diff --git a/docker/Dockerfile.base b/docker/Dockerfile.base
index 4af30713..1e823567 100644
--- a/docker/Dockerfile.base
+++ b/docker/Dockerfile.base
@@ -28,7 +28,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
   libvulkan-dev \
   python3-numpy
 WORKDIR /root
-RUN git clone https://github.com/iqtlabs/gr-iqtlabs -b 1.0.57
+RUN git clone https://github.com/iqtlabs/gr-iqtlabs -b 1.0.58
 COPY --from=iqtlabs/gamutrf-vkfft:latest /root /root/gr-iqtlabs
 WORKDIR /root/gr-iqtlabs/build
 COPY --from=sigmf-builder /usr/local /usr/local
diff --git a/docs/README-airt.md b/docs/README-airt.md
index a9a865bd..12847f10 100644
--- a/docs/README-airt.md
+++ b/docs/README-airt.md
@@ -85,7 +85,7 @@ install gr-iqtlabs
 $ git clone https://github.com/google/flatbuffers -b v23.5.26
 $ git clone https://github.com/nlohmann/json -b v3.11.2
 $ git clone https://github.com/deepsig/libsigmf -b v1.0.2
-$ git clone https://github.com/iqtlabs/gr-iqtlabs -b 1.0.57
+$ git clone https://github.com/iqtlabs/gr-iqtlabs -b 1.0.58
 $ mkdir -p flatbuffers/build && cd flatbuffers/build && cmake -DCMAKE_INSTALL_PREFIX=~/.conda/envs/$CONDA_DEFAULT_ENV .. && make -j $(nproc) && make install && cd ../..
 $ mkdir -p json/build && cd json/build && cmake -DCMAKE_INSTALL_PREFIX=~/.conda/envs/$CONDA_DEFAULT_ENV .. && make -j $(nproc) && make install && cd ../..
 $ mkdir -p libsigmf/build && cd libsigmf/build && cmake -DUSE_SYSTEM_JSON=ON -DUSE_SYSTEM_FLATBUFFERS=ON -DCMAKE_INSTALL_PREFIX=~/.conda/envs/$CONDA_DEFAULT_ENV -DCMAKE_CXX_FLAGS="-I $HOME/.conda/envs/$CONDA_DEFAULT_ENV/include" .. && make -j $(nproc) && make install && cd ../..
diff --git a/torchserve/custom_handler.py b/torchserve/custom_handler.py
index 7cde61d9..5974c3ef 100644
--- a/torchserve/custom_handler.py
+++ b/torchserve/custom_handler.py
@@ -69,6 +69,7 @@ def _load_torchscript_model(self, model_pt_path):
 
     def inference(self, data, *args, **kwargs):
         kwargs.update(self.model_config)
+        print(f"inference got input tensor {data.shape}")
         return super().inference(data, *args, **kwargs)
 
     def postprocess(self, res):
@@ -81,4 +82,5 @@ def postprocess(self, res):
                 name = data.names[int(cls)]
                 result_dict[name].append({"conf": conf.item(), "xywh": xywh.tolist()})
             output.append(result_dict)
+        print(f"postprocess returned results for {len(output)} inference(s)")
         return output