, // log2(4) - ) + apply_random_float_error_ulp(this, res, 4) }); let res = this.adjust_nan(res, &[f]); this.write_scalar(res, dest)?; @@ -448,7 +440,7 @@ pub trait EvalContextExt<'tcx>: crate::MiriInterpCxExt<'tcx> { } // Apply a relative error of 4ULP to simulate non-deterministic precision loss // due to optimizations. - let res = apply_random_float_error_to_imm(this, res, 2 /* log2(4) */)?; + let res = crate::math::apply_random_float_error_to_imm(this, res, 4)?; this.write_immediate(*res, dest)?; } @@ -486,31 +478,6 @@ pub trait EvalContextExt<'tcx>: crate::MiriInterpCxExt<'tcx> { } } -/// Applies a random ULP floating point error to `val` and returns the new value. -/// So if you want an X ULP error, `ulp_exponent` should be log2(X). -/// -/// Will fail if `val` is not a floating point number. -fn apply_random_float_error_to_imm<'tcx>( - ecx: &mut MiriInterpCx<'tcx>, - val: ImmTy<'tcx>, - ulp_exponent: u32, -) -> InterpResult<'tcx, ImmTy<'tcx>> { - let scalar = val.to_scalar_int()?; - let res: ScalarInt = match val.layout.ty.kind() { - ty::Float(FloatTy::F16) => - apply_random_float_error_ulp(ecx, scalar.to_f16(), ulp_exponent).into(), - ty::Float(FloatTy::F32) => - apply_random_float_error_ulp(ecx, scalar.to_f32(), ulp_exponent).into(), - ty::Float(FloatTy::F64) => - apply_random_float_error_ulp(ecx, scalar.to_f64(), ulp_exponent).into(), - ty::Float(FloatTy::F128) => - apply_random_float_error_ulp(ecx, scalar.to_f128(), ulp_exponent).into(), - _ => bug!("intrinsic called with non-float input type"), - }; - - interp_ok(ImmTy::from_scalar_int(res, val.layout)) -} - /// For the intrinsics: /// - sinf32, sinf64 /// - cosf32, cosf64 diff --git a/src/tools/miri/src/machine.rs b/src/tools/miri/src/machine.rs index 7802a58f112..e0ee9541948 100644 --- a/src/tools/miri/src/machine.rs +++ b/src/tools/miri/src/machine.rs @@ -1278,7 +1278,7 @@ impl<'tcx> Machine<'tcx> for MiriMachine<'tcx> { ecx: &mut InterpCx<'tcx, Self>, val: ImmTy<'tcx>, ) -> InterpResult<'tcx, ImmTy<'tcx>> { - crate::math::apply_random_float_error_to_imm(ecx, val, 2 /* log2(4) */) + crate::math::apply_random_float_error_to_imm(ecx, val, 4) } #[inline(always)] diff --git a/src/tools/miri/src/math.rs b/src/tools/miri/src/math.rs index dd994b03f5d..604d6c0fd73 100644 --- a/src/tools/miri/src/math.rs +++ b/src/tools/miri/src/math.rs @@ -6,10 +6,6 @@ use rustc_middle::ty::{self, FloatTy, ScalarInt}; use crate::*; /// Disturbes a floating-point result by a relative error in the range (-2^scale, 2^scale). -/// -/// For a 2^N ULP error, you can use an `err_scale` of `-(F::PRECISION - 1 - N)`. -/// In other words, a 1 ULP (absolute) error is the same as a `2^-(F::PRECISION-1)` relative error. -/// (Subtracting 1 compensates for the integer bit.) pub(crate) fn apply_random_float_error<F: rustc_apfloat::Float>( ecx: &mut crate::MiriInterpCx<'_>, val: F, @@ -17,11 +13,13 @@ pub(crate) fn apply_random_float_error<F: rustc_apfloat::Float>( ) -> F { if !ecx.machine.float_nondet || matches!