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Functions535 in github.com/auralius/noodle

⨍ Functions 535◇ Types & classes 14
↓ 3 callersFunctionblink
examples/lenet-5-sdcard/src/main-blue-pill.cpp:86
↓ 3 callersFunctiongrid_data
examples/lenet-5-esp32/src/main-cyd.cpp:85
↓ 3 callersFunctionmake_fcn
examples/lenet-5-sdcard/src/main-blue-pill.cpp:111
↓ 3 callersFunctionnoodle_buffer_require_conv2d_output
src/noodle_conv.cpp:1174
↓ 3 callersFunctionnoodle_buffer_require_dwconv2d_output
src/noodle_dw.cpp:293
↓ 3 callersFunctionnoodle_compute_V_and_P
src/noodle_internal.cpp:477
↓ 3 callersFunctionnoodle_compute_Vt_and_P
src/noodle_internal.cpp:564
↓ 3 callersFunctionnoodle_norm_filename
* @brief Normalize a filename/path for the selected filesystem backend. * @ingroup noodle_fs * * SdFat paths are returned unchanged. For backends t
src/noodle_fs.h:207
↓ 3 callersFunctionnoodle_read_raw
src/noodle_io.cpp:146
↓ 3 callersFunctionprint_memory_state
examples/auto-encoder/src/main.cpp:86
↓ 3 callersMethodread_line
(self, timeout_s: float)
examples/medical-mnist/test/pneumonia-mnist-sender.py:148
↓ 3 callersFunctionrecv_exact
------------------------------------------------------------ Helpers ------------------------------------------------------------
examples/medical-mnist/src/pneumonia.cpp:469
↓ 3 callersFunctionreset_grid
examples/fcn2-uno/src/main.cpp:77
↓ 3 callersFunctionreset_grid
Clear the grid data, set all to 0
examples/lenet-5-esp32/src/main-cyd.cpp:99
↓ 3 callersFunctionrotate_keep_size_u8
Rotate 28x28 uint8 image by angle_deg, keeping size fixed. Uses pure NumPy bilinear sampling (no extra deps).
examples/medical-mnist/test/blood-mnist-sender.py:79
↓ 3 callersFunctionrun_fire
examples/firenet-cifar10/src/main_rp2350_firenet.cpp:187
↓ 3 callersFunctionsend_layer_stat
examples/medical-mnist/src/pneumonia.cpp:178
↓ 3 callersFunctiontensor_bytes
examples/medical-mnist/src/pneumonia.cpp:173
↓ 3 callersFunctionupdate_viewer
(im_pil, title_text, im_artist, title_obj)
examples/mlperf-vww-esp32/test/send_test_data.py:91
↓ 3 callersFunctionwait_for_ready
(ser: serial.Serial, timeout_s: float = 20.0)
examples/firenet-cifar10/test/cifar10_rgb_sender.py:144
↓ 3 callersFunctionwait_for_ready
Wait until the board announces READY.
examples/auto-encoder-scoliosis/test/sender.py:126
↓ 3 callersFunctionwait_for_ready
Wait until the board announces READY.
examples/auto-encoder/test/sender.py:239
↓ 3 callersFunctionwait_for_ready
(ser: serial.Serial, timeout_s: float = 20.0)
examples/lenet-5-sdcard/test/blue-pill-sender.py:123
↓ 2 callersFunctionbegin
examples/squeezenet/src/noodle_serial.cpp:11
↓ 2 callersFunctionbegin
examples/auto-encoder/src/noodle_serial.cpp:11
↓ 2 callersFunctionbytes_to_float_image
examples/mobile-lenet-esp32/src/main.cpp:233
↓ 2 callersFunctionclear_input
examples/squeezenet/src/noodle_serial.cpp:17
↓ 2 callersFunctioncmd_is
examples/auto-encoder/src/main_tflm_denoising_benchmark.cpp:310
↓ 2 callersFunctioncmd_is
examples/auto-encoder/src/main.cpp:303
↓ 2 callersFunctionconvert_one
(inp: Path, out: Path, name: str, args)
txt2h.py:71
↓ 2 callersFunctionconvert_one
(inp: Path, out: Path, name: str, args)
examples/mlperf-vww-esp32/data/txt2h.py:71
↓ 2 callersFunctionfrag_percent
examples/squeezenet/src/main-tflm.cpp:87
↓ 2 callersFunctionfragmentation_percent
examples/squeezenet/src/main.cpp:135
↓ 2 callersFunctionfragmentation_percent
examples/auto-encoder/src/main_tflm_denoising_benchmark.cpp:75
↓ 2 callersFunctionfragmentation_percent
examples/auto-encoder/src/main.cpp:69
↓ 2 callersFunctionmake_conv
examples/lenet-5-sdcard/src/main-blue-pill.cpp:95
↓ 2 callersFunctionmse_u8
(a: np.ndarray, b: np.ndarray)
