ONE - On-device Neural Engine
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tflchef::TFliteOpSplitV Class Reference

tflchef operator builder for SPLIT_V More...

#include <SplitV.h>

Collaboration diagram for tflchef::TFliteOpSplitV:

Public Member Functions

void filler (const tflite::Operator *op, TFliteImport *import, tflchef::ModelRecipe *model_recipe) const override
 
tflchef::Operation * build (RecipeChefContext *ctx) const override
 
- Public Member Functions inherited from tflchef::TFliteOpChef
virtual ~TFliteOpChef ()
 

Detailed Description

tflchef operator builder for SPLIT_V

Definition at line 28 of file SplitV.h.

Member Function Documentation

◆ build()

tflchef::Operation * tflchef::TFliteOpSplitV::build ( RecipeChefContext ctx) const
overridevirtual

Implements tflchef::TFliteOpChef.

Definition at line 40 of file SplitV.cpp.

41{
42 tflchef::Operation *operation = ctx->chefop;
43 const tflite::Operator *op = ctx->tflop;
44
45 operation->set_type("SplitV");
46
47 auto op_options = operation->mutable_split_v_options();
48
49 auto op_params = op->builtin_options_as_SplitVOptions();
50 assert(op_params != nullptr);
51
52 op_options->set_num_splits(op_params->num_splits());
53 return operation;
54}

References tflchef::RecipeChefContext::chefop, and tflchef::RecipeChefContext::tflop.

◆ filler()

void tflchef::TFliteOpSplitV::filler ( const tflite::Operator *  op,
TFliteImport import,
tflchef::ModelRecipe *  model_recipe 
) const
overridevirtual

Implements tflchef::TFliteOpChef.

Definition at line 24 of file SplitV.cpp.

26{
27 const auto &inputs = *op->inputs();
28
29 // for input "size_splits" and "split_dim"
30 for (int32_t idx = 1; idx <= 2; idx++)
31 {
32 const tflite::Tensor *tensor = import->tensors()->Get(inputs[idx]);
33 assert(tensor->type() == tflite::TensorType::TensorType_INT32);
34 const tflite::Buffer *buffer = import->buffers()->Get(tensor->buffer());
35 auto vec = extract_buffer<int32_t>(buffer);
36 import->set_tensor_filler(inputs[idx], vec);
37 }
38}

The documentation for this class was generated from the following files: