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* [RFC/PATCH] Remove the workaround for _Float128 precision [PR107299]
@ 2022-12-21  9:02 Kewen.Lin
  2022-12-21 21:24 ` Segher Boessenkool
  0 siblings, 1 reply; 14+ messages in thread
From: Kewen.Lin @ 2022-12-21  9:02 UTC (permalink / raw)
  To: GCC Patches
  Cc: Michael Meissner, Segher Boessenkool, David Edelsohn,
	Jakub Jelinek, Joseph Myers, Peter Bergner, Richard Biener,
	Richard Sandiford

Hi,

This a different attempt from Mike's approach[1][2] to fix the
issue in PR107299.  With option -mabi=ieeelongdouble specified,
type long double (and __float128) and _Float128 have the same
mode TFmode, but they have different type precisions, it causes
the assertion to fail in function fold_using_range::fold_stmt.
IMHO, it's not sensible that two types have the same mode but
different precisions.  By tracing where we make type _Float128
have different precision from the precision of its mode, I found
it's from a work around for rs6000 KFmode.  Being curious why
we need this work around, I disabled it and tested it with some
combinations as below, but all were bootstrapped and no
regression failures were observed.

  - BE Power8 with --with-long-double-format=ibm
  - LE Power9 with --with-long-double-format=ibm
  - LE Power10 with --with-long-double-format=ibm
  - x86_64-redhat-linux
  - aarch64-linux-gnu

For LE Power10 with --with-long-double-format=ieee, since it
suffered the bootstrapping issue, I compared the regression
testing results with the one from Mike's approach.  The
comparison result showed this approach can have several more
test cases pass and no cases regressed, they are:

1) libstdc++:

  FAIL->PASS: std/format/arguments/args.cc (test for excess errors)
  FAIL->PASS: std/format/error.cc (test for excess errors)
  FAIL->PASS: std/format/formatter/requirements.cc (test for excess errors)
  FAIL->PASS: std/format/functions/format.cc (test for excess errors)
  FAIL->PASS: std/format/functions/format_to_n.cc (test for excess errors)
  FAIL->PASS: std/format/functions/size.cc (test for excess errors)
  FAIL->PASS: std/format/functions/vformat_to.cc (test for excess errors)
  FAIL->PASS: std/format/parse_ctx.cc (test for excess errors)
  FAIL->PASS: std/format/string.cc (test for excess errors)
  FAIL->PASS: std/format/string_neg.cc (test for excess errors)

  Caused by the same reason: one static assertion fail in header
  file format (_Type is __ieee128):

    static_assert(__format::__formattable_with<_Type, _Context>);

2) gfortran:

  NA->PASS: gfortran.dg/c-interop/typecodes-array-float128.f90
  NA->PASS: gfortran.dg/c-interop/typecodes-scalar-float128.f90
  NA->PASS: gfortran.dg/PR100914.f90

  Due to that the effective target `fortran_real_c_float128`
  checking fails, fail to compile below source with error msg:
  "Error: Kind -4 not supported for type REAL".

    use iso_c_binding
    real(kind=c_float128) :: x
    x = cos (x)
    end

3) g++:

  FAIL->PASS: g++.dg/cpp23/ext-floating1.C  -std=gnu++23

  Due to the static assertion failing:

    static_assert (is_same<decltype (0.0q), __float128>::value);

* compatible with long double

This approach keeps type long double compatible with _Float128
(at -mabi=ieeelongdouble) as before, so for the simple case
like:

  _Float128 foo (long double t) { return t; }

there is no conversion.  See the difference at optimized
dumping:

  with the contrastive approach:

    _Float128 foo (long double a)
    {
      _Float128 _2;

      <bb 2> [local count: 1073741824]:
      _2 = (_Float128) a_1(D);
      return _2;
  }

  with this:

  _Float128 foo (long double a)
  {
      <bb 2> [local count: 1073741824]:
      return a_1(D);
  }

IMHO, it's still good to keep _Float128 and __float128
compatible with long double, to get rid of those useless
type conversions.

Besides, this approach still takes TFmode attribute type
as type long double, while the contrastive approach takes
TFmode attribute type as type _Float128, whose corresponding
mode isn't TFmode, the inconsistence seems not good.

As above, I wonder if we can consider this approach which
makes type _Float128 have the same precision as MODE_PRECISION
of its mode, it keeps the previous implementation to make type
long double compatible with _Float128.  Since the REAL_MODE_FORMAT
of the mode still holds the information, even if some place which
isn't covered in the above testing need the actual precision, we
can still retrieve the actual precision with that.

Any thoughts?

[1] https://gcc.gnu.org/pipermail/gcc-patches/2022-November/604834.html
[2] v3 https://gcc.gnu.org/pipermail/gcc-patches/2022-December/608513.html

BR,
Kewen
-----
	PR target/107299

gcc/ChangeLog:

	* tree.cc (build_common_tree_nodes): Remove workaround for rs6000
	KFmode.
---
 gcc/tree.cc | 9 ---------
 1 file changed, 9 deletions(-)

diff --git a/gcc/tree.cc b/gcc/tree.cc
index 254b2373dcf..cbae14d095e 100644
--- a/gcc/tree.cc
+++ b/gcc/tree.cc
@@ -9442,15 +9442,6 @@ build_common_tree_nodes (bool signed_char)
       if (!targetm.floatn_mode (n, extended).exists (&mode))
 	continue;
       int precision = GET_MODE_PRECISION (mode);
-      /* Work around the rs6000 KFmode having precision 113 not
-	 128.  */
-      const struct real_format *fmt = REAL_MODE_FORMAT (mode);
-      gcc_assert (fmt->b == 2 && fmt->emin + fmt->emax == 3);
-      int min_precision = fmt->p + ceil_log2 (fmt->emax - fmt->emin);
-      if (!extended)
-	gcc_assert (min_precision == n);
-      if (precision < min_precision)
-	precision = min_precision;
       FLOATN_NX_TYPE_NODE (i) = make_node (REAL_TYPE);
       TYPE_PRECISION (FLOATN_NX_TYPE_NODE (i)) = precision;
       layout_type (FLOATN_NX_TYPE_NODE (i));
--
2.27.0


^ permalink raw reply	[flat|nested] 14+ messages in thread

end of thread, other threads:[~2023-01-11 20:26 UTC | newest]

Thread overview: 14+ messages (download: mbox.gz / follow: Atom feed)
-- links below jump to the message on this page --
2022-12-21  9:02 [RFC/PATCH] Remove the workaround for _Float128 precision [PR107299] Kewen.Lin
2022-12-21 21:24 ` Segher Boessenkool
2022-12-21 21:40   ` Joseph Myers
2022-12-21 22:45     ` Jakub Jelinek
2022-12-22  6:37     ` Kewen.Lin
2022-12-22 18:18     ` Segher Boessenkool
2022-12-22 19:48       ` Joseph Myers
2022-12-22 22:09         ` Segher Boessenkool
2023-01-03 23:27     ` Michael Meissner
2023-01-07  0:41     ` Michael Meissner
2023-01-10  3:21       ` Michael Meissner
2023-01-10 18:23         ` Jakub Jelinek
2023-01-11 20:26           ` Michael Meissner
2022-12-22  6:07   ` Kewen.Lin

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