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add transformer mindspore fix

This commit is contained in:
zhangdong 2022-07-21 10:02:20 +08:00
parent cf07fbc41b
commit 30800bb017
32 changed files with 252 additions and 253 deletions
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1
.jenkins/check/config/whitelizard.txt
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@ -204,3 +204,4 @@ mindspore/mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/fp32/conv_winograd_fp32
mindspore/mindspore/ccsrc/plugin/device/ascend/optimizer/ir_fusion/lamb_next_mv_with_decay_v1_rule.cc:mindspore::opt::MatchAdd5Pattern
mindspore/mindspore/ccsrc/plugin/device/cpu/kernel/nnacl/experimental/conv_fp32_nchwx_avx512.c:conv2d_compute_fp32_nchwx_avx512
mindspore/mindspore/lite/src/litert/kernel/cpu/control/tensorlist_setitem.cc:mindspore::kernel::TensorListSetItemCPUKernel::Run
mindspore/mindspore/python/mindspore/ops/_utils/utils.py:get_broadcast_shape

4
mindspore/ccsrc/plugin/device/gpu/kernel/nn/softmax_grad_gpu_kernel.h
View File

@ -114,6 +114,10 @@ class SoftmaxGradGpuKernelMod : public DeprecatedNativeGpuKernelMod {
MS_LOG(EXCEPTION) << "For '" << kernel_name_ << "', the number of outputs must be 1, but got " << output_num;
}
auto temp_shape = common::AnfAlgo::GetPrevNodeOutputInferShape(kernel_node, 0);
if (AnfAlgo::IsShapesDynamic({temp_shape})) {
InitSizeLists();
return true;
}
std::vector<size_t> input_shape(temp_shape.begin(), temp_shape.end());
auto axis = static_cast<int>(GetAttr<int64_t>(kernel_node, "axis"));
if (axis == -1 || axis == SizeToInt(input_shape.size())) {

3
mindspore/core/abstract/ops/prim_arrays.cc
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@ -995,7 +995,6 @@ AbstractBasePtr InferImplConcat(const AnalysisEnginePtr &, const PrimitivePtr &p
int64_t rank_base = SizeToLong(shape_base.size());
ShapeVector min_shape_base = tensor_base->shape()->min_shape();
ShapeVector max_shape_base = tensor_base->shape()->max_shape();
CheckMinMaxShape(shape_base, &min_shape_base, &max_shape_base);
primitive->set_attr("T", tensor_base->element()->BuildType());
primitive->set_attr("inputNums", MakeValue(SizeToLong(tuple_len)));
@ -1018,7 +1017,6 @@ AbstractBasePtr InferImplConcat(const AnalysisEnginePtr &, const PrimitivePtr &p
int64_t rank_tensor = SizeToLong(shape_tensor.size());
ShapeVector min_shape_tensor = tensor->shape()->min_shape();
ShapeVector max_shape_tensor = tensor->shape()->max_shape();
CheckMinMaxShape(shape_tensor, &min_shape_tensor, &max_shape_tensor);
(void)CheckDtypeSame(op_name, tensor_base, tensor);
if (rank_tensor != rank_base) {
MS_LOG(EXCEPTION) << op_name << " can not concat element " << i << " with the first element: Wrong Rank";
@ -1042,7 +1040,6 @@ AbstractBasePtr InferImplConcat(const AnalysisEnginePtr &, const PrimitivePtr &p
auto shape = ret->shape()->shape();
auto min_shape = ret->shape()->min_shape();
auto max_shape = ret->shape()->max_shape();
CheckMinMaxShape(shape, &min_shape, &max_shape);
shape[axis_value] = all_shp;
min_shape[axis_value] = min_all_shp;
max_shape[axis_value] = max_all_shp;

1
mindspore/core/abstract/ops/prim_nn.cc
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@ -308,7 +308,6 @@ AbstractBasePtr InferImplBiasDropoutAdd(const abstract::AnalysisEnginePtr &, con
ShapeVector shape = x->shape()->shape();
ShapeVector min_shape = x->shape()->min_shape();
ShapeVector max_shape = x->shape()->max_shape();
CheckAndConvertUtils::CheckMinMaxShape(shape, &min_shape, &max_shape);
auto output_shape = std::make_shared<abstract::AbstractTensor>(
x->element(), std::make_shared<abstract::Shape>(shape, min_shape, max_shape));
AbstractBasePtrList ret = {output_shape, output_shape};

