BUG: Regression in C blas flags detection

[GaetanLepage]

Describe the issue:

The following tests fail with pytensor==2.18.0:

=========================== short test summary info ============================
FAILED tests/test_printing.py::test_debugprint - AssertionError: assert ['Composite{(...   └─ B', ...] == ['Composite{(...  ...
FAILED tests/link/c/test_op.py::test_ExternalCOp_c_code_cache_version - ValueError: too many values to unpack (expected 3)

Reproducable code example:

Not relevant

Error message:

>       assert [l.strip() for l in s.split("\n")] == [
            l.strip() for l in exp_res.split("\n")
        ]
E       AssertionError: assert ['Composite{(...   └─ B', ...] == ['Composite{(...   └─ B', ...]
E         At index 2 diff: '│  └─ Gemv{inplace} d={0: [0]} 2' != '│  └─ CGemv{inplace} d={0: [0]} 2'
E         Use -v to get more diff

tests/test_printing.py:301: AssertionError



------------------------


____________________ test_ExternalCOp_c_code_cache_version _____________________

    def test_ExternalCOp_c_code_cache_version():
        """Make sure the C cache versions produced by `ExternalCOp` don't depend on `hash` seeding."""
    
        with tempfile.NamedTemporaryFile(dir=".", suffix=".py") as tmp:
            tmp.write(externalcop_test_code.encode())
            tmp.seek(0)
            # modname = os.path.splitext(tmp.name)[0]
            modname = tmp.name
            out_1, err = get_hash(modname, seed=428)
            assert err is None
            out_2, err = get_hash(modname, seed=3849)
            assert err is None
    
>           hash_1, msg, _ = out_1.decode().split("\n")
E           ValueError: too many values to unpack (expected 3)

tests/link/c/test_op.py:230: ValueError

PyTensor version information:

Version 2.18.0

Context for the issue:

I am working on updating pytensor from 2.17.3 to 2.18.0 on nixpkgs.

[ricardoV94]

I can't reproduce locally, and our CI seems to be working. Can you check the output of python -c "import pytensor; print(pytensor.config)" and maybe also the one you were getting with the previous version? (The diff should be enough)

[GaetanLepage]

Here is what I get:

WARNING (pytensor.tensor.blas): Using NumPy C-API based implementation for BLAS functions.
floatX ({'float16', 'float32', 'float64'}) 
    Doc:  Default floating-point precision for python casts.

Note: float16 support is experimental, use at your own risk.
    Value:  float64

warn_float64 ({'pdb', 'ignore', 'warn', 'raise'}) 
    Doc:  Do an action when a tensor variable with float64 dtype is created.
    Value:  ignore

pickle_test_value (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff747bc290>>) 
    Doc:  Dump test values while pickling model. If True, test values will be dumped with model.
    Value:  True

cast_policy ({'numpy+floatX', 'custom'}) 
    Doc:  Rules for implicit type casting
    Value:  custom

deterministic ({'more', 'default'}) 
    Doc:  If `more`, sometimes we will select some implementation that are more deterministic, but slower.  Also see the dnn.conv.algo* flags to cover more cases.
    Value:  default

device (cpu)
    Doc:  Default device for computations. only cpu is supported for now
    Value:  cpu

force_device (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff73dcfb90>>) 
    Doc:  Raise an error if we can't use the specified device
    Value:  False

conv__assert_shape (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394e650>>) 
    Doc:  If True, AbstractConv* ops will verify that user-provided shapes match the runtime shapes (debugging option, may slow down compilation)
    Value:  False

print_global_stats (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff749d56d0>>) 
    Doc:  Print some global statistics (time spent) at the end
    Value:  False

assert_no_cpu_op ({'pdb', 'ignore', 'warn', 'raise'}) 
    Doc:  Raise an error/warning if there is a CPU op in the computational graph.
    Value:  ignore

unpickle_function (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394e850>>) 
    Doc:  Replace unpickled PyTensor functions with None. This is useful to unpickle old graphs that pickled them when it shouldn't
    Value:  True

