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| author | Ryan OShea <ryan.oshea3@arm.com> | 2022-11-07 16:20:48 +0000 |
|---|---|---|
| committer | ryan.oshea3 <ryan.oshea3@arm.com> | 2022-11-16 15:22:50 +0000 |
| commit | 31441595009182c985dacbedc70c41ee6664d070 (patch) | |
| tree | 248a85295aeff4022c9b395fc97748b0a0aa6b35 /python | |
| parent | bd18eab07a8f30492de1e462b1815189014cb8d5 (diff) | |
| download | armnn-31441595009182c985dacbedc70c41ee6664d070.tar.gz | |
IVGCVSW-7214 Disable BF16-Turbo-Mode and remove conversion layers
- Remove Bf16ToFp32 Conversion Layer
- Remove Fp32ToBf16 Conversion Layer
- Remove B16 Conversion tests
* Throw exception if m_ReduceFp32ToBf16 optimzer option is set to true
* Provide comments to enable fast math in order to use bf16
* Update docs to inform users to enable fast math for bf16
Execute Network Changes
* Require bf16_turbo_mode to also have fast_math_enabled set to true
- Remove setting m_ReduceFp32ToBf16 optimizer option
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: Ibaa6da9d29c96a1ce32ff5196b0847fde9f04a1c
Diffstat (limited to 'python')
| -rw-r--r-- | python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i b/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i index f91bccc449..c9eef8630d 100644 --- a/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i +++ b/python/pyarmnn/src/pyarmnn/swig/modules/armnn_network.i @@ -25,8 +25,8 @@ Struct for holding options relating to the Arm NN optimizer. See `Optimize`. Contains: m_debug (bool): Add debug data for easier troubleshooting. - m_ReduceFp32ToBf16 (bool): Reduces Fp32 network to BFloat16 (Bf16) for faster processing. Layers - that can not be reduced will be left in Fp32. + m_ReduceFp32ToBf16 (bool): This feature has been replaced by enabling Fast Math in compute library backend options. + This is currently a placeholder option. m_ReduceFp32ToFp16 (bool): Reduces Fp32 network to Fp16 for faster processing. Layers that can not be reduced will be left in Fp32. m_ImportEnabled (bool): Enable memory import of inport tensors. |