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!15604 fix ci alarm on master 

From: @TFbunny
Reviewed-by: @tom__chen,@robingrosman
Signed-off-by: @robingrosman
This commit is contained in:
mindspore-ci-bot 2021-04-27 04:18:17 +08:00 committed by Gitee
parent a92fbfe4d9 947318d4e0
commit d3df7ec7b5
2 changed files with 11 additions and 11 deletions
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18
mindspore/core/abstract/prim_arrays.cc
View File

@ -403,7 +403,7 @@ AbstractBasePtr InferImplScatterAdd(const AnalysisEnginePtr &, const PrimitivePt
ShapeVector shape = x->shape()->shape();
ShapeVector min_shape = x->shape()->min_shape();
ShapeVector max_shape = x->shape()->max_shape();
(void)CheckMinMaxShape(shape, &min_shape, &max_shape);
CheckMinMaxShape(shape, &min_shape, &max_shape);
return std::make_shared<AbstractTensor>(x->element(), std::make_shared<Shape>(shape, min_shape, max_shape));
}
@ -417,7 +417,7 @@ AbstractBasePtr InferImplScatterUpdate(const AnalysisEnginePtr &, const Primitiv
ShapeVector shape = x->shape()->shape();
ShapeVector min_shape = x->shape()->min_shape();
ShapeVector max_shape = x->shape()->max_shape();
(void)CheckMinMaxShape(shape, &min_shape, &max_shape);
CheckMinMaxShape(shape, &min_shape, &max_shape);
return std::make_shared<AbstractTensor>(x->element(), std::make_shared<Shape>(shape, min_shape, max_shape));
}
@ -774,7 +774,7 @@ AbstractBasePtr InferImplTranspose(const AnalysisEnginePtr &, const PrimitivePtr
ShapeVector min_shp;
ShapeVector x_max_shp = input->shape()->max_shape();
ShapeVector x_min_shp = input->shape()->min_shape();
(void)CheckMinMaxShape(input_shp, &x_min_shp, &x_max_shp);
CheckMinMaxShape(input_shp, &x_min_shp, &x_max_shp);
for (size_t i = 0; i < perm_vec.size(); i++) {
auto idx = static_cast<size_t>(perm_vec[i]);
result_shp.push_back(input_shp[idx]);
@ -984,7 +984,7 @@ 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();
(void)CheckMinMaxShape(shape_base, &min_shape_base, &max_shape_base);
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)));
@ -1009,7 +1009,7 @@ 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();
(void)CheckMinMaxShape(shape_tensor, &min_shape_tensor, &max_shape_tensor);
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";
@ -1033,7 +1033,7 @@ 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();
(void)CheckMinMaxShape(shape, &min_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;
@ -1107,13 +1107,13 @@ AbstractBasePtr InferImplArgMaxWithValue(const AnalysisEnginePtr &, const Primit
};
// main calculate shape func
auto cal_shape = [axis, keep_dims_value, check_axis](ShapeVector &shape, const ShapeVector &x_shape) -> void {
shape.insert(shape.end(), x_shape.begin(), x_shape.end());
(void)shape.insert(shape.end(), x_shape.begin(), x_shape.end());
auto axis_value = GetValue<int64_t>(axis);
check_axis(axis_value, x_shape.size());
if (keep_dims_value) {
shape[axis_value] = 1;
} else {
shape.erase(std::begin(shape) + axis_value);
(void)shape.erase(std::begin(shape) + axis_value);
}
};
ShapeVector shape = {};
@ -1122,7 +1122,7 @@ AbstractBasePtr InferImplArgMaxWithValue(const AnalysisEnginePtr &, const Primit
ShapeVector x_shape = x->shape()->shape();
ShapeVector x_min_shape = x->shape()->min_shape();
ShapeVector x_max_shape = x->shape()->max_shape();
(void)CheckMinMaxShape(x_shape, &x_min_shape, &x_max_shape);
CheckMinMaxShape(x_shape, &x_min_shape, &x_max_shape);
cal_shape(shape, x_shape);
cal_shape(min_shape, x_min_shape);
cal_shape(max_shape, x_max_shape);

4
mindspore/core/abstract/prim_nn.cc
View File

@ -382,7 +382,7 @@ AbstractBasePtr InferImplBiasAdd(const AnalysisEnginePtr &, const PrimitivePtr &
MS_LOG(EXCEPTION) << "BiasAdd shape error, data format is " << data_format
<< ", got bias_shape[0]: " << bias_shape[0] << ", x_channel: " << x_channel << ".";
}
(void)CheckMinMaxShape(x_shape, &x_min_shape, &x_max_shape);
CheckMinMaxShape(x_shape, &x_min_shape, &x_max_shape);
return std::make_shared<AbstractTensor>(x->element(), std::make_shared<Shape>(x_shape, x_min_shape, x_max_shape));
}
@ -537,7 +537,7 @@ AbstractBasePtr InferImplDropout(const AnalysisEnginePtr &, const PrimitivePtr &
ShapeVector shape = x->shape()->shape();
ShapeVector min_shape = x->shape()->min_shape();
ShapeVector max_shape = x->shape()->max_shape();
(void)CheckMinMaxShape(shape, &min_shape, &max_shape);
CheckMinMaxShape(shape, &min_shape, &max_shape);
auto output_shape =
std::make_shared<AbstractTensor>(x->element(), std::make_shared<Shape>(shape, min_shape, max_shape));
AbstractBasePtrList ret = {output_shape, output_shape};