tflchef operator builder for SparseToDense
More...
#include <SparseToDense.h>
tflchef operator builder for SparseToDense
Definition at line 28 of file SparseToDense.h.
◆ build()
tflchef::Operation * tflchef::TFliteOpSparseToDense::build |
( |
RecipeChefContext * |
ctx | ) |
const |
|
overridevirtual |
Implements tflchef::TFliteOpChef.
Definition at line 37 of file SparseToDense.cpp.
38{
39 tflchef::Operation *operation = ctx->chefop;
40 const tflite::Operator *op = ctx->tflop;
41
42 auto op_params = op->builtin_options_as_SparseToDenseOptions();
43 assert(op_params != nullptr);
44
45 operation->set_type("SparseToDense");
46
47 auto op_options = operation->mutable_sparse_to_dense_options();
48
49 op_options->set_validate_indices(op_params->validate_indices());
50
51 return operation;
52}
References tflchef::RecipeChefContext::chefop, and tflchef::RecipeChefContext::tflop.
◆ filler()
void tflchef::TFliteOpSparseToDense::filler |
( |
const tflite::Operator * |
op, |
|
|
TFliteImport * |
import, |
|
|
tflchef::ModelRecipe * |
model_recipe |
|
) |
| const |
|
overridevirtual |
Implements tflchef::TFliteOpChef.
Definition at line 24 of file SparseToDense.cpp.
26{
27
28 const auto &
inputs = *op->inputs();
29
30 const tflite::Tensor *output_shape_tensor = import->tensors()->Get(inputs[1]);
31 assert(output_shape_tensor->type() == tflite::TensorType::TensorType_INT32);
32 const tflite::Buffer *buffer = import->buffers()->Get(output_shape_tensor->buffer());
33 auto vec = extract_buffer<int32_t>(buffer);
34 import->set_tensor_filler(inputs[1], vec);
35}
The documentation for this class was generated from the following files: