Fix up code-highlighting sections.
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18 changed files with 5611 additions and 6037 deletions
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@ -112,23 +112,36 @@ This gives the language a very nice and simple syntax. For example, the
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following simple example computes `Fibonacci
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numbers <http://en.wikipedia.org/wiki/Fibonacci_number>`_:
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{% highlight python %} # Compute the x'th fibonacci number. def fib(x)
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if x < 3 then 1 else fib(x-1)+fib(x-2)
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This expression will compute the 40th number.
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=============================================
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.. code-block::
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# Compute the x'th fibonacci number.
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def fib(x):
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if x < 3:
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return 1
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else:
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return fib(x-1)+fib(x-2)
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# This expression will compute the 40th number.
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fib(40)
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fib(40) {% endhighlight %}
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We also allow Kaleidoscope to call into standard library functions (the
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LLVM JIT makes this completely trivial). This means that you can use the
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'extern' keyword to define a function before you use it (this is also
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useful for mutually recursive functions). For example:
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{% highlight python %} extern sin(arg); extern cos(arg); extern
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atan2(arg1 arg2);
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atan2(sin(0.4), cos(42)) {% endhighlight %}
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.. code-block::
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extern sin(arg);
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extern cos(arg);
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extern atan2(arg1 arg2);
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atan2(sin(0.4), cos(42))
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A more interesting example is included in Chapter 6 where we write a
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little Kaleidoscope application that
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@ -150,23 +163,32 @@ traditional way to do this is to use a
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the lexer includes a token type and potentially some metadata (e.g. the
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numeric value of a number). First, we define the possibilities:
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{% highlight python %} # The lexer yields one of these types for each
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token. class EOFToken(object): pass
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class DefToken(object): pass
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.. code-block:: python
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class ExternToken(object): pass
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# The lexer yields one of these types for each token.
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class EOFToken(object): pass
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class DefToken(object): pass
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class ExternToken(object): pass
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class IdentifierToken(object):
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def __init__(self, name):
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self.name = name
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class NumberToken(object):
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def __init__(self, value):
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self.value = value
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class CharacterToken(object):
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def __init__(self, char):
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self.char = char
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def __eq__(self, other):
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return isinstance(other, CharacterToken) and self.char == other.char
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def __ne__(self, other):
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return not self == other
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class IdentifierToken(object): def **init**\ (self, name): self.name =
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name
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class NumberToken(object): def **init**\ (self, value): self.value =
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value
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class CharacterToken(object): def **init**\ (self, char): self.char =
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char def **eq**\ (self, other): return isinstance(other, CharacterToken)
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and self.char == other.char def **ne**\ (self, other): return not self
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== other {% endhighlight %}
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Each token yielded by our lexer will be of one of the above types. For
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simple tokens that are always the same, like the "def" keyword, the
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@ -193,82 +215,109 @@ digits. Identifiers (and keywords) are alphanumeric string starting with
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a letter and comments are anything between a hash (``#``) and the end of
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the line.
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{% highlight python %} import re
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...
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.. code-block:: python
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Regular expressions that tokens and comments of our language.
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=============================================================
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REGEX\_NUMBER = re.compile('[0-9]+(?:.[0-9]+)?') REGEX\_IDENTIFIER =
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re.compile('[a-zA-Z][a-zA-Z0-9]\ *') REGEX\_COMMENT = re.compile('#.*')
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{% endhighlight %}
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import re
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...
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# Regular expressions that tokens and comments of our language.
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REGEX_NUMBER = re.compile('[0-9]+(?:.[0-9]+)?')
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REGEX_IDENTIFIER = re.compile('[a-zA-Z][a-zA-Z0-9]\ *')
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REGEX_COMMENT = re.compile('#.*')
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Next, let's start defining the ``Tokenize`` function itself. The first
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thing we need to do is set up a loop that scans the string, while
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ignoring whitespace between tokens:
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{% highlight python %} def Tokenize(string): while string: # Skip
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whitespace. if string[0].isspace(): string = string[1:] continue
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::
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.. code-block:: python
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def Tokenize(string):
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while string: # Skip whitespace.
