mirror of
https://github.com/zebrajr/pytorch.git
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3a8e39b215
Summary: Printing for complex numbers requires loading and storing between `Py_complex` and `std::complex`. This patch aims to support this for the plugin. Differential Revision: D9771808 Pulled By: ezyang fbshipit-source-id: 024865f1945d63ddb5efc775a35438c8ea06408e
46 lines
2.1 KiB
C++
46 lines
2.1 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 "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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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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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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