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LegacyTHFunctionsCPU.cpp
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#include <ATen/LegacyTHFunctionsCPU.h>
// @generated by aten/src/ATen/gen.py from LegacyTHFunctions.cpp
#include <ATen/ATen.h>
#include <ATen/Utils.h>
#include <ATen/NamedTensorUtils.h>
#include <ATen/CPUGeneratorImpl.h>
#include <ATen/ExpandUtils.h>
#include <TH/TH.h>
#include <TH/THTensor.hpp>
namespace at {
namespace native {
namespace legacy {
namespace cpu {
namespace {
ScalarType infer_scalar_type(const Tensor & t) {
return t.scalar_type();
}
ScalarType infer_scalar_type(const TensorList & tl) {
TORCH_CHECK(tl.size() > 0, "expected a non-empty list of Tensors");
return tl[0].scalar_type();
}
TensorOptions options(ScalarType s) {
return TensorOptions().dtype(s)
.device(DeviceType::CPU)
.layout(kStrided);
}
Allocator* allocator() {
return getCPUAllocator();
}
}
Tensor & _th_masked_scatter_(Tensor & self, const Tensor & mask, const Tensor & source) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
switch (dispatch_scalar_type) {
case ScalarType::Bool: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_", false, DeviceType::CPU, ScalarType::Byte);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
THBoolTensor_maskedCopy(self_, mask_, source_);
break;
}
case ScalarType::Byte: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_", false, DeviceType::CPU, ScalarType::Byte);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
THByteTensor_maskedCopy(self_, mask_, source_);
break;
}
case ScalarType::Char: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_", false, DeviceType::CPU, ScalarType::Byte);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
THCharTensor_maskedCopy(self_, mask_, source_);
break;
}
case ScalarType::Double: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_", false, DeviceType::CPU, ScalarType::Byte);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
THDoubleTensor_maskedCopy(self_, mask_, source_);
break;
}
case ScalarType::Float: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_", false, DeviceType::CPU, ScalarType::Byte);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
THFloatTensor_maskedCopy(self_, mask_, source_);
break;
}
case ScalarType::Int: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_", false, DeviceType::CPU, ScalarType::Byte);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
THIntTensor_maskedCopy(self_, mask_, source_);
break;
}
case ScalarType::Long: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_", false, DeviceType::CPU, ScalarType::Byte);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
THLongTensor_maskedCopy(self_, mask_, source_);
break;
}
case ScalarType::Short: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_", false, DeviceType::CPU, ScalarType::Byte);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
THShortTensor_maskedCopy(self_, mask_, source_);
break;
}
case ScalarType::BFloat16: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_", false, DeviceType::CPU, ScalarType::Byte);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_", false, DeviceType::CPU, dispatch_scalar_type);
THBFloat16Tensor_maskedCopy(self_, mask_, source_);
break;
}
default:
AT_ERROR("_th_masked_scatter_ not supported on CPUType for ", dispatch_scalar_type);
}
return self;
}
Tensor & _th_masked_scatter_bool_(Tensor & self, const Tensor & mask, const Tensor & source) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
switch (dispatch_scalar_type) {
case ScalarType::Bool: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_bool_", false, DeviceType::CPU, ScalarType::Bool);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
THBoolTensor_maskedCopyBool(self_, mask_, source_);
break;
}
case ScalarType::Byte: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_bool_", false, DeviceType::CPU, ScalarType::Bool);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
THByteTensor_maskedCopyBool(self_, mask_, source_);
break;
}
case ScalarType::Char: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_bool_", false, DeviceType::CPU, ScalarType::Bool);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
THCharTensor_maskedCopyBool(self_, mask_, source_);
break;
}
case ScalarType::Double: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_bool_", false, DeviceType::CPU, ScalarType::Bool);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
THDoubleTensor_maskedCopyBool(self_, mask_, source_);
break;
}
case ScalarType::Float: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_bool_", false, DeviceType::CPU, ScalarType::Bool);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
THFloatTensor_maskedCopyBool(self_, mask_, source_);
break;
}
case ScalarType::Int: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_bool_", false, DeviceType::CPU, ScalarType::Bool);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
THIntTensor_maskedCopyBool(self_, mask_, source_);
break;
}
case ScalarType::Long: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_bool_", false, DeviceType::CPU, ScalarType::Bool);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
THLongTensor_maskedCopyBool(self_, mask_, source_);
break;
}
case ScalarType::Short: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_bool_", false, DeviceType::CPU, ScalarType::Bool);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
THShortTensor_maskedCopyBool(self_, mask_, source_);
break;
}
case ScalarType::BFloat16: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
