cuda.host_empty function #67

smazouz42 · 2024-07-22T15:31:11Z

This pull request addresses issue #56 by adding a new feature to 'cuda' host_empty that allows you to allocate memory on the CPU

This PR aims to make the C code compilable using nvcc. The cuda language was added as well as a CudaCodePrinter. Changes to stdlib: Wrapped expressions using complex types in an `ifndef __NVCC__` to avoid processing them with the nvcc compiler --------- Co-authored-by: Mouad Elalj, EmilyBourne

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 <[email protected]> Co-authored-by: bauom <[email protected]>

This pull request addresses issue #28 by implementing a new feature in Pyccel that allows users to define custom GPU kernels. The syntax for creating these kernels is inspired by Numba. and I also need to fix issue #45 for testing purposes **Commit Summary** - Introduced KernelCall class - Added cuda printer methods _print_KernelCall and _print_FunctionDef to generate the corresponding CUDA representation for both kernel calls and definitions - Added IndexedFunctionCall represents an indexed function call - Added CUDA module and cuda.synchronize() - Fixing a bug that I found in the header: it does not import the necessary header for the used function --------- Co-authored-by: EmilyBourne <[email protected]> Co-authored-by: bauom <[email protected]> Co-authored-by: Emily Bourne <[email protected]>

…nctions, and refining CUDA type handling

This PR aims to make the C code compilable using nvcc. The cuda language was added as well as a CudaCodePrinter. Changes to stdlib: Wrapped expressions using complex types in an `ifndef __NVCC__` to avoid processing them with the nvcc compiler --------- Co-authored-by: Mouad Elalj, EmilyBourne

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 <[email protected]> Co-authored-by: bauom <[email protected]>

This pull request addresses issue #28 by implementing a new feature in Pyccel that allows users to define custom GPU kernels. The syntax for creating these kernels is inspired by Numba. and I also need to fix issue #45 for testing purposes **Commit Summary** - Introduced KernelCall class - Added cuda printer methods _print_KernelCall and _print_FunctionDef to generate the corresponding CUDA representation for both kernel calls and definitions - Added IndexedFunctionCall represents an indexed function call - Added CUDA module and cuda.synchronize() - Fixing a bug that I found in the header: it does not import the necessary header for the used function --------- Co-authored-by: EmilyBourne <[email protected]> Co-authored-by: bauom <[email protected]> Co-authored-by: Emily Bourne <[email protected]>

This pull request addresses issue #59 by adding more CUDA-specific keywords to enhance the checking of variable/function names and prevent name clashes --------- Co-authored-by: EmilyBourne <[email protected]> Co-authored-by: bauom <[email protected]>

This pull request addresses issue #41 by implementing a new feature in Pyccel that allows users to define a custom device **Commit Summary** - Adding handler for custom device and its code generation. - Adding test --------- Co-authored-by: EmilyBourne <[email protected]>

pyccel-bot · 2024-07-24T21:15:01Z

Unfortunately your PR is not passing the tests so it is not quite ready for review yet. Let me know when it is fixed with /bot mark as ready.

pyccel-bot

There seems to be lines in this PR which aren't tested. Please take a look at my comments and add tests which cover the new code.

If this is modified code which cannot be easily tested in this PR please open an issue to request that this code be either removed or tested. Once you have done that please leave a message on the relevant conversation beginning with the line /bot accept and referencing the issue.

Similarly if the new code cannot be tested for some reason, please leave a comment beginning with the line /bot accept on the relevant conversation explaining why the code can't be tested.

pyccel-bot · 2024-07-24T21:32:24Z

pyccel/ast/cudatypes.py

+ return NotImplemented
+


This code isn't tested. Please can you take a look

/bot accept
The fallback return NotImplemented does not need testing

smazouz42 · 2024-07-25T09:56:36Z

/bot run docs

pyccel-bot

Good job ! Your PR is using all the code it added/changed.

pyccel-bot · 2024-07-25T10:20:56Z

@jalalium, @smazouz42 has been working hard and thinks that they have now replied to or fixed all your comments. Could you take another look at the PR and see if you can approve now?

This PR aims to make the C code compilable using nvcc. The cuda language was added as well as a CudaCodePrinter. Changes to stdlib: Wrapped expressions using complex types in an `ifndef __NVCC__` to avoid processing them with the nvcc compiler --------- Co-authored-by: Mouad Elalj, EmilyBourne

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 <[email protected]> Co-authored-by: bauom <[email protected]>

This pull request addresses issue #28 by implementing a new feature in Pyccel that allows users to define custom GPU kernels. The syntax for creating these kernels is inspired by Numba. and I also need to fix issue #45 for testing purposes **Commit Summary** - Introduced KernelCall class - Added cuda printer methods _print_KernelCall and _print_FunctionDef to generate the corresponding CUDA representation for both kernel calls and definitions - Added IndexedFunctionCall represents an indexed function call - Added CUDA module and cuda.synchronize() - Fixing a bug that I found in the header: it does not import the necessary header for the used function --------- Co-authored-by: EmilyBourne <[email protected]> Co-authored-by: bauom <[email protected]> Co-authored-by: Emily Bourne <[email protected]>

This pull request addresses issue #59 by adding more CUDA-specific keywords to enhance the checking of variable/function names and prevent name clashes --------- Co-authored-by: EmilyBourne <[email protected]> Co-authored-by: bauom <[email protected]>