examples/auto-encoder/test/sender.py:159
↓ 2 callersFunctionno_pool
examples/firenet-cifar10/src/main_rp2350_firenet.cpp:120
↓ 2 callersFunctionno_pool
examples/squeezenet/src/main.cpp:236
↓ 2 callersFunctionnoodle_array_from_file
src/noodle_io.cpp:293
↓ 2 callersFunctionnoodle_concat
src/noodle_shape.cpp:151
↓ 2 callersFunctionnoodle_conv1d_output_width_for_buffer
src/noodle_conv.cpp:1277
↓ 2 callersFunctionnoodle_conv_transpose2d
src/noodle_tensor.cpp:146
↓ 2 callersFunctionnoodle_copy_name
------------------------------ 4) Unified API ------------------------------ * @brief Copy a C string into a bounded buffer with NUL-termination. * @
src/noodle_fs.h:183
↓ 2 callersFunctionnoodle_do_pooling1d
src/noodle_internal.cpp:44
↓ 2 callersFunctionnoodle_dot_float_block
src/noodle_math.cpp:9
↓ 2 callersFunctionnoodle_get_padded_x
src/noodle_internal.cpp:122
↓ 2 callersFunctionnoodle_read_bytes_until
src/noodle_io.cpp:28
↓ 2 callersFunctionnoodle_read_float_block
src/noodle_io.cpp:164
↓ 2 callersFunctionnoodle_temp_require_impl
src/noodle_memory.cpp:37
↓ 2 callersFunctionnoodle_tensor_init
src/noodle_tensor.cpp:25
↓ 2 callersFunctionnoodle_tensor_require_storage
* @brief Grow tensor storage without changing logical shape metadata. * * @param t Tensor descriptor that owns the backing buffer. * @param require
src/noodle_tensor.cpp:20
↓ 2 callersFunctionnoodle_write_raw
src/noodle_io.cpp:155
↓ 2 callersFunctionpick_files
(folder: str, n: int)
examples/mlperf-vww-esp32/test/send_test_data.py:74
↓ 2 callersFunctionplot_update
(im, title_obj, img, title: str)
examples/medical-mnist/test/blood-mnist-sender.py:164
↓ 2 callersFunctionpredict
------------------------------------------------------------ Inference ------------------------------------------------------------
examples/mobile-lenet-esp32/src/main.cpp:119
↓ 2 callersFunctionprint_tensor_info
examples/squeezenet/src/main-tflm.cpp:109
↓ 2 callersFunctionprint_tensor_info
examples/auto-encoder/src/main_tflm_denoising_benchmark.cpp:176
↓ 2 callersFunctionread_line
(ser, timeout=2.0)
examples/mlperf-vww-esp32/test/send_test_data.py:53
↓ 2 callersFunctionread_line
(ser: serial.Serial, timeout_s: float)
examples/lenet-5-sdcard/test/p4-sender.py:128
↓ 2 callersFunctionread_line
(ser: serial.Serial, timeout_s: float)
examples/mobile-lenet-mega2560/test/mnist-sender.py:181
↓ 2 callersFunctionread_line
(ser: serial.Serial, timeout_s: float)
examples/medical-mnist/test/blood-mnist-sender.py:199
↓ 2 callersFunctionread_line
(ser: serial.Serial, timeout_s: float)
examples/mobile-lenet-esp32/test/mnist-sender.py:132
↓ 2 callersFunctionread_line
(ser: serial.Serial, timeout_s: float)
examples/lenet-5-esp32/test/mnist-sender.py:128
↓ 2 callersFunctionrecv_image_chunked
examples/squeezenet/src/noodle_serial.cpp:25
↓ 2 callersFunctionrecv_image_chunked
examples/auto-encoder/src/noodle_serial.cpp:25
↓ 2 callersFunctionrun_set
examples/mlperf-ad-esp32/src/main.cpp:98
↓ 2 callersFunctionsend_output_image
examples/auto-encoder/src/noodle_serial.cpp:62
↓ 2 callersFunctiontensor_is_28x28x1_float
examples/auto-encoder/src/main_tflm_denoising_benchmark.cpp:191
↓ 2 callersFunctionto_two_digit_string
(n: int)
model_exporter.py:5
↓ 2 callersFunctionwait_for_img_header
examples/squeezenet/src/noodle_serial.cpp:88
↓ 2 callersFunctionwait_for_ready
(reader: SerialLineReader, timeout_s: float = 30.0)
examples/squeezenet/test/squeezenet224_sender.py:121
↓ 2 callersFunctionwait_for_ready
(ser: serial.Serial, timeout_s: float = 30.0)
examples/mobile-lenet-mega2560/test/mnist-sender.py:194
↓ 1 callersFunction_find_first_float_tensor_input
Return (position, tensor_index, tensor) for the first readable float32 input tensor.