<pytensor.configparser.ConfigParam object at 0x7fff7394e8d0>
    Doc:  Default compilation mode
    Value:  Mode

cxx (<class 'str'>) 
    Doc:  The C++ compiler to use. Currently only g++ is supported, but supporting additional compilers should not be too difficult. If it is empty, no C++ code is compiled.
    Value:  /nix/store/90h6k8ylkgn81k10190v5c9ldyjpzgl9-gcc-wrapper-12.3.0/bin/g++

linker ({'c|py', 'c|py_nogc', 'cvm_nogc', 'c', 'vm', 'cvm', 'py', 'vm_nogc'}) 
    Doc:  Default linker used if the pytensor flags mode is Mode
    Value:  cvm

allow_gc (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394e990>>) 
    Doc:  Do we default to delete intermediate results during PyTensor function calls? Doing so lowers the memory requirement, but asks that we reallocate memory at the next function call. This is implemented for the default linker, but may not work for all linkers.
    Value:  True

optimizer ({'o3', 'fast_run', 'fast_compile', 'unsafe', 'o4', 'o2', 'merge', 'None', 'o1'}) 
    Doc:  Default optimizer. If not None, will use this optimizer with the Mode
    Value:  o4

optimizer_verbose (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7456ffd0>>) 
    Doc:  If True, we print all optimization being applied
    Value:  False

on_opt_error ({'raise', 'warn', 'ignore', 'pdb'}) 
    Doc:  What to do when an optimization crashes: warn and skip it, raise the exception, or fall into the pdb debugger.
    Value:  warn

nocleanup (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394e9d0>>) 
    Doc:  Suppress the deletion of code files that did not compile cleanly
    Value:  False

on_unused_input ({'raise', 'warn', 'ignore'}) 
    Doc:  What to do if a variable in the 'inputs' list of  pytensor.function() is not used in the graph.
    Value:  raise

gcc__cxxflags (<class 'str'>) 
    Doc:  Extra compiler flags for gcc
    Value:  

cmodule__warn_no_version (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394eed0>>) 
    Doc:  If True, will print a warning when compiling one or more Op with C code that can't be cached because there is no c_code_cache_version() function associated to at least one of those Ops.
    Value:  False

cmodule__remove_gxx_opt (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394ee90>>) 
    Doc:  If True, will remove the -O* parameter passed to g++.This is useful to debug in gdb modules compiled by PyTensor.The parameter -g is passed by default to g++
    Value:  False

cmodule__compilation_warning (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff73dcfe90>>) 
    Doc:  If True, will print compilation warnings.
    Value:  False

cmodule__preload_cache (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394f090>>) 
    Doc:  If set to True, will preload the C module cache at import time
    Value:  False

cmodule__age_thresh_use (<class 'int'>) 
    Doc:  In seconds. The time after which PyTensor won't reuse a compile c module.
    Value:  2073600

cmodule__debug (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394f1d0>>) 
    Doc:  If True, define a DEBUG macro (if not exists) for any compiled C code.
    Value:  False

compile__wait (<class 'int'>) 
    Doc:  Time to wait before retrying to acquire the compile lock.
    Value:  5

compile__timeout (<class 'int'>) 
    Doc:  In seconds, time that a process will wait before deciding to
    override an existing lock. An override only happens when the existing
    lock is held by the same owner *and* has not been 'refreshed' by this
    owner for more than this period. Refreshes are done every half timeout
    period for running processes.
    Value:  120

ctc__root (<class 'str'>) 
    Doc:  Directory which contains the root of Baidu CTC library. It is assumed         that the compiled library is either inside the build, lib or lib64         subdirectory, and the header inside the include directory.
    Value:  

tensor__cmp_sloppy (<class 'int'>) 
    Doc:  Relax pytensor.tensor.math._allclose (0) not at all, (1) a bit, (2) more
    Value:  0

lib__amblibm (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7479ef90>>) 
    Doc:  Use amd's amdlibm numerical library
    Value:  False

tensor__insert_inplace_optimizer_validate_nb (<class 'int'>) 
    Doc:  -1: auto, if graph have less then 500 nodes 1, else 10
    Value:  -1

traceback__limit (<class 'int'>) 
    Doc:  The number of stack to trace. -1 mean all.
    Value:  8

traceback__compile_limit (<class 'int'>) 
    Doc:  The number of stack to trace to keep during compilation. -1 mean all. If greater then 0, will also make us save PyTensor internal stack trace.
    Value:  0

warn__ignore_bug_before ({'0.3', '0.8', '0.5', '0.10', 'None', '0.9', '0.6', '0.4.1', '1.0.2', '0.8.1', '1.0', '0.8.2', '1.0.4', 'all', '1.0.1', '0.7', '1.0.5', '1.0.3', '0.4'}) 
    Doc:  If 'None', we warn about all PyTensor bugs found by default. If 'all', we don't warn about PyTensor bugs found by default. If a version, we print only the warnings relative to PyTensor bugs found after that version. Warning for specific bugs can be configured with specific [warn] flags.
    Value:  0.9

exception_verbosity ({'high', 'low'}) 
    Doc:  If 'low', the text of exceptions will generally refer to apply nodes with short names such as Elemwise{add_no_inplace}. If 'high', some exceptions will also refer to apply nodes with long descriptions  like:
        A. Elemwise{add_no_inplace}
                B. log_likelihood_v_given_h
                C. log_likelihood_h
    Value:  low