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if string[0].isspace():
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string = string[1:]
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continue
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::
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...
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...
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{% endhighlight %}
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Next we want to find out what the next token is. For this we run the
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regexes we defined above on the remainder of the string. To simplify the
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rest of the code, we run all three regexes each time. As mentioned
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above, inefficiencies are ignored for the purpose of this tutorial:
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{% highlight python %} # Run regexes. comment\_match =
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REGEX\_COMMENT.match(string) number\_match = REGEX\_NUMBER.match(string)
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identifier\_match = REGEX\_IDENTIFIER.match(string) {% endhighlight %}
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Now se check if any of the regexes matched. For comments, we simply
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.. code-block:: python
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# Run regexes.
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comment_match = REGEX_COMMENT.match(string)
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number_match = REGEX_NUMBER.match(string)
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identifier_match = REGEX_IDENTIFIER.match(string)
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Now we check if any of the regexes matched. For comments, we simply
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ignore the captured match:
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{% highlight python %} # Check if any of the regexes matched and yield
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the appropriate result. if comment\_match: comment =
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comment\_match.group(0) string = string[len(comment):] {% endhighlight
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python %}
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.. code-block:: python
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# Check if any of the regexes matched and yield
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# the appropriate result.
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if comment_match:
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comment = comment_match.group(0)
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string = string[len(comment):]
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For numbers, we yield the captured match, converted to a float and
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tagged with the appropriate token type:
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{% highlight python %} elif number\_match: number =
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number\_match.group(0) yield NumberToken(float(number)) string =
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string[len(number):] {% endhighlight %}
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.. code-block:: python
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elif number_match:
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number = number_match.group(0)
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yield NumberToken(float(number))
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string = string[len(number):]
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The identifier case is a little more complex. We have to check for
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keywords to decide whether we have captured an identifier or a keyword:
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{% highlight python %} elif identifier\_match: identifier =
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identifier\_match.group(0) # Check if we matched a keyword. if
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identifier == 'def': yield DefToken() elif identifier == 'extern': yield
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ExternToken() else: yield IdentifierToken(identifier) string =
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string[len(identifier):] {% endhighlight %}
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.. code-block:: python
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elif identifier_match:
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identifier = identifier_match.group(0)
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# Check if we matched a keyword.
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if identifier == 'def':
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yield DefToken()
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elif identifier == 'extern':
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yield ExternToken()
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else:
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yield IdentifierToken(identifier)
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string = string[len(identifier):]
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Finally, if we haven't recognized a comment, a number of an identifier,
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we yield the current character as an "unknown character" token. This is
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used, for example, for operators like ``+`` or ``*``:
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{% highlight python %} else: # Yield the unknown character. yield
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CharacterToken(string[0]) string = string[1:] {% endhighlight %}
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.. code-block:: python
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else: # Yield the unknown character.
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yield CharacterToken(string[0])
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string = string[1:]
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Once we're done with the loop, we return a final end-of-file token:
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{% highlight python %} yield EOFToken() {% endhighlight %}
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With this, we have the complete lexer for the basic Kaleidoscope
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language (the `full code listing <PythonLangImpl2.html#code>`_ for the
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Lexer is available in the `next chapter <PythonLangImpl2.html>`_ of the
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tutorial). Next we'll `build a simple parser that uses this to build an
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Abstract Syntax Tree <PythonLangImpl2.html>`_. When we have that, we'll
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include a driver so that you can use the lexer and parser together.
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.. code-block:: python
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--------------
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yield EOFToken()
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**`Next: Implementing a Parser and AST <PythonLangImpl2.html>`_**
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@ -1,277 +0,0 @@
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*****************************************************************
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Chapter 8: Conclusion and other useful LLVM tidbits
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*****************************************************************
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Written by `Chris Lattner <mailto:sabre@nondot.org>`_
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Tutorial Conclusion # {#conclusion}
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===================================
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Welcome to the the final chapter of the `Implementing a language with
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LLVM <http://www.llvm.org/docs/tutorial/index.html>`_ tutorial. In the
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course of this tutorial, we have grown our little Kaleidoscope language
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from being a useless toy, to being a semi-interesting (but probably
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still useless) toy. :)
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It is interesting to see how far we've come, and how little code it has
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taken. We built the entire lexer, parser, AST, code generator, and an
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interactive run-loop (with a JIT!) by-hand in under 540 lines of
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(non-comment/non-blank) code.
