On Wed, Jun 11, 2014 at 10:51 AM, Richard Biener
<richard.guent...@gmail.com> wrote:
> On Tue, Jun 10, 2014 at 1:57 PM, Richard Biener
> <richard.guent...@gmail.com> wrote:
>> On Tue, Jun 10, 2014 at 1:06 PM, Prathamesh Kulkarni
>> <bilbotheelffri...@gmail.com> wrote:
>>> On Fri, Jun 6, 2014 at 7:18 PM, Richard Biener
>>> <richard.guent...@gmail.com> wrote:
>>>> On Fri, Jun 6, 2014 at 12:02 PM, Richard Biener
>>>> <richard.guent...@gmail.com> wrote:
>>>>> On Fri, Jun 6, 2014 at 11:02 AM, Prathamesh Kulkarni
>>>>> <bilbotheelffri...@gmail.com> wrote:
>>>>>> On Mon, Jun 2, 2014 at 6:14 PM, Richard Biener
>>>>>> <richard.guent...@gmail.com> wrote:
>>>>>>> On Mon, Jun 2, 2014 at 1:16 PM, Prathamesh Kulkarni
>>>>>>> <bilbotheelffri...@gmail.com> wrote:
>>>>>>>> I have few questions regarding genmatch:
>>>>>>>>
>>>>>>>> a) Why is 4 hard-coded here: ?
>>>>>>>> in write_nary_simplifiers:
>>>>>>>>  fprintf (f, "      tree captures[4] = {};\n");
>>>>>>>
>>>>>>> Magic number (this must be big enough for all cases ...).  Honestly
>>>>>>> this should be improved (but requires another scan over the matcher IL
>>>>>>> to figure out the max N used in @N).
>>>>>>>
>>>>>>>> b) Should we add syntax for a symbol to denote multiple operators ?
>>>>>>>> For exampleim in simplify_rotate:
>>>>>>>> (X << CNT1) OP (X >> CNT2) with OP being +, |, ^  (CNT1 + CNT2 ==
>>>>>>>> bitsize of type of X).
>>>>>>>
>>>>>>> Something to enhance the IL with, yes.  I'd say we support
>>>>>>>
>>>>>>> (define_op additive PLUS_EXPR MINUS_EXPR POINTER_PLUS_EXPR)
>>>>>>>
>>>>>>> thus,
>>>>>>>
>>>>>>> (define_op <operator-name> op...)
>>>>>>>
>>>>>>>> c) Remove for parsing capture in parse_expr since we reject outermost
>>>>>>>> captured expressions ?
>>>>>>>
>>>>>>> but parse_expr is also used for inner expressions, no?
>>>>>>>
>>>>>>> (plus (minus@2 @0 @1) @3)
>>>>>>>
>>>>>>> should still work
>>>>>>>
>>>>>>>> d) I am not able to follow this comment in match.pd:
>>>>>>>> /* Patterns required to avoid SCCVN testsuite regressions.  */
>>>>>>>>
>>>>>>>> /* (x >> 31) & 1 -> (x >> 31).  Folding in fold-const is more
>>>>>>>>    complicated here, it does
>>>>>>>>      Fold (X << C1) & C2 into (X << C1) & (C2 | ((1 << C1) - 1))
>>>>>>>>      (X >> C1) & C2 into (X >> C1) & (C2 | ~((type) -1 >> C1))
>>>>>>>>      if the new mask might be further optimized.  */
>>>>>>>> (match_and_simplify
>>>>>>>>   (bit_and (rshift@0 @1 INTEGER_CST_P@2) integer_onep)
>>>>>>>>   if (compare_tree_int (@2, TYPE_PRECISION (TREE_TYPE (@1)) - 1) == 0)
>>>>>>>>   @0)
>>>>>>>
>>>>>>> The comment is literally copied from the case I extracted the
>>>>>>> (simplified) variant from fold-const.c.  See lines 11961-12056 in 
>>>>>>> fold-const.c.
>>>>>>> It'll be a challenge to implement the equivalent in a pattern ;)
>>>>>>>
>>>>>>>>
>>>>>>>> Decision Tree.
>>>>>>>>     I have tried to come up with a prototype for decision tree (patch 
>>>>>>>> attached).
>>>>>>>> For simplicity, it handles patterns involving only unary operators and
>>>>>>>> no predicates
>>>>>>>> and returns false when the pattern fails to match (no goto to match
>>>>>>>> another pattern).
>>>>>>>> I meant to post it only for illustration, and I have not really paid
>>>>>>>> attention to code quality (bad formatting, memory leaks, etc.).
>>>>>>>>
>>>>>>>> * Basic Idea
>>>>>>>> A pattern consists of following parts: match, ifexpr and result.
>>>>>>>> Let's call <ifexpr, result> as "simplification" operand.
>>>>>>>> The common prefix between different match operands would be represented
>>>>>>>> by same nodes in the decision tree.
>>>>>>>>
>>>>>>>> Example:
>>>>>>>> (negate (bit_not @0))
>>>>>>>> S1
>>>>>>>>
>>>>>>>> (negate (negate @0))
>>>>>>>> S2
>>>>>>>>
>>>>>>>> S1, S2 denote simplifications for the above patterns respectively.
>>>>>>>>
>>>>>>>> The decision tree would look something like
>>>>>>>> (that's the way it gets constructed with the patch):
>>>>>>>>
>>>>>>>>                 dummy/root
>>>>>>>>                         |
>>>>>>>>            NEGATE_EXPR
>>>>>>>>              /                  \
>>>>>>>>      BIT_NOT           NEGATE_EXPR
>>>>>>>>            |                         |
>>>>>>>>          @0                     @0
>>>>>>>>            |                         |
>>>>>>>>          S1                      S2
>>>>>>>>
>>>>>>>> a) The children of an internal node are number of decisions that
>>>>>>>> can be taken at that node. In the above case it's 2 for outer 
>>>>>>>> NEGATE_EXPR.
>>>>>>>> b) Simplification operand represents leaves of the decision tree
>>>>>>>> c) Instead of having list of heads, I have added one dummy node,
>>>>>>>> and heads become children of these dummy root node.
>>>>>>>> d) Code-gen for non-simplification operands involves generating,
>>>>>>>> "matching" code and for simplification operands involves generating
>>>>>>>> "transform" code
>>>>>>>>
>>>>>>>> * Overall Flow:
>>>>>>>> I guess we would build the decision tree from the AST.
>>>>>>>> So the flow would be like:
>>>>>>>> source -> struct simplify (match, ifexpr, result) -> decision tree -> 
>>>>>>>> c code.