auto mask_ = checked_dense_tensor_unwrap(mask, "mask", 2, "_th_masked_scatter_bool_", false, DeviceType::CPU, ScalarType::Bool);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_masked_scatter_bool_", false, DeviceType::CPU, dispatch_scalar_type);
THBFloat16Tensor_maskedCopyBool(self_, mask_, source_);
break;
}
default:
AT_ERROR("_th_masked_scatter_bool_ not supported on CPUType for ", dispatch_scalar_type);
}
return self;
}
Tensor & _th_nonzero_out(Tensor & result, const Tensor & self) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
switch (dispatch_scalar_type) {
case ScalarType::Bool: {
auto result_ = checked_dense_tensor_unwrap(result, "result", 0, "_th_nonzero_out", false, DeviceType::CPU, ScalarType::Long);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero_out", false, DeviceType::CPU, dispatch_scalar_type);
THBoolTensor_nonzero(result_, self_);
break;
}
case ScalarType::Byte: {
auto result_ = checked_dense_tensor_unwrap(result, "result", 0, "_th_nonzero_out", false, DeviceType::CPU, ScalarType::Long);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero_out", false, DeviceType::CPU, dispatch_scalar_type);
THByteTensor_nonzero(result_, self_);
break;
}
case ScalarType::Char: {
auto result_ = checked_dense_tensor_unwrap(result, "result", 0, "_th_nonzero_out", false, DeviceType::CPU, ScalarType::Long);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero_out", false, DeviceType::CPU, dispatch_scalar_type);
THCharTensor_nonzero(result_, self_);
break;
}
case ScalarType::Double: {
auto result_ = checked_dense_tensor_unwrap(result, "result", 0, "_th_nonzero_out", false, DeviceType::CPU, ScalarType::Long);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero_out", false, DeviceType::CPU, dispatch_scalar_type);
THDoubleTensor_nonzero(result_, self_);
break;
}
case ScalarType::Float: {
auto result_ = checked_dense_tensor_unwrap(result, "result", 0, "_th_nonzero_out", false, DeviceType::CPU, ScalarType::Long);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero_out", false, DeviceType::CPU, dispatch_scalar_type);
THFloatTensor_nonzero(result_, self_);
break;
}
case ScalarType::Int: {
auto result_ = checked_dense_tensor_unwrap(result, "result", 0, "_th_nonzero_out", false, DeviceType::CPU, ScalarType::Long);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero_out", false, DeviceType::CPU, dispatch_scalar_type);
THIntTensor_nonzero(result_, self_);
break;
}
case ScalarType::Long: {
auto result_ = checked_dense_tensor_unwrap(result, "result", 0, "_th_nonzero_out", false, DeviceType::CPU, ScalarType::Long);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero_out", false, DeviceType::CPU, dispatch_scalar_type);
THLongTensor_nonzero(result_, self_);
break;
}
case ScalarType::Short: {
auto result_ = checked_dense_tensor_unwrap(result, "result", 0, "_th_nonzero_out", false, DeviceType::CPU, ScalarType::Long);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero_out", false, DeviceType::CPU, dispatch_scalar_type);
THShortTensor_nonzero(result_, self_);
break;
}
case ScalarType::Half: {
auto result_ = checked_dense_tensor_unwrap(result, "result", 0, "_th_nonzero_out", false, DeviceType::CPU, ScalarType::Long);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero_out", false, DeviceType::CPU, dispatch_scalar_type);
THHalfTensor_nonzero(result_, self_);
break;
}
case ScalarType::BFloat16: {
auto result_ = checked_dense_tensor_unwrap(result, "result", 0, "_th_nonzero_out", false, DeviceType::CPU, ScalarType::Long);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero_out", false, DeviceType::CPU, dispatch_scalar_type);
THBFloat16Tensor_nonzero(result_, self_);
break;
}
default:
AT_ERROR("_th_nonzero_out not supported on CPUType for ", dispatch_scalar_type);
}
return result;
}
Tensor _th_nonzero(const Tensor & self) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
auto result_ = c10::make_intrusive<TensorImpl, UndefinedTensorImpl>(c10::Storage(c10::Storage::use_byte_size_t(), 0, allocator(), true),DispatchKey::CPU, scalarTypeToTypeMeta(ScalarType::Long)).release();
auto result = Tensor(c10::intrusive_ptr<TensorImpl, UndefinedTensorImpl>::reclaim(result_));
switch (dispatch_scalar_type) {
case ScalarType::Bool: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero", false, DeviceType::CPU, dispatch_scalar_type);
THBoolTensor_nonzero(result_, self_);
break;
}
case ScalarType::Byte: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero", false, DeviceType::CPU, dispatch_scalar_type);
THByteTensor_nonzero(result_, self_);
break;
}
case ScalarType::Char: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero", false, DeviceType::CPU, dispatch_scalar_type);
THCharTensor_nonzero(result_, self_);
break;
}
case ScalarType::Double: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero", false, DeviceType::CPU, dispatch_scalar_type);
THDoubleTensor_nonzero(result_, self_);
break;
}
case ScalarType::Float: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero", false, DeviceType::CPU, dispatch_scalar_type);
THFloatTensor_nonzero(result_, self_);
break;
}
case ScalarType::Int: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero", false, DeviceType::CPU, dispatch_scalar_type);
THIntTensor_nonzero(result_, self_);
break;
}
case ScalarType::Long: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero", false, DeviceType::CPU, dispatch_scalar_type);
THLongTensor_nonzero(result_, self_);
break;
}
case ScalarType::Short: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero", false, DeviceType::CPU, dispatch_scalar_type);