print_test_value (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394f610>>) 
    Doc:  If 'True', the __eval__ of an PyTensor variable will return its test_value when this is available. This has the practical consequence that, e.g., in debugging `my_var` will print the same as `my_var.tag.test_value` when a test value is defined.
    Value:  False

compute_test_value ({'off', 'ignore', 'warn', 'raise', 'pdb'}) 
    Doc:  If 'True', PyTensor will run each op at graph build time, using Constants, SharedVariables and the tag 'test_value' as inputs to the function. This helps the user track down problems in the graph before it gets optimized.
    Value:  off

compute_test_value_opt ({'off', 'ignore', 'warn', 'raise', 'pdb'}) 
    Doc:  For debugging PyTensor optimization only. Same as compute_test_value, but is used during PyTensor optimization
    Value:  off

check_input (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394f750>>) 
    Doc:  Specify if types should check their input in their C code. It can be used to speed up compilation, reduce overhead (particularly for scalars) and reduce the number of generated C files.
    Value:  True

NanGuardMode__nan_is_error (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394f850>>) 
    Doc:  Default value for nan_is_error
    Value:  True

NanGuardMode__inf_is_error (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394f990>>) 
    Doc:  Default value for inf_is_error
    Value:  True

NanGuardMode__big_is_error (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394fa10>>) 
    Doc:  Default value for big_is_error
    Value:  True

NanGuardMode__action ({'raise', 'warn', 'pdb'}) 
    Doc:  What NanGuardMode does when it finds a problem
    Value:  raise

DebugMode__patience (<class 'int'>) 
    Doc:  Optimize graph this many times to detect inconsistency
    Value:  10

DebugMode__check_c (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394fc50>>) 
    Doc:  Run C implementations where possible
    Value:  True

DebugMode__check_py (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff74857ed0>>) 
    Doc:  Run Python implementations where possible
    Value:  True

DebugMode__check_finite (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394fb10>>) 
    Doc:  True -> complain about NaN/Inf results
    Value:  True

DebugMode__check_strides (<class 'int'>) 
    Doc:  Check that Python- and C-produced ndarrays have same strides. On difference: (0) - ignore, (1) warn, or (2) raise error
    Value:  0

DebugMode__warn_input_not_reused (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394fdd0>>) 
    Doc:  Generate a warning when destroy_map or view_map says that an op works inplace, but the op did not reuse the input for its output.
    Value:  True

DebugMode__check_preallocated_output (<class 'str'>) 
    Doc:  Test thunks with pre-allocated memory as output storage. This is a list of strings separated by ":". Valid values are: "initial" (initial storage in storage map, happens with Scan),"previous" (previously-returned memory), "c_contiguous", "f_contiguous", "strided" (positive and negative strides), "wrong_size" (larger and smaller dimensions), and "ALL" (all of the above).
    Value:  

DebugMode__check_preallocated_output_ndim (<class 'int'>) 
    Doc:  When testing with "strided" preallocated output memory, test all combinations of strides over that number of (inner-most) dimensions. You may want to reduce that number to reduce memory or time usage, but it is advised to keep a minimum of 2.
    Value:  4

profiling__time_thunks (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394fed0>>) 
    Doc:  Time individual thunks when profiling
    Value:  True

profiling__n_apply (<class 'int'>) 
    Doc:  Number of Apply instances to print by default
    Value:  20

profiling__n_ops (<class 'int'>) 
    Doc:  Number of Ops to print by default
    Value:  20

profiling__output_line_width (<class 'int'>) 
    Doc:  Max line width for the profiling output
    Value:  512

profiling__min_memory_size (<class 'int'>) 
    Doc:  For the memory profile, do not print Apply nodes if the size
                 of their outputs (in bytes) is lower than this threshold
    Value:  1024

profiling__min_peak_memory (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394ff10>>) 
    Doc:  The min peak memory usage of the order
    Value:  False

profiling__destination (<class 'str'>) 
    Doc:  File destination of the profiling output
    Value:  stderr

profiling__debugprint (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394fd50>>) 
    Doc:  Do a debugprint of the profiled functions
    Value:  False

profiling__ignore_first_call (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7393c050>>) 
    Doc:  Do we ignore the first call of an PyTensor function.
    Value:  False

on_shape_error ({'raise', 'warn'}) 
    Doc:  warn: print a warning and use the default value. raise: raise an error
    Value:  warn

