format python files

Author: castigli

mlir/test/Examples/NVGPU/Ch0.py

@@ -42,6 +42,7 @@ def kernel():
     # 3. Call the GPU kernel
     kernel()
 
+
 alpha = 100
 # 4. The `mlir_func` decorator JIT compiles the IR and executes the MLIR function.
 main(alpha)

mlir/test/Examples/NVGPU/Ch1.py

@@ -24,7 +24,6 @@
 import numpy as np
 
 
-
 @NVDSL.mlir_func
 def saxpy(x, y, alpha):
     # 1. Use MLIR GPU dialect to allocate and copy memory

mlir/test/Examples/NVGPU/Ch2.py

@@ -28,6 +28,7 @@
 from mlir.extras import types as T
 import numpy as np
 
+
 @NVDSL.mlir_func
 def saxpy(x, y, alpha):
     token_ty = gpu.AsyncTokenType.get()

mlir/test/Examples/NVGPU/Ch3.py

@@ -25,6 +25,7 @@
 from mlir.extras import types as T
 import numpy as np
 
+
 def tma_load(
     mbar_group: Mbarriers,
     a_tma: TMA,

mlir/test/Examples/NVGPU/Ch4.py

@@ -52,7 +52,6 @@
 import numpy as np
 
 
-
 def partition_shape():
     """
     Calculate the partition shape based on the block IDs.

mlir/test/Examples/NVGPU/Ch5.py

@@ -52,7 +52,6 @@
 import numpy as np
 
 
-
 def partition_shape():
     """
     Calculate the partition shape based on the block IDs.
@@ -479,4 +478,4 @@ def gemm_warp_specialized_kernel():
 # DUMPIR:           memref.store %{{.*}}, %[[SUBVIEW]][%arg15, %[[TID_EPI]]] : memref<128x128xf32, strided<[256, 1], offset: ?>>
 # DUMPIR:         }
 # DUMPIR:       }
-# DUMPIR:       gpu.terminator
+# DUMPIR:       gpu.terminator

mlir/test/Examples/NVGPU/tools/nvdsl.py

@@ -11,6 +11,7 @@
 MLIR_DYNAMIC = -9223372036854775808
 DUMP_ONLY = os.getenv("MLIR_NVDSL_PRINT_IR") == "1"
 
+
 def const(value: int, ty=None):
     ty = T.index() if ty is None else ty
     if isinstance(value, ir.Value) and (