| commit | 77f655c26c921d9cfd0f38815ed4bcd7fcba7a5b | [log] [tgz] |
|---|---|---|
| author | Ryan Kuester <kuester@bdti.com> | Wed Jan 03 12:55:32 2024 -0600 |
| committer | GitHub <noreply@github.com> | Wed Jan 03 18:55:32 2024 +0000 |
| tree | b54800e3303079c41ac9960c2b88d42c7d8d0888 | |
| parent | bb54330fda290a905fa694eadeab0aa085378222 [diff] |
build(bazel): add missing dep on python package `pillow` (#2371) Add an undeclared dependency on the Python package `pillow` to the example mnist_lstm. The missing dependency causes run and test failures on a system where pillow isn't installed system-wide. BUG=see description
TensorFlow Lite for Microcontrollers is a port of TensorFlow Lite designed to run machine learning models on DSPs, microcontrollers and other devices with limited memory.
Additional Links:
| Build Type | Status |
|---|---|
| CI (Linux) |  |
| Code Sync |  |
This table captures platforms that TFLM has been ported to. Please see New Platform Support for additional documentation.
| Platform | Status |
|---|---|
| Arduino |   |
| Coral Dev Board Micro | TFLM + EdgeTPU Examples for Coral Dev Board Micro |
| Espressif Systems Dev Boards |  |
| Renesas Boards | TFLM Examples for Renesas Boards |
| Silicon Labs Dev Kits | TFLM Examples for Silicon Labs Dev Kits |
| Sparkfun Edge |  |
| Texas Instruments Dev Boards |  |
This is a list of targets that have optimized kernel implementations and/or run the TFLM unit tests using software emulation or instruction set simulators.
| Build Type | Status |
|---|---|
| Cortex-M |  |
| Hexagon |  |
| RISC-V |  |
| Xtensa |  |
| Generate Integration Test |  |
See our contribution documentation.
A Github issue should be the primary method of getting in touch with the TensorFlow Lite Micro (TFLM) team.
The following resources may also be useful:
SIG Micro email group and monthly meetings.
SIG Micro gitter chat room.
For questions that are not specific to TFLM, please consult the broader TensorFlow project, e.g.: