diff options
| author | Louis Verhaard <louis.verhaard@arm.com> | 2020-05-07 08:12:58 +0200 |
|---|---|---|
| committer | Tim Hall <tim.hall@arm.com> | 2020-06-18 17:53:52 +0100 |
| commit | 3c07c97e0202c1cf01eba06c24b37a8f15ff7a7c (patch) | |
| tree | 5856b7727a99b3c0baa00f5486f0c3b53e8e38e6 /ethosu/vela/high_level_command_stream_generator.py | |
| parent | 86d49935c3736c7aaa419abda07fa20c37c991a8 (diff) | |
| download | ethos-u-vela-3c07c97e0202c1cf01eba06c24b37a8f15ff7a7c.tar.gz | |
MLBEDSW-1941: Bug fix shared weights
If same weight tensor was used with different block configs,
errors would occur.
Fixed by always cloning weight tensors, using a global weight
compression cache and modifying the linear allocator to
detect multiple usage of same weight compression.
Change-Id: I91ca59176e1c59c66e0ac7a4227f2b5f0b47053f
Signed-off-by: Louis Verhaard <louis.verhaard@arm.com>
Diffstat (limited to 'ethosu/vela/high_level_command_stream_generator.py')
| -rw-r--r-- | ethosu/vela/high_level_command_stream_generator.py | 8 |
1 files changed, 2 insertions, 6 deletions
diff --git a/ethosu/vela/high_level_command_stream_generator.py b/ethosu/vela/high_level_command_stream_generator.py index 0cc70a7f..3b968dc8 100644 --- a/ethosu/vela/high_level_command_stream_generator.py +++ b/ethosu/vela/high_level_command_stream_generator.py @@ -27,12 +27,8 @@ from .operation import NpuBlockType from .tensor import TensorPurpose -def need_dma(tens): - return len(tens.ops) == 1 and tens.ops[0].type == "DMA" - - def dma_if_necessary(ps, box, tensor): - if need_dma(tensor): + if tensor.needs_dma(): dma_op = tensor.ops[0] in_tensor = dma_op.inputs[0] yield DMA(in_tensor, tensor, box) @@ -93,7 +89,7 @@ def generate_high_level_command_stream_for_pass(strat, passes, block_configs, id if strat == SchedulingStrategy.WeightStream: ofm_step = block_config[-1] ofm_stop = ofm_end[-1] - if weight_tensor is None or not need_dma(weight_tensor): + if weight_tensor is None or not weight_tensor.needs_dma(): ofm_step = ofm_stop for start in range(ofm_start[-1], ofm_stop, ofm_step): end = min(start + ofm_step, ofm_stop) |