From c3ea9bffd821e0e222893155cd95f06490838df6 Mon Sep 17 00:00:00 2001 From: DEFAULTE-R Date: Tue, 17 Mar 2026 06:22:50 +0000 Subject: [PATCH 01/10] feat(node-hub): add dora-tflite edge inference node for constrained devices --- node-hub/dora-tflite/README.md | 35 ++++++++++ node-hub/dora-tflite/dora_tflite/__init__.py | 0 node-hub/dora-tflite/dora_tflite/main.py | 73 ++++++++++++++++++++ node-hub/dora-tflite/pyproject.toml | 34 +++++++++ 4 files changed, 142 insertions(+) create mode 100644 node-hub/dora-tflite/README.md create mode 100644 node-hub/dora-tflite/dora_tflite/__init__.py create mode 100644 node-hub/dora-tflite/dora_tflite/main.py create mode 100644 node-hub/dora-tflite/pyproject.toml diff --git a/node-hub/dora-tflite/README.md b/node-hub/dora-tflite/README.md new file mode 100644 index 00000000..bd6f4959 --- /dev/null +++ b/node-hub/dora-tflite/README.md @@ -0,0 +1,35 @@ +# dora-tflite + +A Dora node for running TensorFlow Lite inference on edge and constrained devices (Raspberry Pi, microcontrollers). + +## Installation + +```bash +pip install dora-tflite +``` + +## Usage + +```yaml +nodes: + - id: tflite-inference + path: dora-tflite + inputs: + tensor: source/tensor + outputs: + - inference + env: + MODEL: path/to/model.tflite +``` + +## Inputs + +- `tensor`: Input tensor as a flat array (PyArrow) + +## Outputs + +- `inference`: Output tensor as a flat array (PyArrow) + +## Environment Variables + +- `MODEL`: Path to the .tflite model file (default: model.tflite) diff --git a/node-hub/dora-tflite/dora_tflite/__init__.py b/node-hub/dora-tflite/dora_tflite/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/node-hub/dora-tflite/dora_tflite/main.py b/node-hub/dora-tflite/dora_tflite/main.py new file mode 100644 index 00000000..7dd498ab --- /dev/null +++ b/node-hub/dora-tflite/dora_tflite/main.py @@ -0,0 +1,73 @@ +"""Dora node for TensorFlow Lite inference on edge/constrained devices.""" + +import argparse +import os + +import numpy as np +import pyarrow as pa +from dora import Node + + +def main(): + """Run the dora-tflite inference node.""" + parser = argparse.ArgumentParser( + description="dora-tflite: TensorFlow Lite inference node for edge deployment.", + ) + parser.add_argument( + "--name", + type=str, + required=False, + help="The name of the node in the dataflow.", + default="dora-tflite", + ) + parser.add_argument( + "--model", + type=str, + required=False, + help="Path to the .tflite model file.", + default="model.tflite", + ) + args = parser.parse_args() + + model_path = os.getenv("MODEL", args.model) + + try: + import tflite_runtime.interpreter as tflite + interpreter = tflite.Interpreter(model_path=model_path) + except ImportError: + import tensorflow as tf + interpreter = tf.lite.Interpreter(model_path=model_path) + + interpreter.allocate_tensors() + input_details = interpreter.get_input_details() + output_details = interpreter.get_output_details() + + node = Node(args.name) + pa.array([]) + + for event in node: + event_type = event["type"] + + if event_type == "INPUT": + event_id = event["id"] + + if event_id == "tensor": + storage = event["value"] + input_data = storage.to_numpy().astype(input_details[0]["dtype"]) + input_shape = input_details[0]["shape"] + input_data = input_data.reshape(input_shape) + + interpreter.set_tensor(input_details[0]["index"], input_data) + interpreter.invoke() + + output_data = interpreter.get_tensor(output_details[0]["index"]) + result = pa.array(output_data.ravel().tolist()) + + node.send_output("inference", result, event["metadata"]) + + elif event_type == "ERROR": + print(f"Received dora error: {event['error']}") + + +if __name__ == "__main__": + main() diff --git a/node-hub/dora-tflite/pyproject.toml b/node-hub/dora-tflite/pyproject.toml new file mode 100644 index 00000000..4000daa6 --- /dev/null +++ b/node-hub/dora-tflite/pyproject.toml @@ -0,0 +1,34 @@ +[project] +name = "dora-tflite" +version = "0.0.1" +authors = [ + { name = "Hari L", email = "harilogesh2019@gmail.com" }, +] +description = "Dora Node for edge inference using TensorFlow Lite — optimised for constrained devices (Raspberry Pi, microcontrollers)" +license = { text = "MIT" } +readme = "README.md" +requires-python = ">=3.8" +dependencies = [ + "dora-rs >= 0.4.0", + "numpy>=1.24.4,<2; python_version == "3.8"", + "numpy>=2.0.0; python_version >= "3.9"", + "tflite-runtime >= 2.14.0", +] + +[dependency-groups] +dev = ["pytest >=8.1.1", "ruff >=0.9.1"] + +[project.scripts] +dora-tflite = "dora_tflite.main:main" + +[tool.ruff.lint] +extend-select = [ + "D", + "UP", + "PERF", + "RET", + "RSE", + "NPY", + "N", + "I", +] From 0498a27e58e9ae713267f7ec3f1bf7e17b404c88 Mon Sep 17 00:00:00 2001 From: DEFAULTE-R Date: Wed, 18 Mar 2026 00:23:29 +0000 Subject: [PATCH 02/10] feat(node-hub): add tests and fix pyproject.toml for dora-tflite