>>>>>>>>
>>>>>>>> Something like (in main):
>>>>>>>> decision_tree dt;
>>>>>>>> while (there is another pattern)
>>>>>>>> {
>>>>>>>>   simplify *s = parse_match_and_simplify ();
>>>>>>>>   insert s into decision tree;
>>>>>>>> };
>>>>>>>> So parsing routines are concerned with parsing and building the AST 
>>>>>>>> (operand),
>>>>>>>> and not with the decision tree. Is that fine ?
>>>>>>>
>>>>>>> Yes, that's good.
>>>>>>>
>>>>>>>> * Representation of decision tree.
>>>>>>>> A decision tree would need a way to represent language constructs
>>>>>>>> like capture, predicate, etc. so in some ways it would be similar to 
>>>>>>>> AST.
>>>>>>>> It
>>>>>>>> In the patch, I have created the following heirarchy:
>>>>>>>> dt_operand: represents a general base "operand" of in decision tree
>>>>>>>> dt_expr: for representing expression. Expression contains operation
>>>>>>>> to be performed (e_operation).
>>>>>>>> dt_capture: analogous to capture.
>>>>>>>> dt_simplify: for representing "simplification" operand.
>>>>>>>> simplification consists of ifexpr and result
>>>>>>>> dt_head: to represent "dummy" root. Maybe a separate class is not 
>>>>>>>> needed.
>>>>>>>>
>>>>>>>> * Constructing decision tree from AST
>>>>>>>> The algorithm i have used is similar to inserting string in a trie
>>>>>>>> outlined here: http://en.wikipedia.org/wiki/Trie
>>>>>>>> The difference shall be to traverse AST depth-first rather than
>>>>>>>> traversing the string.
>>>>>>>> Apart from that I guess it would be the same (naturally find and
>>>>>>>> compare operations would be different).
>>>>>>>> I haven't given much thought about this. Currently, I construct
>>>>>>>> decision tree for only patterns with unary operators in an
>>>>>>>> ugly way by "flattening" the AST by walking it in pre-order and
>>>>>>>> storing the nodes in vector in the order they are visited
>>>>>>>>
>>>>>>>> So to construct decision tree from the following AST:
>>>>>>>>           negate
>>>>>>>>               |
>>>>>>>>           bit_not
>>>>>>>>               |
>>>>>>>>              @0
>>>>>>>>
>>>>>>>> AST is flattened by walking in preorder (by walk_operand_preorder) and 
>>>>>>>> stored
>>>>>>>> as: [ expr, expr, capture ]
>>>>>>>> and this vector is used to construct decision tree.
>>>>>>>> I did it as a "quick and dirty" way, it has to be changed.
>>>>>>>> And it won't work for patterns with n-ary operators.
>>>>>>>>
>>>>>>>> We should visit each node of AST in preorder, and add that node
>>>>>>>> during traversal to decision tree. I am not yet clear on way of doing 
>>>>>>>> that.
>>>>>>>>
>>>>>>>> * Comparing operands
>>>>>>>> How do we compare operands ? We shall need to do this while inserting
>>>>>>>> in decision tree, since if the operand is already inserted we do not 
>>>>>>>> create
>>>>>>>> a new node.
>>>>>>>> In the patch (cmp_operand), I have used following rules:
>>>>>>>> a) if types not equal, they are clearly not equal.
>>>>>>>> b) if type is expr, compare operation->op->id
>>>>>>>> c) if type is capture, compare the number.
>>>>>>>> d) for predicate, compare on ident ?
>>>>>>>>
>>>>>>>> * Representing patterns with n-ary operators.
>>>>>>>> Consider following two match operands:
>>>>>>>> (plus (minus @0 @1) @1)
>>>>>>>> (plus (negate @0) @1)
>>>>>>>>
>>>>>>>> In decision tree, it would be represented as:
>>>>>>>>
>>>>>>>>             *********plus*********
>>>>>>>>                /    \          /        \
>>>>>>>>           minus  @1  negate  @1
>>>>>>>>             /     \           |
>>>>>>>>         @0   @1       @0
>>>>>>>>
>>>>>>>> plus has got 4 children - (minus @0 @1), @1, (negate @0), @1.
>>>>>>>> However (minus @0 @1) and @1 are not separate "decisions", but
>>>>>>>> children of plus within the same expression.
>>>>>>>>
>>>>>>>> For calculating number of decisions at an expression node:
>>>>>>>> number of decisions =  number of children / arity of operator.
>>>>>>>> in the above case, number of decision = 4 / 2 = 2
>>>>>>>>
>>>>>>>> For other cases, for instance capture node (the children would be
>>>>>>>> simplification operand),
>>>>>>>> number of decisions = number of children.
>>>>>>>
>>>>>>> Hmm.  I think it should be only two children from the plus,
>>>>>>> as pre-order for the first pattern is for example
>>>>>>> [plus minus @0 @1 @1] so you'd have
>>>>>>>
>>>>>>>    plus
>>>>>>>    /     \
>>>>>>> minus  negate
>>>>>>> |           |
>>>>>>> @0     @0
>>>>>>> |           |
>>>>>>> @1     @1
>>>>>>> |
>>>>>>> @1
>>>>>>>
>>>>>>> instead?
>>>>>>>
>>>>>>> Note that you probably have to deal with non-matching capture
>>>>>>> IDs by re-writing them on-the-fly.  That is, the two
>>>>>>> pre-oder traversals [plus minus @1 ...] and [plus minus @0 ...]
>>>>>>> should commonize with renaming the non-matching capture
>>>>>>> somehow.
>>>>>> Um, could you please elaborate on that (non-matching capture ?),
>>>>>> I am not sure if I understood it fully, thanks.
>>>>>
>>>>> I'm worried about
>>>>>
>>>>> (plus (minus@1 @2 @3) @2)
>>>>>
>>>>> vs.
>>>>>
>>>>> (plus (minus @1 @2) @1)
>>>>>
>>>>> (just made-up examples, of course).  Here we'd like to
>>>>> commonize the path checking for (plus (minus ...) ... but
>>>>> of course we can't easily process the captures at that point
>>>>> as the first has two captures (it captures the minus itself while
>>>>> the 2nd doesn't) and the captures that are at the same position
>>>>> use different indexes.  To finally match the minus we have to
>>>>> verify that in one case @2 == @2 and in the other case that
>>>>> @1 == @1.
>>>>>
>>>>> Re-numbering capture indexes in pre-order would improve things
>>>>> for the case where capture positions are in the same places but
>>>>> the indexes do not match.  It won't handle the above case
>>>>> of course.
>>> Thanks, I understand it now -:)
>>
>> I suppose that it would be best (in the end) to not insert the
>> captures into the decision tree separately but leave them
>> "combined" and then only after the decision tree is fully built
>> decide on re-numbering.  And treat those that are required for
>> the matching process differently (those that assert that two
>> ops are equal).
