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Types & classes14 in github.com/auralius/noodle

↓ 1 callersClassSerialLineReader
Stateful serial line reader. pyserial can return several MCU log lines in one read. A stateless read_line() that creates a new buffer each ti
examples/squeezenet/test/squeezenet224_sender.py:60
↓ 1 callersClassSerialLineReader
examples/medical-mnist/test/pneumonia-mnist-sender.py:142
EnumActivation
* @brief Activation applied after bias where supported. * @ingroup noodle_public */
src/noodle.h:95
ClassConv
* @brief File-backed convolution parameter bundle. * @ingroup noodle_public * * Weight and bias files are read sequentially. For 2D convolution, we
src/noodle.h:113
ClassConvFile
* @brief File-backed convolution parameter bundle alias. * @ingroup noodle_public * * This carries the same layout and semantics as Conv and is kep
src/noodle.h:136
ClassConvMem
* @brief Memory-backed convolution parameter bundle. * @ingroup noodle_public * * `weight` points to packed floats in the same order as file-backed
src/noodle.h:161
ClassConvProgmem
* @brief Near-PROGMEM convolution parameter bundle. * @ingroup noodle_public * * This is intended for small or medium AVR flash arrays that can be
src/noodle.h:181
ClassFCN
* @brief File-backed fully connected parameter bundle. * @ingroup noodle_public * * Weight files are read in row-major `[O][I]` order. Bias files c
src/noodle.h:222
ClassFCNFile
* @brief File-backed fully connected parameter bundle alias. * @ingroup noodle_public */
src/noodle.h:233
ClassFCNMem
* @brief Memory-backed fully connected parameter bundle. * @ingroup noodle_public */
src/noodle.h:244
ClassFCNProgmem
* @brief Far-PROGMEM fully connected parameter bundle for AVR. * @ingroup noodle_public * * `weight_far` and `bias_far` are far flash addresses suc
src/noodle.h:259
ClassNDL_NullFile
* @brief Minimal invalid file handle used when filesystem support is disabled. * @ingroup noodle_fs * * This type implements the small File/F
src/noodle_fs.h:95
ClassPool
* @brief Valid-pooling parameter bundle. * @ingroup noodle_public * * Use `M = 1` and `T = 1` for identity pooling. 2D pooling uses the compile-tim
src/noodle.h:203
ClassRuntimeMemorySnapshot
examples/auto-encoder/src/main_tflm_denoising_benchmark.cpp:66