FM / native

/usr/local/lib64/python3.6/site-packages/torch/include/ATen/native/

/usr/local/lib64/python3.6/site-packages/torch/include/ATen/native

Name	Size	Mode	Actions
cpu/	-	0755	rm
cuda/	-	0755	rm
quantized/	-	0755	rm
Activation.h	3069	0644	edit dl rm
AdaptivePooling.h	1165	0644	edit dl rm
BatchLinearAlgebra.h	8246	0644	edit dl rm
batch_norm.h	1285	0644	edit dl rm
BinaryOps.h	4916	0644	edit dl rm
BucketizationUtils.h	4248	0644	edit dl rm
ComplexHelper.h	3797	0644	edit dl rm
CompositeRandomAccessor.h	888	0644	edit dl rm
CompositeRandomAccessorCommon.h	6713	0644	edit dl rm
ConvUtils.h	5350	0644	edit dl rm
Copy.h	356	0644	edit dl rm
CPUBlas.h	4199	0644	edit dl rm
CPUFallback.h	2404	0644	edit dl rm
Cross.h	262	0644	edit dl rm
DilatedConvolutionUtils.h	6416	0644	edit dl rm
DispatchStub.h	7672	0644	edit dl rm
Distance.h	732	0644	edit dl rm
Distributions.h	21654	0644	edit dl rm
DistributionTemplates.h	18623	0644	edit dl rm
EmbeddingBag.h	1320	0644	edit dl rm
Fill.h	384	0644	edit dl rm
ForeachUtils.h	5962	0644	edit dl rm
FunctionOfAMatrixUtils.h	436	0644	edit dl rm
GridSampler.h	10525	0644	edit dl rm
group_norm.h	896	0644	edit dl rm
Histogram.h	492	0644	edit dl rm
im2col.h	2838	0644	edit dl rm
im2col_shape_check.h	6181	0644	edit dl rm
IndexingUtils.h	5373	0644	edit dl rm
layer_norm.h	2892	0644	edit dl rm
Lerp.h	553	0644	edit dl rm
LinearAlgebra.h	603	0644	edit dl rm
LinearAlgebraUtils.h	25236	0644	edit dl rm
LossMulti.h	2197	0644	edit dl rm
Math.h	91356	0644	edit dl rm
MathBitFallThroughLists.h	4086	0644	edit dl rm
MathBitsFallback.h	7326	0644	edit dl rm
MaxPooling.h	1234	0644	edit dl rm
Normalization.h	302	0644	edit dl rm
PointwiseOps.h	749	0644	edit dl rm
Pool.h	10922	0644	edit dl rm
Pow.h	1694	0644	edit dl rm
ReduceAllOps.h	378	0644	edit dl rm
ReduceOps.h	1745	0644	edit dl rm
ReduceOpsUtils.h	12245	0644	edit dl rm
Repeat.h	1286	0644	edit dl rm
Resize.h	6501	0644	edit dl rm
ResizeCommon.h	1321	0644	edit dl rm
RNN.h	2467	0644	edit dl rm
ScatterGatherChecks.h	3641	0644	edit dl rm
SegmentReduce.h	685	0644	edit dl rm
SharedReduceOps.h	15785	0644	edit dl rm
SobolEngineOpsUtils.h	1723	0644	edit dl rm
Sorting.h	536	0644	edit dl rm
SortingUtils.h	5722	0644	edit dl rm
SpectralOpsUtils.h	3146	0644	edit dl rm
StridedRandomAccessor.h	6847	0644	edit dl rm
TensorAdvancedIndexing.h	3072	0644	edit dl rm
TensorCompare.h	1333	0644	edit dl rm
TensorDimApply.h	1832	0644	edit dl rm
TensorFactories.h	3382	0644	edit dl rm
TensorIterator.h	46	0644	edit dl rm
TensorIteratorDynamicCasting.h	2025	0644	edit dl rm
TensorShape.h	1049	0644	edit dl rm
TensorTransformations.h	938	0644	edit dl rm
TriangularOpsUtils.h	2000	0644	edit dl rm
TypeProperties.h	496	0644	edit dl rm
UnaryOps.h	4464	0644	edit dl rm
Unfold2d.h	551	0644	edit dl rm
Unfold3d.h	852	0644	edit dl rm
UnfoldBackward.h	5398	0644	edit dl rm
UpSample.h	13599	0644	edit dl rm
vol2col.h	3642	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/torch/include/ATen/native/ComplexHelper.h (3797B)