>>
>> I think we can defer the issue to later.
>>
>>>>>
>>>>>> I have attached patch for patterns with binary operators (in principle
>>>>>> should work for n-ary operators,
>>>>>> but have only tested upto 2), that creates decision tree for
>>>>>> patterns (excluding predicates, and multiple matching). I don't intend
>>>>>> to commit this (contains many hacks!).
>>>>>>
>>>>>> * Constructing decision tree from AST
>>>>>> We can define our decision tree to store prefixes of preorder
>>>>>> traversals of diffferent AST.
>>>>>> Insertion happens as follows (decision_tree::insert)
>>>>>> a) Get preorder traversal of AST into vector.
>>>>>> b) Insert AST nodes from vector into decision tree.
>>>>>> Currently, I obtain preorder traversal into a vector. We can later
>>>>>> change it to compute
>>>>>> next preorder successor lazily.
>>>>>
>>>>> Just make the code easy to understand, optimizing it should be
>>>>> secondary.
>>>>>
>>>>>> * Code-gen
>>>>>> For n-ary operators, the patch generates code as follows:
>>>>>> if (code == <expr code>)
>>>>>> {
>>>>>>    match operand 0
>>>>>>      match operand 1
>>>>>>         ....
>>>>>>           match operand n-1
>>>>>>             transform
>>>>>>             return true;
>>>>>> }
>>>>>>
>>>>>> * Adding parent, level, pos fields to AST (operand).
>>>>>> One change (hack), I have made to code-gen, is naming of operands that 
>>>>>> are
>>>>>> assigned to gimple_assign_rhs in code-gen of expressions.
>>>>>> I am not sure if this is really needed.
>>>>>>
>>>>>> in AST, we have following representation for expressions:
>>>>>>                       expr-
>>>>>>                      /       \
>>>>>>                   left      right
>>>>>>                operand  operand
>>>>>>
>>>>>> code-gen off AST (expr::gen_gimple_match) produces code like:
>>>>>> {
>>>>>>   tree op = gimple_assign_rhs1 (def_stmt);
>>>>>>   // code-gen for left operand
>>>>>> }
>>>>>> {
>>>>>>   tree op = gimple_assign_rhs2 (def_stmt);
>>>>>>   // code-gen for right operand
>>>>>> }
>>>>>>
>>>>>> We can do this since, in expr::gen_gimple_match, we call
>>>>>> left_operand->gen_gimple_match,
>>>>>> come back to expr::gen_gimple_match (after
>>>>>> left_operand->gen_gimple_match() returns), and
>>>>>> then call right_operand->gen_gimple_match().
>>>>>>
>>>>>> However in decision tree, the expression gets represented as follows:
>>>>>>            expr
>>>>>>              |
>>>>>>            left-operand
>>>>>>              |
>>>>>>            right-operand
>>>>>>
>>>>>> dt_expr::gen_gimple calls left_operand->gen_gimple, which calls
>>>>>> right_operand->gen_gimple,
>>>>>> so we return to dt_expr::gen_gimple, after code is generated for the
>>>>>> whole subtree of expr.
>>>>>>
>>>>>> So I assign operands at the start before generating code for the subtree:
>>>>>> tree op00 = gimple_assign_rhs1 (def_stmt);
>>>>>> tree op10 = gimple_assign_rhs2 (def_stmt);
>>>>>> <code for left-operand>
>>>>>>   <code for right-operand>
>>>>>> each of the operands know their positions, so they know which operand
>>>>>> to use (get_op_name()).
>>>>>> the names are generated as:
>>>>>> op<position><level>, position = index of operand in it's parent's
>>>>>> expr's vector (vec<operand *> ops).
>>>>>> level: level of AST, at which the operand is stored.
>>>>>>
>>>>>> For this I added three fields to operand (unsigned pos, and unsigned
>>>>>> level, operand *parent), and accordingly
>>>>>> made changes to expr::append_op. In a way this is abusing the AST.
>>>>>> This probably works (works with test-cases i tried), but I don't like it 
>>>>>> much.
>>>>>
>>>>> The naming is ok, but indeed it doesn't feel very clean.  Somehow this
>>>>> belongs to the decision tree instead... (but then you need to lookup
>>>>> the decision tree operand info from code-gen which happens off the 
>>>>> AST...).
>>>>>
>>>>>> * Order of matching.
>>>>>> Currently the order of matching operands is strictly 0, 1, .. n - 1
>>>>>> for n-ary operator.
>>>>>> However this might not be the best choice.
>>>>>>
>>>>>> For example, consider following patterns:
>>>>>> (operator  op1  op) S1
>>>>>> (operator  op2 op)  S2
>>>>>>
>>>>>> Both have common operator, and 1st common operand, they differ in 0th 
>>>>>> operand.
>>>>>> With patch, the code generated is:
>>>>>> if (code == <expr-code>)
>>>>>> {
>>>>>>   match op1
>>>>>>      match op
>>>>>>        S1
>>>>>>
>>>>>>   match op2
>>>>>>     match op
>>>>>>       S2
>>>>>> }
>>>>>>
>>>>>> A better ordering would be to match the 1st operand and then
>>>>>> respective 0th operands of both patterns:
>>>>>>
>>>>>> if (code == <expr-code>
>>>>>> {
>>>>>>   match op
>>>>>>     match op1
>>>>>>       S1
>>>>>>     match op0
>>>>>>       S2
>>>>>> }
>>>>>>
>>>>>> This complicates insertion into decision tree.
>>>>>
>>>>> I'd say we leave "optimizing" the decision tree to a later stage - it's a 
>>>>> global
>>>>> optimization problem after all (I believe you can't do optimally with just
>>>>> looking at the present decision tree and the AST you want to insert).
>>>>>
>>>>>> * hack: only one generated gimple_match_and_simplify function
>>>>>> In the patch, I generate code for gimple_match_and_simplify with 3
>>>>>> operands version (op0, op1, op2)
>>>>>> and the other two (unary and binary versions), call it with NULL_TREE
>>>>>> for extra operands.
>>>>>> I will soon change that.
>>>>>>
>>>>>> * Testing patterns.
