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-rw-r--r--aten/src/ATen/OpaqueTensorImpl.h2
-rw-r--r--aten/src/ATen/SparseTensorImpl.cpp2
-rw-r--r--aten/src/ATen/core/op_registration/test_helpers.h2
-rw-r--r--aten/src/ATen/function_wrapper.py8
-rw-r--r--aten/src/ATen/native/TensorFactories.cpp2
-rw-r--r--aten/src/ATen/native/TensorShape.cpp2
-rw-r--r--aten/src/ATen/native/cuda/TensorFactories.cu2
-rw-r--r--aten/src/ATen/quantized/QTensorImpl.cpp3
-rw-r--r--aten/src/ATen/quantized/QTensorImpl.h3
-rw-r--r--aten/src/ATen/quantized/Quantizer.cpp4
-rw-r--r--aten/src/ATen/test/extension_backend_test.cpp3
-rw-r--r--aten/src/ATen/test/xla_tensor_test.cpp3
-rw-r--r--aten/src/TH/generic/THTensor.cpp9
-rw-r--r--aten/src/THC/generic/THCTensor.cpp12
-rw-r--r--c10/core/TensorImpl.cpp13
-rw-r--r--c10/core/TensorImpl.h11
-rw-r--r--c10/core/UndefinedTensorImpl.cpp2
-rw-r--r--caffe2/core/tensor.h3
-rw-r--r--test/cpp_extensions/msnpu_extension.cpp3
-rw-r--r--torch/csrc/autograd/variable.cpp3
20 files changed, 37 insertions, 55 deletions
diff --git a/aten/src/ATen/OpaqueTensorImpl.h b/aten/src/ATen/OpaqueTensorImpl.h
index 04e77c96b1..5a897109da 100644
--- a/aten/src/ATen/OpaqueTensorImpl.h
+++ b/aten/src/ATen/OpaqueTensorImpl.h
@@ -20,7 +20,7 @@ struct CAFFE2_API OpaqueTensorImpl : public TensorImpl {
// public constructor for now...
OpaqueTensorImpl(at::TensorTypeId type_id, const caffe2::TypeMeta& data_type, c10::Device device,
OpaqueHandle opaque_handle, c10::IntArrayRef sizes)
- : TensorImpl(type_id, data_type, device, false),
+ : TensorImpl(type_id, data_type, device),
opaque_handle_(std::move(opaque_handle))
{
sizes_ = sizes.vec();
diff --git a/aten/src/ATen/SparseTensorImpl.cpp b/aten/src/ATen/SparseTensorImpl.cpp
index 89ea262d6b..d87b29707f 100644
--- a/aten/src/ATen/SparseTensorImpl.cpp
+++ b/aten/src/ATen/SparseTensorImpl.cpp
@@ -36,7 +36,7 @@ SparseTensorImpl::SparseTensorImpl(at::TensorTypeId type_id, const caffe2::TypeM
, at::empty({0}, at::initialTensorOptions().device(sparseTensorIdToDeviceType(type_id)).dtype(data_type))) {}
SparseTensorImpl::SparseTensorImpl(at::TensorTypeId type_id, const caffe2::TypeMeta& data_type, at::Tensor indices, at::Tensor values)
- : TensorImpl(type_id, data_type, values.device(), false)
+ : TensorImpl(type_id, data_type, values.device())
, sparse_dim_(1)
, dense_dim_(0)
, indices_(std::move(indices))
diff --git a/aten/src/ATen/core/op_registration/test_helpers.h b/aten/src/ATen/core/op_registration/test_helpers.h
index 23b5b2b6a8..ecb7dc8cc1 100644
--- a/aten/src/ATen/core/op_registration/test_helpers.h
+++ b/aten/src/ATen/core/op_registration/test_helpers.h
@@ -23,7 +23,7 @@ inline at::Tensor dummyTensor(c10::TensorTypeId dispatch_key) {
allocator->allocate(nelements * dtype.itemsize()),
allocator,
/*resizable=*/true);
- return at::detail::make_tensor<c10::TensorImpl>(storage_impl, dispatch_key, false);
+ return at::detail::make_tensor<c10::TensorImpl>(storage_impl, dispatch_key);
}
template<class... Args>
diff --git a/aten/src/ATen/function_wrapper.py b/aten/src/ATen/function_wrapper.py
index c42a873b6f..307ff0699e 100644
--- a/aten/src/ATen/function_wrapper.py
+++ b/aten/src/ATen/function_wrapper.py