THShortTensor_nonzero(result_, self_);
break;
}
case ScalarType::Half: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero", false, DeviceType::CPU, dispatch_scalar_type);
THHalfTensor_nonzero(result_, self_);
break;
}
case ScalarType::BFloat16: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_nonzero", false, DeviceType::CPU, dispatch_scalar_type);
THBFloat16Tensor_nonzero(result_, self_);
break;
}
default:
AT_ERROR("_th_nonzero not supported on CPUType for ", dispatch_scalar_type);
}
return result;
}
Tensor & _th_index_copy_(Tensor & self, int64_t dim, const Tensor & index, const Tensor & source) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
switch (dispatch_scalar_type) {
case ScalarType::Bool: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_index_copy_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 3, "_th_index_copy_", false, DeviceType::CPU, ScalarType::Long);
auto source_ = checked_dense_tensor_unwrap(source, "source", 4, "_th_index_copy_", false, DeviceType::CPU, dispatch_scalar_type);
THBoolTensor_indexCopy(self_, dim, index_, source_);
break;
}
case ScalarType::Byte: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_index_copy_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 3, "_th_index_copy_", false, DeviceType::CPU, ScalarType::Long);
auto source_ = checked_dense_tensor_unwrap(source, "source", 4, "_th_index_copy_", false, DeviceType::CPU, dispatch_scalar_type);
THByteTensor_indexCopy(self_, dim, index_, source_);
break;
}
case ScalarType::Char: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_index_copy_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 3, "_th_index_copy_", false, DeviceType::CPU, ScalarType::Long);
auto source_ = checked_dense_tensor_unwrap(source, "source", 4, "_th_index_copy_", false, DeviceType::CPU, dispatch_scalar_type);
THCharTensor_indexCopy(self_, dim, index_, source_);
break;
}
case ScalarType::Double: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_index_copy_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 3, "_th_index_copy_", false, DeviceType::CPU, ScalarType::Long);
auto source_ = checked_dense_tensor_unwrap(source, "source", 4, "_th_index_copy_", false, DeviceType::CPU, dispatch_scalar_type);
THDoubleTensor_indexCopy(self_, dim, index_, source_);
break;
}
case ScalarType::Float: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_index_copy_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 3, "_th_index_copy_", false, DeviceType::CPU, ScalarType::Long);
auto source_ = checked_dense_tensor_unwrap(source, "source", 4, "_th_index_copy_", false, DeviceType::CPU, dispatch_scalar_type);
THFloatTensor_indexCopy(self_, dim, index_, source_);
break;
}
case ScalarType::Int: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_index_copy_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 3, "_th_index_copy_", false, DeviceType::CPU, ScalarType::Long);
auto source_ = checked_dense_tensor_unwrap(source, "source", 4, "_th_index_copy_", false, DeviceType::CPU, dispatch_scalar_type);
THIntTensor_indexCopy(self_, dim, index_, source_);
break;
}
case ScalarType::Long: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_index_copy_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 3, "_th_index_copy_", false, DeviceType::CPU, ScalarType::Long);
auto source_ = checked_dense_tensor_unwrap(source, "source", 4, "_th_index_copy_", false, DeviceType::CPU, dispatch_scalar_type);
THLongTensor_indexCopy(self_, dim, index_, source_);
break;
}
case ScalarType::Short: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_index_copy_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 3, "_th_index_copy_", false, DeviceType::CPU, ScalarType::Long);
auto source_ = checked_dense_tensor_unwrap(source, "source", 4, "_th_index_copy_", false, DeviceType::CPU, dispatch_scalar_type);
THShortTensor_indexCopy(self_, dim, index_, source_);
break;
}
default:
AT_ERROR("_th_index_copy_ not supported on CPUType for ", dispatch_scalar_type);
}
return self;
}
Tensor & _th_put_(Tensor & self, const Tensor & index, const Tensor & source, bool accumulate) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
switch (dispatch_scalar_type) {
case ScalarType::Bool: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_put_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 2, "_th_put_", false, DeviceType::CPU, ScalarType::Long);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_put_", false, DeviceType::CPU, dispatch_scalar_type);
THBoolTensor_put(self_, index_, source_, accumulate);
break;
}
case ScalarType::Byte: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_put_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 2, "_th_put_", false, DeviceType::CPU, ScalarType::Long);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_put_", false, DeviceType::CPU, dispatch_scalar_type);
THByteTensor_put(self_, index_, source_, accumulate);
break;
}
case ScalarType::Char: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_put_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 2, "_th_put_", false, DeviceType::CPU, ScalarType::Long);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_put_", false, DeviceType::CPU, dispatch_scalar_type);
THCharTensor_put(self_, index_, source_, accumulate);
break;
}
case ScalarType::Double: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_put_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 2, "_th_put_", false, DeviceType::CPU, ScalarType::Long);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_put_", false, DeviceType::CPU, dispatch_scalar_type);