(ecx.machine.float_rounding_error, FloatRoundingErrorMode::None) + // relative errors don't do anything to zeros... avoid messing up the sign + || val.is_zero() { return val; } - let rng = ecx.machine.rng.get_mut(); + // Generate a random integer in the range [0, 2^PREC). // (When read as binary, the position of the first `1` determines the exponent, // and the remaining bits fill the mantissa. `PREC` is one plus the size of the mantissa, @@ -37,43 +35,66 @@ pub(crate) fn apply_random_float_error<F: rustc_apfloat::Float>( let err = r.scalbn(err_scale.strict_sub(F::PRECISION.try_into().unwrap())); // give it a random sign let err = if rng.random() { -err } else { err }; - // multiple the value with (1+err) - (val * (F::from_u128(1).value + err).value).value + // Compute `val*(1+err)`, distributed out as `val + val*err` to avoid the imprecise addition + // error being amplified by multiplication. + (val + (val * err).value).value } -/// [`apply_random_float_error`] gives instructions to apply a 2^N ULP error. -/// This function implements these instructions such that applying a 2^N ULP error is less error prone. -/// So for a 2^N ULP error, you would pass N as the `ulp_exponent` argument. +/// Applies an error of `[-N, +N]` ULP to the given value. pub(crate) fn apply_random_float_error_ulp<F: rustc_apfloat::Float>( ecx: &mut crate::MiriInterpCx<'_>, val: F, - ulp_exponent: u32, + max_error: u32, ) -> F { - let n = i32::try_from(ulp_exponent) - .expect("`err_scale_for_ulp`: exponent is too large to create an error scale"); - // we know this fits - let prec = i32::try_from(F::PRECISION).unwrap(); - let err_scale = -(prec - n - 1); - apply_random_float_error(ecx, val, err_scale) + // We could try to be clever and reuse `apply_random_float_error`, but that is hard to get right + // (see <https://github.com/rust-lang/miri/pull/4558#discussion_r2316838085> for why) so we + // implement the logic directly instead. + if !ecx.machine.float_nondet + || matches!(ecx.machine.float_rounding_error, FloatRoundingErrorMode::None) + // FIXME: also disturb zeros? That requires a lot more cases in `fixed_float_value` + // and might make the std test suite quite unhappy. + || val.is_zero() + { + return val; + } + let rng = ecx.machine.rng.get_mut(); + + let max_error = i64::from(max_error); + let error = match ecx.machine.float_rounding_error { + FloatRoundingErrorMode::Random => rng.random_range(-max_error..=max_error), + FloatRoundingErrorMode::Max => + if rng.random() { + max_error + } else { + -max_error + }, + FloatRoundingErrorMode::None => unreachable!(), + }; + // If upwards ULP and downwards ULP differ, we take the average. + let ulp = (((val.next_up().value - val).value + (val - val.next_down().value).value).value + / F::from_u128(2).value) + .value; + // Shift the value by N times the ULP + (val + (ulp * F::from_i128(error.into()).value).value).value } -/// Applies a random 16ULP floating point error to `val` and returns the new value. +/// Applies an error of `[-N, +N]` ULP to the given value. /// Will fail if `val` is not a floating point number. pub(crate) fn apply_random_float_error_to_imm<'tcx>( ecx: &mut MiriInterpCx<'tcx>, val: ImmTy<'tcx>, - ulp_exponent: u32, + max_error: u32, ) -> InterpResult<'tcx, ImmTy<'tcx>> { let scalar = val.to_scalar_int()?; let res: ScalarInt = match val.layout.ty.kind() { ty::Float(FloatTy::F16) => - apply_random_float_error_ulp(ecx, scalar.to_f16(), ulp_exponent).into(), + apply_random_float_error_ulp(ecx, scalar.to_f16(), max_error).into(), ty::Float(FloatTy::F32) => - apply_random_float_error_ulp(ecx, scalar.to_f32(), ulp_exponent).into(), + apply_random_float_error_ulp(ecx, scalar.to_f32(), max_error).into(), ty::Float(FloatTy::F64) => - apply_random_float_error_ulp(ecx, scalar.to_f64(), ulp_exponent).into(), + apply_random_float_error_ulp(ecx, scalar.to_f64(), max_error).into(), ty::Float(FloatTy::F128) => - apply_random_float_error_ulp(ecx, scalar.to_f128(), ulp_exponent).into(), + apply_random_float_error_ulp(ecx, scalar.to_f128(), max_error).into(), _ => bug!