diff options
author | Diego Russo <diego.russo@arm.com> | 2020-04-21 17:39:10 +0100 |
---|---|---|
committer | Tim Hall <tim.hall@arm.com> | 2020-06-18 17:53:52 +0100 |
commit | e8a10454eba4c7392cb301fbfbe796e5bfb2b729 (patch) | |
tree | 8e54bffd46c55848a86040d3588b5365ef019d8f /ethosu/vela/npu_performance.py | |
parent | 3ec04ac9e38d26193e0081a8e0fa3b8b667bb688 (diff) | |
download | ethos-u-vela-e8a10454eba4c7392cb301fbfbe796e5bfb2b729.tar.gz |
Add reorder-python-import pre-commit hook
Also updated README.md
Change-Id: I118309c61f4d00e8508d6b888c606995490fba39
Signed-off-by: Diego Russo <diego.russo@arm.com>
Diffstat (limited to 'ethosu/vela/npu_performance.py')
-rw-r--r-- | ethosu/vela/npu_performance.py | 14 |
1 files changed, 8 insertions, 6 deletions
diff --git a/ethosu/vela/npu_performance.py b/ethosu/vela/npu_performance.py index 11f1e92b..32208c9e 100644 --- a/ethosu/vela/npu_performance.py +++ b/ethosu/vela/npu_performance.py @@ -13,24 +13,26 @@ # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. - - # Description: # NPU performance estimation functions to estimate performance of a Pass and CascadedPass. Uses a model that takes the # maximum of the 'cycles required for bandwidth' and 'cycles required for computing'. # # Called during scheduling to evaluate different proposals, as well as post-scheduling to provide a final performance # estimate. - import enum import numpy as np from . import numeric_util -from .tensor import TensorPurpose, MemArea, shape_num_elements, TensorBlockTraversal -from .nn_graph import PassPlacement, SchedulerRewrite +from .architecture_features import Block +from .architecture_features import Kernel +from .nn_graph import PassPlacement +from .nn_graph import SchedulerRewrite from .operation import NpuBlockType -from .architecture_features import Block, Kernel +from .tensor import MemArea +from .tensor import shape_num_elements +from .tensor import TensorBlockTraversal +from .tensor import TensorPurpose def rolling_buffer_dims_from_passes(arch, ps1, block_config_ps1, ps2, block_config_ps2): |