>>>>>> I think I have written most of the test-cases wrongly in match-2.c
>>>>>> For example this test-case doesn't match
>>>>>> (i haven't checked in "fix testsuite fallout" patch, so this might not 
>>>>>> be true
>>>>>> anymore)
>>>>>>
>>>>>> (match_and_simplify
>>>>>>   plus (minus @0 @1) @1)
>>>>>>   @0)
>>>>>>
>>>>>> for this test-case:
>>>>>> /* (x - y) + y -> x */
>>>>>> int f6(int x, int y)
>>>>>> {
>>>>>>   int t1 = x - y;
>>>>>>   return t1 + y;
>>>>>> }
>>>>>> /* { dg-final { scan-tree-dump "gimple_match_and_simplified to
>>>>>> \[^\n\r\]*= x_\\d\+\\(D\\)" "forwprop1" } } */
>>>>>>
>>>>>> I get following output (tree-forwprop-details):
>>>>>>
>>>>>> ;; Function f6 (f, funcdef_no=0, decl_uid=1744, symbol_order=0)
>>>>>>
>>>>>> gimple_match_and_simplified to _4 = y_2(D) + t1_3;
>>>>>> f (int x, int y)
>>>>>> {
>>>>>>   int t1;
>>>>>>   int _4;
>>>>>>
>>>>>>   <bb 2>:
>>>>>>   t1_3 = x_1(D) - y_2(D);
>>>>>>   _4 = x_1(D);
>>>>>>   return _4;
>>>>>>
>>>>>> }
>>>>>>
>>>>>> Shouldn't it show: gimple_match_and_simplified to _4 = x_1(D) instead ?
>>>>>
>>>>> Yeah.  I suppose you hit the issue that we don't commutate patterns,
>>>>> so try with a commutated pattern inserted.
>>>>>
>>>>>> The issue is this test-case fails in isolation, however it passes when
>>>>>> it is placed with other
>>>>>> test cases that PASS and have same regex in scan-tree-dump as this 
>>>>>> test-case:
>>>>>> scan-tree-dump "gimple_match_and_simplified to \[^\n\r\]*= 
>>>>>> x_\\d\+\\(D\\)"
>>>>>>
>>>>>> Summary:
>>>>>> I think we need to (at-least) deal with following problems for decision 
>>>>>> tree:
>>>>>
>>>>> I have to leave for a while now, I'll come back later and have a detailed
>>>>> look at the patch to try answer the questions below.
>>>>
>>>> Now for the remainder.
>>>>
>>>>>> a) Representation and construction of decision tree from AST -
>>>>>> We do this by storing prefixes of preorder traversals of AST in
>>>>>> decision tree. Do we finalize on that ?
>>>>
>>>> Yes.
>>>>
>>>>>> b) Order of operand matching
>>>>
>>>> I think that's the same as a) - the visiting order of the AST determines
>>>> the order of operand matching.
>>>>
>>>>>> c) Generating patterns for built-in functions (I guess this will be
>>>>>> similar to expr-gen).
>>>>
>>>> It should really be transparent.
>>>>
>>>>>> d) Multiple matching patterns
>>>>
>>>> The decision tree phase leaves us with a sequence of
>>>>
>>>>   if (if-expr of pattern1)
>>>>     transform-pattern1
>>>>   else (if-expr of pattern2)
>>>>     transform-pattern2
>>>> ...
>>>>
>>>> etc.  thus that part should be basically unchanged (only the match
>>>> part is driven by a decision tree).
>>>>
>>>>>> e) Commutative ops
>>>>
>>>> I'd do these as a pass over the AST of each pattern, duplicating
>>>> patterns.
>>>>
>>>> Btw, I see you mirror the AST structure with dt_{node,operand,expr,...}.
>>>> It seems to me that you can simply stick an AST operand * into
>>>> dt_node and be done with just having dt_node?  That is, the AST
>>>> operand refered to contains all necessary information already.
>>>>
>>>>>>
>>>>>> Pattern Enhancements:
>>>>>> Some of these were already discussed, I am jotting them here:
>>>>>> a) Symbol for multiple operators
>>>>>> b) grouping patterns by ifexpr
>>>>>> c) should we have MATCH_FAILED or FAIL to explicitly denote failure in
>>>>>> manual transform (c_expr) ?
>>>>>> d) making operators to be commutative.
>>>>
>>>> I'd say d) would be really nice to have.  Either with a grammar
>>>> extension to say which expression should have commutation applied
>>>> to (for example: (plus! (minus @1 @2) @2) would say that the
>>>> operands of plus should be commutated), or with a simple heuristic.
>>>> I'd say explicitly specifying is better.
>>>>
>>>> a) will probably be needed to avoid pattern explosion.  But similar to d)
>>>> I'd do it as a pre-pass on the AST, duplicating the patterns.  It's
>>>> also a good question how to define its semantic.  The mode-iterators
>>>> that the machine description supports would suggest we do instead
>>>> sth like
>>>>
>>>> (for OP in (plus minus mult)
>>>>   (match_and_simplify
>>>>     (OP @1 integer_zerop)
>>>>     ....))
>>>>
>>>> c) should be easy, I'm going to try sth like that - also setting 
>>>> temporaries
>>>> from the ifexpr and re-using them in the result like
>>>>
>>>>  (match_and_simplify
>>>>    (plus @1 @2)
>>>>    if (INTEGRAL_TYPE_P (TREE_TYPE (@2))
>>>>       && find_better_ops (&@3, &@4, @1, @2))
>>>>    (plus @3 @4))
>>>>
>>>> which also requires us to scan the AST for the highest capture index
>>>> (a good thing anyway, given my hack to statically set the size of
>>>> the captures array ;))
>>>>
>>>> b) I'm not sure it's worth the trouble (apart from doing less typing
>>>> in match.pd).  We're probably going to have GENERIC defined
>>>> when creating the generic routines and GIMPLE when creating
>>>> the gimple routines so we can easily disable patterns for one or
>>>> the other by doing
>>>>
>>>> #ifdef GIMPLE
>>>>  (match_and_simplify
>>>>    ...)
>>>> #endif
>>>>
>>>>>> Once the decision tree is done, I can try working on these.
>>>>>> Till Sunday, I will attempt to have another prototype, that covers
>>>>>> most of the patterns in match.pd
>>>>>> (except for cond_expr, and those requiring GENERIC support), and
>>>>>> accompanying correct test-case
>>>>>> for each pattern. And next-week start working on a fair patch.
>>>>
>>>> Sounds good.
>>> I have attached a patch, that fires most of the patterns from match.pd
>>> except for those that include
>>> non-matching capture or require GENERIC support, and added a test-case
>>> match-decision-tree.c
>>> (fires around 33 patterns).
>>>
>>> * Representation of decision tree:
>>> I clubbed dt_capture, dt_predicate, dt_expr into dt_operand, and added
>>> new gen_gimple_match() function in AST
>>> to generates matching code. dt_operand contains operand *op as member,
>>> and merely calls op->gen_gimple_match.
>>> (that's the intent anyway, in the patch, i needed to put some hacks to
>>> get it working).
>>> In the patch, i have kept: dt_node, dt_operand (dt_node), dt_simplify
>>> (dt_node), to separate matching operand
>>> from simplification (ifexpr, result).
>>>
>>> * Constructing decision tree from AST
>>> Same as previous patch, stores prefixes of preorder traversals of AST.
