pystencils merge requestshttps://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests2019-10-01T15:12:29+02:00https://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/68Declare LoopCounterSymbols nonnegative2019-10-01T15:12:29+02:00Stephan SeitzDeclare LoopCounterSymbols nonnegativeThis removed some checks like `ctr1 <= 0` from my kernelsThis removed some checks like `ctr1 <= 0` from my kernelshttps://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/67Add ConditionalFieldAccess (Field.Access after out-of-bounds check)2019-10-01T15:36:36+02:00Stephan SeitzAdd ConditionalFieldAccess (Field.Access after out-of-bounds check)Adds a wrapper around a `Field.Access` that the access is only performed if a certain condition is met.
If I use this, I can safely perform calculations and adjoint calculations with `ghost_layers=0` and obtain the correct gradients w...Adds a wrapper around a `Field.Access` that the access is only performed if a certain condition is met.
If I use this, I can safely perform calculations and adjoint calculations with `ghost_layers=0` and obtain the correct gradients without separate boundary handling.https://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/66Set assumptions for TypedSymbol/cast_func/IntegerFunctionTwoArgsMixIn the SymPy way2019-09-30T14:11:05+02:00Stephan SeitzSet assumptions for TypedSymbol/cast_func/IntegerFunctionTwoArgsMixIn the SymPy wayAfter having a nearly week long discussion on assumptions in my SymPy PR, I got some idea of how the assumptions in SymPy are working.
It's interesting that you can use `Function.__new__(cls, integer=True)` for `UndefinedFunction`s li...After having a nearly week long discussion on assumptions in my SymPy PR, I got some idea of how the assumptions in SymPy are working.
It's interesting that you can use `Function.__new__(cls, integer=True)` for `UndefinedFunction`s like `Function('f', interger=True)` but not for subclassese of `Function`.
Now things like `(2*f.shape[0]).is_integer` are working.https://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/65Bugfix: Align calculation of number of ghost layers on GPU with CPU version2019-09-30T14:10:47+02:00Stephan SeitzBugfix: Align calculation of number of ghost layers on GPU with CPU versionFor the calculation of the number of ghostlayers only relative accesses
should be considered like on the CPU versionFor the calculation of the number of ghostlayers only relative accesses
should be considered like on the CPU versionhttps://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/64Bugfix avoid east and west const2019-09-30T14:10:05+02:00Stephan SeitzBugfix avoid east and west constHere's the printing logic for SympyAsssignment:
```python
if node.is_declaration:
if node.is_const # <<< and 'const' not in self._print(node.lhs.dtype):
prefix = 'const '
else:
...Here's the printing logic for SympyAsssignment:
```python
if node.is_declaration:
if node.is_const # <<< and 'const' not in self._print(node.lhs.dtype):
prefix = 'const '
else:
prefix = ''
data_type = prefix + self._print(node.lhs.dtype) + " "
return "%s%s = %s;" % (data_type, self.sympy_printer.doprint(node.lhs),
self.sympy_printer.doprint(node.rhs))
else:
lhs_type = get_type_of_expression(node.lhs)
if type(lhs_type) is VectorType and isinstance(node.lhs, cast_func):
```
It will always prefix const on a declaration. This will not work if dtype is also const since:
```python
def __str__(self):
result = BasicType.numpy_name_to_c(str(self._dtype))
if self.const:
result += " const"
return result
```
So we get something like `const int64_t const`.
I deleted the postfix const to have everything nicely aligned.https://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/63Bugfix: this bracket should not be here (collate_types returns single type)2019-09-30T14:10:58+02:00Stephan SeitzBugfix: this bracket should not be here (collate_types returns single type)https://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/62Bugfix fields accessed for interpolator access2019-09-30T14:10:31+02:00Stephan SeitzBugfix fields accessed for interpolator accesshttps://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/61Kernel wrapper2019-09-26T17:14:29+02:00Stephan SeitzKernel wrapper`KernelWrapper` is cool. Let's also use it for the `gpucuda` backend.
Also:
- make `show_code(kernel_wrapper)` possible
- fix `DeprecationWarning` for import of `Hashable``KernelWrapper` is cool. Let's also use it for the `gpucuda` backend.
Also:
- make `show_code(kernel_wrapper)` possible
- fix `DeprecationWarning` for import of `Hashable`https://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/60Eliminate usages of old name 'equation collection' for `AssignmentCollection`2019-09-26T17:12:44+02:00Stephan SeitzEliminate usages of old name 'equation collection' for `AssignmentCollection`We should avoid the old name equation collection.We should avoid the old name equation collection.https://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/59Document backends.json2019-09-26T12:49:19+02:00Stephan SeitzDocument backends.jsonhttps://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/58Extra asserts sympy issue2019-09-25T15:38:17+02:00Stephan SeitzExtra asserts sympy issueAdd extra assertions to be super sure.Add extra assertions to be super sure.https://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/57Add AssignmentCollection.{free_fields,bound_fields}2019-09-25T15:41:44+02:00Stephan SeitzAdd AssignmentCollection.{free_fields,bound_fields}Wasn't this merged already?Wasn't this merged already?https://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/56Interpolation 24.0.92019-09-25T15:41:24+02:00Stephan SeitzInterpolation 24.0.9This is another rebased PR for integrating interpolated accesses.
Iterpolation accesses work like `absolute_access` except they can be savely applied on all fields (i.e. with boundary checks).
