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Fix TensorRT potential unordered binding addresses #5826

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Merged
glenn-jocher merged 3 commits into from
Nov 30, 2021
Merged

Fix TensorRT potential unordered binding addresses #5826

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dfd5a0f
feat: change file suffix in pythonic way
imyhxy Nov 30, 2021
4e4dec3
fix: enforce binding addresses order
imyhxy Nov 30, 2021
ce441d2
fix: enforce binding addresses order
imyhxy Nov 30, 2021
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fix: enforce binding addresses order
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@imyhxy
imyhxy committed Nov 30, 2021
commit 4e4dec321852681b6393288afd1143099e43a6f7
6 changes: 3 additions & 3 deletions models/common.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@
import math
import platform
import warnings
from collections import namedtuple
from collections import OrderedDict, namedtuple
from copy import copy
from pathlib import Path

Expand Down Expand Up @@ -326,14 +326,14 @@ def __init__(self, weights='yolov5s.pt', device=None, dnn=True):
logger = trt.Logger(trt.Logger.INFO)
with open(w, 'rb') as f, trt.Runtime(logger) as runtime:
model = runtime.deserialize_cuda_engine(f.read())
bindings = dict()
bindings = OrderedDict()
for index in range(model.num_bindings):
name = model.get_binding_name(index)
dtype = trt.nptype(model.get_binding_dtype(index))
shape = tuple(model.get_binding_shape(index))
data = torch.from_numpy(np.empty(shape, dtype=np.dtype(dtype))).to(device)
bindings[name] = Binding(name, dtype, shape, data, int(data.data_ptr()))
binding_addrs = {n: d.ptr for n, d in bindings.items()}
binding_addrs = OrderedDict({n: d.ptr for n, d in bindings.items()})
context = model.create_execution_context()
batch_size = bindings['images'].shape[0]
else: # TensorFlow model (TFLite, pb, saved_model)
Expand Down