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[AutoParallel] Disttensor print #59068

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merged 3 commits into from
Nov 17, 2023
Merged

[AutoParallel] Disttensor print #59068

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3a24b7f
dist tensor support print
wanghuancoder Nov 16, 2023
d0a5cd3
refine
wanghuancoder Nov 16, 2023
441bba1
refine
wanghuancoder Nov 17, 2023
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13 changes: 9 additions & 4 deletions paddle/fluid/pybind/eager_method.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -569,10 +569,15 @@ static PyObject* tensor_method__is_initialized(TensorObject* self,
static PyObject* tensor_method__is_dense_tensor_hold_allocation(
TensorObject* self, PyObject* args, PyObject* kwargs) {
EAGER_TRY
auto dense_tensor =
std::dynamic_pointer_cast<phi::DenseTensor>(self->tensor.impl());
if (dense_tensor) {
return ToPyObject(dense_tensor->IsInitialized());
if (self->tensor.is_dense_tensor()) {
return ToPyObject(
std::dynamic_pointer_cast<phi::DenseTensor>(self->tensor.impl())
->IsInitialized());
} else if (self->tensor.is_dist_tensor()) {
return ToPyObject(
static_cast<phi::distributed::DistTensor*>(self->tensor.impl().get())
->value()
.IsInitialized());
} else {
return ToPyObject(false);
}
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35 changes: 24 additions & 11 deletions python/paddle/tensor/to_string.py
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Original file line number Diff line number Diff line change
Expand Up @@ -363,17 +363,30 @@ def dist_tensor_to_string(tensor, prefix='Tensor'):
if tensor.dtype == core.VarDesc.VarType.BF16:
dtype = 'bfloat16'

_template = "{prefix}(shape={shape}, dtype={dtype}, place={place}, stop_gradient={stop_gradient}, dist_attr={dist_attr},\n{indent}{data})"
return _template.format(
prefix=prefix,
shape=tensor.shape,
dtype=dtype,
place=tensor._place_str,
stop_gradient=tensor.stop_gradient,
dist_attr=tensor.dist_attr,
indent=' ' * indent,
data=None,
)
if not tensor._is_dense_tensor_hold_allocation():
_template = "{prefix}(shape={shape}, dtype={dtype}, place={place}, stop_gradient={stop_gradient}, dist_attr={dist_attr}, GlobalDenseTensor Not initialized)"
return _template.format(
prefix=prefix,
shape=tensor.shape,
dtype=dtype,
place=tensor._place_str,
stop_gradient=tensor.stop_gradient,
dist_attr=tensor.dist_attr,
)
else:
indent = len(prefix) + 1
data = _format_dense_tensor(tensor, indent)
_template = "{prefix}(shape={shape}, dtype={dtype}, place={place}, stop_gradient={stop_gradient}, dist_attr={dist_attr}, GlobalDenseTensor=\n{indent}{data})"
return _template.format(
prefix=prefix,
shape=tensor.shape,
dtype=dtype,
place=tensor._place_str,
stop_gradient=tensor.stop_gradient,
dist_attr=tensor.dist_attr,
indent=' ' * indent,
data=data,
)


def tensor_to_string(tensor, prefix='Tensor'):
Expand Down