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体验新版 GitCode,发现更多精彩内容 >>
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1bd047e2
编写于
7月 21, 2020
作者:
P
panyifeng
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差异文件
eager mode enable sparse
上级
7fbed0ce
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
12 addition
and
7 deletion
+12
-7
mindspore/ccsrc/pipeline/jit/static_analysis/prim.cc
mindspore/ccsrc/pipeline/jit/static_analysis/prim.cc
+2
-1
mindspore/common/tensor.py
mindspore/common/tensor.py
+10
-6
未找到文件。
mindspore/ccsrc/pipeline/jit/static_analysis/prim.cc
浏览文件 @
1bd047e2
...
...
@@ -150,7 +150,8 @@ PrimitiveEvalImplMap &GetPrimitiveToEvalImplMap() {
using
mindspore
::
parse
::
PyObjectWrapper
;
EvalResultPtr
StandardPrimEvaluator
::
EvalPrim
(
const
AnalysisEnginePtr
&
engine
,
const
AbstractBasePtrList
&
args
)
{
if
(
prim_
!=
prim
::
kPrimMakeTuple
&&
prim_
!=
prim
::
kPrimSwitch
)
{
if
(
prim_
!=
prim
::
kPrimMakeTuple
&&
prim_
!=
prim
::
kPrimSwitch
&&
prim_
!=
prim
::
kPrimEnvSetItem
&&
prim_
!=
prim
::
kPrimEnvGetItem
)
{
auto
ret_abstract
=
AbstractEval
(
args
);
if
(
ret_abstract
!=
nullptr
)
{
MS_LOG
(
DEBUG
)
<<
"StandardPrimEvaluator eval Undetermined"
;
...
...
mindspore/common/tensor.py
浏览文件 @
1bd047e2
...
...
@@ -217,17 +217,20 @@ class IndexedSlices:
A sparse representation of a set of tensor slices at given indices.
An IndexedSlices is typically used to represent a subset of a larger
tensor dense of shape [LARGE0, D1, .. , DN] where LARGE0 >> D0.
tensor dense of shape [L0, D1, .. , DN] where L0 >> D0.
The values in indices are the indices in the first dimension of the slices
that have been extracted from the larger tensor.
that have been extracted from the larger tensor.
The dense tensor dense represented by an IndexedSlices slices has
`dense[slices.indices[i], :, :, :, ...] = slices.values[i, :, :, :, ...]`.
`dense[slices.indices[i], :, :, :, ...] = slices.values[i, :, :, :, ...]`.
IndexedSlices can only be used in `Cell`'s contruct method.
Args:
indices (Tensor): A 1-D integer Tensor of shape [D0].
values (Tensor): A Tensor of any dtype of shape [D0, D1, ..., Dn].
dense_shape
:
(tuple): A integer tuple containing the shape
dense_shape (tuple): A integer tuple containing the shape
of the corresponding dense tensor.
Returns:
...
...
@@ -254,8 +257,9 @@ class SparseTensor:
A sparse representation of a set of nonzero elememts from a tensor at given indices.
SparseTensor can only be used in `Cell`'s contruct method.
For a tensor dense, its SparseTensor(indices, values, dense_shape) has
`dense[indices[i]] = values[i]`.
`dense[indices[i]] = values[i]`.
Args:
indices (Tensor): A 2-D integer Tensor of shape `[N, ndims]`,
...
...
@@ -263,7 +267,7 @@ class SparseTensor:
the SparseTensor, respectively.
values (Tensor): A 1-D tensor of any type and shape `[N]`, which
supplies the values for each element in indices.
dense_shape
:
(tuple): A integer tuple of size `ndims`,
dense_shape (tuple): A integer tuple of size `ndims`,
which specifies the dense_shape of the sparse tensor.
Returns:
...
...
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