THDoubleTensor_put(self_, index_, source_, accumulate);
break;
}
case ScalarType::Float: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_put_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 2, "_th_put_", false, DeviceType::CPU, ScalarType::Long);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_put_", false, DeviceType::CPU, dispatch_scalar_type);
THFloatTensor_put(self_, index_, source_, accumulate);
break;
}
case ScalarType::Int: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_put_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 2, "_th_put_", false, DeviceType::CPU, ScalarType::Long);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_put_", false, DeviceType::CPU, dispatch_scalar_type);
THIntTensor_put(self_, index_, source_, accumulate);
break;
}
case ScalarType::Long: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_put_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 2, "_th_put_", false, DeviceType::CPU, ScalarType::Long);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_put_", false, DeviceType::CPU, dispatch_scalar_type);
THLongTensor_put(self_, index_, source_, accumulate);
break;
}
case ScalarType::Short: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_put_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 2, "_th_put_", false, DeviceType::CPU, ScalarType::Long);
auto source_ = checked_dense_tensor_unwrap(source, "source", 3, "_th_put_", false, DeviceType::CPU, dispatch_scalar_type);
THShortTensor_put(self_, index_, source_, accumulate);
break;
}
default:
AT_ERROR("_th_put_ not supported on CPUType for ", dispatch_scalar_type);
}
return self;
}
Tensor & _th_index_fill_(Tensor & self, int64_t dim, const Tensor & index, Scalar value) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
switch (dispatch_scalar_type) {
case ScalarType::Bool: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_index_fill_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 3, "_th_index_fill_", false, DeviceType::CPU, ScalarType::Long);
auto value_ = value.toBool();
THBoolTensor_indexFill(self_, dim, index_, value_);
break;
}
case ScalarType::Byte: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_index_fill_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 3, "_th_index_fill_", false, DeviceType::CPU, ScalarType::Long);
auto value_ = value.toByte();
THByteTensor_indexFill(self_, dim, index_, value_);
break;
}
case ScalarType::Char: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_index_fill_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 3, "_th_index_fill_", false, DeviceType::CPU, ScalarType::Long);
auto value_ = value.toChar();
THCharTensor_indexFill(self_, dim, index_, value_);
break;
}
case ScalarType::Double: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_index_fill_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 3, "_th_index_fill_", false, DeviceType::CPU, ScalarType::Long);
auto value_ = value.toDouble();
THDoubleTensor_indexFill(self_, dim, index_, value_);
break;
}
case ScalarType::Float: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_index_fill_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 3, "_th_index_fill_", false, DeviceType::CPU, ScalarType::Long);
auto value_ = value.toFloat();
THFloatTensor_indexFill(self_, dim, index_, value_);
break;
}
case ScalarType::Int: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_index_fill_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 3, "_th_index_fill_", false, DeviceType::CPU, ScalarType::Long);
auto value_ = value.toInt();
THIntTensor_indexFill(self_, dim, index_, value_);
break;
}
case ScalarType::Long: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_index_fill_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 3, "_th_index_fill_", false, DeviceType::CPU, ScalarType::Long);
auto value_ = value.toLong();
THLongTensor_indexFill(self_, dim, index_, value_);
break;
}
case ScalarType::Short: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_index_fill_", false, DeviceType::CPU, dispatch_scalar_type);
auto index_ = checked_dense_tensor_unwrap(index, "index", 3, "_th_index_fill_", false, DeviceType::CPU, ScalarType::Long);
auto value_ = value.toShort();
THShortTensor_indexFill(self_, dim, index_, value_);
break;
}
default:
AT_ERROR("_th_index_fill_ not supported on CPUType for ", dispatch_scalar_type);
}
return self;
}
std::tuple<Tensor &,Tensor &> _th_mode_out(Tensor & values, Tensor & indices, const Tensor & self, int64_t dim, bool keepdim) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
switch (dispatch_scalar_type) {
case ScalarType::Byte: {
auto values_ = checked_dense_tensor_unwrap(values, "values", 0, "_th_mode_out", false, DeviceType::CPU, dispatch_scalar_type);
auto indices_ = checked_dense_tensor_unwrap(indices, "indices", 0, "_th_mode_out", false, DeviceType::CPU, ScalarType::Long);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_mode_out", false, DeviceType::CPU, dispatch_scalar_type);
THByteTensor_mode(values_, indices_, self_, dim, keepdim);
break;
}
case ScalarType::Char: {
auto values_ = checked_dense_tensor_unwrap(values, "values", 0, "_th_mode_out", false, DeviceType::CPU, dispatch_scalar_type);
auto indices_ = checked_dense_tensor_unwrap(indices, "indices", 0, "_th_mode_out", false, DeviceType::CPU, ScalarType::Long);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_mode_out", false, DeviceType::CPU, dispatch_scalar_type);
THCharTensor_mode(values_, indices_, self_, dim, keepdim);
break;
}
case ScalarType::Double: {