#pragma once

#include <ATen/ATen.h>
#include <c10/util/irange.h>

// WARNING: this header contains non-inline functions and should be only
// included from ONE cpp file

namespace at { namespace native {

// View tensor with new dtype, storage offset, sizes and strides
inline Tensor view_tensor(
    const Tensor &tensor, ScalarType dtype,
    int64_t offset, IntArrayRef sizes, IntArrayRef strides) {
  Storage storage = tensor.storage();
  auto key_set = tensor.key_set().remove(DispatchKey::Conjugate);
  auto new_tensor = detail::make_tensor<TensorImpl>(
      c10::TensorImpl::VIEW, std::move(storage), key_set, scalarTypeToTypeMeta(dtype));
  auto * impl = new_tensor.unsafeGetTensorImpl();
  impl->set_storage_offset(offset);
  impl->set_sizes_and_strides(sizes, strides);
  return new_tensor;
}

inline DimVector computeStrideForViewAsReal(IntArrayRef oldstride) {
  DimVector res(oldstride.size() + 1);
  for(size_t i = 0; i < oldstride.size(); i++) {
    res[i] = oldstride[i] * 2;
  }
  res.back() = 1;
  return res;
}

Tensor _view_as_real_physical(const Tensor& self) {
  TORCH_CHECK(self.is_complex(), "view_as_real is only supported for complex tensors");
  auto old_sizes = self.sizes();
  DimVector new_sizes(old_sizes.size() + 1);
  std::copy(old_sizes.begin(), old_sizes.end(), new_sizes.begin());
  // last dimension will always have two elements containing the real and imag vals
  new_sizes.back() = 2;
  auto new_strides = computeStrideForViewAsReal(self.strides());
  auto new_storage_offset = 2 * self.storage_offset();
  const auto float_type = c10::toValueType(self.scalar_type());
  auto real_tensor = view_tensor(self, float_type, new_storage_offset, new_sizes, new_strides);
  return real_tensor;
}

// expects as input a complex tensor and returns back a tensor
// with corresponding real dtype containing the complex values
// in the last two dimensions
Tensor view_as_real(const Tensor& self) {
  TORCH_CHECK(!self.is_conj(), "view_as_real doesn't work on unresolved conjugated tensors.  To resolve the conjugate tensor so you can view it as real, use self.resolve_conj(); however, be warned that the resulting tensor will NOT alias the original.");
  return _view_as_real_physical(self);
}

inline DimVector computeStrideForViewAsComplex(IntArrayRef oldstride) {
  const int64_t dim = oldstride.size();
  TORCH_CHECK(oldstride[dim-1] == 1, "Tensor must have a last dimension with stride 1");

DimVector res(dim - 1);
  for (const auto i : c10::irange(res.size())) {
    TORCH_CHECK(oldstride[i] % 2 == 0, "Tensor must have a stride divisible by 2 for all but last dimension");
    res[i] = oldstride[i] / 2;
  }
  return res;
}

// expects as input a float or double tensor with last dimension of size 2
// and returns back a tensor with corresponding complex dtype
Tensor view_as_complex(const Tensor& self) {
  TORCH_CHECK(
    self.scalar_type() == kFloat || self.scalar_type() == kDouble || self.scalar_type() == kHalf,
    "view_as_complex is only supported for half, float and double tensors, but got a tensor of scalar type: ", self.scalar_type());

auto old_sizes = self.sizes();
  TORCH_CHECK(old_sizes.size() != 0, "Input tensor must have one or more dimensions");
  TORCH_CHECK(old_sizes[old_sizes.size()-1] == 2, "Tensor must have a last dimension of size 2");
  DimVector new_sizes(old_sizes.begin(), old_sizes.end() - 1);

const auto new_strides = computeStrideForViewAsComplex(self.strides());
  const auto complex_type = c10::toComplexType(self.scalar_type());

TORCH_CHECK(self.storage_offset() % 2 == 0, "Tensor must have a storage_offset divisible by 2");
  const auto new_storage_offset = self.storage_offset() / 2;

return view_tensor(self, complex_type, new_storage_offset, new_sizes, new_strides);
}

}} // namespace at::native

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