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path: root/ethosu/vela/register_command_stream_generator.py
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Diffstat (limited to 'ethosu/vela/register_command_stream_generator.py')
-rw-r--r--ethosu/vela/register_command_stream_generator.py8
1 files changed, 6 insertions, 2 deletions
diff --git a/ethosu/vela/register_command_stream_generator.py b/ethosu/vela/register_command_stream_generator.py
index 3da8bbcf..11c0c20d 100644
--- a/ethosu/vela/register_command_stream_generator.py
+++ b/ethosu/vela/register_command_stream_generator.py
@@ -38,6 +38,7 @@ from .ethos_u55_regs.ethos_u55_regs import cmd0
from .ethos_u55_regs.ethos_u55_regs import cmd1
from .ethos_u55_regs.ethos_u55_regs import elementwise_mode
from .ethos_u55_regs.ethos_u55_regs import ifm_precision
+from .ethos_u55_regs.ethos_u55_regs import resampling_mode
from .ethos_u55_regs.ethos_u55_regs import rounding
from .high_level_command_stream import CommandType
from .numeric_util import clamp_sigmoid
@@ -555,9 +556,12 @@ def generate_register_command_stream(nng, sg, arch, verbose=False):
if primary_op.type == "ResizeBilinear":
# perform nearest neighbor upscale
- emit.cmd0_with_param(cmd0.NPU_SET_IFM_UPSCALE, 1)
+ emit.cmd0_with_param(cmd0.NPU_SET_IFM_UPSCALE, resampling_mode.NEAREST)
+ elif primary_op.type == "Conv2DBackpropInputSwitchedBias":
+ # perform insert zero upscale
+ emit.cmd0_with_param(cmd0.NPU_SET_IFM_UPSCALE, resampling_mode.TRANSPOSE)
else:
- emit.cmd0_with_param(cmd0.NPU_SET_IFM_UPSCALE, 0)
+ emit.cmd0_with_param(cmd0.NPU_SET_IFM_UPSCALE, resampling_mode.NONE)
if npu_block_type in set(
(NpuBlockType.ConvolutionMxN, NpuBlockType.ConvolutionDepthWise, NpuBlockType.Pooling)