auto values_ = checked_dense_tensor_unwrap(values, "values", 0, "_th_mode_out", false, DeviceType::CPU, dispatch_scalar_type);
auto indices_ = checked_dense_tensor_unwrap(indices, "indices", 0, "_th_mode_out", false, DeviceType::CPU, ScalarType::Long);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_mode_out", false, DeviceType::CPU, dispatch_scalar_type);
THDoubleTensor_mode(values_, indices_, self_, dim, keepdim);
break;
}
case ScalarType::Float: {
auto values_ = checked_dense_tensor_unwrap(values, "values", 0, "_th_mode_out", false, DeviceType::CPU, dispatch_scalar_type);
auto indices_ = checked_dense_tensor_unwrap(indices, "indices", 0, "_th_mode_out", false, DeviceType::CPU, ScalarType::Long);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_mode_out", false, DeviceType::CPU, dispatch_scalar_type);
THFloatTensor_mode(values_, indices_, self_, dim, keepdim);
break;
}
case ScalarType::Int: {
auto values_ = checked_dense_tensor_unwrap(values, "values", 0, "_th_mode_out", false, DeviceType::CPU, dispatch_scalar_type);
auto indices_ = checked_dense_tensor_unwrap(indices, "indices", 0, "_th_mode_out", false, DeviceType::CPU, ScalarType::Long);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_mode_out", false, DeviceType::CPU, dispatch_scalar_type);
THIntTensor_mode(values_, indices_, self_, dim, keepdim);
break;
}
case ScalarType::Long: {
auto values_ = checked_dense_tensor_unwrap(values, "values", 0, "_th_mode_out", false, DeviceType::CPU, dispatch_scalar_type);
auto indices_ = checked_dense_tensor_unwrap(indices, "indices", 0, "_th_mode_out", false, DeviceType::CPU, ScalarType::Long);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_mode_out", false, DeviceType::CPU, dispatch_scalar_type);
THLongTensor_mode(values_, indices_, self_, dim, keepdim);
break;
}
case ScalarType::Short: {
auto values_ = checked_dense_tensor_unwrap(values, "values", 0, "_th_mode_out", false, DeviceType::CPU, dispatch_scalar_type);
auto indices_ = checked_dense_tensor_unwrap(indices, "indices", 0, "_th_mode_out", false, DeviceType::CPU, ScalarType::Long);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_mode_out", false, DeviceType::CPU, dispatch_scalar_type);
THShortTensor_mode(values_, indices_, self_, dim, keepdim);
break;
}
default:
AT_ERROR("_th_mode_out not supported on CPUType for ", dispatch_scalar_type);
}
return std::tuple<Tensor &, Tensor &>(values, indices);
}
std::tuple<Tensor,Tensor> _th_mode(const Tensor & self, int64_t dim, bool keepdim) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
auto values_ = c10::make_intrusive<TensorImpl, UndefinedTensorImpl>(c10::Storage(c10::Storage::use_byte_size_t(), 0, allocator(), true),DispatchKey::CPU, scalarTypeToTypeMeta(dispatch_scalar_type)).release();
auto values = Tensor(c10::intrusive_ptr<TensorImpl, UndefinedTensorImpl>::reclaim(values_));
auto indices_ = c10::make_intrusive<TensorImpl, UndefinedTensorImpl>(c10::Storage(c10::Storage::use_byte_size_t(), 0, allocator(), true),DispatchKey::CPU, scalarTypeToTypeMeta(ScalarType::Long)).release();
auto indices = Tensor(c10::intrusive_ptr<TensorImpl, UndefinedTensorImpl>::reclaim(indices_));
switch (dispatch_scalar_type) {
case ScalarType::Byte: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_mode", false, DeviceType::CPU, dispatch_scalar_type);
THByteTensor_mode(values_, indices_, self_, dim, keepdim);
break;
}
case ScalarType::Char: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_mode", false, DeviceType::CPU, dispatch_scalar_type);
THCharTensor_mode(values_, indices_, self_, dim, keepdim);
break;
}
case ScalarType::Double: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_mode", false, DeviceType::CPU, dispatch_scalar_type);
THDoubleTensor_mode(values_, indices_, self_, dim, keepdim);
break;
}
case ScalarType::Float: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_mode", false, DeviceType::CPU, dispatch_scalar_type);
THFloatTensor_mode(values_, indices_, self_, dim, keepdim);
break;
}
case ScalarType::Int: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_mode", false, DeviceType::CPU, dispatch_scalar_type);
THIntTensor_mode(values_, indices_, self_, dim, keepdim);
break;
}
case ScalarType::Long: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_mode", false, DeviceType::CPU, dispatch_scalar_type);
THLongTensor_mode(values_, indices_, self_, dim, keepdim);
break;
}
case ScalarType::Short: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_mode", false, DeviceType::CPU, dispatch_scalar_type);
THShortTensor_mode(values_, indices_, self_, dim, keepdim);
break;
}
default:
AT_ERROR("_th_mode not supported on CPUType for ", dispatch_scalar_type);
}
return std::tuple<Tensor, Tensor>(values, indices);
}
Tensor _th_var(const Tensor & self, bool unbiased) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
switch (dispatch_scalar_type) {
case ScalarType::Double: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_var", false, DeviceType::CPU, dispatch_scalar_type);
return at::scalar_tensor(convert<double>(THDoubleTensor_var_all(self_, unbiased)), options(ScalarType::Double));
break;
}
case ScalarType::Float: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_var", false, DeviceType::CPU, dispatch_scalar_type);
return at::scalar_tensor(convert<float>(THFloatTensor_var_all(self_, unbiased)), options(ScalarType::Float));
break;
}
default:
AT_ERROR("_th_var not supported on CPUType for ", dispatch_scalar_type);
}
}
Tensor _th_std(const Tensor & self, bool unbiased) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
switch (dispatch_scalar_type) {