>>> decision_tree::print() pretty-prints the decision tree.
>>>
>>> I hope we won't need to change much up-to this point in the patch.
>>>
>>> * Code-gen
>>> code gen of (operator op0 op1 ..opN) simplify takes the following form:
>>> if (code == <expr code>)
>>> {
>>>   match op0
>>>     match op1
>>>        ...
>>>          match opN
>>>             simplify
>>>             return true;
>>> }
>>>
>>> a) Scope of temporaries (the ones that are assigned to gimple_assign_rhsX):
>>> for code-gen of expressions off the AST, we create a temporary:
>>>
>>> {
>>> tree op = gimple_assign_rhsX ();
>>> generate code for X'th operand
>>> }
>>>
>>> In the decision tree, an expression can only directly access it's 1st
>>> operand (since it's preorder traversal).
>>> So I decided to first create all temporaries and then generate code
>>> for operands:
>>>
>>> {
>>> tree op0 = gimple_assign_rhs1 ();
>>> tree op1 = gimple_assign_rhs2 ();
>>> tree opX-1 = gimple_assign_rhsX ();
>>>
>>> code for matching 0th operand
>>> code for matching 1st operand
>>> ...
>>> code for matching Nth operand
>>> }
>>>
>>> Unfortunately, this creates a problem if the operand itself is an 
>>> expression,
>>> since it's temporaries would also be named op0, op1 ... they would
>>> shadow the outer op0, op1 .. temporaries.
>>> So we need distinct names for each temporary (for all temps within one 
>>> pattern).
>>> The temporary name is created by:
>>> op<position of child operand><level of tree>;
>>> and each child of AST knows it's position and level, so it can
>>> correctly access it's temp.
>>> This requires adding members operand *parent, unsigned pos, unsigned
>>> level to struct operand.
>>> I have done it this way in the patch, however it doesn't feel clean, I
>>> will try to see if we can change this.
>>>
>>> b) Short-ranged gotos
>>> consider: (negate @0) S1
>>> The code is generated as (with the patch):
>>>
>>> if (code == PLUS)
>>> {
>>>   if (!captures [0])
>>>    {
>>>       captures[0] = op0;
>>>       goto L0;
>>>    }
>>>   else if (captures[0] == op0)
>>>    {
>>> L0:
>>>       // simplification code S1
>>>       return true;
>>>    }
>>> }
>>>
>>> Instead of:
>>> if (!captures[0])
>>>   captures[0] = op0;
>>> else if (captures[0] != op0)
>>>   goto L0;
>>>
>>> // Simplification code S1
>>> return true;
>>>
>>> L0:  // match next pattern
>>>
>>> Generating code the former way is more easier, since location of label
>>> immediately follows
>>> capture code (if (!captures[0]) ...).  In the latter case, I probably
>>> need to store label name in the sibling's node in
>>> the decision tree and then retrieve that.
>>> Similarly for valueize (expr::gen_valueize).
>>
>> But then why not generate
>>
>>   if (!captures[0]
>>       || captures[0] == op0)
>>     {
>>       captures[0] = op0;
>>       // simplification code S1
>>       return true;
>>     }
>>
>> and go without label and goto?  Or did I miss something?
>>
>>> c) Shared captures between all patterns:
>>> In the patch all patterns share the capture array tree captures[4] = {}
>>> (since all match patterns get interleaved in generated code off decision 
>>> tree).
>>> This requires extra code to be generated to make sure captures are
>>> correctly restored for another pattern.
>
> Btw, I see that you back-track the decision tree.  That is, for
>
> root
> |--operand: MINUS_EXPR
> |----operand: PLUS_EXPR
> |------operand: @0
> |--------operand: @1
> |----------operand: @0
> |------------simplify
> |----------operand: @1
> |------------simplify
>
> you do
>
>   if (code == MINUS_EXPR)
>     {
>       tree captures[4] = {};
>       if (TREE_CODE (op0) == SSA_NAME)
>         {
>           gimple def_stmt = SSA_NAME_DEF_STMT (op0);
>           if (is_gimple_assign (def_stmt) && gimple_assign_rhs_code
> (def_stmt) == PLUS_EXPR)
>             {
>               tree op01 = gimple_assign_rhs1 (def_stmt);
>               if (valueize && TREE_CODE (op01) == SSA_NAME)
>                 op01 = valueize (op01);
>               else
>                 goto L0;
>               if (op01)
>                 {
> L0:
>                   tree op11 = gimple_assign_rhs2 (def_stmt);
>                   if (valueize && TREE_CODE (op11) == SSA_NAME)
>                     op11 = valueize (op11);
>                   else
>                     goto L1;
>                   if (op11)
>                     {
> L1:
>                       tree captures_0 = captures[0];
>                       if (!captures[0])
>                         {
>                           captures[0] = op01;
>                           goto L2;
>                         }
>                       else if (captures[0] == op01)
>                         {
> L2:
>                           tree captures_1 = captures[1];
>                           if (!captures[1])
>                             {
>                               captures[1] = op11;
>                               goto L3;
>                             }
>                           else if (captures[1] == op11)
>                             {
> L3:
>                               tree captures_2 = captures[0];
>                               if (!captures[0])
>                                 {
>                                   captures[0] = op1;
>                                   goto L4;
>                                 }
>                               else if (captures[0] == op1)
>                                 {
> L4:
>                                   res_ops[0] = captures[1];
>                                   *res_code = TREE_CODE (res_ops[0]);
>                                   return true;
>                                 }
>                               captures [0] = captures_2;
>                               tree captures_3 = captures[1];
>                               if (!captures[1])
>                                 {
>                                   captures[1] = op1;
>                                   goto L5;
>                                 }
>                               else if (captures[1] == op1)
>                                 {
> L5:
>                                   res_ops[0] = captures[0];
>                                   *res_code = TREE_CODE (res_ops[0]);
>                                   return true;
>                                 }
>                               captures [1] = captures_3;
>                             }
>                           captures [1] = captures_1;
>                         }
>                       captures [0] = captures_0;
>                     }
>                 }
>             }
>         }
>
> but if you processed all children of a decision tree node and didn't
> hit one of the simplifies (which return true) then you know nothing
> else will match and you can just return false.  That early out seems
> to be missing completely and we fall through processing all siblings
> of the parents.
>
> But maybe I am missing something?  I see that if I make capture
> IDs not matching that we'd miss to detect things then (as a
> "first" capture always "matches").
>
> root
> |--operand: MINUS_EXPR
> |----operand: PLUS_EXPR
> |------operand: @0
> |--------operand: @1
> |----------operand: @0
> |------------simplify
> |------operand: @1
> |--------operand: @0
> |----------operand: @0
> |------------simplify
>
> So I suppose we really have to distinguish "first" captures from
> "matching" captures, basically not treating the "first" ones as
> nodes of the decision tree and only populating the capture
> array once we hit the code generation part of a pattern (well,
> or the if-expr).