@@ -319,16 +319,16 @@ CHECKED_USE_NULLABLE = CodeTemplate('${arg_name}_ ? ${usage} : NULL')
ALLOC_NOARGS_WRAP = {
'THTensor*': 'c10::make_intrusive<TensorImpl, UndefinedTensorImpl>'
'(c10::Storage(caffe2::TypeMeta::Make<${ScalarType}>(), 0, allocator(), true),'
- '${Backend}TensorId(), false).release()',
+ '${Backend}TensorId()).release()',
'THByteTensor*': 'c10::make_intrusive<TensorImpl, UndefinedTensorImpl>'
'(c10::Storage(scalarTypeToTypeMeta(ScalarType::Byte), 0, allocator(), true),'
- '${Backend}TensorId(), false).release()',
+ '${Backend}TensorId()).release()',
'THIndexTensor*': 'c10::make_intrusive<TensorImpl, UndefinedTensorImpl>'
'(c10::Storage(scalarTypeToTypeMeta(ScalarType::Long), 0, allocator(), true),'
- '${Backend}TensorId(), false).release()',
+ '${Backend}TensorId()).release()',
'THIntegerTensor*': 'c10::make_intrusive<TensorImpl, UndefinedTensorImpl>'
'(c10::Storage(scalarTypeToTypeMeta(ScalarType::Int), 0, allocator(), true),'
- '${Backend}TensorId(), false).release()',
+ '${Backend}TensorId()).release()',
}
ALLOC_WRAP = {
diff --git a/aten/src/ATen/native/TensorFactories.cpp b/aten/src/ATen/native/TensorFactories.cpp
index 981d9ad3fd..96a8b04c03 100644
--- a/aten/src/ATen/native/TensorFactories.cpp
+++ b/aten/src/ATen/native/TensorFactories.cpp
@@ -103,7 +103,7 @@ Tensor empty_cpu(IntArrayRef size, const TensorOptions& options) {
allocator,
/*resizeable=*/true);
- auto tensor = detail::make_tensor<TensorImpl>(storage_impl, at::CPUTensorId(), false);
+ auto tensor = detail::make_tensor<TensorImpl>(storage_impl, at::CPUTensorId());
// Default TensorImpl has size [0]
if (size.size() != 1 || size[0] != 0) {
tensor.unsafeGetTensorImpl()->set_sizes_contiguous(size);
diff --git a/aten/src/ATen/native/TensorShape.cpp b/aten/src/ATen/native/TensorShape.cpp
index 6e7efa3ded..a3eef5dff5 100644
--- a/aten/src/ATen/native/TensorShape.cpp
+++ b/aten/src/ATen/native/TensorShape.cpp
@@ -304,7 +304,7 @@ Tensor as_strided(const Tensor& self, IntArrayRef size, IntArrayRef stride, opti
AT_CHECK(
tid == CPUTensorId() || tid == CUDATensorId(),
"as_strided is only implemented for strided CPU and CUDA tensors.");
- auto result = detail::make_tensor<TensorImpl>(Storage(self.storage()), tid, false);
+ auto result = detail::make_tensor<TensorImpl>(Storage(self.storage()), tid);
setStrided(result, size, stride, storage_offset);
return result;
}
diff --git a/aten/src/ATen/native/cuda/TensorFactories.cu b/aten/src/ATen/native/cuda/TensorFactories.cu
index 91d9549e4b..2da789ad1f 100644
--- a/aten/src/ATen/native/cuda/TensorFactories.cu
+++ b/aten/src/ATen/native/cuda/TensorFactories.cu
@@ -58,7 +58,7 @@ Tensor empty_cuda(IntArrayRef size, const TensorOptions& options) {
allocator,
/*resizeable=*/true);
- auto tensor = detail::make_tensor<TensorImpl>(storage_impl, CUDATensorId(), false);
+ auto tensor = detail::make_tensor<TensorImpl>(storage_impl, CUDATensorId());
// Default TensorImpl has size [0]
if (size.size() != 1 || size[0] != 0) {
tensor.unsafeGetTensorImpl()->set_sizes_contiguous(size);
diff --git a/aten/src/ATen/quantized/QTensorImpl.cpp b/aten/src/ATen/quantized/QTensorImpl.cpp
index 83f585e750..0006d50966 100644
--- a/aten/src/ATen/quantized/QTensorImpl.cpp
