Fix typo amblibm -> amdlibm

doc/library/config.rst

@@ -355,7 +355,7 @@ import ``pytensor`` and print the config variable, as in:
 
     When ``True``, ignore the first call to an PyTensor function while profiling.
 
-.. attribute:: config.lib__amblibm
+.. attribute:: config.lib__amdlibm
 
     Bool value: either ``True`` or ``False``
 

pytensor/compile/profiling.py

@@ -1566,26 +1566,26 @@ class ProfileStats:
             printed_tip = True
 
         # tip 2
-        if not config.lib__amblibm and any(
+        if not config.lib__amdlibm and any(
             amdlibm_speed_up(a.op) for (fgraph, a) in self.apply_time
         ):
             print(
                 "  - Try installing amdlibm and set the PyTensor flag "
-                "lib__amblibm=True. This speeds up only some Elemwise "
+                "lib__amdlibm=True. This speeds up only some Elemwise "
                 "operation.",
                 file=file,
             )
             printed_tip = True
 
         # tip 3
-        if not config.lib__amblibm and any(
+        if not config.lib__amdlibm and any(
             exp_float32_op(a.op) and a.inputs[0].dtype == "float32"
             for (fgraph, a) in self.apply_time
         ):
             print(
                 "  - With the default gcc libm, exp in float32 is slower "
                 "than in float64! Try PyTensor flag floatX=float64, or "
-                "install amdlibm and set the pytensor flags lib__amblibm=True",
+                "install amdlibm and set the pytensor flags lib__amdlibm=True",
                 file=file,
             )
             printed_tip = True

pytensor/configdefaults.py

@@ -547,7 +547,7 @@ def add_tensor_configvars():
 
     # http://developer.amd.com/CPU/LIBRARIES/LIBM/Pages/default.aspx
     config.add(
-        "lib__amblibm",
+        "lib__amdlibm",
         "Use amd's amdlibm numerical library",
         BoolParam(False),
         # Added elsewhere in the c key only when needed.

pytensor/configparser.py

@@ -95,7 +95,7 @@ class PyTensorConfigParser:
     compile__timeout: int
     # add_tensor_configvars
     tensor__cmp_sloppy: int
-    lib__amblibm: bool
+    lib__amdlibm: bool
     tensor__insert_inplace_optimizer_validate_nb: int
     # add_traceback_configvars
     traceback__limit: int

pytensor/scalar/basic.py

@@ -356,18 +356,18 @@ class ScalarType(CType, HasDataType, HasShape):
         # we declare them here and they will be re-used by TensorType
         l.append("<numpy/arrayobject.h>")
         l.append("<numpy/arrayscalars.h>")
-        if config.lib__amblibm and c_compiler.supports_amdlibm:
+        if config.lib__amdlibm and c_compiler.supports_amdlibm:
             l += ["<amdlibm.h>"]
         return l
 
     def c_libraries(self, c_compiler=None, **kwargs):
         l = []
-        if config.lib__amblibm and c_compiler and c_compiler.supports_amdlibm:
+        if config.lib__amdlibm and c_compiler and c_compiler.supports_amdlibm:
             l += ["amdlibm"]
         return l
 
     def c_compile_args(self, c_compiler=None, **kwargs):
-        if config.lib__amblibm and c_compiler and c_compiler.supports_amdlibm:
+        if config.lib__amdlibm and c_compiler and c_compiler.supports_amdlibm:
             return ["-DREPLACE_WITH_AMDLIBM"]
         else:
             return []
@@ -1245,7 +1245,7 @@ class UnaryScalarOp(ScalarOp):
     def c_code_contiguous(self, node, name, inputs, outputs, sub):
         (x,) = inputs
         (z,) = outputs
-        if not config.lib__amblibm or node.inputs[0].type != node.outputs[0].type:
+        if not config.lib__amdlibm or node.inputs[0].type != node.outputs[0].type:
             raise MethodNotDefined()
 
         dtype = node.inputs[0].type.dtype_specs()[1]
@@ -1260,7 +1260,7 @@ class UnaryScalarOp(ScalarOp):
         """
 
     def c_code_contiguous_raw(self, dtype, n, i, o):
-        if not config.lib__amblibm:
+        if not config.lib__amdlibm:
             raise MethodNotDefined()
         if dtype.startswith("npy_"):
             dtype = dtype[4:]
@@ -2296,7 +2296,7 @@ class Pow(BinaryScalarOp):
     def c_code_contiguous(self, node, name, inputs, outputs, sub):
         (x, y) = inputs
         (z,) = outputs
-        if not config.lib__amblibm:
+        if not config.lib__amdlibm:
             raise MethodNotDefined()
 
         # We compare the dtype AND the broadcast flag