#pragma once #include #include #include #include namespace torch { namespace utils { inline void store_scalar(void* data, at::ScalarType scalarType, PyObject* obj) { switch (scalarType) { case at::kByte: *(uint8_t*)data = (uint8_t)THPUtils_unpackLong(obj); break; case at::kChar: *(int8_t*)data = (int8_t)THPUtils_unpackLong(obj); break; case at::kShort: *(int16_t*)data = (int16_t)THPUtils_unpackLong(obj); break; case at::kInt: *(int32_t*)data = (int32_t)THPUtils_unpackLong(obj); break; case at::kLong: *(int64_t*)data = THPUtils_unpackLong(obj); break; case at::kHalf: *(at::Half*)data = at::convert(THPUtils_unpackDouble(obj)); break; case at::kFloat: *(float*)data = (float)THPUtils_unpackDouble(obj); break; case at::kDouble: *(double*)data = THPUtils_unpackDouble(obj); break; case at::kComplexHalf: *(c10::complex*)data = (c10::complex)static_cast>( THPUtils_unpackComplexDouble(obj)); break; case at::kComplexFloat: *(c10::complex*)data = (c10::complex)THPUtils_unpackComplexDouble(obj); break; case at::kComplexDouble: *(c10::complex*)data = THPUtils_unpackComplexDouble(obj); break; case at::kBool: *(bool*)data = THPUtils_unpackNumberAsBool(obj); break; case at::kBFloat16: *(at::BFloat16*)data = at::convert(THPUtils_unpackDouble(obj)); break; default: throw std::runtime_error("invalid type"); } } inline PyObject* load_scalar(void* data, at::ScalarType scalarType) { switch (scalarType) { case at::kByte: return THPUtils_packInt64(*(uint8_t*)data); case at::kChar: return THPUtils_packInt64(*(int8_t*)data); case at::kShort: return THPUtils_packInt64(*(int16_t*)data); case at::kInt: return THPUtils_packInt64(*(int32_t*)data); case at::kLong: return THPUtils_packInt64(*(int64_t*)data); case at::kHalf: return PyFloat_FromDouble( at::convert(*(at::Half*)data)); case at::kFloat: return PyFloat_FromDouble(*(float*)data); case at::kDouble: return PyFloat_FromDouble(*(double*)data); case at::kComplexHalf: { auto data_ = reinterpret_cast*>(data); return PyComplex_FromDoubles(data_->real(), data_->imag()); } case at::kComplexFloat: { auto data_ = reinterpret_cast*>(data); return PyComplex_FromDoubles(data_->real(), data_->imag()); } case at::kComplexDouble: return PyComplex_FromCComplex( *reinterpret_cast((c10::complex*)data)); case at::kBool: return PyBool_FromLong(*(bool*)data); case at::kBFloat16: return PyFloat_FromDouble( at::convert(*(at::BFloat16*)data)); default: throw std::runtime_error("invalid type"); } } } // namespace utils } // namespace torch