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add LiteKernel quant_type

This commit is contained in:
albert-yan 2022-02-23 17:34:36 +08:00
parent 0ade79cb84
commit 14b9f5797d
31 changed files with 108 additions and 81 deletions
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5
include/api/kernel.h
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@ -96,6 +96,10 @@ class MS_API Kernel {
///
/// \return kernel's type.
virtual schema::PrimitiveType type() const { return type_; }
/// \brief obtain kernel's quant type.
///
/// \return kernel's quant type.
virtual schema::QuantType quant_type() const { return quant_type_; }
/// \brief obtain the primitive of kernel generated by flatbuffers.
///
/// \return the primitive of kernel generated by flatbuffers.
@ -147,6 +151,7 @@ class MS_API Kernel {
const schema::Primitive *primitive_ = nullptr;
std::map<std::string, std::string> attrs_;
const std::map<std::string, std::map<std::string, std::string>> *config_;
schema::QuantType quant_type_ = schema::QuantType_QUANT_NONE;
private:
void Initialize();

5
mindspore/lite/src/delegate/tensorrt/op/activation_tensorrt.h
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@ -23,8 +23,9 @@ namespace mindspore::lite {
class ActivationTensorRT : public TensorRTOp {
public:
ActivationTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~ActivationTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/allgather_tensorrt.h
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@ -26,8 +26,9 @@ namespace mindspore::lite {
class AllGatherTensorRT : public TensorRTOp {
public:
AllGatherTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~AllGatherTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/cast_tensorrt.h
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@ -24,8 +24,9 @@ namespace mindspore::lite {
class CastTensorRT : public TensorRTOp {
public:
CastTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~CastTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/concate_tensorrt.h
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@ -23,8 +23,9 @@ namespace mindspore::lite {
class ConcateTensorRT : public TensorRTOp {
public:
ConcateTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~ConcateTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/convolution_tensorrt.h
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@ -23,8 +23,9 @@ namespace mindspore::lite {
class ConvolutionTensorRT : public TensorRTOp {
public:
ConvolutionTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~ConvolutionTensorRT() override;

5
mindspore/lite/src/delegate/tensorrt/op/deconvolution_tensorrt.h
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@ -23,8 +23,9 @@ namespace mindspore::lite {
class DeconvolutionTensorRT : public TensorRTOp {
public:
DeconvolutionTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~DeconvolutionTensorRT() override;

5
mindspore/lite/src/delegate/tensorrt/op/elementwise_tensorrt.h
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@ -24,8 +24,9 @@ namespace mindspore::lite {
class ElementWiseTensorRT : public TensorRTOp {
public:
ElementWiseTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~ElementWiseTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/equal_tensorrt.h
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@ -24,8 +24,9 @@ namespace mindspore::lite {
class EqualTensorRT : public TensorRTOp {
public:
EqualTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~EqualTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/fullyconnected_tensorrt.h
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@ -25,8 +25,9 @@ namespace mindspore::lite {
class FullyConnectedTensorRT : public TensorRTOp {
public:
FullyConnectedTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~FullyConnectedTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/gather_tensorrt.h
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@ -23,8 +23,9 @@ namespace mindspore::lite {
class GatherTensorRT : public TensorRTOp {
public:
GatherTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~GatherTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/lstm_tensorrt.h
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@ -61,8 +61,9 @@ struct LstmWeights {
class LSTMTensorRT : public TensorRTOp {
public:
LSTMTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~LSTMTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/matmul_tensorrt.h
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@ -25,8 +25,9 @@ namespace mindspore::lite {
class MatMulTensorRT : public TensorRTOp {
public:
MatMulTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~MatMulTensorRT() override;