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Our little language supports a couple of interesting features: it
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supports user defined binary and unary operators, it uses JIT
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compilation for immediate evaluation, and it supports a few control flow
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constructs with SSA construction.
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Part of the idea of this tutorial was to show you how easy and fun it
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can be to define, build, and play with languages. Building a compiler
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need not be a scary or mystical process! Now that you've seen some of
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the basics, I strongly encourage you to take the code and hack on it.
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For example, try adding:
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- **global variables** -- While global variables have questional value
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in modern software engineering, they are often useful when putting
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together quick little hacks like the Kaleidoscope compiler itself.
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Fortunately, our current setup makes it very easy to add global
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variables: just have value lookup check to see if an unresolved
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variable is in the global variable symbol table before rejecting it.
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To create a new global variable, make an instance of the LLVM
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``GlobalVariable`` class.
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- **typed variables** -- Kaleidoscope currently only supports variables
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of type double. This gives the language a very nice elegance, because
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only supporting one type means that you never have to specify types.
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Different languages have different ways of handling this. The easiest
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way is to require the user to specify types for every variable
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definition, and record the type of the variable in the symbol table
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along with its Value\*.
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- **arrays, structs, vectors, etc** -- Once you add types, you can
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start extending the type system in all sorts of interesting ways.
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Simple arrays are very easy and are quite useful for many different
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applications. Adding them is mostly an exercise in learning how the
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LLVM
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`getelementptr <http://www.llvm.org/docs/LangRef.html#i_getelementptr>`_
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instruction works: it is so nifty/unconventional, it `has its own
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FAQ <http://www.llvm.org/docs/GetElementPtr.html>`_! If you add
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support for recursive types (e.g. linked lists), make sure to read
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the `section in the LLVM Programmer's
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Manual <http://www.llvm.org/docs/ProgrammersManual.html#TypeResolve>`_
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that describes how to construct them.
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- **standard runtime** -- Our current language allows the user to
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access arbitrary external functions, and we use it for things like
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"putchard". As you extend the language to add higher-level
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constructs, often these constructs make the most sense if they are
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lowered to calls into a language-supplied runtime. For example, if
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you add hash tables to the language, it would probably make sense to
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add the routines to a runtime, instead of inlining them all the way.
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- **memory management** -- Currently we can only access the stack in
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Kaleidoscope. It would also be useful to be able to allocate heap
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memory, either with calls to the standard libc malloc/free interface
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or with a garbage collector. If you would like to use garbage
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collection, note that LLVM fully supports `Accurate Garbage
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Collection <http://www.llvm.org/docs/GarbageCollection.html>`_
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including algorithms that move objects and need to scan/update the
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stack.
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- **debugger support** -- LLVM supports generation of `DWARF Debug
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info <http://www.llvm.org/docs/SourceLevelDebugging.html>`_ which is
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understood by common debuggers like GDB. Adding support for debug
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info is fairly straightforward. The best way to understand it is to
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compile some C/C++ code with "``llvm-gcc -g -O0``\ " and taking a
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look at what it produces.
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- **exception handling support** - LLVM supports generation of `zero
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cost exceptions <http://www.llvm.org/docs/ExceptionHandling.html>`_
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which interoperate with code compiled in other languages. You could
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also generate code by implicitly making every function return an
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error value and checking it. You could also make explicit use of
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setjmp/longjmp. There are many different ways to go here.
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- **object orientation, generics, database access, complex numbers,
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geometric programming, ...** -- Really, there is no end of crazy
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features that you can add to the language.
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- **unusual domains** -- We've been talking about applying LLVM to a
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domain that many people are interested in: building a compiler for a
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specific language. However, there are many other domains that can use
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compiler technology that are not typically considered. For example,
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LLVM has been used to implement OpenGL graphics acceleration,
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translate C++ code to ActionScript, and many other cute and clever
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things. Maybe you will be the first to JIT compile a regular
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expression interpreter into native code with LLVM?
