FM / utils

/usr/local/lib64/python3.6/site-packages/torch/include/torch/csrc/utils/

/usr/local/lib64/python3.6/site-packages/torch/include/torch/csrc/utils

Name	Size	Mode	Actions
auto_gil.h	1034	0644	edit dl rm
byte_order.h	2484	0644	edit dl rm
crash_handler.h	1146	0644	edit dl rm
cuda_enabled.h	154	0644	edit dl rm
cuda_lazy_init.h	974	0644	edit dl rm
disable_torch_function.h	863	0644	edit dl rm
disallow_copy.h	103	0644	edit dl rm
init.h	324	0644	edit dl rm
invalid_arguments.h	302	0644	edit dl rm
memory.h	1173	0644	edit dl rm
numpy_stub.h	399	0644	edit dl rm
object_ptr.h	1329	0644	edit dl rm
out_types.h	294	0644	edit dl rm
pybind.h	7966	0644	edit dl rm
pycfunction_helpers.h	209	0644	edit dl rm
python_arg_parser.h	30753	0644	edit dl rm
python_compat.h	2904	0644	edit dl rm
python_dispatch.h	174	0644	edit dl rm
python_numbers.h	5064	0644	edit dl rm
python_scalars.h	2928	0644	edit dl rm
python_strings.h	4592	0644	edit dl rm
python_stub.h	56	0644	edit dl rm
python_tuples.h	684	0644	edit dl rm
six.h	1425	0644	edit dl rm
structseq.h	153	0644	edit dl rm
tensor_apply.h	431	0644	edit dl rm
tensor_dtypes.h	244	0644	edit dl rm
tensor_flatten.h	2780	0644	edit dl rm
tensor_layouts.h	107	0644	edit dl rm
tensor_list.h	196	0644	edit dl rm
tensor_memoryformats.h	113	0644	edit dl rm
tensor_new.h	1807	0644	edit dl rm
tensor_numpy.h	542	0644	edit dl rm
tensor_qschemes.h	186	0644	edit dl rm
tensor_types.h	491	0644	edit dl rm
throughput_benchmark-inl.h	5210	0644	edit dl rm
throughput_benchmark.h	6868	0644	edit dl rm
variadic.h	4394	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/torch/include/torch/csrc/utils/python_scalars.h (2928B)

#pragma once

#include <ATen/ATen.h>
#include <torch/csrc/python_headers.h>

#include <torch/csrc/utils/python_numbers.h>
#include <torch/csrc/Exceptions.h>

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<at::Half, double>(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<at::Half>*)data = (c10::complex<at::Half>)THPUtils_unpackComplexDouble(obj); break;
    case at::kComplexFloat: *(c10::complex<float>*)data = (c10::complex<float>)THPUtils_unpackComplexDouble(obj); break;
    case at::kComplexDouble: *(c10::complex<double>*)data = THPUtils_unpackComplexDouble(obj); break;
    case at::kBool: *(bool*)data = THPUtils_unpackNumberAsBool(obj); break;
    case at::kBFloat16:
      *(at::BFloat16*)data = at::convert<at::BFloat16, double>(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<double, at::Half>(*(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<c10::complex<at::Half>*>(data);
      return PyComplex_FromDoubles(data_->real(), data_->imag());
    }
    case at::kComplexFloat: {
      auto data_ = reinterpret_cast<c10::complex<float>*>(data);
      return PyComplex_FromDoubles(data_->real(), data_->imag());
    }
    case at::kComplexDouble: return PyComplex_FromCComplex(*reinterpret_cast<Py_complex *>((c10::complex<double>*)data));
    case at::kBool: return PyBool_FromLong(*(bool*)data);
    case at::kBFloat16: return PyFloat_FromDouble(at::convert<double, at::BFloat16>(*(at::BFloat16*)data));
    default: throw std::runtime_error("invalid type");
  }
}

}}  // namespace torch::utils

#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)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 torch::utils