It's probably a good idea to pre-parse the AST to classify
captures and matches differently.  Given for example

(plus @0 (minus@0 @1 @2))

this would say (well, if we support this), that the plus has two
"same" operands (on GIMPLE the "same" valueized SSA name)
and that this operand is defined by a (minus @1 @2).  But with
the current operator ordering in the decision tree we'd meet
the no-op capture first and the match in an odd position.

In the RTL machine description the matches are more explicit
like

(plus (match @0) (minus@0 @1 @2))

so maybe we want to auto-detect those and rewrite the AST.
Just distinguish between capture-def and capture-ref, where
expression captures are always -def but leafs may be -refs as well.

In the decision tree builder we'd "ignore" -defs and only make
-refs explicit (and the -refs would need to "materialize" the -defs
just like the ifexpr or transform stage).

So I'd say add a flag to struct capture telling whether it's a ref
and compute that via an AST traversal (that should then error
for invalid refs).

In the decision tree I'd keep a vector of operand * and record
a name of a temporary the operand can be accessed via
(in case any of the AST operands represented by the decision tree
node has a capture associated).

You'd still have "empty" leaf captures that would then only record
the value into a temporary.

Eventually you need a back-ref to the decision tree node for
each capture when you insert a new AST traversal so you
can decide whether a match (a capture-ref) refers to the same
decision tree node or not.

Richard.

> There are also opportunities to optimize the generated code, but
> basic correctness first I guess.
>
> I suppose we have to work a bit on the capture stuff.
>
> Btw, you can easily play with the code generator by doing inside
> the gcc build directory
>
> obj/gcc> build/genmatch test.pd > test.c
>
> with a small test.pd. I used the following for the above examples:
>
> (match_and_simplify
>   (MINUS_EXPR (PLUS_EXPR @0 @1) @0)
>   @1)
> (match_and_simplify
>   (MINUS_EXPR (PLUS_EXPR @1 @0) @0)
>   @1)
>
> Richard.
>
>>> I will change this to have capture per pattern
>>> tree captures1[4] = {};  // for pattern-1
>>> tree captures2[4] = {};
>>
>> Hmm, is this the matching captures issue I mentioned?  Btw, I see
>> you do
>>
>> +void
>> +walk_operand_preorder(vec<operand *>& operands, operand *op)
>> +{
>> +  if (op->type == operand::OP_CAPTURE || op->type ==
>> operand::OP_PREDICATE || op->type == operand::OP_C_EXPR)
>> +    {
>> +      operands.safe_push (op);
>> +      return;
>> +    }
>>
>> but that leaves captured expressions as a single operand?
>>
>> (plus (minus@1 @2 @3) @2)
>>
>> would have a decision tree
>>
>>  plus -> minus -> @2
>>
>> correct?
>>
>>> d) Matching multiple patterns.
>>> Code for patterns with same match, but different transforms is
>>> generated as follows:
>>> code for match operand.
>>> if (if-expr of pattern-1)
>>> {
>>>   code for result of pattern-1
>>>   return true;
>>> }
>>> if (if-expr of pattern-2)
>>> {
>>>   code for result of pattern-2
>>>   return true;
>>> }
>>
>> good.
>>
>>> ...
>>> Should we emit a warning for patterns that have same match operand but
>>> no if-expr and no manual transform ?
>>>
>>> for eg:
>>> (match_and_simplify
>>>   (plus (minus @0 @1) @1)
>>>   @0
>>>
>>> (match_and_simplify
>>>   (plus (minus @0 @1) @1)
>>>   @1  // just for illustration
>>>
>>> Since the matching is ambiguous (same match, no if-expr, no manual 
>>> transform).
>>
>> Yeah, I suppose we should.
>>
>>> we are left to choose between result of pattern-1 and result of pattern-2.
>>> We can emit warning and choose result of pattern-1 (first-match rule
>>> as in flex).
>>>
>>> e) Non-matching captures:
>>> Haven't thought about this yet.
>>>
>>> * Should we add "negative" predicates that match only if the predicate 
>>> fails ?
>>> for eg:
>>> (match_and_simplify
>>>   trunc_mod integer_zerop@0 !integer_zerop)
>>>   @0)
>>
>> well, there could simply be a integer_not_zerop predicate.
>>
>>> * Testing
>>> Sorry to bring this up again, but I am still not clear what regex to
>>> write in scan-tree-dump.
>>>
>>> Suppose we have these two patterns in match.pd:
>>> /* (x + y) - y -> x */
>>> (match_and_simplify
>>>   (minus (plus @0 @1) @1)
>>>   @0)
>>>
>>> /* (x - y) + y -> x */
>>> (match_and_simplify
>>>   (plus (minus @0 @1) @1)
>>>   @0)
>>> scan-tree-dump "gimple_match_and_simplified to \[^\n\r\]*= x_\\d\+\\(D\\)"
>>>
>>> I have following test-cases:
>>> int f1(int x, int y)
>>> {
>>>   int t1 = x + y;
>>>   return t1 - y;
>>> }
>>> scan-tree-dump "gimple_match_and_simplified to \[^\n\r\]*= x_\\d\+\\(D\\)"
>>>
>>> int f2(int x, int y)
>>> {
>>>   int t1 = x - y;
>>>   return t1 + y;
>>> }
>>> scan-tree-dump "gimple_match_and_simplified to \[^\n\r\]*= x_\\d\+\\(D\\)"
>>>
>>> both the test-cases have same regex.
>>> Tested in isolation f1 passes (first pattern if fired) and f2 fails
>>> (second pattern doesn't fire, it does after
>>> adding it's commutative variant, but that's irrelevant for this case).
>>>
>>> However when both test-cases are put in one file both the test cases PASS.
>>> I think that's because both of them have same regex: \[^\n\r\]*= 
>>> x_\\d\+\\(D\\)
>>> so in f1 and f2's regex both match the dump for f1 function in
>>> forwprop dump file:
>>> "gimple_match_and_simplified to \[^\n\r\]*= x_\\d\+\\(D\\)
>>>
>>> As a quick hack i rewrote f1 and f2 as:
>>> int f1(int x, int y)
>>> {
>>>   int t1 = x + y;
>>>   int f1_val = t1 - y;
>>>   return f1_val;
>>> }
>>> scan-tree-dump "gimple_match_and_simplified to f1_val_\\d\+ = 
>>> x_\\d\+\\(D\\)"
>>>
>>> int f2(int x, int y)
>>> {
>>>   int t1 = x - y;
>>>   int f2_val = t1 + y;
>>>   return f2_val;
>>> }
>>> scan-tree-dump "gimple_match_and_simplified to f2_val_\\d\+ = 
>>> x_\\d\+\\(D\\)"
>>> so both f1 and f2's scan-tree-dump have different regexes.
