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⨍ Functions 535◇ Types & classes 14

↓ 198 callersMethodprintln

src/noodle_fs.h:111

↓ 146 callersMethodclose

src/noodle_fs.h:107

↓ 53 callersFunctionnoodle_fs_open_read

* @brief Open a file for reading using the selected backend. * @ingroup noodle_fs * * The path is normalized with noodle_norm_filename() before ope

src/noodle_fs.h:239

↓ 46 callersFunctionnoodle_conv_float

src/noodle_conv.cpp:507

↓ 43 callersMethodread

src/noodle_fs.h:101

↓ 41 callersFunctionnoodle_read_float

src/noodle_io.cpp:178

↓ 40 callersMethodflush

src/noodle_fs.h:106

↓ 35 callersMethodwrite

src/noodle_fs.h:104

↓ 33 callersMethodavailable

src/noodle_fs.h:100

↓ 31 callersFunctionnoodle_fcn

src/noodle_fcn.cpp:9

↓ 29 callersFunctionnoodle_buffer_require

src/noodle_buffer.cpp:42

↓ 26 callersFunctionmake_conv

examples/squeezenet/src/main.cpp:219

↓ 23 callersFunction_write_array_txt_and_h

Write both .txt and .h for a 1D float array.

model_exporter.py:34

↓ 23 callersFunctionnoodle_buffer_init

src/noodle_buffer.cpp:35

↓ 23 callersFunctionnoodle_fs_open_write

* @brief Open a file for writing using the selected backend. * @ingroup noodle_fs * * The path is normalized with noodle_norm_filename() before ope

src/noodle_fs.h:262

↓ 23 callersFunctionnoodle_write_float

src/noodle_io.cpp:204

↓ 22 callersFunctionnoodle_reset_buffer

src/noodle_internal.cpp:407

↓ 21 callersFunctionnoodle_dwconv_float

File CHW → File CHW with Conv

src/noodle_dw.cpp:10

↓ 20 callersFunctionnoodle_temp2_require

src/noodle_memory.cpp:71

↓ 18 callersFunctionnoodle_slice

src/noodle_memory.cpp:96

↓ 17 callersFunctionnoodle_compute_V

src/noodle_internal.cpp:469

↓ 16 callersFunctionnoodle_do_pooling

src/noodle_internal.cpp:176

↓ 15 callersFunctionnoodle_do_bias_act

src/noodle_internal.cpp:414

↓ 15 callersFunctionnoodle_do_conv

src/noodle_internal.cpp:355

↓ 15 callersFunctionprint_buffer_memory

examples/squeezenet/src/main.cpp:194

↓ 14 callersFunctionnoodle_grid_from_file

src/noodle_io.cpp:309

↓ 13 callersFunctionalloc_float_buffer

examples/auto-encoder-scoliosis/src/main.cpp:151

↓ 13 callersFunctionnoodle_tensor_valid_2d

* @brief Check that a tensor has allocated packed `[C][W][W]` data. */

src/noodle_tensor.cpp:94

↓ 13 callersFunctionprint_free_memory

examples/squeezenet/src/main.cpp:151

↓ 13 callersFunctionprint_mem

examples/squeezenet/src/main-tflm.cpp:92

↓ 13 callersFunctionprint_ready

examples/squeezenet/src/noodle_serial.cpp:21

↓ 13 callersFunctionprint_ready

examples/auto-encoder/src/noodle_serial.cpp:21

↓ 12 callersFunctionnoodle_conv1d

src/noodle_conv.cpp:13

↓ 11 callersFunctionnoodle_rewind_file

* @brief Rewind a file handle to position 0. * @ingroup noodle_fs * * SdFat exposes `seekSet(0)`, while Arduino `File` backends expose `seek(0)`.