1
mindspore/core/ops/unsorted_segment_sum.cc
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@ -35,7 +35,6 @@ abstract::ShapePtr UnsortedSegmentSumInferShape(const PrimitivePtr &primitive,
auto x_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[0]->BuildShape())[kShape];
auto x_min_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[0]->BuildShape())[kMinShape];
auto x_max_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[0]->BuildShape())[kMaxShape];
CheckAndConvertUtils::CheckMinMaxShape(x_shape, &x_min_shape, &x_max_shape);
auto x_shape_rank = SizeToLong(x_shape.size());
(void)CheckAndConvertUtils::CheckInteger("input_x size", x_shape_rank, kGreaterThan, 0, op_name);
auto segment_ids_shape = CheckAndConvertUtils::ConvertShapePtrToShapeMap(input_args[1]->BuildShape())[kShape];

2
mindspore/python/mindspore/ops/_grad/grad_math_ops.py
View File

@ -180,7 +180,7 @@ def _dyn_reduced_shape(input_shape, axis):
for i in axis:
real_axis += ((i + input_rank) % input_rank,)
axis_shape = (len(real_axis),)
return DynamicStitch()([to_array(range(input_rank)), to_array(axis)],
return DynamicStitch()([to_array(range(input_rank)), to_array(real_axis)],
[input_shape, P.Fill()(ms.int32, axis_shape, 1)])

3
mindspore/python/mindspore/ops/_utils/utils.py
View File

@ -61,6 +61,9 @@ def get_broadcast_shape(x_shape, y_shape, prim_name, shape_type="", arg_name1="x
broadcast_shape_back.append(x_shape[i])
elif x_shape[i] == y_shape[i]:
broadcast_shape_back.append(x_shape[i])
elif (x_shape[i] == -1 and y_shape[i] != -1 and y_shape[i] != 1) or \
(y_shape[i] == -1 and x_shape[i] != -1 and x_shape[i] != 1):
broadcast_shape_back.append(max(x_shape[i], y_shape[i]))
elif x_shape[i] == -1 or y_shape[i] == -1:
broadcast_shape_back.append(-1)
else:

28
mindspore/python/mindspore/ops/bprop_mindir/ApproximateEqual_bprop.mindir
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@ -1,20 +1,20 @@
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bprop.12:ybprop.12:[CNode]14:3bprop.12:[CNode]14:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:-Default/S-Prim-hyper_map[zeros_like_leaf]-op9
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bprop.31:[CNode]32:1
bprop.31:[CNode]33:3bprop.31:[CNode]34:4bprop.31:[CNode]34:4"REF::S-Prim-MakeTuple:5:Default/S-Prim-MakeTuple-op23bprop.31*
bprop.12:[CNode]13:1
bprop.12:[CNode]14:3bprop.12:[CNode]15:4bprop.12:[CNode]15:4"REF::S-Prim-MakeTuple:5:Default/S-Prim-MakeTuple-op10bprop.12*
bprop.31:x*
bprop.12:x*
bprop.31:y*
bprop.31:out*
bprop.31:dout2
bprop.31:[CNode]34:4:@fdede69709904c01691843e70cf6c5b0e5655f5e83a7ec72516c5cde5272b0e4PbH
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
S-Prim-MakeTuple:5S-Prim-MakeTupleh
bprop.12:y*
bprop.12:out*
bprop.12:dout2
bprop.12:[CNode]15:4:@1bd2dbdf4be3507b9b4edda63675968c63a3fc7b6aefb516020b2fc1163cd59fPb&
S-Prim-MakeTuple:5S-Prim-MakeTuplebH
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]h

34
mindspore/python/mindspore/ops/bprop_mindir/AssignAdd_bprop.mindir
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@ -1,20 +1,16 @@
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bprop.20:xbprop.20:[CNode]21:1bprop.20:[CNode]21:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op13
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bprop.20:[CNode]21:1
bprop.20:[CNode]22:3bprop.20:[CNode]23:4bprop.20:[CNode]23:4"REF::S-Prim-MakeTuple:5:Default/S-Prim-MakeTuple-op15bprop.20*
bprop.20:x*
bprop.20:y*
bprop.20:out*
bprop.20:dout2
bprop.20:[CNode]23:4:@fdede69709904c01691843e70cf6c5b0e5655f5e83a7ec72516c5cde5272b0e4Pb&
S-Prim-MakeTuple:5S-Prim-MakeTuplebH
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bprop.1:[CNode]3:3bprop.1:[CNode]4:4bprop.1:[CNode]4:4"REF::S-Prim-MakeTuple:5:Default/S-Prim-MakeTuple-op2bprop.1*
bprop.1:x*
bprop.1:y*
bprop.1:out*
bprop.1:dout2
bprop.1:[CNode]4:4:@1bd2dbdf4be3507b9b4edda63675968c63a3fc7b6aefb516020b2fc1163cd59fPbH
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]b&
S-Prim-MakeTuple:5S-Prim-MakeTupleh

