jetson compile fix

Makefile

@@ -18,15 +18,23 @@ GPR_CPP_DIR ?= $(HOME)/Documents/VNA_AlGo/gpr_cpp
 GPR_CPP_LIB ?= $(GPR_CPP_DIR)/build/libgpr_core_cpp.a
 GPR_VENV ?= $(GPR_CPP_DIR)/../.venv
 GPR_CUDA_INC_DIR ?= $(dir $(firstword $(wildcard $(GPR_VENV)/lib/python*/site-packages/nvidia/*/include/nvrtc.h)))
+# cuda.h can live in a DIFFERENT pip package than nvrtc.h (Jetson: cuda_runtime
+# vs cuda_nvrtc); the unified cu13 package on dev machines has both in one dir.
+GPR_CUDA_RT_INC_DIR ?= $(dir $(firstword $(wildcard $(GPR_VENV)/lib/python*/site-packages/nvidia/*/include/cuda.h)))
 GPR_NVRTC_LIB ?= $(firstword $(wildcard $(GPR_VENV)/lib/python*/site-packages/nvidia/*/lib/libnvrtc.so*))
 # System-CUDA fallback. An empty GPR_CUDA_INC_DIR would also corrupt the compile
 # command: a bare `-I` swallows the next argument.
 ifeq ($(strip $(GPR_CUDA_INC_DIR)),)
 GPR_CUDA_INC_DIR := /usr/local/cuda/include
 endif
+ifeq ($(strip $(GPR_CUDA_RT_INC_DIR)),)
+GPR_CUDA_RT_INC_DIR := /usr/local/cuda/include
+endif
 ifeq ($(strip $(GPR_NVRTC_LIB)),)
 GPR_NVRTC_LIB := $(firstword $(wildcard /usr/local/cuda/lib64/libnvrtc.so*))
 endif
+# Deduplicated CUDA include flags (a single dir on dev machines).
+GPR_CUDA_INC_FLAGS := $(addprefix -I,$(sort $(GPR_CUDA_INC_DIR) $(GPR_CUDA_RT_INC_DIR)))
 GPR_CUDA_LIB_DIR := $(dir $(GPR_NVRTC_LIB))
 # libnvrtc from pip ships only as libnvrtc.so.N (no .so symlink), so link the
 # full path; the rpath makes the binary find it without LD_LIBRARY_PATH.
@@ -34,7 +42,7 @@ DATA_PROCESSOR_LDFLAGS := $(LDFLAGS) $(GPR_CPP_LIB) $(GPR_NVRTC_LIB) -lcuda -Wl,
 
 INCLUDES := \
 	-I$(GPR_CPP_DIR)/include \
-	-I$(GPR_CUDA_INC_DIR) \
+	$(GPR_CUDA_INC_FLAGS) \
 	-Idata_acq_and_processing/common_cpp/ipc/include \
 	-Idata_acq_and_processing/common_cpp/config/include \
 	-Idata_acq_and_processing/third_party \

python_app/scripts/replay_raw_producer.py

@@ -164,7 +164,11 @@ def main() -> int:
     rate_scale = float(replay.rate_scale) if replay.rate_scale > 0 else 1.0
     combos = [ComboKey(input=combo.input, output=combo.output) for combo in config.combos]
 
-    dataset = _load_dataset(Path(replay.dataset_dir), combos, int(config.radar.sweep.points))
+    # expanduser: profiles are copied between machines, so "~/..." dataset paths
+    # must resolve against the local home instead of failing as a literal "~".
+    dataset = _load_dataset(
+        Path(replay.dataset_dir).expanduser(), combos, int(config.radar.sweep.points)
+    )
     logger.info(
         "Replay producer starting: dataset=%s, snapshots=%d, combos=%d, "
         "median_gap=%.3f s, loop=%s, rate_scale=%.2f",

python_app/scripts/replay_smoke_run.py

@@ -140,7 +140,8 @@ def main() -> int:
 
     config = RunConfigModel.load_from_path(args.config)
     config.ensure_combos()
-    dataset_dir = Path(config.radar.replay.dataset_dir)
+    # expanduser: "~/..." dataset paths from machine-portable profiles.
+    dataset_dir = Path(config.radar.replay.dataset_dir).expanduser()
     if not dataset_dir.is_dir():
         raise RuntimeError(f"Replay dataset not found: {dataset_dir}")