model_exporter.py:711
↓ 1 callersFunction_tflite_conv2d_to_keras_hwio
TFLite Conv2D weights are commonly OHWI: (Cout, Kh, Kw, Cin). Convert to Keras HWIO: (Kh, Kw, Cin, Cout).
model_exporter.py:293
↓ 1 callersFunction_tflite_conv2d_to_noodle_oihw
Convert TFLite CONV_2D kernel to Noodle [O][I][Kh][Kw]. Common TFLite layout is OHWI: (Cout, Kh, Kw, Cin). Some tooling may expose HWIO: (Kh,
model_exporter.py:747
↓ 1 callersFunction_tflite_dense_to_keras_din_dout
TFLite FULLY_CONNECTED weights are commonly (Dout, Din). Convert to Keras Dense kernel (Din, Dout).
model_exporter.py:328
↓ 1 callersFunction_tflite_dense_to_noodle_oi
Convert TFLite FULLY_CONNECTED weights to Noodle [O][I]. Common TFLite layout is already (Dout, Din).
model_exporter.py:844
↓ 1 callersFunction_tflite_dwconv2d_to_keras_hwim
Keras DepthwiseConv2D kernel: (Kh, Kw, Cin, M) Common TFLite layout for DEPTHWISE_CONV_2D is either: - already HWIM (Kh, Kw, Cin, M), OR
model_exporter.py:301
↓ 1 callersFunction_tflite_dwconv2d_to_noodle_ckk
Convert TFLite DEPTHWISE_CONV_2D kernel to Noodle [C][Kh][Kw]. Current Noodle depthwise path supports depth_multiplier=1 only.
model_exporter.py:807
↓ 1 callersFunction_tflite_transpose_conv_to_noodle_oihw
Convert TFLite TRANSPOSE_CONV kernel to Noodle [O][I][Kh][Kw]. Common TFLite TRANSPOSE_CONV weight layout: (Cout, Kh, Kw, Cin) Keras C
model_exporter.py:769
↓ 1 callersFunction_write_bn_from_layer
Write BatchNormalization weights as packed gamma,beta,mean,var.
model_exporter.py:463
↓ 1 callersFunctionadd_gaussian_noise_u8
MNIST uint8 -> noisy uint8, matching Keras-style x + factor*N(0,1) in [0,1].
examples/auto-encoder/test/sender.py:150
↓ 1 callersFunctionalloc_buffers
===================================== Allocate buffers =====================================
examples/mlperf-vww-esp32/src/main.cpp:159
↓ 1 callersFunctionalloc_buffers
examples/auto-encoder-scoliosis/src/main.cpp:155
↓ 1 callersFunctionalloc_buffers
examples/lenet-5-sdcard/src/main-blue-pill.cpp:120
↓ 1 callersFunctionalloc_buffers
examples/lenet-5-sdcard/src/main-p4.cpp:38
↓ 1 callersFunctionalloc_buffers
----------------------------- Allocate buffers -----------------------------
examples/peak-detect/src/main-32.cpp:66
↓ 1 callersFunctionalloc_buffers
----------------------------- Allocate buffers -----------------------------
examples/peak-detect/src/main-r4.cpp:66
↓ 1 callersFunctionalloc_buffers
examples/mobile-lenet-mega2560/src/main.cpp:150
↓ 1 callersFunctionalloc_buffers
examples/medical-mnist/src/blood.cpp:110
↓ 1 callersFunctionalloc_buffers
examples/medical-mnist/src/pneumonia.cpp:291
↓ 1 callersFunctionalloc_bytes
examples/auto-encoder/src/main_tflm_denoising_benchmark.cpp:141
↓ 1 callersFunctionalloc_u8_buffer
examples/squeezenet/src/main.cpp:113
↓ 1 callersFunctionbegin
examples/firenet-cifar10/src/noodle_serial.cpp:11
↓ 1 callersFunctionbegin
examples/auto-encoder-scoliosis/src/noodle_serial.cpp:11
↓ 1 callersFunctionbegin
examples/lenet-5-sdcard/src/noodle_serial.cpp:11
↓ 1 callersFunctionbuild_frame
(payload_u8: np.ndarray)
examples/medical-mnist/test/pneumonia-mnist-sender.py:125
↓ 1 callersFunctionbytes_to_float_image
examples/mlperf-vww-esp32/src/main.cpp:114
↓ 1 callersFunctionbytes_to_float_image
examples/auto-encoder/src/main.cpp:126
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