Fix typo in travserse (#4469)

python/tvm/intrin.py

@@ -575,7 +575,7 @@ def register_intrin_rule(target, intrin, f=None, override=False):
         The name of codegen target.
 
     intrin : str
-        The name of the instrinsic.
+        The name of the intrinsic.
 
     f : function, optional
         The function to be registered.

src/api/api_pass.cc

@@ -18,7 +18,7 @@
  */
 
 /*!
- *  Exposre of pass functions.
+ *  Exposure of pass functions.
  * \file api_pass.cc
  */
 #include <tvm/expr.h>

src/pass/lower_warp_memory.cc

@@ -46,9 +46,9 @@ namespace ir {
 // This requires us to do the following rewriting:
 // - Rewrite allocation to use local memory.
 // - Rewrite store of warp memory to local store.
-// - Rewrite load of waro memory to local plus a shuffle.
+// - Rewrite load of warp memory to local plus a shuffle.
 //
-// Define a generic shuffle instrinsic warp_shuffle(data, warp_index).
+// Define a generic shuffle intrinsic warp_shuffle(data, warp_index).
 // We can use the following rewriting rule
 //
 // Before rewrite,

topi/python/topi/arm_cpu/bitserial_dense.py

@@ -158,7 +158,7 @@ def schedule_bitserial_dense(cfg, outs):
         return s
 
     def traverse(op):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(op.tag) or 'elemwise' in op.tag:
             if op not in s.outputs:

topi/python/topi/bifrost/depthwise_conv2d.py

@@ -104,7 +104,7 @@ def schedule_depthwise_conv2d_nchw(outs):
             s[conv].compute_at(s[output], ji)
 
     def traverse(op):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(op.tag):
             if op not in s.outputs:

topi/python/topi/cuda/dense.py

@@ -105,7 +105,7 @@ def schedule_dense(cfg, outs):
     scheduled_ops = []
 
     def traverse(OP):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(OP.tag):
             if OP not in s.outputs:

topi/python/topi/cuda/depthwise_conv2d.py

@@ -192,7 +192,7 @@ def schedule_depthwise_conv2d_nhwc(outs):
     scheduled_ops = []
 
     def traverse(OP):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(OP.tag):
             if OP not in s.outputs:

topi/python/topi/cuda/pooling.py

@@ -68,7 +68,7 @@ def schedule_adaptive_pool(outs):
     scheduled_ops = []
 
     def traverse(OP):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(OP.tag):
             if OP not in s.outputs:
@@ -131,7 +131,7 @@ def schedule_pool(outs, layout):
     scheduled_ops = []
 
     def traverse(OP):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(OP.tag):
             if OP not in s.outputs:

topi/python/topi/cuda/reduction.py

@@ -109,7 +109,7 @@ def schedule_reduce(outs):
     scheduled_ops = []
 
     def traverse_before_reduce(operator):
-        """Internal travserse function"""
+        """Internal traverse function"""
         if isinstance(operator, tvm.tensor.PlaceholderOp):
             return
         if tag.is_injective(operator.tag):
@@ -123,7 +123,7 @@ def schedule_reduce(outs):
         scheduled_ops.append(operator)
 
     def traverse_after_reduce(operator):
-        """Internal travserse function"""
+        """Internal traverse function"""
         if tag.is_broadcast(operator.tag):
             if operator not in scheduled_ops:
                 schedule_injective_from_existing(sch, operator.output(0))

topi/python/topi/hls/nn.py

@@ -28,7 +28,7 @@ def _schedule_conv2d(outs):
     tvm.schedule.AutoInlineInjective(s)
 
     def traverse(OP):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_injective(OP.tag):
             if OP not in s.outputs:
@@ -214,7 +214,7 @@ def schedule_reduce(outs):
     tvm.schedule.AutoInlineInjective(s)
 
     def traverse(OP):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(OP.tag):
             if OP not in s.outputs:
@@ -306,7 +306,7 @@ def schedule_dense(outs):
     tvm.schedule.AutoInlineInjective(s)
 
     def traverse(OP):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(OP.tag):
             if OP not in s.outputs:
@@ -350,7 +350,7 @@ def schedule_pool(outs, layout):
     tvm.schedule.AutoInlineInjective(s)
 
     def traverse(OP):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(OP.tag):
             if OP not in s.outputs:
@@ -394,7 +394,7 @@ def schedule_adaptive_pool(outs):
     tvm.schedule.AutoInlineInjective(s)
 
     def traverse(OP):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(OP.tag):
             if OP not in s.outputs:

topi/python/topi/intel_graphics/depthwise_conv2d.py

@@ -193,7 +193,7 @@ def schedule_depthwise_conv2d_nhwc(outs):
     scheduled_ops = []
 
     def traverse(OP):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(OP.tag):
             if OP not in s.outputs:

topi/python/topi/opengl/conv2d_nchw.py

@@ -49,7 +49,7 @@ def schedule_conv2d_nchw(outs):
         s[data].opengl()
 
     def traverse(OP):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(OP.tag):
             if OP not in s.outputs:

topi/python/topi/opengl/dense.py

@@ -49,7 +49,7 @@ def schedule_dense(outs):
         s[Out].opengl()
 
     def traverse(OP):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(OP.tag):
             if OP not in s.outputs:

topi/python/topi/opengl/pooling.py

@@ -48,7 +48,7 @@ def schedule_adaptive_pool(outs):
         s[Out].opengl()
 
     def traverse(OP):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(OP.tag):
             if OP not in s.outputs:
@@ -102,7 +102,7 @@ def schedule_pool(outs, layout):
         s[Out].opengl()
 
     def traverse(OP):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(OP.tag):
             if OP not in s.outputs:

topi/python/topi/x86/binary_dense.py

@@ -52,7 +52,7 @@ def schedule_binary_dense(outs):
         s[Out].vectorize(xi)
 
     def traverse(OP):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(OP.tag):
             if OP not in s.outputs:

topi/python/topi/x86/bitserial_dense.py

@@ -69,7 +69,7 @@ def schedule_bitserial_dense(cfg, outs):
         return s
 
     def traverse(op):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(op.tag) or 'elemwise' in op.tag:
             if op not in s.outputs:

topi/python/topi/x86/pooling.py

@@ -88,7 +88,7 @@ def schedule_pool(outs, layout):
         _parallel_sch(s[Pool], outs[0].shape, do_vectorize)
 
     def traverse(OP):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(OP.tag):
             if OP not in s.outputs:
@@ -137,7 +137,7 @@ def schedule_adaptive_pool(outs):
     scheduled_ops = []
 
     def traverse(OP):
-        """Internal travserse function"""
+        """Internal traverse function"""
         # inline all one-to-one-mapping operators except the last stage (output)
         if tag.is_broadcast(OP.tag):
             if OP not in s.outputs:

topi/python/topi/x86/reduction.py

@@ -78,7 +78,7 @@ def schedule_reduce(outs):
     scheduled_ops = []
 
     def traverse_before_reduce(operator):
-        """Internal travserse function"""
+        """Internal traverse function"""
         if isinstance(operator, tvm.tensor.PlaceholderOp):
             return
         if tag.is_injective(operator.tag):
@@ -92,7 +92,7 @@ def schedule_reduce(outs):
         scheduled_ops.append(operator)
 
     def traverse_after_reduce(operator):
-        """Internal travserse function"""
+        """Internal traverse function"""
         if tag.is_broadcast(operator.tag):
             if operator not in scheduled_ops:
                 generic.schedule_injective_from_existing(sch, operator)