More info here: !20
This PR contains som...This is another rebased PR for integrating interpolated accesses.
Iterpolation accesses work like `absolute_access` except they can be savely applied on all fields (i.e. with boundary checks).
More info here: !20
This PR contains some dead code that uses https://github.com/theHamsta/CubicInterpolationCUDA . I have not included it as a submodule in pystencils in this PR.
This PR break the hash of those two test:
```
[gw11] [ 14%] FAILED lbmpy_tests/test_code_hashequivalence.py::test_hash_equivalence_llvm
lbmpy_tests/test_conserved_quantity_relaxation_invariance.py::test_srt
[gw8] [ 15%] FAILED lbmpy_tests/test_code_hashequivalence.py::test_hash_equivalence
```https://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/55Remove DestructuringBindingsForFieldClass2021-08-19T20:23:23+02:00Stephan SeitzRemove DestructuringBindingsForFieldClassThere is now a superior implementation in pystencils_autodiff.
This is actually a AST Node for wrapper code. pystencils_autodiff has
now a AST printer for framework integration code. So framework AST nodes
are now there and kernel AST n...There is now a superior implementation in pystencils_autodiff.
This is actually a AST Node for wrapper code. pystencils_autodiff has
now a AST printer for framework integration code. So framework AST nodes
are now there and kernel AST nodes remain here.https://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/54Always use codegen.rewriting.optimize2019-09-23T13:38:39+02:00Stephan SeitzAlways use codegen.rewriting.optimizePretty much !34 but with the changes to `create_kernel`. Can be closed if not wanted. Leaving it here for archiving purposes.
!34 has the workflow:
```python
assignments = optimize(assignments, optimizations)
ast = create_kernel(...Pretty much !34 but with the changes to `create_kernel`. Can be closed if not wanted. Leaving it here for archiving purposes.
!34 has the workflow:
```python
assignments = optimize(assignments, optimizations)
ast = create_kernel(assignments)
```https://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/53Compile CUDA using the LLVM backend2019-09-23T12:49:30+02:00Stephan SeitzCompile CUDA using the LLVM backendWe can compile CUDA to PTX using the LLVM backend :wink:
`llc` produces PTX files without complaining.We can compile CUDA to PTX using the LLVM backend :wink:
`llc` produces PTX files without complaining.https://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/52Sort headers/global definitions to enable reproducible code generation2019-09-23T11:03:53+02:00Stephan SeitzSort headers/global definitions to enable reproducible code generationheaders and global_declarations are generated by methods that return
sets. So even with the same inputs it is not guaranteed that the same
source code is generated since sets do not guarantee a specific order
when iterating over them.
I...headers and global_declarations are generated by methods that return
sets. So even with the same inputs it is not guaranteed that the same
source code is generated since sets do not guarantee a specific order
when iterating over them.
I was supprised that my generated code could often not be reused from the cache. The problem was that the included headers appeared in random order.https://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/51Close pystencils' config file after writing2019-09-17T09:06:15+02:00Stephan SeitzClose pystencils' config file after writingI got a warning that this file remains unclosed.I got a warning that this file remains unclosed.https://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/50CI: Add minimal-sympy-master2019-09-17T09:06:54+02:00Stephan SeitzCI: Add minimal-sympy-masterTest for #11
This could warn us when SymPy introduces breaking changes.
The test with SymPy master is allowed to fail.Test for #11
This could warn us when SymPy introduces breaking changes.
The test with SymPy master is allowed to fail.https://i10git.cs.fau.de/pycodegen/pystencils/-/merge_requests/49Actually increment counter inside random_symbol2019-09-04T15:06:57+02:00Michael Kuronmkuron@icp.uni-stuttgart.deActually increment counter inside random_symbol@rudolfweeber is currently looking at the statistical mechanics of the fluctuating LB and found a velocity bias. It turned out that this is due to all generated random numbers using the same key. Instead it should be incremented when gen...@rudolfweeber is currently looking at the statistical mechanics of the fluctuating LB and found a velocity bias. It turned out that this is due to all generated random numbers using the same key. Instead it should be incremented when generating multiple random numbers in the same kernel.
So in the generated code,
```c++
philox_float4(time_step, ctr_0, ctr_1, ctr_2, 0, 2, Dummy_38, Dummy_39, Dummy_40, Dummy_41);
philox_float4(time_step, ctr_0, ctr_1, ctr_2, 0, 2, Dummy_34, Dummy_35, Dummy_36, Dummy_37);
philox_float4(time_step, ctr_0, ctr_1, ctr_2, 0, 2, Dummy_30, Dummy_31, Dummy_32, Dummy_33);
philox_float4(time_step, ctr_0, ctr_1, ctr_2, 0, 2, Dummy_26, Dummy_27, Dummy_28, Dummy_29);
```
becomes
```c++
philox_float4(time_step, ctr_0, ctr_1, ctr_2, 3, 2, Dummy_38, Dummy_39, Dummy_40, Dummy_41);
philox_float4(time_step, ctr_0, ctr_1, ctr_2, 2, 2, Dummy_34, Dummy_35, Dummy_36, Dummy_37);
philox_float4(time_step, ctr_0, ctr_1, ctr_2, 1, 2, Dummy_30, Dummy_31, Dummy_32, Dummy_33);
philox_float4(time_step, ctr_0, ctr_1, ctr_2, 0, 2, Dummy_26, Dummy_27, Dummy_28, Dummy_29);
```Martin BauerMartin Bauer