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Fix typos 2 (#842)

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Co-authored-by: Haicheng Wu <57973641+hwu36@users.noreply.github.com>
This commit is contained in:
Alexander Pivovarov
2023-03-09 20:22:56 -08:00
committed by GitHub
parent c4f6b8c6bc
commit 7e370c9637
161 changed files with 310 additions and 309 deletions
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6
tools/library/scripts/pycutlass/src/cpp/include/arch.h
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@@ -51,9 +51,9 @@ void bind_opcode(py::module &m) {
.value("Simt", cutlass::OpcodeClass::kSimt,
R"pbdoc(Tag classifying math operators as thread-level operations)pbdoc")
.value("TensorOp", cutlass::OpcodeClass::kTensorOp,
R"pbdoc(Tag classifing operators as Tensor Core operations)pbdoc")
R"pbdoc(Tag classifying operators as Tensor Core operations)pbdoc")
.value("WmmaTensorOp", cutlass::OpcodeClass::kWmmaTensorOp,
R"pbdoc(Tag classifing operators as WMMA Tensor Core operations)pbdoc")
R"pbdoc(Tag classifying operators as WMMA Tensor Core operations)pbdoc")
.value("SparseTensorOp", cutlass::OpcodeClass::kSparseTensorOp,
R"pbdoc(Tag classifing operators as sparseTensor Core operations)pbdoc");
R"pbdoc(Tag classifying operators as sparseTensor Core operations)pbdoc");
}

2
tools/library/scripts/pycutlass/src/cpp/include/conv/conv_problem_size.h
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@@ -42,7 +42,7 @@ namespace py = pybind11;
void bind_conv_problem_size(py::module &m) {
//
// Conv2d Problem Size:
// include/cutlass/conv/conv2d_problem_sizd.h
// include/cutlass/conv/conv2d_problem_size.h
//
py::class_<cutlass::conv::Conv2dProblemSize>(m, "Conv2dProblemSize")
// constructors

2
tools/library/scripts/pycutlass/src/cpp/include/epilogue/epilogue_visitor_op/visitor_op_binary.h
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@@ -87,7 +87,7 @@ public:
using BinaryOp = BinaryOp_<ElementCompute, kElementsPerAccess>;
static_assert(kElementsPerAccess==VisitAccessTypeA::kElements, "kElementsPerAccess mismatches with Visitor A");
static_assert(kElementsPerAccess==VisitAccessTypeB::kElements, "kElementsPerAccess misnatches with Visitor B");
static_assert(kElementsPerAccess==VisitAccessTypeB::kElements, "kElementsPerAccess mismatches with Visitor B");
/// SMEM buffer class required in the epilogue visitor
struct SharedStorage {

4
tools/library/scripts/pycutlass/src/cpp/include/epilogue/epilogue_visitor_op/visitor_op_column_reduction.h
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@@ -55,7 +55,7 @@ template <
typename ElementReduction_, ///< Data type of the output reduction in device memory
typename ElementReductionAccumulator_ , ///< Data type to accumulate reduction in smem and register
typename OutputTileIterator_, ///< Tile Iterator type
typename Visitor_ ///< preceeding visitor op
typename Visitor_ ///< preceding visitor op
>
class VisitorOpColumnReduction {
public:
@@ -83,7 +83,7 @@ public:
/// Fragment type of accumulator
using AccumulatorAccessType = Array<ElementAccumulator, kElementsPerAccess>;
/// Fragment type of redcution
/// Fragment type of reduction
using ReductionAccumulatorAccessType = Array<ElementReductionAccumulator, kElementsPerAccess>;
/// Thread map used by output tile iterators

