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| uint16_t | noodle_conv1d (const char *in_fn, uint16_t n_inputs, const char *out_fn, uint16_t n_outputs, uint16_t W, const Conv &conv, const Pool &pool, CBFPtr progress_cb) |
| | Run file-to-file 1D convolution with file-backed parameters and pooling.
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| uint16_t | noodle_conv1d (const char *in_fn, uint16_t n_inputs, const char *out_fn, uint16_t n_outputs, uint16_t W, const Conv &conv, CBFPtr progress_cb) |
| | Run file-to-file 1D convolution with file-backed parameters.
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| uint16_t | noodle_conv1d (const char *in_fn, uint16_t n_inputs, const char *out_fn, uint16_t n_outputs, uint16_t W, const ConvMem &conv, CBFPtr progress_cb) |
| | Run file-to-file 1D convolution with memory-backed parameters.
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| uint16_t | noodle_conv1d (float *in, uint16_t n_inputs, float *out, uint16_t n_outputs, uint16_t W, const ConvMem &conv, CBFPtr progress_cb) |
| | Raw memory-to-memory 1D convolution without pooling.
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| uint16_t | noodle_conv1d (float *in, uint16_t n_inputs, float *out, uint16_t n_outputs, uint16_t W, const ConvMem &conv, const Pool &pool, CBFPtr progress_cb) |
| | Raw memory-to-memory 1D convolution with pooling.
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| uint16_t | noodle_conv1d (float *in, uint16_t n_inputs, const char *out_fn, uint16_t n_outputs, uint16_t W, const ConvMem &conv, CBFPtr progress_cb) |
| | Raw memory-to-file 1D convolution without pooling.
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| uint16_t | noodle_conv1d (const char *in_fn, uint16_t n_inputs, float *out, uint16_t n_outputs, uint16_t W, const ConvMem &conv, CBFPtr progress_cb) |
| | Raw file-to-memory 1D convolution without pooling.
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| uint16_t | noodle_conv_byte (const char *in_fn, uint16_t n_inputs, uint16_t n_outputs, const char *out_fn, uint16_t W, const Conv &conv, const Pool &pool, CBFPtr progress_cb) |
| | Run file-to-file 2D convolution on byte input feature maps.
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| uint16_t | noodle_conv_float (const char *in_fn, uint16_t n_inputs, uint16_t n_outputs, const char *out_fn, uint16_t W, const Conv &conv, const Pool &pool, CBFPtr progress_cb) |
| | Run file-to-file 2D convolution on float input feature maps.
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| uint16_t | noodle_conv_float (const char *in_fn, uint16_t n_inputs, uint16_t n_outputs, const char *out_fn, uint16_t W, const ConvMem &conv, const Pool &pool, CBFPtr progress_cb) |
| | Run file-to-file 2D convolution with memory-backed parameters.
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| uint16_t | noodle_conv_float (const char *in_fn, uint16_t n_inputs, uint16_t n_outputs, float *output, uint16_t W, const Conv &conv, const Pool &pool, CBFPtr progress_cb) |
| | File-to-memory 2D convolution with file-backed parameters.
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| uint16_t | noodle_conv_float (float *input, uint16_t n_inputs, uint16_t n_outputs, const char *out_fn, uint16_t W, const Conv &conv, const Pool &pool, CBFPtr progress_cb) |
| | Memory-to-file 2D convolution with file-backed parameters.
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| uint16_t | noodle_conv_float (float *input, uint16_t n_inputs, uint16_t n_outputs, const char *out_fn, uint16_t W, const ConvMem &conv, const Pool &pool, CBFPtr progress_cb) |
| | Memory-to-file 2D convolution with memory-backed parameters.
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| uint16_t | noodle_conv_float (float *input, uint16_t n_inputs, uint16_t n_outputs, float *output, uint16_t W, const Conv &conv, const Pool &pool, CBFPtr progress_cb) |
| | Raw memory-to-memory 2D convolution with file-backed parameters.