("intrinsic called with non-float input type"), }; diff --git a/src/tools/miri/tests/pass/float.rs b/src/tools/miri/tests/pass/float.rs index fe7316c6680..2be262d76a4 100644 --- a/src/tools/miri/tests/pass/float.rs +++ b/src/tools/miri/tests/pass/float.rs @@ -39,9 +39,8 @@ macro_rules! assert_approx_eq { }}; ($a:expr, $b: expr) => { - // accept up to 12ULP (4ULP for host floats and 4ULP for miri artificial error and 4 for any additional effects - // due to having multiple error sources. - assert_approx_eq!($a, $b, 12); + // accept up to 8ULP (4ULP for host floats and 4ULP for miri artificial error). + assert_approx_eq!($a, $b, 8); }; } @@ -176,6 +175,7 @@ fn assert_eq_msg<T: PartialEq + Debug>(x: T, y: T, msg: impl Display) { } /// Check that floats have bitwise equality +#[track_caller] fn assert_biteq<F: Float>(a: F, b: F, msg: impl Display) { let ab = a.to_bits(); let bb = b.to_bits(); @@ -189,6 +189,7 @@ fn assert_biteq<F: Float>(a: F, b: F, msg: impl Display) { } /// Check that two floats have equality +#[track_caller] fn assert_feq<F: Float>(a: F, b: F, msg: impl Display) { let ab = a.to_bits(); let bb = b.to_bits(); diff --git a/src/tools/miri/tests/pass/float_extra_rounding_error.rs b/src/tools/miri/tests/pass/float_extra_rounding_error.rs index 73512399f82..24d7cf2ccee 100644 --- a/src/tools/miri/tests/pass/float_extra_rounding_error.rs +++ b/src/tools/miri/tests/pass/float_extra_rounding_error.rs @@ -9,7 +9,7 @@ use std::hint::black_box; fn main() { let expected = cfg_select! { - random => 13, // FIXME: why is it 13? + random => 9, // -4 ..= +4 ULP error max => 2, none => 1, }; @@ -20,4 +20,12 @@ fn main() { values.insert(val.to_bits()); } assert_eq!(values.len(), expected); + + if !cfg!(none) { + // Ensure the smallest and biggest value are 8 ULP apart. + // We can just subtract the raw bit representations for this. + let min = *values.iter().min().unwrap(); + let max = *values.iter().max().unwrap(); + assert_eq!(min.abs_diff(max), 8); + } } diff --git a/src/tools/miri/tests/pass/shims/x86/rounding-error.rs b/src/tools/miri/tests/pass/shims/x86/rounding-error.rs new file mode 100644 index 00000000000..bf56111b2e4 --- /dev/null +++ b/src/tools/miri/tests/pass/shims/x86/rounding-error.rs @@ -0,0 +1,37 @@ +// We're testing x86 target specific features +//@only-target: x86_64 i686 + +//! rsqrt and rcp SSE/AVX operations are approximate. We use that as license to treat them as +//! non-deterministic. Ensure that we do indeed see random results within the expected error bounds. + +#[cfg(target_arch = "x86")] +use std::arch::x86::*; +#[cfg(target_arch = "x86_64")] +use std::arch::x86_64::*; +use std::collections::HashSet; + +fn main() { + let mut vals = HashSet::new(); + for _ in 0..50 { + unsafe { + // Compute the inverse square root of 4.0, four times. + let a = _mm_setr_ps(4.0, 4.0, 4.0, 4.0); + let exact = 0.5; + let r = _mm_rsqrt_ps(a); + let r: [f32; 4] = std::mem::transmute(r); + // Check the results. + for r in r { + vals.insert(r.to_bits()); + // Ensure the relative error is less than 2^-12. + let rel_error = (r - exact) / exact; + let log_error = rel_error.abs().log2(); + assert!( + rel_error == 0.0 || log_error < -12.0, + "got an error of {rel_error} = 2^{log_error}" + ); + } + } + } + // Ensure we saw a bunch of different results. + assert!(vals.len() >= 50); +} |
