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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/weight_compressor.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/weight_compressor.py')
-rw-r--r-- | ethosu/vela/weight_compressor.py | 13 |
1 files changed, 6 insertions, 7 deletions
diff --git a/ethosu/vela/weight_compressor.py b/ethosu/vela/weight_compressor.py index 92197248..ee554b5c 100644 --- a/ethosu/vela/weight_compressor.py +++ b/ethosu/vela/weight_compressor.py @@ -18,12 +18,11 @@ # Description: # Compresses and pads the weigths. It also calculates the scales and packs with the biases. -import os -import sys -import enum import math -import numpy as np from collections import namedtuple + +import numpy as np + from .numeric_util import round_up from .scaling import quantise_scale, reduced_quantise_scale from .tensor import TensorPurpose, TensorSubPurpose, TensorFormat, TensorBlockTraversal @@ -44,7 +43,7 @@ def encode(weight_stream): # pad with 0xFF as needed so the length of the weight stream # is a multiple of 16 - + while (len(compressed) % 16) != 0: compressed.append(0xFF) @@ -348,7 +347,7 @@ def update_pass_weight_and_scale_tensors(nng, arch): for sg in nng.subgraphs: for ps in sg.passes: - if ps.weight_tensor != None: + if ps.weight_tensor is not None: npu_usage_of_tensor = find_npu_usage_of_tensor(ps.weight_tensor) if npu_usage_of_tensor == NpuBlockType.ConvolutionDepthWise: ps.weight_tensor.quant_values = np.transpose(ps.weight_tensor.quant_values, (0, 1, 3, 2)) @@ -382,7 +381,7 @@ def update_pass_weight_and_scale_tensors(nng, arch): src_tens.weight_compression_scales = ps.weight_tensor.weight_compression_scales src_tens.weight_compressed_offsets = ps.weight_tensor.weight_compressed_offsets - if ps.scale_tensor != None: + if ps.scale_tensor is not None: rescale_for_faf = False activation_ops = set(("Sigmoid", "Tanh")) if (ps.ops[-1].type in activation_ops) and (ps.npu_block_type != NpuBlockType.ElementWise): |