34
mindspore/python/mindspore/ops/bprop_mindir/AssignSub_bprop.mindir
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@ -1,20 +1,16 @@
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bprop.24:[CNode]25:1
bprop.24:[CNode]26:3bprop.24:[CNode]27:4bprop.24:[CNode]27:4"REF::S-Prim-MakeTuple:5:Default/S-Prim-MakeTuple-op18bprop.24*
bprop.24:x*
bprop.24:y*
bprop.24:out*
bprop.24:dout2
bprop.24:[CNode]27:4:@fdede69709904c01691843e70cf6c5b0e5655f5e83a7ec72516c5cde5272b0e4PbH
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bprop.5:x*
bprop.5:y*
bprop.5:out*
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bprop.5:[CNode]8:4:@1bd2dbdf4be3507b9b4edda63675968c63a3fc7b6aefb516020b2fc1163cd59fPb&
S-Prim-MakeTuple:5S-Prim-MakeTuplebH
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]h

18
mindspore/python/mindspore/ops/bprop_mindir/Equal_bprop.mindir
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@ -2,19 +2,19 @@
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bprop.30:xbprop.30:[CNode]31:1bprop.30:[CNode]31:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op21
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bprop.59:ybprop.59:[CNode]61:3bprop.59:[CNode]61:3"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op43
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bprop.59:x*
bprop.30:x*
bprop.59:y*
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bprop.59:dout2
bprop.59:[CNode]62:4:@fdede69709904c01691843e70cf6c5b0e5655f5e83a7ec72516c5cde5272b0e4Pb&
bprop.30:y*
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bprop.30:[CNode]33:4:@1bd2dbdf4be3507b9b4edda63675968c63a3fc7b6aefb516020b2fc1163cd59fPb&
S-Prim-MakeTuple:5S-Prim-MakeTuplebH
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]h

34
mindspore/python/mindspore/ops/bprop_mindir/FloorDiv_bprop.mindir
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@ -1,16 +1,20 @@
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bprop.141:[CNode]144:4:@fdede69709904c01691843e70cf6c5b0e5655f5e83a7ec72516c5cde5272b0e4PbH
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18
mindspore/python/mindspore/ops/bprop_mindir/GreaterEqual_bprop.mindir
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@ -2,19 +2,19 @@
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bprop.71:dout2
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bprop.42:y*
bprop.42:out*
bprop.42:dout2
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S-Prim-MakeTuple:5S-Prim-MakeTuplebH
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]h

22
mindspore/python/mindspore/ops/bprop_mindir/Greater_bprop.mindir
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@ -2,19 +2,19 @@
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bprop.38:x*
bprop.67:y*
bprop.67:out*
bprop.67:dout2
bprop.67:[CNode]70:4:@fdede69709904c01691843e70cf6c5b0e5655f5e83a7ec72516c5cde5272b0e4PbH
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bprop.38:[CNode]41:4:@1bd2dbdf4be3507b9b4edda63675968c63a3fc7b6aefb516020b2fc1163cd59fPb&
S-Prim-MakeTuple:5S-Prim-MakeTuplebH
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]h

20
mindspore/python/mindspore/ops/bprop_mindir/IsFinite_bprop.mindir
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@ -1,14 +1,12 @@
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bprop.28:x*
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bprop.9:x*
bprop.9:out*
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mindspore/python/mindspore/ops/bprop_mindir/IsInf_bprop.mindir
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mindspore/python/mindspore/ops/bprop_mindir/IsNan_bprop.mindir
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mindspore/python/mindspore/ops/bprop_mindir/LessEqual_bprop.mindir
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18
mindspore/python/mindspore/ops/bprop_mindir/Less_bprop.mindir
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mindspore/python/mindspore/ops/bprop_mindir/LinSpace_bprop.mindir
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mindspore/python/mindspore/ops/bprop_mindir/LogicalAnd_bprop.mindir
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mindspore/python/mindspore/ops/bprop_mindir/LogicalNot_bprop.mindir
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22
mindspore/python/mindspore/ops/bprop_mindir/LogicalOr_bprop.mindir
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mindspore/python/mindspore/ops/bprop_mindir/Maximum_bprop.mindir
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mindspore/python/mindspore/ops/bprop_mindir/Minimum_bprop.mindir
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18
mindspore/python/mindspore/ops/bprop_mindir/NotEqual_bprop.mindir
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mindspore/python/mindspore/ops/bprop_mindir/ReduceAll_bprop.mindir
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mindspore/python/mindspore/ops/bprop_mindir/ReduceAny_bprop.mindir
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S-Prim-MakeTuple:5S-Prim-MakeTuplebH
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]h
bprop.66:x*
bprop.66:axis*
bprop.66:out*
bprop.66:dout2
bprop.66:[CNode]69:4:@1bd2dbdf4be3507b9b4edda63675968c63a3fc7b6aefb516020b2fc1163cd59fPbH
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S-Prim-MakeTuple:5S-Prim-MakeTupleh

