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https://github.com/zebrajr/pytorch.git
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10c60b601a
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/21860 ghimport-source-id: 5290755b63033cdfdeb911a4ecf4aa282b3db02d Test Plan: Imported from OSS Differential Revision: D15856091 Pulled By: izdeby fbshipit-source-id: 54e7e17be1b5c5a2e80a41feaeaeba75dbb8108f
52 lines
2.5 KiB
C++
52 lines
2.5 KiB
C++
#pragma once
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#include <ATen/ATen.h>
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#include <torch/csrc/python_headers.h>
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#include <torch/csrc/utils/python_numbers.h>
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#include <torch/csrc/Exceptions.h>
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namespace torch { namespace utils {
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inline void store_scalar(void* data, at::ScalarType scalarType, PyObject* obj) {
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switch (scalarType) {
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case at::kByte: *(uint8_t*)data = (uint8_t)THPUtils_unpackLong(obj); break;
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case at::kChar: *(char*)data = (char)THPUtils_unpackLong(obj); break;
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case at::kShort: *(int16_t*)data = (int16_t)THPUtils_unpackLong(obj); break;
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case at::kInt: *(int32_t*)data = (int32_t)THPUtils_unpackLong(obj); break;
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case at::kLong: *(int64_t*)data = THPUtils_unpackLong(obj); break;
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case at::kHalf:
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*(at::Half*)data = at::convert<at::Half, double>(THPUtils_unpackDouble(obj));
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break;
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case at::kFloat: *(float*)data = (float)THPUtils_unpackDouble(obj); break;
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case at::kDouble: *(double*)data = THPUtils_unpackDouble(obj); break;
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case at::kComplexFloat: *(std::complex<float>*)data = (std::complex<float>)THPUtils_unpackComplexDouble(obj); break;
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case at::kComplexDouble: *(std::complex<double>*)data = THPUtils_unpackComplexDouble(obj); break;
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case at::kBool: *(bool*)data = (bool)THPUtils_unpackLong(obj); break;
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case at::kBFloat16:
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*(at::BFloat16*)data = at::convert<at::BFloat16, double>(THPUtils_unpackDouble(obj));
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break;
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default: throw std::runtime_error("invalid type");
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}
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}
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inline PyObject* load_scalar(void* data, at::ScalarType scalarType) {
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switch (scalarType) {
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case at::kByte: return THPUtils_packInt64(*(uint8_t*)data);
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case at::kChar: return THPUtils_packInt64(*(char*)data);
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case at::kShort: return THPUtils_packInt64(*(int16_t*)data);
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case at::kInt: return THPUtils_packInt64(*(int32_t*)data);
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case at::kLong: return THPUtils_packInt64(*(int64_t*)data);
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case at::kHalf: return PyFloat_FromDouble(at::convert<double, at::Half>(*(at::Half*)data));
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case at::kFloat: return PyFloat_FromDouble(*(float*)data);
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case at::kDouble: return PyFloat_FromDouble(*(double*)data);
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case at::kComplexFloat: return PyComplex_FromCComplex(*reinterpret_cast<Py_complex *>((std::complex<float>*)data));
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case at::kComplexDouble: return PyComplex_FromCComplex(*reinterpret_cast<Py_complex *>((std::complex<double>*)data));
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case at::kBool: return PyBool_FromLong(*(bool*)data);
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case at::kBFloat16: return PyFloat_FromDouble(at::convert<double, at::BFloat16>(*(at::BFloat16*)data));
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default: throw std::runtime_error("invalid type");
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}
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}
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}} // namespace torch::utils
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