+++ b/aten/src/ATen/quantized/QTensorImpl.cpp
@@ -5,9 +5,8 @@ namespace at {
QTensorImpl::QTensorImpl(
Storage&& storage,
TensorTypeId type_id,
- bool is_variable,
QuantizerPtr quantizer)
- : TensorImpl(std::move(storage), type_id, is_variable),
+ : TensorImpl(std::move(storage), type_id),
quantizer_(quantizer) {}
} // namespace at
diff --git a/aten/src/ATen/quantized/QTensorImpl.h b/aten/src/ATen/quantized/QTensorImpl.h
index 9f01246586..6e9af90e76 100644
--- a/aten/src/ATen/quantized/QTensorImpl.h
+++ b/aten/src/ATen/quantized/QTensorImpl.h
@@ -11,7 +11,6 @@ struct CAFFE2_API QTensorImpl : public c10::TensorImpl {
QTensorImpl(
Storage&& storage,
TensorTypeId type_id,
- bool is_variable,
QuantizerPtr quantizer);
// TODO: Expose in PyTorch Frontend
@@ -21,7 +20,7 @@ struct CAFFE2_API QTensorImpl : public c10::TensorImpl {
c10::intrusive_ptr<TensorImpl> shallow_copy_and_detach() const override {
auto impl = c10::make_intrusive<QTensorImpl>(
- Storage(storage()), type_id(), is_variable(), quantizer_);
+ Storage(storage()), type_id(), quantizer_);
impl->set_sizes_and_strides(sizes(), strides());
impl->storage_offset_ = storage_offset_;
impl->is_wrapped_number_ = is_wrapped_number_;
diff --git a/aten/src/ATen/quantized/Quantizer.cpp b/aten/src/ATen/quantized/Quantizer.cpp
index eabc6970c4..1f30ae2a9f 100644
--- a/aten/src/ATen/quantized/Quantizer.cpp
+++ b/aten/src/ATen/quantized/Quantizer.cpp
@@ -28,7 +28,6 @@ QTensorImpl* get_qtensorimpl(const QTensor& self) {
inline QTensor new_qtensor(
IntArrayRef sizes,
const TensorOptions& options,
- bool is_variable,
QuantizerPtr quantizer) {
AT_ASSERT(options.device().is_cpu());
@@ -44,7 +43,7 @@ inline QTensor new_qtensor(
allocator,
/*resizable=*/true);
auto tensor = detail::make_tensor<QTensorImpl>(
- storage_impl, at::CPUTensorId(), is_variable, quantizer);
+ storage_impl, at::CPUTensorId(), quantizer);
get_qtensorimpl(tensor)->set_sizes_contiguous(sizes);
return tensor;
}
@@ -76,7 +75,6 @@ QTensor PerTensorAffineQuantizer::quantize(RealTensor tensor) {
QTensor qv = new_qtensor(
sizes,
tensor.options().dtype(at::kQInt8),
- tensor.is_variable(),
intrusive_from_this());
auto qvd = qv.data<qint8>();
tensor.contiguous();
diff --git a/aten/src/ATen/test/extension_backend_test.cpp b/aten/src/ATen/test/extension_backend_test.cpp
index 94aaad6d6a..9302237b62 100644
--- a/aten/src/ATen/test/extension_backend_test.cpp
+++ b/aten/src/ATen/test/extension_backend_test.cpp
@@ -13,8 +13,7 @@ Tensor empty_override(IntArrayRef size, const TensorOptions & options) {
auto tensor_impl = c10::make_intrusive<TensorImpl, UndefinedTensorImpl>(
Storage(
caffe2::TypeMeta::Make<float>(), 0, at::DataPtr(nullptr, Device(DeviceType::MSNPU, 1)), nullptr, false),
- MSNPUTensorId(),
- false);
+ MSNPUTensorId());
return Tensor(std::move(tensor_impl));
}
diff --git a/aten/src/ATen/test/xla_tensor_test.cpp b/aten/src/ATen/test/xla_tensor_test.cpp
index bef48c978f..f7b314daf4 100644
--- a/aten/src/ATen/test/xla_tensor_test.cpp
+++ b/aten/src/ATen/test/xla_tensor_test.cpp
@@ -27,8 +27,7 @@ TEST(XlaTensorTest, TestNoStorage) {
auto tensor_impl = c10::make_intrusive<TensorImpl, UndefinedTensorImpl>(
XLATensorId(),
caffe2::TypeMeta::Make<float>(),