12
mindspore/python/mindspore/ops/bprop_mindir/Round_bprop.mindir
View File

@ -2,13 +2,13 @@
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bprop.41:xbprop.41:[CNode]42:1bprop.41:[CNode]42:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op28
bprop.22:xbprop.22:[CNode]23:1bprop.22:[CNode]23:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op15
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bprop.41:[CNode]42:1bprop.41:[CNode]43:3bprop.41:[CNode]43:3"REF::S-Prim-MakeTuple:4:Default/S-Prim-MakeTuple-op29bprop.41*
bprop.22:[CNode]23:1bprop.22:[CNode]24:3bprop.22:[CNode]24:3"REF::S-Prim-MakeTuple:4:Default/S-Prim-MakeTuple-op16bprop.22*
bprop.41:x*
bprop.41:out*
bprop.41:dout2
bprop.41:[CNode]43:3:@fdede69709904c01691843e70cf6c5b0e5655f5e83a7ec72516c5cde5272b0e4PbH
bprop.22:x*
bprop.22:out*
bprop.22:dout2
bprop.22:[CNode]24:3:@1bd2dbdf4be3507b9b4edda63675968c63a3fc7b6aefb516020b2fc1163cd59fPbH
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S-Prim-MakeTuple:4S-Prim-MakeTupleh

12
mindspore/python/mindspore/ops/bprop_mindir/Sign_bprop.mindir
View File

@ -2,13 +2,13 @@
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bprop.35:xbprop.35:[CNode]36:1bprop.35:[CNode]36:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op24
bprop.16:xbprop.16:[CNode]17:1bprop.16:[CNode]17:1"(REF::S-Prim-hyper_map[zeros_like_leaf]:2:.Default/S-Prim-hyper_map[zeros_like_leaf]-op11
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bprop.35:[CNode]36:1bprop.35:[CNode]37:3bprop.35:[CNode]37:3"REF::S-Prim-MakeTuple:4:Default/S-Prim-MakeTuple-op25bprop.35*
bprop.16:[CNode]17:1bprop.16:[CNode]18:3bprop.16:[CNode]18:3"REF::S-Prim-MakeTuple:4:Default/S-Prim-MakeTuple-op12bprop.16*
bprop.35:x*
bprop.35:out*
bprop.35:dout2
bprop.35:[CNode]37:3:@fdede69709904c01691843e70cf6c5b0e5655f5e83a7ec72516c5cde5272b0e4PbH
bprop.16:x*
bprop.16:out*
bprop.16:dout2
bprop.16:[CNode]18:3:@1bd2dbdf4be3507b9b4edda63675968c63a3fc7b6aefb516020b2fc1163cd59fPbH
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S-Prim-MakeTuple:4S-Prim-MakeTupleh

30
mindspore/python/mindspore/ops/bprop_mindir/TruncateDiv_bprop.mindir
View File

@ -1,16 +1,20 @@
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bprop.145:x*
bprop.145:y*
bprop.145:out*
bprop.145:dout2
bprop.145:[CNode]148:4:@fdede69709904c01691843e70cf6c5b0e5655f5e83a7ec72516c5cde5272b0e4Pb&
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bprop.74:x*
bprop.74:y*
bprop.74:out*
bprop.74:dout2
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S-Prim-MakeTuple:5S-Prim-MakeTuplebH
#S-Prim-hyper_map[zeros_like_leaf]:2!S-Prim-hyper_map[zeros_like_leaf]h

6
mindspore/python/mindspore/train/dataset_helper.py
View File

@ -138,12 +138,6 @@ def _check_inputs(network, dataset_shapes):
Check if set inputs are correct.
"""
network_shapes = network.get_inputs()
dataset_inputs_len = len(dataset_shapes)
network_inputs_len = len(network_shapes)
if network_inputs_len != dataset_inputs_len:
raise ValueError(
f"For 'set_inputs', the Length of Tensor must be {dataset_inputs_len}, but got {network_inputs_len}"
)
for tensor_index, ele_dataset_shape in enumerate(dataset_shapes):
set_inputs_shape = list(network_shapes[tensor_index].shape)
inputs_shape = list(ele_dataset_shape)