2
tools/library/scripts/pycutlass/src/cpp/include/epilogue/epilogue_visitor_op/visitor_op_linear_combination.h
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@@ -86,7 +86,7 @@ public:
using CombinationOp = cutlass::plus<VisitAccessType>;
static_assert(kElementsPerAccess==VisitAccessTypeA::kElements, "kElementsPerAccess mismatches with Visitor A");
static_assert(kElementsPerAccess==VisitAccessTypeB::kElements, "kElementsPerAccess misnatches with Visitor B");
static_assert(kElementsPerAccess==VisitAccessTypeB::kElements, "kElementsPerAccess mismatches with Visitor B");
/// SMEM buffer class required in the epilogue visitor
struct SharedStorage {

4
tools/library/scripts/pycutlass/src/cpp/include/epilogue/epilogue_visitor_op/visitor_op_row_reduction.h
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@@ -56,7 +56,7 @@ template <
typename ElementReduction_, ///< Data type of the output reduction in device memory
typename ElementReductionAccumulator_ , ///< Data type to accumulate reduction in smem and register
typename OutputTileIterator_, ///< Tile Iterator type
typename Visitor_ ///< preceeding visitor op
typename Visitor_ ///< preceding visitor op
>
class VisitorOpRowReduction {
public:
@@ -82,7 +82,7 @@ public:
/// Fragment type of accumulator
using AccumulatorAccessType = Array<ElementAccumulator, kElementsPerAccess>;
/// Fragment type of redcution
/// Fragment type of reduction
using ReductionAccumulatorAccessType = Array<ElementReductionAccumulator, kElementsPerAccess>;
/// Thread map used by output tile iterators

2
tools/library/scripts/pycutlass/src/cpp/include/gemm/gemm.h
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@@ -52,7 +52,7 @@ void bind_gemm(py::module &m) {
.value("Array", cutlass::gemm::GemmUniversalMode::kArray)
.value("Invalid", cutlass::gemm::GemmUniversalMode::kInvalid);
/// GemmCoord is a structure that specifies a location within the coordiate space of a GEMM problem
/// GemmCoord is a structure that specifies a location within the coordinate space of a GEMM problem
py::class_<cutlass::gemm::GemmCoord>(m, "GemmCoord")
.def(py::init<int, int, int>())
.def("m", py::overload_cast<>(&cutlass::gemm::GemmCoord::m))

6
tools/library/scripts/pycutlass/src/cpp/include/swizzling.h
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@@ -88,7 +88,7 @@ void bind_identity_swizzle(py::module & m, std::string name) {
R"pbdoc(Computes CUDA grid dimensions given a size in units of logical tiles)pbdoc")
.def("tag", [](const T & swizzle){
return demangle(typeid(T).name());
}, R"pbdoc(Returns the c++ name of the swizzling for code emittion)pbdoc");
}, R"pbdoc(Returns the c++ name of the swizzling for code emission)pbdoc");
}
template<typename T>
@@ -109,7 +109,7 @@ void bind_swizzle(py::module & m, std::string name, std::string doc) {
R"pbdoc(Computes CUDA grid dimensions given a size in units of logical tiles)pbdoc")
.def("tag", [](const T & swizzle){
return demangle(typeid(T).name());
}, R"pbdoc(Returns the c++ name of the swizzling for code emittion)pbdoc");
}, R"pbdoc(Returns the c++ name of the swizzling for code emission)pbdoc");
}
template<typename T>
@@ -132,7 +132,7 @@ void bind_dgrad_swizzle(py::module & m, std::string name) {
R"pbdoc(Computes CUDA grid dimensions given a size in units of logical tiles)pbdoc")
.def("tag", [](const T & swizzle){
return demangle(typeid(T).name());
}, R"pbdoc(Returns the c++ name of the swizzling for code emittion)pbdoc");
}, R"pbdoc(Returns the c++ name of the swizzling for code emission)pbdoc");
}
void bind_threadblock_swizzle(py::module &m) {

2
tools/library/scripts/pycutlass/src/cpp/include/tensor_ref_view.h
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@@ -20,7 +20,7 @@
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSE<cutlass::TensorRef<QUENTIAL
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,