- at::Device(DeviceType::XLA, 0),
- /*is_variable=*/false);
+ at::Device(DeviceType::XLA, 0));
at::Tensor t(std::move(tensor_impl));
ASSERT_TRUE(t.device() == at::Device(DeviceType::XLA, 0));
}
diff --git a/aten/src/TH/generic/THTensor.cpp b/aten/src/TH/generic/THTensor.cpp
index 7e1bb5f22a..2c28efcaf3 100644
--- a/aten/src/TH/generic/THTensor.cpp
+++ b/aten/src/TH/generic/THTensor.cpp
@@ -56,8 +56,7 @@ THTensor *THTensor_(new)(void)
{
return c10::make_intrusive<at::TensorImpl, at::UndefinedTensorImpl>(
c10::intrusive_ptr<at::StorageImpl>::reclaim(THStorage_(new)()),
- at::CPUTensorId(),
- false
+ at::CPUTensorId()
).release();
}
@@ -66,8 +65,7 @@ THTensor *THTensor_(newWithTensor)(THTensor *tensor)
{
THTensor *self = c10::make_intrusive<at::TensorImpl, at::UndefinedTensorImpl>(
c10::intrusive_ptr<at::StorageImpl>::reclaim(THStorage_(new)()),
- at::CPUTensorId(),
- false
+ at::CPUTensorId()
).release();
THTensor_(setStorageNd)(self,
THTensor_getStoragePtr(tensor),
@@ -85,8 +83,7 @@ THTensor *THTensor_(newWithStorage)(THStorage *storage, ptrdiff_t storageOffset,
}
THTensor *self = c10::make_intrusive<at::TensorImpl, at::UndefinedTensorImpl>(
c10::intrusive_ptr<at::StorageImpl>::reclaim(THStorage_(new)()),
- at::CPUTensorId(),
- false
+ at::CPUTensorId()
).release();
THTensor_(setStorageNd)(self, storage, storageOffset, sizes.size(),
const_cast<int64_t*>(sizes.data()), const_cast<int64_t*>(strides.data()));
diff --git a/aten/src/THC/generic/THCTensor.cpp b/aten/src/THC/generic/THCTensor.cpp
index ea1d09e53c..4844e61a8a 100644
--- a/aten/src/THC/generic/THCTensor.cpp
+++ b/aten/src/THC/generic/THCTensor.cpp
@@ -65,8 +65,7 @@ THCTensor *THCTensor_(new)(THCState *state)
{
return c10::make_intrusive<at::TensorImpl, at::UndefinedTensorImpl>(
c10::intrusive_ptr<at::StorageImpl>::reclaim(THCStorage_(new)(state)),
- at::CUDATensorId(),
- false
+ at::CUDATensorId()
).release();
}
@@ -75,8 +74,7 @@ THCTensor *THCTensor_(newWithTensor)(THCState *state, THCTensor *tensor)
{
THCTensor *self = c10::make_intrusive<at::TensorImpl, at::UndefinedTensorImpl>(
c10::intrusive_ptr<at::StorageImpl>::reclaim(THCStorage_(new)(state)),
- at::CUDATensorId(),
- false
+ at::CUDATensorId()
).release();
THCTensor_(setStorageNd)(state,
self,
@@ -95,8 +93,7 @@ THCTensor *THCTensor_(newWithStorage)(THCState *state, THCStorage *storage, ptrd
}
THCTensor *self = c10::make_intrusive<at::TensorImpl, at::UndefinedTensorImpl>(
c10::intrusive_ptr<at::StorageImpl>::reclaim(THCStorage_(new)(state)),
- at::CUDATensorId(),
- false
+ at::CUDATensorId()
).release();
THCTensor_(setStorageNd)(state, self, storage, storageOffset, sizes.size(),
const_cast<int64_t*>(sizes.data()), const_cast<int64_t*>(strides.data()));
@@ -220,8 +217,7 @@ THCTensor *THCTensor_(newView)(THCState *state, THCTensor *tensor, at::IntArrayR
auto storage = tensor->storage();
THCTensor *self = c10::make_intrusive<at::TensorImpl, at::UndefinedTensorImpl>(
std::move(storage),
- at::CUDATensorId(),
- false
+ at::CUDATensorId()
).release();
THCTensor_setStorage(state, self, THTensor_getStoragePtr(tensor), tensor->storage_offset(), inferred_size, stride_value);
diff --git a/c10/core/TensorImpl.cpp b/c10/core/TensorImpl.cpp
index 258d402a90..41af810b1e 100644
--- a/c10/core/TensorImpl.cpp
+++ b/c10/core/TensorImpl.cpp
@@ -33,22 +33,21 @@ const at::Tensor& TensorImpl::grad() const {
}
}
-TensorImpl::TensorImpl(Storage&& storage, TensorTypeId type_id, bool is_variable)
- : TensorImpl(std::move(storage), type_id, storage.dtype(), storage.device(), is_variable) {}
+TensorImpl::TensorImpl(Storage&& storage, TensorTypeId type_id)
+ : TensorImpl(std::move(storage), type_id, storage.dtype(), storage.device()) {}
-TensorImpl::TensorImpl(TensorTypeId type_id, const caffe2::TypeMeta& data_type, c10::optional<c10::Device> device_opt, bool is_variable)
- : TensorImpl({}, type_id, data_type, std::move(device_opt), is_variable) {}
+TensorImpl::TensorImpl(TensorTypeId type_id, const caffe2::TypeMeta& data_type, c10::optional<c10::Device> device_opt)
+ : TensorImpl({}, type_id, data_type, std::move(device_opt)) {}
TensorImpl::TensorImpl(Storage&& storage, TensorTypeId type_id, const caffe2::TypeMeta& data_type,
- c10::optional<c10::Device> device_opt, bool is_variable)
+ c10::optional<c10::Device> device_opt)
: storage_(std::move(storage)),
sizes_{0},
storage_offset_(0),
numel_(0),
data_type_(data_type),
device_opt_(device_opt),
- type_id_(type_id),
- is_variable_(is_variable) {
+ type_id_(type_id) {
AT_ASSERT(type_id == UndefinedTensorId() || data_type.id() == caffe2::TypeIdentifier::uninitialized() ||
device_opt_.has_value());
// we would also like to check that non-cpu devices have an index, but some Caffe2 operators create
diff --git a/c10/core/TensorImpl.h b/c10/core/TensorImpl.h
index 7061996c05..d3538aaac3 100644
--- a/c10/core/TensorImpl.h
+++ b/c10/core/TensorImpl.h
@@ -215,19 +215,19 @@ struct C10_API TensorImpl : public c10::intrusive_ptr_target {
/**
* Construct a 1-dim 0-size tensor backed by the given storage.
*/
- TensorImpl(Storage&& storage, TensorTypeId type_id, bool is_variable);
+ TensorImpl(Storage&& storage, TensorTypeId type_id);
/**
* Construct a 1-dim 0 size tensor that doesn't have a storage.
*/
- TensorImpl(TensorTypeId type_id, const caffe2::TypeMeta& data_type, c10::optional<c10::Device> device_opt, bool is_variable);
+ TensorImpl(TensorTypeId type_id, const caffe2::TypeMeta& data_type, c10::optional<c10::Device> device_opt);
private:
// This constructor is private, because the data_type is redundant with
// storage. Still, we pass it in separately because it's easier to write
// the initializer list if we're not worried about storage being moved out
// from under us.
- TensorImpl(Storage&& storage, TensorTypeId type_id, const caffe2::TypeMeta& data_type, c10::optional<c10::Device>, bool is_variable);
+ TensorImpl(Storage&& storage, TensorTypeId type_id, const caffe2::TypeMeta& data_type, c10::optional<c10::Device>);
public:
TensorImpl(const TensorImpl&) = delete;
@@ -808,7 +808,7 @@ struct C10_API TensorImpl : public c10::intrusive_ptr_target {
/**
* True if a tensor is a variable. See Note [Tensor versus Variable in C++]
*/
- bool is_variable() const { return is_variable_; };
+ bool is_variable() const { return autograd_meta_ != nullptr; };
/**
* Set whether a tensor allows changes to its metadata (e.g. sizes / strides / storage / storage_offset).