case ScalarType::Double: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_std", false, DeviceType::CPU, dispatch_scalar_type);
return at::scalar_tensor(convert<double>(THDoubleTensor_std_all(self_, unbiased)), options(ScalarType::Double));
break;
}
case ScalarType::Float: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_std", false, DeviceType::CPU, dispatch_scalar_type);
return at::scalar_tensor(convert<float>(THFloatTensor_std_all(self_, unbiased)), options(ScalarType::Float));
break;
}
default:
AT_ERROR("_th_std not supported on CPUType for ", dispatch_scalar_type);
}
}
Tensor & _th_renorm_out(Tensor & result, const Tensor & self, Scalar p, int64_t dim, Scalar maxnorm) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
switch (dispatch_scalar_type) {
case ScalarType::Double: {
auto result_ = checked_dense_tensor_unwrap(result, "result", 0, "_th_renorm_out", false, DeviceType::CPU, dispatch_scalar_type);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_renorm_out", false, DeviceType::CPU, dispatch_scalar_type);
auto p_ = p.toDouble();
auto maxnorm_ = maxnorm.toDouble();
THDoubleTensor_renorm(result_, self_, p_, dim, maxnorm_);
break;
}
case ScalarType::Float: {
auto result_ = checked_dense_tensor_unwrap(result, "result", 0, "_th_renorm_out", false, DeviceType::CPU, dispatch_scalar_type);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_renorm_out", false, DeviceType::CPU, dispatch_scalar_type);
auto p_ = p.toFloat();
auto maxnorm_ = maxnorm.toFloat();
THFloatTensor_renorm(result_, self_, p_, dim, maxnorm_);
break;
}
default:
AT_ERROR("_th_renorm_out not supported on CPUType for ", dispatch_scalar_type);
}
return result;
}
Tensor _th_renorm(const Tensor & self, Scalar p, int64_t dim, Scalar maxnorm) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
auto result_ = c10::make_intrusive<TensorImpl, UndefinedTensorImpl>(c10::Storage(c10::Storage::use_byte_size_t(), 0, allocator(), true),DispatchKey::CPU, scalarTypeToTypeMeta(dispatch_scalar_type)).release();
auto result = Tensor(c10::intrusive_ptr<TensorImpl, UndefinedTensorImpl>::reclaim(result_));
switch (dispatch_scalar_type) {
case ScalarType::Double: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_renorm", false, DeviceType::CPU, dispatch_scalar_type);
auto p_ = p.toDouble();
auto maxnorm_ = maxnorm.toDouble();
THDoubleTensor_renorm(result_, self_, p_, dim, maxnorm_);
break;
}
case ScalarType::Float: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_renorm", false, DeviceType::CPU, dispatch_scalar_type);
auto p_ = p.toFloat();
auto maxnorm_ = maxnorm.toFloat();
THFloatTensor_renorm(result_, self_, p_, dim, maxnorm_);
break;
}
default:
AT_ERROR("_th_renorm not supported on CPUType for ", dispatch_scalar_type);
}
return result;
}
Tensor & _th_renorm_(Tensor & self, Scalar p, int64_t dim, Scalar maxnorm) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
switch (dispatch_scalar_type) {
case ScalarType::Double: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_renorm_", false, DeviceType::CPU, dispatch_scalar_type);
auto p_ = p.toDouble();
auto maxnorm_ = maxnorm.toDouble();
THDoubleTensor_renorm(self_, self_, p_, dim, maxnorm_);
break;
}
case ScalarType::Float: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_renorm_", false, DeviceType::CPU, dispatch_scalar_type);
auto p_ = p.toFloat();
auto maxnorm_ = maxnorm.toFloat();
THFloatTensor_renorm(self_, self_, p_, dim, maxnorm_);
break;
}
default:
AT_ERROR("_th_renorm_ not supported on CPUType for ", dispatch_scalar_type);
}
return self;
}
Tensor & _th_histc_out(Tensor & result, const Tensor & self, int64_t bins, Scalar min, Scalar max) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
switch (dispatch_scalar_type) {
case ScalarType::Double: {
auto result_ = checked_dense_tensor_unwrap(result, "result", 0, "_th_histc_out", false, DeviceType::CPU, dispatch_scalar_type);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_histc_out", false, DeviceType::CPU, dispatch_scalar_type);
auto min_ = min.toDouble();
auto max_ = max.toDouble();
THDoubleTensor_histc(result_, self_, bins, min_, max_);
break;
}
case ScalarType::Float: {
auto result_ = checked_dense_tensor_unwrap(result, "result", 0, "_th_histc_out", false, DeviceType::CPU, dispatch_scalar_type);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_histc_out", false, DeviceType::CPU, dispatch_scalar_type);
auto min_ = min.toFloat();
auto max_ = max.toFloat();
THFloatTensor_histc(result_, self_, bins, min_, max_);
break;
}
default:
AT_ERROR("_th_histc_out not supported on CPUType for ", dispatch_scalar_type);
}
return result;
}
Tensor _th_histc(const Tensor & self, int64_t bins, Scalar min, Scalar max) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
auto result_ = c10::make_intrusive<TensorImpl, UndefinedTensorImpl>(c10::Storage(c10::Storage::use_byte_size_t(), 0, allocator(), true),DispatchKey::CPU, scalarTypeToTypeMeta(dispatch_scalar_type)).release();
auto result = Tensor(c10::intrusive_ptr<TensorImpl, UndefinedTensorImpl>::reclaim(result_));
switch (dispatch_scalar_type) {
case ScalarType::Double: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_histc", false, DeviceType::CPU, dispatch_scalar_type);
auto min_ = min.toDouble();
auto max_ = max.toDouble();
THDoubleTensor_histc(result_, self_, bins, min_, max_);
break;
}
case ScalarType::Float: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_histc", false, DeviceType::CPU, dispatch_scalar_type);
auto min_ = min.toFloat();
auto max_ = max.toFloat();
THFloatTensor_histc(result_, self_, bins, min_, max_);
break;
}
default:
AT_ERROR("_th_histc not supported on CPUType for ", dispatch_scalar_type);
}
return result;
}
Tensor _th_trace(const Tensor & self) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
switch (dispatch_scalar_type) {
case ScalarType::Byte: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_trace", false, DeviceType::CPU, dispatch_scalar_type);
return at::scalar_tensor(convert<uint8_t>(THByteTensor_trace(self_)), options(ScalarType::Byte));
break;
}
case ScalarType::Char: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_trace", false, DeviceType::CPU, dispatch_scalar_type);
return at::scalar_tensor(convert<int8_t>(THCharTensor_trace(self_)), options(ScalarType::Char));
break;
}
case ScalarType::Double: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_trace", false, DeviceType::CPU, dispatch_scalar_type);
return at::scalar_tensor(convert<double>(THDoubleTensor_trace(self_)), options(ScalarType::Double));
break;
}
case ScalarType::Float: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_trace", false, DeviceType::CPU, dispatch_scalar_type);
return at::scalar_tensor(convert<float>(THFloatTensor_trace(self_)), options(ScalarType::Float));
break;
}
case ScalarType::Int: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_trace", false, DeviceType::CPU, dispatch_scalar_type);
return at::scalar_tensor(convert<int>(THIntTensor_trace(self_)), options(ScalarType::Int));
break;
}
case ScalarType::Long: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_trace", false, DeviceType::CPU, dispatch_scalar_type);
return at::scalar_tensor(convert<int64_t>(THLongTensor_trace(self_)), options(ScalarType::Long));
break;
}
case ScalarType::Short: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_trace", false, DeviceType::CPU, dispatch_scalar_type);
return at::scalar_tensor(convert<int16_t>(THShortTensor_trace(self_)), options(ScalarType::Short));
break;
}
default:
AT_ERROR("_th_trace not supported on CPUType for ", dispatch_scalar_type);
}
}
std::tuple<Tensor &,Tensor &> _th_gels_out(Tensor & res1, Tensor & res2, const Tensor & self, const Tensor & A) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
switch (dispatch_scalar_type) {
case ScalarType::Double: {
auto res1_ = checked_dense_tensor_unwrap(res1, "res1", 0, "_th_gels_out", false, DeviceType::CPU, dispatch_scalar_type);
auto res2_ = checked_dense_tensor_unwrap(res2, "res2", 0, "_th_gels_out", false, DeviceType::CPU, dispatch_scalar_type);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_gels_out", false, DeviceType::CPU, dispatch_scalar_type);
auto A_ = checked_dense_tensor_unwrap(A, "A", 2, "_th_gels_out", false, DeviceType::CPU, dispatch_scalar_type);
THDoubleTensor_gels(res1_, res2_, self_, A_);
break;
}
case ScalarType::Float: {
auto res1_ = checked_dense_tensor_unwrap(res1, "res1", 0, "_th_gels_out", false, DeviceType::CPU, dispatch_scalar_type);
auto res2_ = checked_dense_tensor_unwrap(res2, "res2", 0, "_th_gels_out", false, DeviceType::CPU, dispatch_scalar_type);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_gels_out", false, DeviceType::CPU, dispatch_scalar_type);
auto A_ = checked_dense_tensor_unwrap(A, "A", 2, "_th_gels_out", false, DeviceType::CPU, dispatch_scalar_type);
THFloatTensor_gels(res1_, res2_, self_, A_);
break;
}
default:
AT_ERROR("_th_gels_out not supported on CPUType for ", dispatch_scalar_type);
}
return std::tuple<Tensor &, Tensor &>(res1, res2);
}
std::tuple<Tensor,Tensor> _th_gels(const Tensor & self, const Tensor & A) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
auto res1_ = c10::make_intrusive<TensorImpl, UndefinedTensorImpl>(c10::Storage(c10::Storage::use_byte_size_t(), 0, allocator(), true),DispatchKey::CPU, scalarTypeToTypeMeta(dispatch_scalar_type)).release();
auto res1 = Tensor(c10::intrusive_ptr<TensorImpl, UndefinedTensorImpl>::reclaim(res1_));
auto res2_ = c10::make_intrusive<TensorImpl, UndefinedTensorImpl>(c10::Storage(c10::Storage::use_byte_size_t(), 0, allocator(), true),DispatchKey::CPU, scalarTypeToTypeMeta(dispatch_scalar_type)).release();
auto res2 = Tensor(c10::intrusive_ptr<TensorImpl, UndefinedTensorImpl>::reclaim(res2_));
switch (dispatch_scalar_type) {
case ScalarType::Double: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_gels", false, DeviceType::CPU, dispatch_scalar_type);
auto A_ = checked_dense_tensor_unwrap(A, "A", 2, "_th_gels", false, DeviceType::CPU, dispatch_scalar_type);
THDoubleTensor_gels(res1_, res2_, self_, A_);
break;
}
case ScalarType::Float: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_gels", false, DeviceType::CPU, dispatch_scalar_type);
auto A_ = checked_dense_tensor_unwrap(A, "A", 2, "_th_gels", false, DeviceType::CPU, dispatch_scalar_type);
THFloatTensor_gels(res1_, res2_, self_, A_);
break;
}
default:
AT_ERROR("_th_gels not supported on CPUType for ", dispatch_scalar_type);
}
return std::tuple<Tensor, Tensor>(res1, res2);
}
std::tuple<Tensor &,Tensor &> _th_eig_out(Tensor & res1, Tensor & res2, const Tensor & self, bool eigenvectors) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
switch (dispatch_scalar_type) {
case ScalarType::Double: {
auto res1_ = checked_dense_tensor_unwrap(res1, "res1", 0, "_th_eig_out", false, DeviceType::CPU, dispatch_scalar_type);
auto res2_ = checked_dense_tensor_unwrap(res2, "res2", 0, "_th_eig_out", false, DeviceType::CPU, dispatch_scalar_type);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_eig_out", false, DeviceType::CPU, dispatch_scalar_type);
THDoubleTensor_geev(res1_, res2_, self_, eigenvectors);
break;
}
case ScalarType::Float: {
