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authorDiego Russo <diego.russo@arm.com>2020-04-14 18:41:58 +0100
committerTim Hall <tim.hall@arm.com>2020-06-18 17:53:52 +0100
commitea6111a36e55501bbfb9ea022aaf8305b4d80183 (patch)
treef6787f7d07ea56a502616a8d6f36bc9c7e6e4efe /ethosu/vela/npu_serialisation.py
parent2213e90570af328418d4f4a0d54269ed21dc40bc (diff)
downloadethos-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.py12
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.