>>> and f2's regex does not match dump of f1's function.
>>> This matches all patterns in match-decision-tree.c however this is not 
>>> ideal,
>>> since it does not check for matching dump across newlines.
>>> Could you suggest a better way ?
>>
>> There isn't a good better way (the others explicitely do _not_ match against
>> a newline - see the ^ in the \[\] group).  Well, apart from splitting
>> the testcase
>> into multiple files of course.
>>
>> Richard.
>>
>>> Thanks and Regards,
>>> Prathamesh
>>>>
>>>> Thanks,
>>>> Richard.
>>>>
>>>>>> Thanks and Regards,
>>>>>> Prathamesh
>>>>>>>
>>>>>>> Richard.
>>>>>>>
>>>>>>>> * Code generation.
>>>>>>>> Code shall be generated by walking the decision tree.
>>>>>>>> The way it's constructed, there's no difference between code generation
>>>>>>>> for "matching" and code generation for "transform". For 
>>>>>>>> non-simplificaton
>>>>>>>> operands, "matching" code is generated, and for "simplification" 
>>>>>>>> operands,
>>>>>>>> "transform" code is generated. The tree shall be walked twice,
>>>>>>>> once to generate GIMPLE code and second time for GENERIC.
>>>>>>>> For simplicity, I currently return false whenever there's a fail in 
>>>>>>>> match,
>>>>>>>> instead of trying to match the next pattern.
>>>>>>>>
>>>>>>>> Code-gen for capture - same as capture::gen_gimple_match.
>>>>>>>>
>>>>>>>> Code-gen for predicate -  I haven't added support for predicate in
>>>>>>>> decision tree yet, but I guess that would be the same as
>>>>>>>> predicate::gen_gimple_match
>>>>>>>>
>>>>>>>> Code-gen for expr.
>>>>>>>> There are two types of code-gen for expr.
>>>>>>>> The patch generates following code:
>>>>>>>> Type 1 - expr is child of root node.
>>>>>>>> the only code that gets generated is (in decision_tree::gen_gimple):
>>>>>>>> if (code == <expr code>)
>>>>>>>> {
>>>>>>>> tree captures[4] = {}
>>>>>>>> <generated code for children>
>>>>>>>> }
>>>>>>>> This is similar to generating matching code in write_nary_simplifiers.
>>>>>>>>
>>>>>>>> Type 2 - expr_1 is a child of another expr_0 node.
>>>>>>>> The code gets generated as follows (dt_expr::gen_gimple):
>>>>>>>> {
>>>>>>>> gimple def_stmt = SSA_NAME_DEF_STMT (op);
>>>>>>>> if (is_gimple_assign (def_stmt)
>>>>>>>>     && gimple_assign_rhs_code (def_stmt) == <expr_1-code>)
>>>>>>>> {
>>>>>>>> tree op = gimple_assign_rhs1 (def_stmt);
>>>>>>>> if (valueize && TREE_CODE (op) == SSA_NAME)
>>>>>>>> {
>>>>>>>>   op = valueize (op);
>>>>>>>>   if (!op) return false;
>>>>>>>> }
>>>>>>>> <code-gen for children of expr_1 node>
>>>>>>>> }
>>>>>>>>
>>>>>>>> Example:
>>>>>>>> (negate (negate @0))
>>>>>>>> S1
>>>>>>>>
>>>>>>>> (negate (bit_not @0))
>>>>>>>> S2
>>>>>>>>
>>>>>>>> decision tree:
>>>>>>>>
>>>>>>>>                 dummy/root
>>>>>>>>                         |
>>>>>>>>            NEGATE_EXPR
>>>>>>>>              /                  \
>>>>>>>>      BIT_NOT           NEGATE_EXPR
>>>>>>>>            |                         |
>>>>>>>>          @0                     @0
>>>>>>>>            |                         |
>>>>>>>>          S1                      S2
>>>>>>>>
>>>>>>>> // code-gen for NEGATE_EXPR (child of root):
>>>>>>>> if (code == NEGATE_EXPR)
>>>>>>>> {
>>>>>>>> tree captures[4] = {};
>>>>>>>> // code gen for BIT_NOT_EXPR
>>>>>>>> {
>>>>>>>> gimple def_stmt = SSA_NAME_DEF_STMT (op0);
>>>>>>>> if (is_gimple_assign (def_stmt)
>>>>>>>>     && gimple_assign_rhs_code (def_stmt) == BIT_NOT_EXPR)
>>>>>>>> {
>>>>>>>> tree op = gimple_assign_rhs1 (def_stmt);
>>>>>>>> if (valueize && TREE_CODE (op) == SSA_NAME)
>>>>>>>> {
>>>>>>>>   op = valueize (op);
>>>>>>>>   if (!op) return false;
>>>>>>>> }
>>>>>>>>
>>>>>>>> // code-gen for @0, child of BIT_NOT_EXPR
>>>>>>>> if (!captures[0])
>>>>>>>>   captures[0] = op;
>>>>>>>> else if (captures[0] != op)
>>>>>>>>   return false;
>>>>>>>>
>>>>>>>> // code-gen for S1, child of @0
>>>>>>>> < same as code generated by .gen_gimple_transform >
>>>>>>>> return true;
>>>>>>>> }
>>>>>>>> // code gen for inner NEGATE_EXPR
>>>>>>>> {
>>>>>>>> gimple def_stmt = SSA_NAME_DEF_STMT (op0);
>>>>>>>> if (is_gimple_assign (def_stmt)
>>>>>>>>     && gimple_assign_rhs_code (def_stmt) == NEGATE_EXPR)
>>>>>>>> <rest similar to the BIT_NOT case>
>>>>>>>> }
>>>>>>>>
>>>>>>>> The following gets duplicated with the patch:
>>>>>>>> {
>>>>>>>> gimple_def_stmt = SSA_NAME_DEF_STMT (op0);
>>>>>>>> if (TREE_CODE (op0) != SSA_NAME)
>>>>>>>>   return false;
>>>>>>>> if (is_gimple_assign (def_stmt)
>>>>>>>>     && gimple_assign_rhs_code (def_stmt) == <expr-code>)
>>>>>>>> ...