openmp (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7479d0d0>>) 
    Doc:  Allow (or not) parallel computation on the CPU with OpenMP. This is the default value used when creating an Op that supports OpenMP parallelization. It is preferable to define it via the PyTensor configuration file ~/.pytensorrc or with the environment variable PYTENSOR_FLAGS. Parallelization is only done for some operations that implement it, and even for operations that implement parallelism, each operation is free to respect this flag or not. You can control the number of threads used with the environment variable OMP_NUM_THREADS. If it is set to 1, we disable openmp in PyTensor by default.
    Value:  False

openmp_elemwise_minsize (<class 'int'>) 
    Doc:  If OpenMP is enabled, this is the minimum size of vectors for which the openmp parallelization is enabled in element wise ops.
    Value:  200000

optimizer_excluding (<class 'str'>) 
    Doc:  When using the default mode, we will remove optimizer with these tags. Separate tags with ':'.
    Value:  

optimizer_including (<class 'str'>) 
    Doc:  When using the default mode, we will add optimizer with these tags. Separate tags with ':'.
    Value:  

optimizer_requiring (<class 'str'>) 
    Doc:  When using the default mode, we will require optimizer with these tags. Separate tags with ':'.
    Value:  

optdb__position_cutoff (<class 'float'>) 
    Doc:  Where to stop earlier during optimization. It represent the position of the optimizer where to stop.
    Value:  inf

optdb__max_use_ratio (<class 'float'>) 
    Doc:  A ratio that prevent infinite loop in EquilibriumGraphRewriter.
    Value:  8.0

cycle_detection ({'fast', 'regular'}) 
    Doc:  If cycle_detection is set to regular, most inplaces are allowed,but it is slower. If cycle_detection is set to faster, less inplacesare allowed, but it makes the compilation faster.The interaction of which one give the lower peak memory usage iscomplicated and not predictable, so if you are close to the peakmemory usage, triyng both could give you a small gain.
    Value:  regular

check_stack_trace ({'off', 'log', 'raise', 'warn'}) 
    Doc:  A flag for checking the stack trace during the optimization process. default (off): does not check the stack trace of any optimization log: inserts a dummy stack trace that identifies the optimizationthat inserted the variable that had an empty stack trace.warn: prints a warning if a stack trace is missing and also a dummystack trace is inserted that indicates which optimization insertedthe variable that had an empty stack trace.raise: raises an exception if a stack trace is missing
    Value:  off

metaopt__verbose (<class 'int'>) 
    Doc:  0 for silent, 1 for only warnings, 2 for full output withtimings and selected implementation
    Value:  0

metaopt__optimizer_excluding (<class 'str'>) 
    Doc:  exclude optimizers with these tags. Separate tags with ':'.
    Value:  

metaopt__optimizer_including (<class 'str'>) 
    Doc:  include optimizers with these tags. Separate tags with ':'.
    Value:  

unittests__rseed (<class 'str'>) 
    Doc:  Seed to use for randomized unit tests. Special value 'random' means using a seed of None.
    Value:  666

warn__round (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7393c450>>) 
    Doc:  Warn when using `tensor.round` with the default mode. Round changed its default from `half_away_from_zero` to `half_to_even` to have the same default as NumPy.
    Value:  False

profile (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7393c590>>) 
    Doc:  If VM should collect profile information
    Value:  False

profile_optimizer (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7393c390>>) 
    Doc:  If VM should collect optimizer profile information
    Value:  False

profile_memory (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7393c5d0>>) 
    Doc:  If VM should collect memory profile information and print it
    Value:  False

<pytensor.configparser.ConfigParam object at 0x7fff73e070d0>
    Doc:  Useful only for the VM Linkers. When lazy is None, auto detect if lazy evaluation is needed and use the appropriate version. If the C loop isn't being used and lazy is True, use the Stack VM; otherwise, use the Loop VM.
    Value:  None

numba__vectorize_target ({'cuda', 'parallel', 'cpu'}) 
    Doc:  Default target for numba.vectorize.
    Value:  cpu

numba__fastmath (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7393c790>>) 
    Doc:  If True, use Numba's fastmath mode.
    Value:  True

numba__cache (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7393c6d0>>) 
    Doc:  If True, use Numba's file based caching.
    Value:  True

compiledir_format (<class 'str'>) 
    Doc:  Format string for platform-dependent compiled module subdirectory
(relative to base_compiledir). Available keys: device, gxx_version,
hostname, numpy_version, platform, processor, pytensor_version,
python_bitwidth, python_int_bitwidth, python_version, short_platform.
Defaults to compiledir_%(short_platform)s-%(processor)s-
%(python_version)s-%(python_bitwidth)s.
    Value:  compiledir_%(short_platform)s-%(processor)s-%(python_version)s-%(python_bitwidth)s

