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/tflite-micro-3.4.0-2.7.6/tensorflow/lite/kernels/internal/
Dportable_tensor.h26 inline RuntimeShape GetTensorShape(std::vector<int32_t> data) { in GetTensorShape()
70 std::vector<T*> all_data_;
71 std::vector<RuntimeShape> all_shape_;
72 std::vector<RuntimeShape*> all_shape_ptr_;
94 std::vector<int32_t> zero_point_;
95 std::vector<float> scale_;
Dstrided_slice_logic.h184 const std::vector<int>& start_indices, const std::vector<int>& stop_indices, in BuildStridedSliceParams()
185 const std::vector<int>& strides) { in BuildStridedSliceParams()
/tflite-micro-3.4.0-2.7.6/third_party_static/flatbuffers/include/flatbuffers/
Dstl_emulation.h63 template <typename T> inline T *vector_data(std::vector<T> &vector) { in vector_data() argument
66 return vector.empty() ? nullptr : &vector[0]; in vector_data()
70 const std::vector<T> &vector) { in vector_data() argument
71 return vector.empty() ? nullptr : &vector[0]; in vector_data()
75 inline void vector_emplace_back(std::vector<T> *vector, V &&data) { in vector_emplace_back() argument
77 vector->push_back(data); in vector_emplace_back()
79 vector->emplace_back(std::forward<V>(data)); in vector_emplace_back()
Dflexbuffers.h884 inline Reference GetRoot(const std::vector<uint8_t> &buffer) { in GetRoot()
922 const std::vector<uint8_t> &GetBuffer() const { in GetBuffer()
1074 size_t Blob(const std::vector<uint8_t> &v) { in Blob()
1193 template<typename T> void Vector(const std::vector<T> &vec) { in Vector()
1295 template<typename T> void Add(const std::vector<T> &vec) { Vector(vec); } in Add()
1583 std::vector<uint8_t> buf_;
1584 std::vector<Value> stack_;
1593 explicit KeyOffsetCompare(const std::vector<uint8_t> &buf) : buf_(&buf) {} in KeyOffsetCompare()
1601 const std::vector<uint8_t> *buf_;
1606 explicit StringOffsetCompare(const std::vector<uint8_t> &buf) in StringOffsetCompare()
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Dflatbuffers.h1052 const T *data(const std::vector<T, Alloc> &v) {
1058 template<typename T, typename Alloc> T *data(std::vector<T, Alloc> &v) {
1652 template<typename T> Offset<Vector<T>> CreateVector(const std::vector<T> &v) {
1659 Offset<Vector<uint8_t>> CreateVector(const std::vector<bool> &v) {
1678 std::vector<T> elems(vector_size);
1696 std::vector<T> elems(vector_size);
1708 const std::vector<std::string> &v) {
1709 std::vector<Offset<String>> offsets(v.size());
1740 std::vector<T> vv(len);
1795 const std::vector<T, Alloc> &v) {
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/tflite-micro-3.4.0-2.7.6/tensorflow/lite/experimental/microfrontend/lib/
DREADME.md4 input, and produces filter banks (a vector of values).
34 printf("%d ", output.values[i]); // Print the feature vector.
39 samples needed from the audio data to produce a single feature vector (according
41 a feature vector, the returned size will be 0 and the values pointer will be
/tflite-micro-3.4.0-2.7.6/tensorflow/lite/core/api/
Dop_resolver.h43 std::vector<std::unique_ptr<TfLiteDelegate, void (*)(TfLiteDelegate*)>>;
/tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/kernels/test_data_generation/
DREADME.md6 targets (basically only on X86), since it is using std::vector and std::map.
/tflite-micro-3.4.0-2.7.6/tensorflow/lite/kernels/internal/reference/
Ddequantize.h60 std::vector<int> current_dim(num_dims, 0); in PerChannelDequantize()
/tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/
Dflatbuffer_utils_test.cc64 const std::vector<uint8_t> buffer = fbb.GetBuffer(); in TF_LITE_MICRO_TEST()
/tflite-micro-3.4.0-2.7.6/third_party_static/ruy/ruy/profiler/
Dinstrumentation.h82 std::vector<ThreadStack*>* GlobalAllThreadStacks();
/tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/tools/make/targets/stm32f4/
Dstm32f4.lds32 /* interrupt vector goes to top of flash */
/tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/tools/make/targets/bluepill/
Dbluepill.lds47 /* interrupt vector goes to top of flash */
/tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/kernels/
Dsvdf_common.cc308 const float* vector = input_ptr; in EvalFloatSvdfReference() local
315 const float* vector_in_batch = vector + i * input_size; in EvalFloatSvdfReference()
/tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/kernels/cmsis_nn/
Dsvdf.cc184 const float* vector = input_ptr; in EvalFloatSVDF() local
191 const float* vector_in_batch = vector + i * input_size; in EvalFloatSVDF()
/tflite-micro-3.4.0-2.7.6/third_party/hexagon/
Dsvdf.cc211 const float* vector = input_ptr; in EvalFloatSVDF() local
218 const float* vector_in_batch = vector + i * input_size; in EvalFloatSVDF()
/tflite-micro-3.4.0-2.7.6/tensorflow/lite/schema/
Dschema_generated.h3192 std::vector<uint8_t> custom;
3244 const std::vector<uint8_t> *custom = nullptr) {
3256 std::vector<float> min;
3257 std::vector<float> max;
3258 std::vector<float> scale;
3259 std::vector<int64_t> zero_point;
3386 const std::vector<float> *min = nullptr,
3387 const std::vector<float> *max = nullptr,
3388 const std::vector<float> *scale = nullptr,
3389 const std::vector<int64_t> *zero_point = nullptr,
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/tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/tools/make/targets/ceva/
DCEVA_BX1_TFLM_18.0.2.ld46 /** The interrupt vector resides at address zero and contains the NMI
DCEVA_BX1_TFLM.ld46 /** The interrupt vector table. Contains the NMI
DCEVA_BX1_TFLM_18.0.3.ld47 /** The interrupt vector table. Contains the NMI
DCEVA_BX1_TFLM_18.0.5.ld47 /** The interrupt vector table. Contains the NMI
DCEVA_SP500_TFLM.ld44 /** The interrupt vector table. Contains the NMI
/tflite-micro-3.4.0-2.7.6/tensorflow/lite/micro/kernels/vexriscv/doc/
DDepthwiseConv2D_int8.md42 demonstrated the potential that can be achieved with the aforementioned vector