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https://github.com/zebrajr/pytorch.git
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1f09f7ea44
Summary: Following up on this: https://github.com/pytorch/pytorch/pull/35851 cross dtype storage copy is not being used internally, so I have not included cross dtype copy for complex. Pull Request resolved: https://github.com/pytorch/pytorch/pull/35771 Differential Revision: D21319650 Pulled By: anjali411 fbshipit-source-id: 07c72996ee598eba0cf401ad61534494d6f5b5b3
37 lines
961 B
C++
37 lines
961 B
C++
#ifndef TH_GENERIC_FILE
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#define TH_GENERIC_FILE "torch/csrc/generic/utils.h"
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#else
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#if defined(TH_REAL_IS_HALF)
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#define GENERATE_SPARSE 0
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#else
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#define GENERATE_SPARSE 1
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#endif
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struct THPStorage;
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struct THSPTensor;
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typedef class THPPointer<THWStorage> THWStoragePtr;
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typedef class THPPointer<THWTensor> THWTensorPtr;
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typedef class THPPointer<THPStorage> THPStoragePtr;
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#if (!defined(THC_GENERIC_FILE)) && \
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(!defined(THQUANTIZED))
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template<>
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struct THPUtils_typeTraits<scalar_t> {
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#if defined(TH_REAL_IS_FLOAT) || defined(TH_REAL_IS_DOUBLE) || \
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defined(THC_REAL_IS_FLOAT) || defined(THC_REAL_IS_DOUBLE) || \
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defined(THC_REAL_IS_HALF)
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static constexpr const char *python_type_str = "float";
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#elif defined(TH_REAL_IS_COMPLEX) || defined(THC_REAL_IS_COMPLEX)
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static constexpr const char *python_type_str = "complex";
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#else
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static constexpr const char *python_type_str = "int";
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#endif
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};
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#endif
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#undef GENERATE_SPARSE
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#endif
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