src/noodle_fs.h:303

↓ 11 callersFunctionnoodle_soft_max

src/noodle_math.cpp:214

↓ 11 callersFunctionnoodle_temp1_require

src/noodle_memory.cpp:67

↓ 11 callersFunctionswap_tensors

examples/auto-encoder/src/main.cpp:63

↓ 10 callersFunctionmake_conv

examples/firenet-cifar10/src/main_rp2350_firenet.cpp:95

↓ 10 callersFunctionnoodle_find_max

src/noodle_math.cpp:31

↓ 9 callersFunction_is_nd

model_exporter.py:21

↓ 9 callersFunctionnoodle_buffer_capacity_bytes

src/noodle_buffer.cpp:84

↓ 9 callersFunctionnoodle_conv2d

src/noodle_tensor.cpp:98

↓ 9 callersMethodreadBytes

src/noodle_fs.h:103

↓ 8 callersFunctionnoodle_fs_init

src/noodle_io.cpp:43

↓ 8 callersFunctionprint_stats

examples/auto-encoder-scoliosis/src/main.cpp:228

↓ 8 callersFunctionrun_fire

examples/squeezenet/src/main.cpp:267

↓ 7 callersFunction_tflite_get_tensor

Return numpy tensor for a TFLite tensor index, or None if not readable.

model_exporter.py:284

↓ 7 callersFunctionnoodle_do_conv1d

src/noodle_internal.cpp:22

↓ 7 callersFunctionnoodle_gap

src/noodle_shape.cpp:65

↓ 7 callersFunctionnoodle_pgm_float

* @brief Read a float from normal memory or near AVR PROGMEM. * @ingroup noodle_public * * On AVR this uses pgm_read_float_near(). On other platfor

src/noodle.h:79

↓ 6 callersFunctionnoodle_bn_relu

src/noodle_math.cpp:195

↓ 6 callersFunctionnoodle_dw_pw_block

------------------------------------------------------------ Depthwise + Pointwise block (ping-pong): DW: in -> out (+ BN + ReLU in-place on out) PW

examples/medical-mnist/src/blood.cpp:78

↓ 6 callersFunctionnoodle_dw_pw_block

------------------------------------------------------------ Depthwise + Pointwise block DW: in -> out (+ BN + ReLU on out) PW: out -> in (+ BN +

examples/mobile-lenet-esp32/src/main.cpp:75

↓ 6 callersFunctionnoodle_dw_pw_block_folded

------------------------------------------------------------ Depthwise + Pointwise block DW: Cin -> Cin PW: Cin -> Cout Final output lives again in 'i

examples/medical-mnist/src/pneumonia.cpp:237

↓ 6 callersFunctionnoodle_tensor_size

src/noodle_tensor.cpp:67

↓ 6 callersFunctionnoodle_tensor_valid_1d

* @brief Check that a tensor has allocated packed `[C][W]` data. */

src/noodle_tensor.cpp:87

↓ 6 callersFunctionprint_memory_state

examples/auto-encoder/src/main_tflm_denoising_benchmark.cpp:108

↓ 6 callersFunctionprint_ready

examples/firenet-cifar10/src/noodle_serial.cpp:21

↓ 6 callersFunctionswap_buffers

examples/lenet-5-esp32/src/main-cyd.cpp:78

↓ 6 callersFunctionswap_buffers

examples/lenet-5-esp32/src/main.cpp:172

↓ 5 callersFunction_is_1d

model_exporter.py:24

↓ 5 callersFunction_tensor_shape_from_details

(tensor_details, idx)

model_exporter.py:702

↓ 5 callersFunction_write_bias_if_present

Write bias if the second item in layer.get_weights() is a 1D vector.

model_exporter.py:456

↓ 5 callersFunctionadd_gaussian

(center, amp, width)

examples/peak-detect/test/ecg-sender.py:46

↓ 5 callersFunctiondw_pw_block_sd_progmem

DW + PW block with SD-backed activations and PROGMEM-backed parameters. Input/output layout: packed CHW float tensors on SD.