@@ -852,7 +852,7 @@ struct C10_API TensorImpl : public c10::intrusive_ptr_target {
// `allow_tensor_metadata_change_` to false would prevent those changes from happening and is
// undesirable.
virtual c10::intrusive_ptr<TensorImpl> shallow_copy_and_detach() const {
- auto impl = c10::make_intrusive<TensorImpl>(Storage(storage()), type_id(), is_variable());
+ auto impl = c10::make_intrusive<TensorImpl>(Storage(storage()), type_id());
impl->set_sizes_and_strides(sizes(), strides());
impl->storage_offset_ = storage_offset_;
impl->is_wrapped_number_ = is_wrapped_number_;
@@ -1419,7 +1419,6 @@ protected:
// should pack this into a bitfield.
TensorTypeId type_id_;
bool is_contiguous_ = true;
- bool is_variable_ = false;
bool is_wrapped_number_ = false;
// Previously, if we change the tensor metadata (e.g. sizes / strides / storage / storage_offset)
diff --git a/c10/core/UndefinedTensorImpl.cpp b/c10/core/UndefinedTensorImpl.cpp
index 472125467a..8b2af57772 100644
--- a/c10/core/UndefinedTensorImpl.cpp
+++ b/c10/core/UndefinedTensorImpl.cpp
@@ -5,7 +5,7 @@ namespace c10 {
// should this use the globalContext? Can it get a context passed in somehow?
UndefinedTensorImpl::UndefinedTensorImpl()
-: TensorImpl(UndefinedTensorId(), caffe2::TypeMeta(), c10::nullopt, /* is variable */ false) {
+: TensorImpl(UndefinedTensorId(), caffe2::TypeMeta(), c10::nullopt) {
}
IntArrayRef UndefinedTensorImpl::sizes() const {
diff --git a/caffe2/core/tensor.h b/caffe2/core/tensor.h
index 3fe7329c84..a0ceec5622 100644
--- a/caffe2/core/tensor.h
+++ b/caffe2/core/tensor.h
@@ -72,8 +72,7 @@ class CAFFE2_API Tensor final {
explicit Tensor(at::Device device)
: impl_(c10::make_intrusive<TensorImpl, UndefinedTensorImpl>(
Storage::create_legacy(device, TypeMeta()),
- c10::computeTensorTypeId(at::device(device).layout(at::kStrided)),
- /*is_variable=*/ false
+ c10::computeTensorTypeId(at::device(device).layout(at::kStrided))
)) {
}
diff --git a/test/cpp_extensions/msnpu_extension.cpp b/test/cpp_extensions/msnpu_extension.cpp
index dfffd08f2e..a9da6c6662 100644
--- a/test/cpp_extensions/msnpu_extension.cpp
+++ b/test/cpp_extensions/msnpu_extension.cpp
@@ -10,8 +10,7 @@ Tensor get_dtype_tensor(caffe2::TypeMeta dtype) {
auto tensor_impl = c10::make_intrusive<TensorImpl, UndefinedTensorImpl>(
Storage(
dtype, 0, at::DataPtr(nullptr, Device(DeviceType::MSNPU, 0)), nullptr, false),
- MSNPUTensorId(),
- false);
+ MSNPUTensorId());
return Tensor(std::move(tensor_impl));
}
diff --git a/torch/csrc/autograd/variable.cpp b/torch/csrc/autograd/variable.cpp
index 2a7e1fb007..347795d44d 100644
--- a/torch/csrc/autograd/variable.cpp
+++ b/torch/csrc/autograd/variable.cpp
@@ -22,7 +22,7 @@
namespace torch {
namespace autograd {
Variable::Impl::Impl(at::Tensor data, std::unique_ptr<Variable::AutogradMeta> autograd_meta, bool requires_grad, Edge gradient_edge)
- : TensorImpl(data.type_id(), data.dtype(), data.device(), /* is variable */ true),
+ : TensorImpl(data.type_id(), data.dtype(), data.device()),
data_(std::move(data)) {
autograd_meta->grad_fn_ = std::move(gradient_edge.function);
autograd_meta->requires_grad_ = false;
@@ -170,7 +170,6 @@ void Variable::Impl::set_data(const at::Tensor &new_data) {
data_type_ = new_data.type().typeMeta();
device_opt_ = new_data.device();
type_id_ = new_data.dispatch_type().type_id();
- is_variable_ = true;
auto new_data_copy = at::Tensor(new_data.getIntrusivePtr()->shallow_copy_and_detach());
data_ = std::move(new_data_copy);
generated by cgit v1.2.3 (git 2.25.1) at 2024-11-25 23:43:54 +0000