5
mindspore/lite/src/delegate/tensorrt/op/pad_tensorrt.h
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@ -23,8 +23,9 @@ namespace mindspore::lite {
class PadTensorRT : public TensorRTOp {
public:
PadTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~PadTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/pool_tensorrt.h
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@ -23,8 +23,9 @@ namespace mindspore::lite {
class PoolTensorRT : public TensorRTOp {
public:
PoolTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~PoolTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/reduce_tensorrt.h
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@ -25,8 +25,9 @@ namespace mindspore::lite {
class ReduceTensorRT : public TensorRTOp {
public:
ReduceTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~ReduceTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/reducescatter_tensorrt.h
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@ -27,8 +27,9 @@ namespace mindspore::lite {
class ReduceScatterTensorRT : public TensorRTOp {
public:
ReduceScatterTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~ReduceScatterTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/resize_tensorrt.h
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@ -25,8 +25,9 @@ namespace mindspore::lite {
class ResizeTensorRT : public TensorRTOp {
public:
ResizeTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~ResizeTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/scale_tensorrt.h
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@ -25,8 +25,9 @@ namespace mindspore::lite {
class ScaleTensorRT : public TensorRTOp {
public:
ScaleTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~ScaleTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/shape_tensorrt.h
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@ -23,8 +23,9 @@ namespace mindspore::lite {
class ShapeTensorRT : public TensorRTOp {
public:
ShapeTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~ShapeTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/shuffle_tensorrt.h
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@ -24,8 +24,9 @@ namespace mindspore::lite {
class ShuffleTensorRT : public TensorRTOp {
public:
ShuffleTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~ShuffleTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/slice_tensorrt.h
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@ -26,8 +26,9 @@ constexpr int AXIS_INDEX = 3;
class SliceTensorRT : public TensorRTOp {
public:
SliceTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~SliceTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/softmax_tensorrt.h
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@ -23,8 +23,9 @@ namespace mindspore::lite {
class SoftMaxTensorRT : public TensorRTOp {
public:
SoftMaxTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~SoftMaxTensorRT() override = default;

12
mindspore/lite/src/delegate/tensorrt/op/tensorrt_op.cc
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@ -37,6 +37,8 @@ std::vector<mindspore::MSTensor> &TensorRTOp::outputs() { return this->out_tenso
schema::PrimitiveType TensorRTOp::type() const { return this->type_; }
schema::QuantType TensorRTOp::GetQuantType() const { return this->quant_type_; }
void TensorRTOp::set_in_ops(const std::vector<TensorRTOp *> &in_ops) { this->in_ops_ = in_ops; }
void TensorRTOp::set_out_ops(const std::vector<TensorRTOp *> &out_ops) { this->out_ops_ = out_ops; }
@ -74,10 +76,16 @@ int TensorRTOp::SetInt8DynamicRange() {
MS_LOG(ERROR) << "input or output tensor empty.";
return RET_ERROR;
}
if (in_tensors_[0].QuantParams().empty() || out_tensors_[0].QuantParams().empty()) {
MS_LOG(INFO) << op_name_ << " quant param is empty.";
if (quant_type_ != schema::QuantType_QUANT_ALL) {
MS_LOG(INFO) << "op " << op_name_ << " not quantized.";
return RET_OK;
}
if (in_tensors_[0].QuantParams().empty() || out_tensors_[0].QuantParams().empty()) {
MS_LOG(WARNING) << op_name_ << " quant param is empty.";
MS_LOG(WARNING) << "in_tensor quant param size: " << in_tensors_[0].QuantParams().size()
<< " ,out_tensor quant param size: " << out_tensors_[0].QuantParams().size();
}
for (size_t i = 0; i < in_tensors_.size(); i++) {
auto tensor = in_tensors_.at(i);
if (!tensor.IsConst()) {

14
mindspore/lite/src/delegate/tensorrt/op/tensorrt_op.h
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@ -55,11 +55,12 @@ class TensorRTRuntime;
class TensorRTOp {
public:
explicit TensorRTOp(const schema::Primitive *primitive, std::vector<mindspore::MSTensor> in_tensors,
std::vector<mindspore::MSTensor> out_tensors, std::string name)
std::vector<mindspore::MSTensor> out_tensors, std::string name, schema::QuantType quant_type)
: op_primitive_(primitive),
in_tensors_(std::move(in_tensors)),
out_tensors_(std::move(out_tensors)),
op_name_(std::move(name)) {
op_name_(std::move(name)),
quant_type_(quant_type) {
if (primitive != nullptr) {
this->type_ = primitive->value_type();
}
@ -94,6 +95,8 @@ class TensorRTOp {
schema::PrimitiveType type() const;
schema::QuantType GetQuantType() const;
void set_in_ops(const std::vector<TensorRTOp *> &in_ops);
void set_out_ops(const std::vector<TensorRTOp *> &out_ops);
@ -136,6 +139,8 @@ class TensorRTOp {
schema::PrimitiveType type_ = schema::PrimitiveType_NONE;
schema::QuantType quant_type_ = schema::QuantType_QUANT_NONE;
std::vector<BindingHelper> op_binding_tensor_;
TensorRTRuntime *runtime_{nullptr};
@ -145,8 +150,9 @@ class TensorRTOp {
template <class T>
TensorRTOp *GetTensorRTOp(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name) {
auto *op = new (std::nothrow) T(primitive, in_tensors, out_tensors, name);
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type) {
auto *op = new (std::nothrow) T(primitive, in_tensors, out_tensors, name, quant_type);
if (op == nullptr) {
MS_LOG(WARNING) << "TensorRT is nullptr.";
return nullptr;