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| uint16_t | noodle_conv_float (float *input, uint16_t n_inputs, uint16_t n_outputs, float *output, uint16_t W, const ConvMem &conv, const Pool &pool, CBFPtr progress_cb) |
| | Raw memory-to-memory 2D convolution with memory-backed parameters.
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| uint16_t | noodle_conv_transpose_float (float *input, uint16_t n_inputs, uint16_t n_outputs, float *output, uint16_t W, const ConvMem &conv, CBFPtr progress_cb) |
| | Raw memory-to-memory 2D transpose convolution.
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| uint16_t | noodle_conv_float (const char *in_fn, uint16_t n_inputs, uint16_t n_outputs, const char *out_fn, uint16_t W, const ConvProgmem &conv, const Pool &pool, CBFPtr progress_cb) |
| | Run file-to-file 2D convolution with near-PROGMEM parameters.
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| uint16_t | noodle_conv_float (float *input, uint16_t n_inputs, uint16_t n_outputs, float *output, uint16_t W, const ConvProgmem &conv, const Pool &pool, CBFPtr progress_cb) |
| | Raw memory-to-memory 2D convolution with near-PROGMEM parameters.
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| static uint16_t | noodle_pool_output_width_for_buffer (uint16_t Vconv, const Pool &pool) |
| static float * | noodle_buffer_require_conv2d_output (NoodleBuffer *output, uint16_t n_outputs, uint16_t W, uint16_t K, uint16_t P, uint16_t S, const Pool &pool, uint16_t *Wout) |
| uint16_t | noodle_conv_float (NoodleBuffer *input, uint16_t n_inputs, uint16_t n_outputs, NoodleBuffer *output, uint16_t W, const Conv &conv, const Pool &pool, CBFPtr progress_cb) |
| | Run 2D convolution using file-backed parameters.
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| uint16_t | noodle_conv_float (NoodleBuffer *input, uint16_t n_inputs, uint16_t n_outputs, NoodleBuffer *output, uint16_t W, const ConvMem &conv, const Pool &pool, CBFPtr progress_cb) |
| | Run 2D convolution using memory-backed parameters.
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| uint16_t | noodle_conv_float (NoodleBuffer *input, uint16_t n_inputs, uint16_t n_outputs, NoodleBuffer *output, uint16_t W, const ConvProgmem &conv, const Pool &pool, CBFPtr progress_cb) |
| | Run 2D convolution using near-PROGMEM parameters.
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| uint16_t | noodle_conv_transpose_float (NoodleBuffer *input, uint16_t n_inputs, uint16_t n_outputs, NoodleBuffer *output, uint16_t W, const ConvMem &conv, CBFPtr progress_cb) |
| | Run 2D transpose convolution using memory-backed parameters.
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| static uint16_t | noodle_conv1d_output_width_for_buffer (uint16_t W, uint16_t K, uint16_t P, uint16_t S) |
| static uint16_t | noodle_pool1d_output_width_for_buffer (uint16_t Vconv, const Pool &pool) |
| uint16_t | noodle_conv1d (NoodleBuffer *input, uint16_t n_inputs, NoodleBuffer *output, uint16_t n_outputs, uint16_t W, const ConvMem &conv, CBFPtr progress_cb) |
| | Run 1D convolution using memory-backed parameters.
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| uint16_t | noodle_conv1d (NoodleBuffer *input, uint16_t n_inputs, NoodleBuffer *output, uint16_t n_outputs, uint16_t W, const ConvMem &conv, const Pool &pool, CBFPtr progress_cb) |
| | Run 1D convolution using memory-backed parameters and pooling.
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Public convolution layer wrappers: Conv1D, Conv2D, and ConvTranspose2D.
Low-level kernels, padding, pooling, shape helpers, and other implementation details live in noodle_internal.cpp and are declared in noodle_internal.h.