<pytensor.configparser.ConfigParam object at 0x7fff74af4690>
    Doc:  platform-independent root directory for compiled modules
    Value:  /build/tmp.gHcmWT784l/.pytensor

<pytensor.configparser.ConfigParam object at 0x7fff7456fb90>
    Doc:  platform-dependent cache directory for compiled modules
    Value:  /build/tmp.gHcmWT784l/.pytensor/compiledir_Linux-6.1.62-x86_64-with-glibc2.38--3.11.6-64

blas__ldflags (<class 'str'>) 
    Doc:  lib[s] to include for [Fortran] level-3 blas implementation
    Value:  

blas__check_openmp (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff73751090>>) 
    Doc:  Check for openmp library conflict.
WARNING: Setting this to False leaves you open to wrong results in blas-related operations.
    Value:  True

scan__allow_gc (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffeee3d38d0>>) 
    Doc:  Allow/disallow gc inside of Scan (default: False)
    Value:  False

scan__allow_output_prealloc (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffeee975590>>) 
    Doc:  Allow/disallow memory preallocation for outputs inside of scan (default: True)
    Value:  True

[ricardoV94]

How does it compare with before it started failing?

[GaetanLepage]

Sorry for the delay !
Here is the diff:

diff --git a/old.txt b/new.txt
index 624402e..325c0df 100644
--- a/old.txt
+++ b/new.txt
@@ -1,3 +1,4 @@
+WARNING (pytensor.tensor.blas): Using NumPy C-API based implementation for BLAS functions.
 floatX ({'float16', 'float32', 'float64'})
     Doc:  Default floating-point precision for python casts.
 
@@ -8,7 +9,7 @@ warn_float64 ({'pdb', 'ignore', 'warn', 'raise'})
     Doc:  Do an action when a tensor variable with float64 dtype is created.
     Value:  ignore
 
-pickle_test_value (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6f8e3290>>)
+pickle_test_value (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff747bc290>>)
     Doc:  Dump test values while pickling model. If True, test values will be dumped with model.
     Value:  True
 
@@ -24,15 +25,15 @@ device (cpu)
     Doc:  Default device for computations. only cpu is supported for now
     Value:  cpu
 
-force_device (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffff73e9150>>)
+force_device (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff73dcfb90>>)
     Doc:  Raise an error if we can't use the specified device
     Value:  False
 
-conv__assert_shape (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6f701090>>)
+conv__assert_shape (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394e650>>)
     Doc:  If True, AbstractConv* ops will verify that user-provided shapes match the runtime shapes (debugging option, may slow down compilation)
     Value:  False
 
-print_global_stats (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6e8fed90>>)
+print_global_stats (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff749d56d0>>)
     Doc:  Print some global statistics (time spent) at the end
     Value:  False
 
@@ -40,23 +41,23 @@ assert_no_cpu_op ({'pdb', 'ignore', 'warn', 'raise'})
     Doc:  Raise an error/warning if there is a CPU op in the computational graph.
     Value:  ignore
 
-unpickle_function (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6e8fee50>>)
+unpickle_function (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394e850>>)
     Doc:  Replace unpickled PyTensor functions with None. This is useful to unpickle old graphs that pickled them when it shouldn't
     Value:  True
 
-<pytensor.configparser.ConfigParam object at 0x7ffe6e8fef50>
+<pytensor.configparser.ConfigParam object at 0x7fff7394e8d0>
     Doc:  Default compilation mode
     Value:  Mode
 
 cxx (<class 'str'>)
     Doc:  The C++ compiler to use. Currently only g++ is supported, but supporting additional compilers should not be too difficult. If it is empty, no C++ code is compiled.
-    Value:  /nix/store/zlzz2z48s7ry0hkl55xiqp5a73b4mzrg-gcc-wrapper-12.3.0/bin/g++
+    Value:  /nix/store/90h6k8ylkgn81k10190v5c9ldyjpzgl9-gcc-wrapper-12.3.0/bin/g++
 
 linker ({'c|py', 'c|py_nogc', 'cvm_nogc', 'c', 'vm', 'cvm', 'py', 'vm_nogc'})
     Doc:  Default linker used if the pytensor flags mode is Mode
     Value:  cvm
 
-allow_gc (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6e8ff250>>)
+allow_gc (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394e990>>)
     Doc:  Do we default to delete intermediate results during PyTensor function calls? Doing so lowers the memory requirement, but asks that we reallocate memory at the next function call. This is implemented for the default linker, but may not work for all linkers.
     Value:  True
 
