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f231be25c6
This PR adds unused parameter name comments in C++ declarations to improve code readability. Pull Request resolved: https://github.com/pytorch/pytorch/pull/164912 Approved by: https://github.com/Skylion007
52 lines
1.6 KiB
C++
52 lines
1.6 KiB
C++
#include <c10/core/UndefinedTensorImpl.h>
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#include <c10/util/Exception.h>
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namespace c10 {
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// should this use the globalContext? Can it get a context passed in somehow?
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UndefinedTensorImpl::UndefinedTensorImpl()
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: TensorImpl(DispatchKey::Undefined, caffe2::TypeMeta(), std::nullopt) {
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set_storage_access_should_throw();
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// TODO: accessing the sizes on an undefined tensor is not meaningful
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// and should error too, but empirically it does not!
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set_custom_sizes_strides(SizesStridesPolicy::CustomStrides);
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}
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c10::SymBool UndefinedTensorImpl::sym_is_contiguous_custom(
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MemoryFormat format) const {
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return is_contiguous_default(format);
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}
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IntArrayRef UndefinedTensorImpl::strides_custom() const {
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TORCH_CHECK(false, "strides() called on an undefined Tensor");
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}
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SymIntArrayRef UndefinedTensorImpl::sym_strides_custom() const {
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TORCH_CHECK(false, "sym_strides() called on an undefined Tensor");
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}
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#ifdef DEBUG
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bool UndefinedTensorImpl::has_storage() const {
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TORCH_INTERNAL_ASSERT_DEBUG_ONLY(
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!storage_, "UndefinedTensorImpl assumes that storage_ is never set");
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return false;
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}
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#endif
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void UndefinedTensorImpl::set_storage_offset(int64_t /*storage_offset*/) {
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TORCH_CHECK(false, "set_storage_offset() called on an undefined Tensor");
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}
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const char* UndefinedTensorImpl::tensorimpl_type_name() const {
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return "UndefinedTensorImpl";
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}
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#ifdef _WIN32
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UndefinedTensorImpl& UndefinedTensorImpl::getInstance() {
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static UndefinedTensorImpl instance;
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return instance;
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}
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#else
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UndefinedTensorImpl UndefinedTensorImpl::_singleton;
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#endif
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} // namespace c10
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