5
mindspore/lite/src/delegate/tensorrt/op/topk_tensorrt.h
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@ -24,8 +24,9 @@ namespace mindspore::lite {
class TopKTensorRT : public TensorRTOp {
public:
TopKTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~TopKTensorRT() override = default;

5
mindspore/lite/src/delegate/tensorrt/op/unary_tensorrt.h
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@ -24,8 +24,9 @@ namespace mindspore::lite {
class UnaryTensorRT : public TensorRTOp {
public:
UnaryTensorRT(const schema::Primitive *primitive, const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name)
: TensorRTOp(primitive, in_tensors, out_tensors, name) {}
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type)
: TensorRTOp(primitive, in_tensors, out_tensors, name, quant_type) {}
~UnaryTensorRT() override = default;

2
mindspore/lite/src/delegate/tensorrt/tensorrt_delegate.cc
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@ -242,7 +242,7 @@ TensorRTOp *TensorRTDelegate::FindTensorRTOp(kernel::Kernel *kernel, const schem
auto name = kernel->name();
auto node_type = primitive->value_type();
if (op_func_lists_.find(node_type) != op_func_lists_.end()) {
TensorRTOp *tensorrt_op = op_func_lists_[node_type](primitive, in_tensors, out_tensors, name);
TensorRTOp *tensorrt_op = op_func_lists_[node_type](primitive, in_tensors, out_tensors, name, kernel->quant_type());
if (tensorrt_op == nullptr) {
return nullptr;
}

3
mindspore/lite/src/delegate/tensorrt/tensorrt_delegate.h
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@ -31,7 +31,8 @@
namespace mindspore::lite {
typedef TensorRTOp *(*TensorRTGetOp)(const schema::Primitive *primitive,
const std::vector<mindspore::MSTensor> &in_tensors,
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name);
const std::vector<mindspore::MSTensor> &out_tensors, const std::string &name,
const schema::QuantType &quant_type);
class TensorRTDelegate : public Delegate {
public:

28
mindspore/lite/src/delegate/tensorrt/tensorrt_subgraph.cc
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@ -144,34 +144,12 @@ int TensorRTSubGraph::SetDeviceConfig(cudaStream_t stream) {
}
bool TensorRTSubGraph::IsInt8Mode() {
bool isInt8Mode = false;
for (auto cur_op : all_ops_) {
if (isInt8Mode) {
break;
}
for (auto in_tensor : cur_op->inputs()) {
if (cur_op->inputs().front().QuantParams().empty()) {
continue;
}
auto quant_param = cur_op->inputs().front().QuantParams().front();
if (quant_param.max > 0) {
isInt8Mode = true;
break;
}
}
for (auto out_tensor : cur_op->outputs()) {
if (cur_op->outputs().front().QuantParams().empty()) {
continue;
}
auto quant_param = cur_op->outputs().front().QuantParams().front();
if (quant_param.max > 0) {
isInt8Mode = true;
break;
}
if (cur_op->GetQuantType() == schema::QuantType_QUANT_ALL) {
return true;
}
}
return isInt8Mode;
return false;
}
nvinfer1::ITensor *TensorRTSubGraph::SetTensorRTNetworkInput(const mindspore::MSTensor &in_tensor) {

5
mindspore/lite/src/inner_kernel.h
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@ -95,6 +95,11 @@ class InnerKernel : public Kernel {
: schema::PrimitiveType_NONE;
}
schema::QuantType quant_type() const override {
return (this->op_parameter_ != nullptr) ? schema::QuantType(this->op_parameter_->quant_type_)
: schema::QuantType_QUANT_NONE;
}
const std::vector<mindspore::MSTensor> &inputs() override {
if (inputs_.empty()) {
std::transform(in_tensors_.begin(), in_tensors_.end(), std::back_inserter(inputs_), [](lite::Tensor *tensor) {