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Have fun - try doing something crazy and unusual. Building a language
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like everyone else always has, is much less fun than trying something a
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little crazy or off the wall and seeing how it turns out. If you get
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stuck or want to talk about it, feel free to email the `llvmdev mailing
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list <http://lists.cs.uiuc.edu/mailman/listinfo/llvmdev>`_: it has lots
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of people who are interested in languages and are often willing to help
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out.
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Before we end this tutorial, I want to talk about some "tips and tricks"
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for generating LLVM IR. These are some of the more subtle things that
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may not be obvious, but are very useful if you want to take advantage of
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LLVM's capabilities.
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--------------
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Properties of the LLVM IR # {#llvmirproperties}
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===============================================
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We have a couple common questions about code in the LLVM IR form - let's
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just get these out of the way right now, shall we?
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Target Independence ## {#targetindep}
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-------------------------------------
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Kaleidoscope is an example of a "portable language": any program written
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in Kaleidoscope will work the same way on any target that it runs on.
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Many other languages have this property, e.g. LISP, Java, Haskell,
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Javascript, Python, etc. (note that while these languages are portable,
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not all their libraries are).
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One nice aspect of LLVM is that it is often capable of preserving target
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independence in the IR: you can take the LLVM IR for a
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Kaleidoscope-compiled program and run it on any target that LLVM
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supports, even emitting C code and compiling that on targets that LLVM
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doesn't support natively. You can trivially tell that the Kaleidoscope
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compiler generates target-independent code because it never queries for
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any target-specific information when generating code.
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The fact that LLVM provides a compact, target-independent,
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representation for code gets a lot of people excited. Unfortunately,
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these people are usually thinking about C or a language from the C
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family when they are asking questions about language portability. I say
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"unfortunately", because there is really no way to make (fully general)
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C code portable, other than shipping the source code around (and of
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course, C source code is not actually portable in general either - ever
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port a really old application from 32- to 64-bits?).
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The problem with C (again, in its full generality) is that it is heavily
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laden with target specific assumptions. As one simple example, the
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preprocessor often destructively removes target-independence from the
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code when it processes the input text:
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{% highlight c %} #ifdef **i386** int X = 1; #else int X = 42; #endif {%
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endhighlight %}
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While it is possible to engineer more and more complex solutions to
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problems like this, it cannot be solved in full generality in a way that
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is better than shipping the actual source code.
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That said, there are interesting subsets of C that can be made portable.
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If you are willing to fix primitive types to a fixed size (say int =
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32-bits, and long = 64-bits), don't care about ABI compatibility with
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existing binaries, and are willing to give up some other minor features,
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you can have portable code. This can make sense for specialized domains
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such as an in-kernel language.
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Safety Guarantees ## {#safety}
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------------------------------
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Many of the languages above are also "safe" languages: it is impossible
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for a program written in Java to corrupt its address space and crash the
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process (assuming the JVM has no bugs). Safety is an interesting
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property that requires a combination of language design, runtime
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support, and often operating system support.
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It is certainly possible to implement a safe language in LLVM, but LLVM
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IR does not itself guarantee safety. The LLVM IR allows unsafe pointer
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casts, use after free bugs, buffer over-runs, and a variety of other
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problems. Safety needs to be implemented as a layer on top of LLVM and,
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conveniently, several groups have investigated this. Ask on the `llvmdev
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mailing list <http://lists.cs.uiuc.edu/mailman/listinfo/llvmdev>`_ if
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you are interested in more details.
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Language-Specific Optimizations ## {#langspecific}
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--------------------------------------------------
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One thing about LLVM that turns off many people is that it does not
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solve all the world's problems in one system (sorry 'world hunger',
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someone else will have to solve you some other day). One specific
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complaint is that people perceive LLVM as being incapable of performing
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high-level language-specific optimization: LLVM "loses too much
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information".