@@ -64,7 +65,7 @@ optimizer ({'o3', 'fast_run', 'fast_compile', 'unsafe', 'o4', 'o2', 'merge', 'No
     Doc:  Default optimizer. If not None, will use this optimizer with the Mode
     Value:  o4
 
-optimizer_verbose (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6edb2f10>>)
+optimizer_verbose (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7456ffd0>>)
     Doc:  If True, we print all optimization being applied
     Value:  False
 
@@ -72,7 +73,7 @@ on_opt_error ({'raise', 'warn', 'ignore', 'pdb'})
     Doc:  What to do when an optimization crashes: warn and skip it, raise the exception, or fall into the pdb debugger.
     Value:  warn
 
-nocleanup (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6e8ff290>>)
+nocleanup (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394e9d0>>)
     Doc:  Suppress the deletion of code files that did not compile cleanly
     Value:  False
 
@@ -84,19 +85,19 @@ gcc__cxxflags (<class 'str'>)
     Doc:  Extra compiler flags for gcc
     Value:
 
-cmodule__warn_no_version (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6e8ff390>>)
+cmodule__warn_no_version (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394eed0>>)
     Doc:  If True, will print a warning when compiling one or more Op with C code that can't be cached because there is no c_code_cache_version() function associated to at least one of those Ops.
     Value:  False
 
-cmodule__remove_gxx_opt (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6e8ff4d0>>)
+cmodule__remove_gxx_opt (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394ee90>>)
     Doc:  If True, will remove the -O* parameter passed to g++.This is useful to debug in gdb modules compiled by PyTensor.The parameter -g is passed by default to g++
     Value:  False
 
-cmodule__compilation_warning (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6e8ff590>>)
+cmodule__compilation_warning (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff73dcfe90>>)
     Doc:  If True, will print compilation warnings.
     Value:  False
 
-cmodule__preload_cache (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffff71c3190>>)
+cmodule__preload_cache (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394f090>>)
     Doc:  If set to True, will preload the C module cache at import time
     Value:  False
 
@@ -104,7 +105,7 @@ cmodule__age_thresh_use (<class 'int'>)
     Doc:  In seconds. The time after which PyTensor won't reuse a compile c module.
     Value:  2073600
 
-cmodule__debug (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6f6db850>>)
+cmodule__debug (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394f1d0>>)
     Doc:  If True, define a DEBUG macro (if not exists) for any compiled C code.
     Value:  False
 
@@ -128,7 +129,7 @@ tensor__cmp_sloppy (<class 'int'>)
     Doc:  Relax pytensor.tensor.math._allclose (0) not at all, (1) a bit, (2) more
     Value:  0
 
-lib__amblibm (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6e8ff790>>)
+lib__amblibm (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7479ef90>>)
     Doc:  Use amd's amdlibm numerical library
     Value:  False
 
@@ -155,7 +156,7 @@ exception_verbosity ({'high', 'low'})
                 C. log_likelihood_h
     Value:  low
 
-print_test_value (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6e8ffcd0>>)
+print_test_value (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394f610>>)
     Doc:  If 'True', the __eval__ of an PyTensor variable will return its test_value when this is available. This has the practical consequence that, e.g., in debugging `my_var` will print the same as `my_var.tag.test_value` when a test value is defined.
     Value:  False
 
@@ -167,19 +168,19 @@ compute_test_value_opt ({'off', 'ignore', 'warn', 'raise', 'pdb'})
     Doc:  For debugging PyTensor optimization only. Same as compute_test_value, but is used during PyTensor optimization
     Value:  off
 
-check_input (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6e8ffdd0>>)
+check_input (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394f750>>)
     Doc:  Specify if types should check their input in their C code. It can be used to speed up compilation, reduce overhead (particularly for scalars) and reduce the number of generated C files.
     Value:  True
 
-NanGuardMode__nan_is_error (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6e8fff10>>)
+NanGuardMode__nan_is_error (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394f850>>)
     Doc:  Default value for nan_is_error
     Value:  True
 
-NanGuardMode__inf_is_error (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6eae4090>>)
+NanGuardMode__inf_is_error (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394f990>>)
     Doc:  Default value for inf_is_error
     Value:  True
 
-NanGuardMode__big_is_error (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6eae4110>>)
+NanGuardMode__big_is_error (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394fa10>>)
     Doc:  Default value for big_is_error
     Value:  True
 
@@ -191,15 +192,15 @@ DebugMode__patience (<class 'int'>)
     Doc:  Optimize graph this many times to detect inconsistency
     Value:  10
 
-DebugMode__check_c (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6f75b0d0>>)
+DebugMode__check_c (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394fc50>>)
     Doc:  Run C implementations where possible
     Value:  True
 