This pull request addresses issue #41 by implementing a new feature in Pyccel that allows users to define a custom device **Commit Summary** - Adding handler for custom device and its code generation. - Adding test --------- Co-authored-by: EmilyBourne <[email protected]>

…sue_56

jalalium

Very good job!

pyccel-bot · 2024-07-26T15:51:08Z

Hey @yguclu, @EmilyBourne, this PR is looking pretty good. @smazouz42 and @jalalium think it is ready to merge. Could you add your expertise to confirm that this follows all the coding conventions and fits in Pyccel's future plans? Thanks 😄

EmilyBourne · 2024-07-29T16:07:42Z

docs/cuda.md

+
+### cuda+host_empty
+
+The cuda+host_empty function allocates an empty array on the host.


Is cuda+host_empty cuda.host_empty?

EmilyBourne · 2024-07-29T16:08:03Z

pyccel/ast/class_defs.py

+ 'IntegerClass',
+ 'FloatClass',


These classes now appear twice in this list

EmilyBourne · 2024-07-29T16:08:15Z

pyccel/ast/class_defs.py

 elif isinstance(class_type, (NumpyNumericType, NumpyNDArrayType)):
 return NumpyArrayClass
+ # elif isinstance(class_type, StackArrayType):


Suggested change

# elif isinstance(class_type, StackArrayType):

EmilyBourne · 2024-07-29T16:09:42Z

pyccel/ast/cudaext.py

+ def __init__(self, *args ,class_type, init_dtype, memory_location):
+ self._class_type = class_type
+ self._init_dtype = init_dtype
+ self._memory_location = memory_location


Is the memory location not inside the class type already?

Suggested change

def __init__(self, *args ,class_type, init_dtype, memory_location):

self._class_type = class_type

self._init_dtype = init_dtype

self._memory_location = memory_location

def __init__(self, *args, class_type, init_dtype, memory_location):

self._class_type = class_type

self._init_dtype = init_dtype

self._memory_location = memory_location

EmilyBourne · 2024-07-29T16:12:48Z

pyccel/ast/cudaext.py

+ 'full' : PyccelFunctionDef('full' , CudaFull),
+ 'host_empty' : PyccelFunctionDef('host_empty' , CudaHostEmpty),


Suggested change

'full' : PyccelFunctionDef('full' , CudaFull),

'host_empty' : PyccelFunctionDef('host_empty' , CudaHostEmpty),

'full' : PyccelFunctionDef('full' , CudaFull),

'host_empty' : PyccelFunctionDef('host_empty' , CudaHostEmpty),

EmilyBourne · 2024-07-29T16:23:03Z

pyccel/codegen/printing/cucode.py

+ if isinstance(rhs.class_type, CudaArrayType):
+ if(isinstance(rhs, (CudaFull))):
+ # TODO add support for CudaFull
+ return " \n"


Is it not safer to not include this code so that the neat error is raised instead of just printing nothing?

EmilyBourne · 2024-07-29T16:23:18Z

pyccel/codegen/utilities.py

+ accelerators=('python',))),
+ "numpy_f90" : ("numpy", CompileObj("numpy_f90.f90",folder="numpy")),
+ "numpy_c" : ("numpy", CompileObj("numpy_c.c",folder="numpy")),
+ "Set_extensions" : ("STC_Extensions", CompileObj("Set_Extensions.h",


Why this change? Bad merge?

EmilyBourne · 2024-07-29T16:24:23Z

pyccel/cuda/cuda_arrays.py

+ array
+ The empty array on the host.
+ """
+ import numpy as np


Usually in Python best practice is to place all imports at the top of the file. Is there a reason you don't do that here?

EmilyBourne · 2024-07-29T16:25:08Z

pyccel/stdlib/cuda_ndarrays/cuda_ndarrays.cu

+ return (1);
+}
+
+__host__ __device__
+int32_t cuda_free(t_ndarray arr)
+{
+ if (arr.shape == NULL)
+ return (0);
+ cudaFree(arr.raw_data);
+ arr.raw_data = NULL;
+ cudaFree(arr.shape);
+ arr.shape = NULL;
+ cudaFree(arr.strides);
+ arr.strides = NULL;
+ return (0);


What does the 1/0 returned for host/device freeing represent?

EmilyBourne · 2024-07-29T16:26:13Z

pyproject.toml

@@ -58,7 +58,8 @@ include = [
 "pyccel/stdlib/**/*.c",
 "pyccel/stdlib/**/*.f90",
 "pyccel/extensions/STC/include",
- "pyccel/extensions/gFTL/include/v2"
+ "pyccel/extensions/gFTL/include/v2",
+ "pyccel/stdlib/cuda_ndarrays/cuda_ndarrays.cu"


Please group this with the other stdlib files. I think we can safely include all cuda files found inside stdlib.

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github-actions bot marked this pull request as draft July 24, 2024 21:15

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fix doc string of host_empty

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cuda.host_empty function #67

cuda.host_empty function #67

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		### cuda+host_empty

		The cuda+host_empty function allocates an empty array on the host.

		'full' : PyccelFunctionDef('full' , CudaFull),
		'host_empty' : PyccelFunctionDef('host_empty' , CudaHostEmpty),

cuda.host_empty function #67

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cuda.host_empty function #67

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