>>>>>>>> }
>>>>>>>>
>>>>>>>> Improving code-gen for expr:
>>>>>>>> "gimple def_stmt = ..." and "if (TREE_CODE (op0)" get duplicated,
>>>>>>>> while they could be factored out, similar to this:
>>>>>>>>
>>>>>>>> {
>>>>>>>> gimple def_stmt = SSA_NAME_DEF_STMT (op0);
>>>>>>>> if (TREE_CODE (op0) != SSA_NAME)
>>>>>>>>   return false;
>>>>>>>> if (!is_gimple_assign (def_stmt))
>>>>>>>>   return false;
>>>>>>>> if (gimple_assign_rhs_code (def_stmt) == BIT_NOT_EXPR)
>>>>>>>> {
>>>>>>>>   // code-gen for BIT_NOT_EXPR subtree
>>>>>>>> }
>>>>>>>> else if (gimple_assign_rhs_code (def_stmt) == NEGATE_EXPR)
>>>>>>>> {
>>>>>>>>   // code-gen for NEGATE_EXPR subtree
>>>>>>>> }
>>>>>>>>
>>>>>>>> For factoring "gimple def_stmt ..." and "if (TREE_CODE (op0) != 
>>>>>>>> SSA_NAME"
>>>>>>>> we could have that generated at the parent of expr's node rather than
>>>>>>>> at expr. However that would be incorrect for cases where not all 
>>>>>>>> children
>>>>>>>> of a node are expressions:
>>>>>>>>
>>>>>>>> Example:
>>>>>>>> // patterns only for illustration
>>>>>>>> (negate (bit_not @0))
>>>>>>>> (negate @0)
>>>>>>>>
>>>>>>>>                    root
>>>>>>>>                      |
>>>>>>>>                   negate
>>>>>>>>                     /       \
>>>>>>>>                 bit_not   @0
>>>>>>>>                     |
>>>>>>>>                   @0
>>>>>>>>
>>>>>>>> we cannot have the above code generated at negate,
>>>>>>>> since it's not applicable negate's 2nd child (@0).
>>>>>>>>
>>>>>>>> This can be done by grouping together children that are expressions.
>>>>>>>> However the patch does not do that.
>>>>>>>>
>>>>>>>> * Code-gen for simplification operand
>>>>>>>> This involves code-gen for ifexpr and result of pattern.
>>>>>>>> Calls gen_gimple_transform of ifexpr and result 
>>>>>>>> (dt_simplify::gen_gimple)
>>>>>>>> So this is really code-gen off AST
>>>>>>>
>>>>>>> Right (modulo replacing captures with their replacements).
>>>>>>>
>>>>>>>> * Matching multiple patterns
>>>>>>>> A pattern has following parts: match, ifexpr and result.
>>>>>>>> If pattern fails in match operand, I guess we can safely return false ?
>>>>>>>> We "club" together patterns that have same match operand,
>>>>>>>> and use goto, if one of them fails in their (ifexpr/result) and then 
>>>>>>>> goto the
>>>>>>>> (ifexpr/result) of the next operand.
>>>>>>>>
>>>>>>>> Example:
>>>>>>>> /* x & 0 -> 0 */
>>>>>>>> (match_and_simplify
>>>>>>>>   (bit_and @0 @1)
>>>>>>>>   if (INTEGRAL_TYPE_P (TREE_TYPE (@0)) && (@1 == integer_zero_node))
>>>>>>>>   { integer_zero_node; })
>>>>>>>>
>>>>>>>> /* x & -1 -> x */
>>>>>>>> (match_and_simplify
>>>>>>>>   (bit_and @0 @1)
>>>>>>>>   if (INTEGRAL_TYPE_P (TREE_TYPE (@0))
>>>>>>>>      && (@1 == integer_minus_one_node)
>>>>>>>>   @0)
>>>>>>>>
>>>>>>>> For both patterns match is same.
>>>>>>>>
>>>>>>>> Decision Tree:
>>>>>>>>                 bit_and
>>>>>>>>                 /        \
>>>>>>>>              @0      @1
>>>>>>>>                            |
>>>>>>>>                         S1,  S2
>>>>>>>
>>>>>>> I think it's worth adding a diagnostic to genmach whenever exactly
>>>>>>> same matches appear.  But I'd say generally we'd support this
>>>>>>> by testing the ifexpr of the next pattern.
>>>>>>>
>>>>>>>> S1 represents <ifexpr, result> of pattern-1, and S2 represents 
>>>>>>>> <ifexpr, result>
>>>>>>>> of pattern-2 respectively.
>>>>>>>> S1, S2 would be stored as children of @1 (the last operand of n-ary 
>>>>>>>> operator),
>>>>>>>> in dt_operand::kids vector.
>>>>>>>>
>>>>>>>> The code would be generated as:
>>>>>>>>
>>>>>>>> matching code.
>>>>>>>> if (! pattern-1 ifexpr condition)
>>>>>>>>   goto simplify2;  // next pattern with the same "match" operand.
>>>>>>>> transform code for pattern 1
>>>>>>>>
>>>>>>>> simplify2:
>>>>>>>> if (! pattern-2 ifexpr condition)
>>>>>>>>   return false;  // last pattern
>>>>>>>> transform code for pattern 2.
>>>>>>>>
>>>>>>>> If matching itself fails, that is neither of the decisions get matched,
>>>>>>>> I believe we can then return false as it cannot match any other 
>>>>>>>> pattern ?
>>>>>>>>
>>>>>>>> * patterns needing hacks like cond_expr or GENERIC support
>>>>>>>> I haven't given thought to this yet. I suppose we can look to handle
>>>>>>>> these after adding support for GENERIC. Instead of generating GENERIC
>>>>>>>> matching in
>>>>>>>> gimple_match_and_simplify, could we then call 
>>>>>>>> generic_match_and_simplify from
>>>>>>>> within gimple_match_and_simplify ?
>>>>>>>
>>>>>>> Yes (that's what's currently done btw).
>>>>>>>
>>>>>>>> * Tests
>>>>>>>> The patch transformed the following patterns:
>>>>>>>>
>>>>>>>> (match_and_simplify
>>>>>>>>   (negate (bit_not @0))
>>>>>>>>   if (INTEGRAL_TYPE_P (TREE_TYPE (@0)))
>>>>>>>>   (plus @0 { build_int_cst (TREE_TYPE (@0)), 1); }))
>>>>>>>>
>>>>>>>> (match_and_simplify
>>>>>>>>   (negate (negate @0))
>>>>>>>>   @0)
>>>>>>>>
>>>>>>>> I have attached test-case I tried it with (negate.c)
>>>>>>>>
>>>>>>>> * Conclusion
>>>>>>>> Does it sound reasonable ? I am going to be re-writing the
>>>>>>>> decision tree from scratch, but is the basic idea fine ? Or should we
>>>>>>>> take a different approach ?
>>>>>>>>
>>>>>>>> Thanks and Regards,
>>>>>>>> Prathamesh

Reply via email to