examples/mobile-lenet-mega2560/src/main.cpp:91

↓ 5 callersFunctionmake_conv

examples/mobile-lenet-mega2560/src/main.cpp:73

↓ 5 callersFunctionnoodle_conv_transpose_float

src/noodle_conv.cpp:961

↓ 5 callersFunctionnoodle_flat

src/noodle_shape.cpp:9

↓ 5 callersFunctionnoodle_pool2d

src/noodle_shape.cpp:184

↓ 5 callersFunctionnoodle_setup_temp_buffers

src/noodle_memory.cpp:102

↓ 5 callersFunctionprint_ready

examples/auto-encoder-scoliosis/src/noodle_serial.cpp:21

↓ 5 callersFunctionread_line

Read one text line. Do not use this for binary payload. Important: this implementation reads one byte at a time so it does not accidentally d

examples/auto-encoder/test/sender.py:215

↓ 4 callersFunction_find_bias_input

Find a readable 1D float32 bias vector among op inputs.

model_exporter.py:730

↓ 4 callersFunctionclear_input

examples/auto-encoder/src/noodle_serial.cpp:17

↓ 4 callersFunctionnoodle_bn2d

src/noodle_math.cpp:108

↓ 4 callersFunctionnoodle_bn2d_relu

src/noodle_math.cpp:140

↓ 4 callersFunctionnoodle_copy_kernel_progmem

src/noodle_internal.cpp:622

↓ 4 callersFunctionnoodle_sigmoid

src/noodle_math.cpp:234

↓ 4 callersFunctionnoodle_tensor_require_2d

src/noodle_tensor.cpp:52

↓ 4 callersFunctionnoodle_unpack_bn_params

src/noodle_math.cpp:45

↓ 4 callersFunctionprint_ready

examples/lenet-5-sdcard/src/noodle_serial.cpp:21

↓ 4 callersFunctionread_line

(ser: serial.Serial, timeout_s: float)

examples/firenet-cifar10/test/cifar10_rgb_sender.py:129

↓ 4 callersFunctionread_line

Read one text line. Do not use this for binary payload.

examples/auto-encoder-scoliosis/test/sender.py:112

↓ 4 callersFunctionread_line

(ser: serial.Serial, timeout_s: float)

examples/lenet-5-sdcard/test/blue-pill-sender.py:108

↓ 4 callersMethodread_line

(self, timeout_s: float)

examples/squeezenet/test/squeezenet224_sender.py:73

↓ 4 callersFunctionsample

examples/auto-encoder/test/sender.py:130

↓ 4 callersFunctionsample

examples/lenet-5-sdcard/test/p4-sender.py:77

↓ 4 callersFunctionsample

examples/lenet-5-sdcard/test/blue-pill-sender.py:68

↓ 4 callersFunctionsample

examples/mobile-lenet-mega2560/test/mnist-sender.py:72

↓ 4 callersFunctionsample

examples/medical-mnist/test/blood-mnist-sender.py:115

↓ 4 callersFunctionsample

examples/medical-mnist/test/pneumonia-mnist-sender.py:78

↓ 4 callersFunctionsample

examples/mobile-lenet-esp32/test/mnist-sender.py:81

↓ 4 callersFunctionsample

examples/lenet-5-esp32/test/mnist-sender.py:77

↓ 4 callersFunctionset_dq

examples/medical-mnist/src/pneumonia.cpp:219

↓ 3 callersFunction_consume_bias_and_bn

After a kernel tensor, consume (in order) one of: (A) bias + BN : 5 consecutive 1D vectors same length (B) BN only : 4 consecutive

model_exporter.py:56

↓ 3 callersFunction_same_len_1d

All 1D and identical length.

model_exporter.py:27

↓ 3 callersFunction_shape_tuple

model_exporter.py:699

↓ 3 callersFunctionalloc_bytes

examples/auto-encoder-scoliosis/src/main.cpp:143

↓ 3 callersFunctionarea_setup

examples/fcn2-uno/src/main.cpp:106

↓ 3 callersFunctionarea_setup

Draw the grids in the screen The fill-color or the gray-level of each grid is set based on its value

examples/lenet-5-esp32/src/main-cyd.cpp:141

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