auto res1_ = checked_dense_tensor_unwrap(res1, "res1", 0, "_th_eig_out", false, DeviceType::CPU, dispatch_scalar_type);
auto res2_ = checked_dense_tensor_unwrap(res2, "res2", 0, "_th_eig_out", false, DeviceType::CPU, dispatch_scalar_type);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_eig_out", false, DeviceType::CPU, dispatch_scalar_type);
THFloatTensor_geev(res1_, res2_, self_, eigenvectors);
break;
}
default:
AT_ERROR("_th_eig_out not supported on CPUType for ", dispatch_scalar_type);
}
return std::tuple<Tensor &, Tensor &>(res1, res2);
}
std::tuple<Tensor,Tensor> _th_eig(const Tensor & self, bool eigenvectors) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
auto res1_ = c10::make_intrusive<TensorImpl, UndefinedTensorImpl>(c10::Storage(c10::Storage::use_byte_size_t(), 0, allocator(), true),DispatchKey::CPU, scalarTypeToTypeMeta(dispatch_scalar_type)).release();
auto res1 = Tensor(c10::intrusive_ptr<TensorImpl, UndefinedTensorImpl>::reclaim(res1_));
auto res2_ = c10::make_intrusive<TensorImpl, UndefinedTensorImpl>(c10::Storage(c10::Storage::use_byte_size_t(), 0, allocator(), true),DispatchKey::CPU, scalarTypeToTypeMeta(dispatch_scalar_type)).release();
auto res2 = Tensor(c10::intrusive_ptr<TensorImpl, UndefinedTensorImpl>::reclaim(res2_));
switch (dispatch_scalar_type) {
case ScalarType::Double: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_eig", false, DeviceType::CPU, dispatch_scalar_type);
THDoubleTensor_geev(res1_, res2_, self_, eigenvectors);
break;
}
case ScalarType::Float: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_eig", false, DeviceType::CPU, dispatch_scalar_type);
THFloatTensor_geev(res1_, res2_, self_, eigenvectors);
break;
}
default:
AT_ERROR("_th_eig not supported on CPUType for ", dispatch_scalar_type);
}
return std::tuple<Tensor, Tensor>(res1, res2);
}
Tensor & _th_potri_out(Tensor & output, const Tensor & self, bool upper) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
switch (dispatch_scalar_type) {
case ScalarType::Double: {
auto output_ = checked_dense_tensor_unwrap(output, "output", 0, "_th_potri_out", false, DeviceType::CPU, dispatch_scalar_type);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_potri_out", false, DeviceType::CPU, dispatch_scalar_type);
THDoubleTensor_potri(output_, self_, upper);
break;
}
case ScalarType::Float: {
auto output_ = checked_dense_tensor_unwrap(output, "output", 0, "_th_potri_out", false, DeviceType::CPU, dispatch_scalar_type);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_potri_out", false, DeviceType::CPU, dispatch_scalar_type);
THFloatTensor_potri(output_, self_, upper);
break;
}
default:
AT_ERROR("_th_potri_out not supported on CPUType for ", dispatch_scalar_type);
}
return output;
}
Tensor _th_potri(const Tensor & self, bool upper) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
auto output_ = c10::make_intrusive<TensorImpl, UndefinedTensorImpl>(c10::Storage(c10::Storage::use_byte_size_t(), 0, allocator(), true),DispatchKey::CPU, scalarTypeToTypeMeta(dispatch_scalar_type)).release();
auto output = Tensor(c10::intrusive_ptr<TensorImpl, UndefinedTensorImpl>::reclaim(output_));
switch (dispatch_scalar_type) {
case ScalarType::Double: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_potri", false, DeviceType::CPU, dispatch_scalar_type);
THDoubleTensor_potri(output_, self_, upper);
break;
}
case ScalarType::Float: {
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_potri", false, DeviceType::CPU, dispatch_scalar_type);
THFloatTensor_potri(output_, self_, upper);
break;
}
default:
AT_ERROR("_th_potri not supported on CPUType for ", dispatch_scalar_type);
}
return output;
}
std::tuple<Tensor &,Tensor &> _th_geqrf_out(Tensor & res1, Tensor & res2, const Tensor & self) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
switch (dispatch_scalar_type) {
case ScalarType::Double: {
auto res1_ = checked_dense_tensor_unwrap(res1, "res1", 0, "_th_geqrf_out", false, DeviceType::CPU, dispatch_scalar_type);
auto res2_ = checked_dense_tensor_unwrap(res2, "res2", 0, "_th_geqrf_out", false, DeviceType::CPU, dispatch_scalar_type);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_geqrf_out", false, DeviceType::CPU, dispatch_scalar_type);
THDoubleTensor_geqrf(res1_, res2_, self_);
break;
}
case ScalarType::Float: {
auto res1_ = checked_dense_tensor_unwrap(res1, "res1", 0, "_th_geqrf_out", false, DeviceType::CPU, dispatch_scalar_type);
auto res2_ = checked_dense_tensor_unwrap(res2, "res2", 0, "_th_geqrf_out", false, DeviceType::CPU, dispatch_scalar_type);
auto self_ = checked_dense_tensor_unwrap(self, "self", 1, "_th_geqrf_out", false, DeviceType::CPU, dispatch_scalar_type);
THFloatTensor_geqrf(res1_, res2_, self_);
break;
}
default:
AT_ERROR("_th_geqrf_out not supported on CPUType for ", dispatch_scalar_type);
}
return std::tuple<Tensor &, Tensor &>(res1, res2);
}
std::tuple<Tensor,Tensor> _th_geqrf(const Tensor & self) {
// DeviceGuard omitted
auto dispatch_scalar_type = infer_scalar_type(self);
auto res1_ = c10::make_intrusive<TensorImpl, UndefinedTensorImpl>(c10::Storage(c10::Storage::use_byte_size_t(), 0, allocator(), true),DispatchKey::CPU, scalarTypeToTypeMeta(dispatch_scalar_type)).release();
auto res1 = Tensor(c10::intrusive_ptr<TensorImpl, UndefinedTensorImpl>::reclaim(res1_));
auto res2_ = c10::make_intrusive<TensorImpl, UndefinedTensorImpl>(c10::Storage(c10::Storage::use_byte_size_t(), 0, allocator(), true),DispatchKey::CPU, scalarTypeToTypeMeta(dispatch_scalar_type)).release();
auto res2 = Tensor(c10::intrusive_ptr<TensorImpl, UndefinedTensorImpl>::reclaim(res2_));