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Unfortunately, this is really not the place to give you a full and
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unified version of "Chris Lattner's theory of compiler design". Instead,
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I'll make a few observations:
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First, you're right that LLVM does lose information. For example, as of
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this writing, there is no way to distinguish in the LLVM IR whether an
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SSA-value came from a C "int" or a C "long" on an ILP32 machine (other
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than debug info). Both get compiled down to an 'i32' value and the
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information about what it came from is lost. The more general issue
|
||||
here, is that the LLVM type system uses "structural equivalence" instead
|
||||
of "name equivalence". Another place this surprises people is if you
|
||||
have two types in a high-level language that have the same structure
|
||||
(e.g. two different structs that have a single int field): these types
|
||||
will compile down into a single LLVM type and it will be impossible to
|
||||
tell what it came from.
|
||||
|
||||
Second, while LLVM does lose information, LLVM is not a fixed target: we
|
||||
continue to enhance and improve it in many different ways. In addition
|
||||
to adding new features (LLVM did not always support exceptions or debug
|
||||
info), we also extend the IR to capture important information for
|
||||
optimization (e.g. whether an argument is sign or zero extended,
|
||||
information about pointers aliasing, etc). Many of the enhancements are
|
||||
user-driven: people want LLVM to include some specific feature, so they
|
||||
go ahead and extend it.
|
||||
|
||||
Third, it is *possible and easy* to add language-specific optimizations,
|
||||
and you have a number of choices in how to do it. As one trivial
|
||||
example, it is easy to add language-specific optimization passes that
|
||||
"know" things about code compiled for a language. In the case of the C
|
||||
family, there is an optimization pass that "knows" about the standard C
|
||||
library functions. If you call "exit(0)" in main(), it knows that it is
|
||||
safe to optimize that into "return 0;" because C specifies what the
|
||||
'exit' function does.
|
||||
|
||||
In addition to simple library knowledge, it is possible to embed a
|
||||
variety of other language-specific information into the LLVM IR. If you
|
||||
have a specific need and run into a wall, please bring the topic up on
|
||||
the llvmdev list. At the very worst, you can always treat LLVM as if it
|
||||
were a "dumb code generator" and implement the high-level optimizations
|
||||
you desire in your front-end, on the language-specific AST.
|
||||
|
||||
--------------
|
||||
|
||||
Tips and Tricks # {#tipsandtricks}
|
||||
==================================
|
||||
|
||||
There is a variety of useful tips and tricks that you come to know after
|
||||
working on/with LLVM that aren't obvious at first glance. Instead of
|
||||
letting everyone rediscover them, this section talks about some of these
|
||||
issues.
|
||||
|
||||
Implementing portable offsetof/sizeof ## {#offsetofsizeof}
|
||||
----------------------------------------------------------
|
||||
|
||||
One interesting thing that comes up, if you are trying to keep the code
|
||||
generated by your compiler "target independent", is that you often need
|
||||
to know the size of some LLVM type or the offset of some field in an
|
||||
llvm structure. For example, you might need to pass the size of a type
|
||||
into a function that allocates memory.
|
||||
|
||||
Unfortunately, this can vary widely across targets: for example the
|
||||
width of a pointer is trivially target-specific. However, there is a
|
||||
`clever way to use the getelementptr
|
||||
instruction <http://nondot.org/sabre/LLVMNotes/SizeOf-OffsetOf-VariableSizedStructs.txt>`_
|
||||
that allows you to compute this in a portable way.
|
||||
|
||||
Garbage Collected Stack Frames ## {#gcstack}
|
||||
--------------------------------------------
|
||||
|
||||
Some languages want to explicitly manage their stack frames, often so
|
||||
that they are garbage collected or to allow easy implementation of
|
||||
closures. There are often better ways to implement these features than
|
||||
explicit stack frames, but `LLVM does support
|
||||
them <http://nondot.org/sabre/LLVMNotes/ExplicitlyManagedStackFrames.txt>`_,
|
||||
if you want. It requires your front-end to convert the code into
|
||||
`Continuation Passing
|
||||
Style <http://en.wikipedia.org/wiki/Continuation-passing_style>`_ and
|
||||
the use of tail calls (which LLVM also supports).
|
||||
Loading…
Add table
Add a link
Reference in a new issue