Op_builder->is_compatible quite warning (#6093)

Set the default value of op_builder/xxx.py/is_compatible()/verbose to
False for quite warning.
Add verbose judgement before
op_builder/xxx.py/is_compatible()/self.warning(...).
Otherwise the verbose arg will not work.

---------

Co-authored-by: Logan Adams <114770087+loadams@users.noreply.github.com>

op_builder/builder.py

@@ -296,7 +296,7 @@ class OpBuilder(ABC):
         '''
         return []
 
-    def is_compatible(self, verbose=True):
+    def is_compatible(self, verbose=False):
         '''
         Check if all non-python dependencies are satisfied to build this op
         '''
@@ -679,7 +679,7 @@ class CUDAOpBuilder(OpBuilder):
             version_ge_1_5 = ['-DVERSION_GE_1_5']
         return version_ge_1_1 + version_ge_1_3 + version_ge_1_5
 
-    def is_compatible(self, verbose=True):
+    def is_compatible(self, verbose=False):
         return super().is_compatible(verbose)
 
     def builder(self):

op_builder/cpu/comm.py

@@ -28,7 +28,7 @@ class CCLCommBuilder(CPUOpBuilder):
     def cxx_args(self):
         return ['-O2', '-fopenmp']
 
-    def is_compatible(self, verbose=True):
+    def is_compatible(self, verbose=False):
         # TODO: add soft compatibility check for private binary release.
         #  a soft check, as in we know it can be trivially changed.
         return super().is_compatible(verbose)
@@ -65,7 +65,7 @@ class ShareMemCommBuilder(CPUOpBuilder):
     def cxx_args(self):
         return ['-O2', '-fopenmp']
 
-    def is_compatible(self, verbose=True):
+    def is_compatible(self, verbose=False):
         # TODO: add soft compatibility check for private binary release.
         #  a soft check, as in we know it can be trivially changed.
         return super().is_compatible(verbose)

op_builder/inference_core_ops.py

@@ -19,7 +19,7 @@ class InferenceCoreBuilder(CUDAOpBuilder):
     def absolute_name(self):
         return f'deepspeed.inference.v2.kernels{self.NAME}'
 
-    def is_compatible(self, verbose=True):
+    def is_compatible(self, verbose=False):
         try:
             import torch
         except ImportError:

op_builder/inference_cutlass_builder.py

@@ -18,7 +18,7 @@ class InferenceCutlassBuilder(CUDAOpBuilder):
     def absolute_name(self):
         return f'deepspeed.inference.v2.kernels.cutlass_ops.{self.NAME}'
 
-    def is_compatible(self, verbose=True):
+    def is_compatible(self, verbose=False):
         try:
             import torch
         except ImportError:

op_builder/npu/async_io.py

@@ -83,7 +83,7 @@ class AsyncIOBuilder(NPUOpBuilder):
                 break
         return found
 
-    def is_compatible(self, verbose=True):
+    def is_compatible(self, verbose=False):
         # Check for the existence of libaio by using distutils
         # to compile and link a test program that calls io_submit,
         # which is a function provided by libaio that is used in the async_io op.

op_builder/ragged_ops.py

@@ -19,7 +19,7 @@ class RaggedOpsBuilder(CUDAOpBuilder):
     def absolute_name(self):
         return f'deepspeed.inference.v2.kernels.ragged_ops.{self.NAME}'
 
-    def is_compatible(self, verbose=True):
+    def is_compatible(self, verbose=False):
         try:
             import torch
         except ImportError:

op_builder/ragged_utils.py

@@ -19,7 +19,7 @@ class RaggedUtilsBuilder(CUDAOpBuilder):
     def absolute_name(self):
         return f'deepspeed.inference.v2.{self.NAME}'
 
-    def is_compatible(self, verbose=True):
+    def is_compatible(self, verbose=False):
         try:
             import torch
         except ImportError:

op_builder/sparse_attn.py

@@ -64,7 +64,6 @@ class SparseAttnBuilder(OpBuilder):
             if verbose:
                 self.warning(
                     f'{self.NAME} requires a torch version >= 1.5 and < 2.0 but detected {TORCH_MAJOR}.{TORCH_MINOR}')
-
         try:
             import triton
         except ImportError:

op_builder/spatial_inference.py

@@ -17,7 +17,7 @@ class SpatialInferenceBuilder(CUDAOpBuilder):
     def absolute_name(self):
         return f'deepspeed.ops.spatial.{self.NAME}_op'
 
-    def is_compatible(self, verbose=True):
+    def is_compatible(self, verbose=False):
         try:
             import torch
         except ImportError:

op_builder/transformer_inference.py

@@ -17,7 +17,7 @@ class InferenceBuilder(CUDAOpBuilder):
     def absolute_name(self):
         return f'deepspeed.ops.transformer.inference.{self.NAME}_op'
 
-    def is_compatible(self, verbose=True):
+    def is_compatible(self, verbose=False):
         try:
             import torch
         except ImportError:

op_builder/xpu/async_io.py

@@ -79,7 +79,7 @@ class AsyncIOBuilder(OpBuilder):
                 break
         return found
 
-    def is_compatible(self, verbose=True):
+    def is_compatible(self, verbose=False):
         # Check for the existence of libaio by using distutils
         # to compile and link a test program that calls io_submit,
         # which is a function provided by libaio that is used in the async_io op.