-DebugMode__check_py (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6eae4350>>)
+DebugMode__check_py (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff74857ed0>>)
     Doc:  Run Python implementations where possible
     Value:  True
 
-DebugMode__check_finite (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffff76139d0>>)
+DebugMode__check_finite (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394fb10>>)
     Doc:  True -> complain about NaN/Inf results
     Value:  True
 
@@ -207,7 +208,7 @@ DebugMode__check_strides (<class 'int'>)
     Doc:  Check that Python- and C-produced ndarrays have same strides. On difference: (0) - ignore, (1) warn, or (2) raise error
     Value:  0
 
-DebugMode__warn_input_not_reused (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6f75b990>>)
+DebugMode__warn_input_not_reused (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394fdd0>>)
     Doc:  Generate a warning when destroy_map or view_map says that an op works inplace, but the op did not reuse the input for its output.
     Value:  True
 
@@ -219,7 +220,7 @@ DebugMode__check_preallocated_output_ndim (<class 'int'>)
     Doc:  When testing with "strided" preallocated output memory, test all combinations of strides over that number of (inner-most) dimensions. You may want to reduce that number to reduce memory or time usage, but it is advised to keep a minimum of 2.
     Value:  4
 
-profiling__time_thunks (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6eae4450>>)
+profiling__time_thunks (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394fed0>>)
     Doc:  Time individual thunks when profiling
     Value:  True
 
@@ -240,7 +241,7 @@ profiling__min_memory_size (<class 'int'>)
                  of their outputs (in bytes) is lower than this threshold
     Value:  1024
 
-profiling__min_peak_memory (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6eae4610>>)
+profiling__min_peak_memory (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394ff10>>)
     Doc:  The min peak memory usage of the order
     Value:  False
 
@@ -248,11 +249,11 @@ profiling__destination (<class 'str'>)
     Doc:  File destination of the profiling output
     Value:  stderr
 
-profiling__debugprint (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6f8e1c90>>)
+profiling__debugprint (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7394fd50>>)
     Doc:  Do a debugprint of the profiled functions
     Value:  False
 
-profiling__ignore_first_call (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6eae47d0>>)
+profiling__ignore_first_call (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7393c050>>)
     Doc:  Do we ignore the first call of an PyTensor function.
     Value:  False
 
@@ -260,7 +261,7 @@ on_shape_error ({'raise', 'warn'})
     Doc:  warn: print a warning and use the default value. raise: raise an error
     Value:  warn
 
-openmp (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffff73bb910>>)
+openmp (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7479d0d0>>)
     Doc:  Allow (or not) parallel computation on the CPU with OpenMP. This is the default value used when creating an Op that supports OpenMP parallelization. It is preferable to define it via the PyTensor configuration file ~/.pytensorrc or with the environment variable PYTENSOR_FLAGS. Parallelization is only done for some operations that implement it, and even for operations that implement parallelism, each operation is free to respect this flag or not. You can control the number of threads used with the environment variable OMP_NUM_THREADS. If it is set to 1, we disable openmp in PyTensor by default.
     Value:  False
 
@@ -312,23 +313,23 @@ unittests__rseed (<class 'str'>)
     Doc:  Seed to use for randomized unit tests. Special value 'random' means using a seed of None.
     Value:  666
 
-warn__round (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6eae4bd0>>)
+warn__round (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7393c450>>)
     Doc:  Warn when using `tensor.round` with the default mode. Round changed its default from `half_away_from_zero` to `half_to_even` to have the same default as NumPy.
     Value:  False
 
-profile (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6eae4c50>>)
+profile (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7393c590>>)
     Doc:  If VM should collect profile information
     Value:  False
 
-profile_optimizer (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6eae4c90>>)
+profile_optimizer (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7393c390>>)
     Doc:  If VM should collect optimizer profile information
     Value:  False
 
-profile_memory (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6eda86d0>>)
+profile_memory (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7393c5d0>>)
     Doc:  If VM should collect memory profile information and print it
     Value:  False
 
-<pytensor.configparser.ConfigParam object at 0x7ffe6eae4dd0>
+<pytensor.configparser.ConfigParam object at 0x7fff73e070d0>
     Doc:  Useful only for the VM Linkers. When lazy is None, auto detect if lazy evaluation is needed and use the appropriate version. If the C loop isn't being used and lazy is True, use the Stack VM; otherwise, use the Loop VM.
     Value:  None
 
@@ -336,11 +337,11 @@ numba__vectorize_target ({'cuda', 'parallel', 'cpu'})
     Doc:  Default target for numba.vectorize.
     Value:  cpu
 
-numba__fastmath (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6f8e23d0>>)
+numba__fastmath (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7393c790>>)
     Doc:  If True, use Numba's fastmath mode.
     Value:  True
 
