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Fix profiling for GRU/LSTM #833

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Merged
merged 2 commits into from
Jul 17, 2023
Merged

Fix profiling for GRU/LSTM #833

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7d21758
add switch for gru/lstm in profiling
dsrankin Jul 17, 2023
78b42e4
Merge branch 'main' into fix_rnn_profiling
dsrankin Jul 17, 2023
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11 changes: 9 additions & 2 deletions hls4ml/model/profiling.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,7 @@
import seaborn as sb

from hls4ml.model.graph import ModelGraph
from hls4ml.model.layers import GRU, LSTM

try:
import qkeras
Expand Down Expand Up @@ -172,7 +173,6 @@ def ap_fixed_WIFS(dtype):


def types_hlsmodel(model):
suffix = ['w', 'b']
data = {'layer': [], 'low': [], 'high': []}
# Plot the default precision
default_precision = model.config.model_precision['default']
Expand All @@ -182,6 +182,10 @@ def types_hlsmodel(model):
data['high'].append(I - 1 if S else I)

for layer in model.get_layers():
if isinstance(layer, GRU) or isinstance(layer, LSTM):
suffix = ['w', 'rw', 'b', 'rb']
else:
suffix = ['w', 'b']
for iw, weight in enumerate(layer.get_weights()):
wname = f'{layer.name}/{suffix[iw]}'
T = weight.type
Expand Down Expand Up @@ -213,13 +217,16 @@ def activation_types_hlsmodel(model):


def weights_hlsmodel(model, fmt='longform', plot='boxplot'):
suffix = ['w', 'b']
if fmt == 'longform':
data = {'x': [], 'layer': [], 'weight': []}
elif fmt == 'summary':
data = []

for layer in model.get_layers():
if isinstance(layer, GRU) or isinstance(layer, LSTM):
suffix = ['w', 'rw', 'b', 'rb']
else:
suffix = ['w', 'b']
name = layer.name
for iw, weight in enumerate(layer.get_weights()):
label = f'{name}/{suffix[iw]}'
Expand Down