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This pull request fixes #48, by implementing a tiny wrapper for CUDA and a wrapper for non-CUDA functionalities only with external 'C'. **Commit Summary** - Implemented new header printer for CUDA. - Added CUDA wrapper assignment - Instead of wrapping all local headers, wrap only C functions with extern 'C' --------- Co-authored-by: EmilyBourne <louise.bourne@gmail.com> Co-authored-by: bauom <40796259+bauom@users.noreply.github.com>
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@@ -31,3 +31,4 @@ Contributors | |
* Farouk Ech-Charef | ||
* Mustapha Belbiad | ||
* Varadarajan Rengaraj | ||
* Said Mazouz |
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# coding: utf-8 | ||
#------------------------------------------------------------------------------------------# | ||
# This file is part of Pyccel which is released under MIT License. See the LICENSE file or # | ||
# go to https://github.com/pyccel/pyccel/blob/master/LICENSE for full license details. # | ||
#------------------------------------------------------------------------------------------# | ||
""" | ||
Module describing the code-wrapping class : CudaToPythonWrapper | ||
which creates an interface exposing Cuda code to C. | ||
""" | ||
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from pyccel.ast.bind_c import BindCModule | ||
from pyccel.errors.errors import Errors | ||
from pyccel.ast.bind_c import BindCVariable | ||
from .wrapper import Wrapper | ||
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errors = Errors() | ||
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class CudaToCWrapper(Wrapper): | ||
""" | ||
Class for creating a wrapper exposing Cuda code to C. | ||
While CUDA is typically compatible with C by default. | ||
this wrapper becomes necessary in scenarios where specific adaptations | ||
or modifications are required to ensure seamless integration with C. | ||
""" | ||
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def _wrap_Module(self, expr): | ||
""" | ||
Create a Module which is compatible with C. | ||
Create a Module which provides an interface between C and the | ||
Module described by expr. | ||
Parameters | ||
---------- | ||
expr : pyccel.ast.core.Module | ||
The module to be wrapped. | ||
Returns | ||
------- | ||
pyccel.ast.core.BindCModule | ||
The C-compatible module. | ||
""" | ||
init_func = expr.init_func | ||
if expr.interfaces: | ||
errors.report("Interface wrapping is not yet supported for Cuda", | ||
severity='warning', symbol=expr) | ||
if expr.classes: | ||
errors.report("Class wrapping is not yet supported for Cuda", | ||
severity='warning', symbol=expr) | ||
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variables = [self._wrap(v) for v in expr.variables] | ||
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return BindCModule(expr.name, variables, expr.funcs, | ||
init_func=init_func, | ||
scope = expr.scope, | ||
original_module=expr) | ||
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def _wrap_Variable(self, expr): | ||
""" | ||
Create all objects necessary to expose a module variable to C. | ||
Create and return the objects which must be printed in the wrapping | ||
module in order to expose the variable to C | ||
Parameters | ||
---------- | ||
expr : pyccel.ast.variables.Variable | ||
The module variable. | ||
Returns | ||
------- | ||
pyccel.ast.core.BindCVariable | ||
The C-compatible variable. which must be printed in | ||
the wrapping module to expose the variable. | ||
""" | ||
return expr.clone(expr.name, new_class = BindCVariable) | ||
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# pylint: disable=missing-function-docstring, missing-module-docstring | ||
import numpy as np | ||
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g = np.float64(9.81) | ||
r0 = np.float32(1.0) | ||
rmin = 0.01 | ||
rmax = 1.0 | ||
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skip_centre = True | ||
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method = 3 | ||
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tiny = np.int32(4) |
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