-numba__cache (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6eae4ed0>>)
+numba__cache (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff7393c6d0>>)
     Doc:  If True, use Numba's file based caching.
     Value:  True
 
@@ -353,27 +354,27 @@ Defaults to compiledir_%(short_platform)s-%(processor)s-
 %(python_version)s-%(python_bitwidth)s.
     Value:  compiledir_%(short_platform)s-%(processor)s-%(python_version)s-%(python_bitwidth)s
 
-<pytensor.configparser.ConfigParam object at 0x7ffe6f9b6850>
+<pytensor.configparser.ConfigParam object at 0x7fff74af4690>
     Doc:  platform-independent root directory for compiled modules
-    Value:  /build/tmp.41UnBoqk62/.pytensor
+    Value:  /build/tmp.gHcmWT784l/.pytensor
 
-<pytensor.configparser.ConfigParam object at 0x7ffe6f94a390>
+<pytensor.configparser.ConfigParam object at 0x7fff7456fb90>
     Doc:  platform-dependent cache directory for compiled modules
-    Value:  /build/tmp.41UnBoqk62/.pytensor/compiledir_Linux-6.5--generic-x86_64-with-glibc2.38--3.11.5-64
+    Value:  /build/tmp.gHcmWT784l/.pytensor/compiledir_Linux-6.1.62-x86_64-with-glibc2.38--3.11.6-64
 
 blas__ldflags (<class 'str'>)
     Doc:  lib[s] to include for [Fortran] level-3 blas implementation
-    Value:  -L/nix/store/fcfbp2iphh271h19m3g0hi5q0x20l8vv-lapack-3/lib -L/nix/store/29jz2fshxr7lf0ny4hb3q3z0jqpqmfz7-blas-3/lib -llapack -llapacke -lblas -lcblas -llapack -llapacke -lblas -lcblas
+    Value:
 
-blas__check_openmp (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6e700e90>>)
+blas__check_openmp (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7fff73751090>>)
     Doc:  Check for openmp library conflict.
 WARNING: Setting this to False leaves you open to wrong results in blas-related operations.
     Value:  True
 
-scan__allow_gc (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6b0058d0>>)
+scan__allow_gc (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffeee3d38d0>>)
     Doc:  Allow/disallow gc inside of Scan (default: False)
     Value:  False
 
-scan__allow_output_prealloc (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffe6b3d9610>>)
+scan__allow_output_prealloc (<bound method BoolParam._apply of <pytensor.configparser.BoolParam object at 0x7ffeee975590>>)
     Doc:  Allow/disallow memory preallocation for outputs inside of scan (default: True)
     Value:  True

[GaetanLepage]

• new.txt is the failing 2.18.0 build.
• old.txt is the 2.17.0 working one.

[ricardoV94]

Thanks! The diff is a bit verbose because of the memory locations, but the critical changes seems to be here:

+WARNING (pytensor.tensor.blas): Using NumPy C-API based implementation for BLAS functions.
...
 blas__ldflags (<class 'str'>)
     Doc:  lib[s] to include for [Fortran] level-3 blas implementation
-    Value:  -L/nix/store/fcfbp2iphh271h19m3g0hi5q0x20l8vv-lapack-3/lib -L/nix/store/29jz2fshxr7lf0ny4hb3q3z0jqpqmfz7-blas-3/lib -llapack -llapacke -lblas -lcblas -llapack -llapacke -lblas -lcblas
+    Value:

This is most likely caused by #444

CC @lucianopaz

[GaetanLepage]

Oh, thanks for pointing this out.
Do you recommend us to change our build flags then or is is something you plan to "fix" ?

[ricardoV94]

I think we should fix it. We didn't want the behavior to change for users

[GaetanLepage]

I think we should fix it. We didn't want the behavior to change for users

Ok, understood. We will then wait for the next release to update.
Thanks for your help :)

[lucianopaz]

I’m confused about the two failing tests. The first says that we expect a C implementation of GeMV but we get a python implementation instead? Or the other way around? Does this mean that the lapack link flags are wrong? If that’s the case, should we remove the lapack blas flags from the check our should we fix lapack? The second failure I don’t know

[ricardoV94]

The first says that we expect a C implementation of GeMV but we get a python implementation instead

The test was expecting a CGEMV and gets a GEMV because PyTensor is not finding the blas/lapack (I don't know the difference) flags in the newer version (so the rewrite that introduces the C version doesn't get triggered). @GaetanLepage showed that indeed the new flags are empty and it now gets the usual using numpy impl warning.

I think the second test failure comes from the same source. It is supposed to work if some blas Ops get inserted but they are not.