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author | Diego Russo <diego.russo@arm.com> | 2020-04-14 18:41:58 +0100 |
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committer | Tim Hall <tim.hall@arm.com> | 2020-06-18 17:53:52 +0100 |
commit | ea6111a36e55501bbfb9ea022aaf8305b4d80183 (patch) | |
tree | f6787f7d07ea56a502616a8d6f36bc9c7e6e4efe /ethosu/vela/npu_serialisation.py | |
parent | 2213e90570af328418d4f4a0d54269ed21dc40bc (diff) | |
download | ethos-u-vela-ea6111a36e55501bbfb9ea022aaf8305b4d80183.tar.gz |
Add pre-commit support for sanity checks
Use pre-commit framework [1] to run black and flake8 before the commit.
black and flake8 are managed by the pre-commit framework and they can be
run manually by the user using `pre-commit run` command.
Fix the code base with the help of black and flake8.
Fix import statements according to PEP8 guidelines [1]
Both tools have the following settings (specified in the pre-commit
configuration file):
* line length: 120 characters
* directory to exclude: ethosu/vela/tflite/ and ethosu/vela/ethos_u55_regs
Updated README.md on how to install pre-commit and how to run sanity checks.
Pipenv files have been updated including new dependencies for pre-commit.
[1]: https://www.python.org/dev/peps/pep-0008/#imports
[2]: https://github.com/pre-commit/pre-commit
Change-Id: I304d9fffdf019d390ffa396a529c8a7c2437f63d
Signed-off-by: Diego Russo <diego.russo@arm.com>
Diffstat (limited to 'ethosu/vela/npu_serialisation.py')
-rw-r--r-- | ethosu/vela/npu_serialisation.py | 12 |
1 files changed, 7 insertions, 5 deletions
diff --git a/ethosu/vela/npu_serialisation.py b/ethosu/vela/npu_serialisation.py index 4542c25b..29ede842 100644 --- a/ethosu/vela/npu_serialisation.py +++ b/ethosu/vela/npu_serialisation.py @@ -18,13 +18,15 @@ # Description: # Serialises and packs an NPU subgraph into tensors. +import struct + +import numpy as np + +from . import driver_actions from .nn_graph import PassPlacement from .tensor import MemArea, Tensor, TensorPurpose, TensorFormat from .operation import Operation from .data_type import DataType -import numpy as np -from . import driver_actions -import struct def make_memory_tensor(name, mem_area, sz, want_values, arch): @@ -75,7 +77,7 @@ def serialise_npu_subgraph_into_tensors(nng, sg, arch, scratch_tens, flash_tens) nng.total_size[scratch_area] = nng.total_size.get(scratch_area, 0) - scratch_size nng.total_elements[scratch_area] = nng.total_elements.get(scratch_area, 0) - scratch_size - if flash_tens == scratch_tens == None: + if flash_tens == scratch_tens is None: # First Npu subgraph, create scratch and flash tensors sg.scratch_tensor = make_memory_tensor(sg.name + "_scratch", scratch_area, scratch_size, False, arch) sg.scratch_tensor.purpose = TensorPurpose.Scratch @@ -88,7 +90,7 @@ def serialise_npu_subgraph_into_tensors(nng, sg, arch, scratch_tens, flash_tens) for cps in sg.cascaded_passes: for ps in cps.passes: - if ps.placement == PassPlacement.Npu and ps.weight_tensor != None: + if ps.placement == PassPlacement.Npu and ps.weight_tensor is not None: # For DMA ops, ps.weight_tensor is referring to the SRAM weight tensor and therefore the address # is pointing at the destination address of where the weights should be placed in SRAM. # This ensures that the Flash weight tensor is used instead and thus gets the correct address. |