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Add Missing Variables in Conv Model #354

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merged 3 commits into from
Sep 23, 2022
Merged

Add Missing Variables in Conv Model #354

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f8a0f8a
add missing variables
SveaMeyer13 Sep 20, 2022
7974f59
Remove redundant vars from models.py
mgkwill Sep 23, 2022
c7cb1c5
Merge branch 'main' into conv_with_float
mgkwill Sep 23, 2022
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4 changes: 2 additions & 2 deletions src/lava/proc/conv/models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,6 +28,8 @@ class AbstractPyConvModel(PyLoihiProcessModel):
dilation: np.ndarray = LavaPyType(np.ndarray, np.int8, precision=8)
groups: np.ndarray = LavaPyType(np.ndarray, np.int8, precision=8)
num_message_bits: np.ndarray = LavaPyType(np.ndarray, np.int8, precision=5)
weight_exp: np.ndarray = LavaPyType(np.ndarray, np.int32, precision=8)
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num_weight_bits: np.ndarray = LavaPyType(np.ndarray, np.int8, precision=5)

def run_spk(self) -> None:
if self.num_message_bits.item() > 0:
Expand Down Expand Up @@ -71,8 +73,6 @@ class PyConvModelFixed(AbstractPyConvModel):
a_out: PyOutPort = LavaPyType(PyOutPort.VEC_DENSE, np.int32, precision=24)
a_buf: np.ndarray = LavaPyType(np.ndarray, np.int32, precision=24)
weight: np.ndarray = LavaPyType(np.ndarray, np.int32, precision=8)
weight_exp: np.ndarray = LavaPyType(np.ndarray, np.int32, precision=8)
num_weight_bits: np.ndarray = LavaPyType(np.ndarray, np.int8, precision=5)

def clamp_precision(self, x: np.ndarray) -> np.ndarray:
return utils.signed_clamp(x, bits=24)