node --- node-hub/dora-tflite/pyproject.toml | 23 +- node-hub/dora-tflite/tests/__init__.py | 0 .../dora-tflite/tests/test_tflite_node.py | 27 + node-hub/dora-tflite/uv.lock | 682 ++++++++++++++++++ 4 files changed, 715 insertions(+), 17 deletions(-) create mode 100644 node-hub/dora-tflite/tests/__init__.py create mode 100644 node-hub/dora-tflite/tests/test_tflite_node.py create mode 100644 node-hub/dora-tflite/uv.lock diff --git a/node-hub/dora-tflite/pyproject.toml b/node-hub/dora-tflite/pyproject.toml index 4000daa6..8138b852 100644 --- a/node-hub/dora-tflite/pyproject.toml +++ b/node-hub/dora-tflite/pyproject.toml @@ -4,31 +4,20 @@ version = "0.0.1" authors = [ { name = "Hari L", email = "harilogesh2019@gmail.com" }, ] -description = "Dora Node for edge inference using TensorFlow Lite — optimised for constrained devices (Raspberry Pi, microcontrollers)" +description = "Dora Node for edge inference using TensorFlow Lite for constrained devices" license = { text = "MIT" } readme = "README.md" -requires-python = ">=3.8" +requires-python = ">=3.9" dependencies = [ "dora-rs >= 0.4.0", - "numpy>=1.24.4,<2; python_version == "3.8"", - "numpy>=2.0.0; python_version >= "3.9"", - "tflite-runtime >= 2.14.0", + "numpy>=1.24.4", ] +[project.optional-dependencies] +tflite = ["tflite-runtime >= 2.14.0"] + [dependency-groups] dev = ["pytest >=8.1.1", "ruff >=0.9.1"] [project.scripts] dora-tflite = "dora_tflite.main:main" - -[tool.ruff.lint] -extend-select = [ - "D", - "UP", - "PERF", - "RET", - "RSE", - "NPY", - "N", - "I", -] diff --git a/node-hub/dora-tflite/tests/__init__.py b/node-hub/dora-tflite/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/node-hub/dora-tflite/tests/test_tflite_node.py b/node-hub/dora-tflite/tests/test_tflite_node.py new file mode 100644 index 00000000..489347ae --- /dev/null +++ b/node-hub/dora-tflite/tests/test_tflite_node.py @@ -0,0 +1,27 @@ +"""Tests for dora-tflite inference node.""" + +import numpy as np +import pytest + + +def test_input_reshape(): + """Test that input data reshapes correctly to model input shape.""" + input_shape = [1, 224, 224, 3] + dummy_data = np.random.rand(224 * 224 * 3).astype(np.float32) + reshaped = dummy_data.reshape(input_shape) + assert reshaped.shape == tuple(input_shape) + + +def test_output_ravel(): + """Test that output tensor flattens correctly for pyarrow serialization.""" + dummy_output = np.array([[0.1, 0.9]], dtype=np.float32) + raveled = dummy_output.ravel().tolist() + assert len(raveled) == 2 + assert abs(raveled[0] - 0.1) < 1e-5 + + +def test_dtype_cast(): + """Test that input data is cast to correct dtype.""" + data = np.array([1.0, 2.0, 3.0], dtype=np.float64) + casted = data.astype(np.float32) + assert casted.dtype == np.float32 diff --git a/node-hub/dora-tflite/uv.lock b/node-hub/dora-tflite/uv.lock new file mode 100644 index 00000000..6a93ea91 --- /dev/null +++ b/node-hub/dora-tflite/uv.lock @@ -0,0 +1,682 @@ +version = 1 +revision = 3 +requires-python = ">=3.9" +resolution-markers = [ + "python_full_version >= '3.11'", + "python_full_version 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+[tool.ruff] +target-version = "py39" + +[tool.ruff.lint] +select = ["E", "F", "I"] +ignore = [] From c0f637a3f75187db33404b294c4f743f7d4f450f Mon Sep 17 00:00:00 2001 From: DEFAULTE-R Date: Wed, 18 Mar 2026 00:45:24 +0000 Subject: [PATCH 04/10] fix(node-hub/dora-tflite): address Copilot review feedback --- node-hub/dora-tflite/dora_tflite/main.py | 12 +++++++++--- node-hub/dora-tflite/tests/test_tflite_node.py | 10 +++++++++- 2 files changed, 18 insertions(+), 4 deletions(-) diff --git a/node-hub/dora-tflite/dora_tflite/main.py b/node-hub/dora-tflite/dora_tflite/main.py index 7dd498ab..f8b0adce 100644 --- a/node-hub/dora-tflite/dora_tflite/main.py +++ b/node-hub/dora-tflite/dora_tflite/main.py @@ -35,8 +35,14 @@ def main(): import tflite_runtime.interpreter as tflite interpreter = tflite.Interpreter(model_path=model_path) except ImportError: - import tensorflow as tf - interpreter = tf.lite.Interpreter(model_path=model_path) + try: + import tensorflow as tf + interpreter = tf.lite.Interpreter(model_path=model_path) + except ImportError as exc: + raise RuntimeError( + "Failed to import both tflite_runtime and tensorflow. " + "Please install either the tflite extra or tensorflow." + ) from exc interpreter.allocate_tensors() input_details = interpreter.get_input_details() @@ -61,7 +67,7 @@ def main(): interpreter.invoke() output_data = interpreter.get_tensor(output_details[0]["index"]) - result = pa.array(output_data.ravel().tolist()) + result = pa.array(output_data.ravel()) node.send_output("inference", result, event["metadata"]) diff --git a/node-hub/dora-tflite/tests/test_tflite_node.py b/node-hub/dora-tflite/tests/test_tflite_node.py index 489347ae..eea73763 100644 --- a/node-hub/dora-tflite/tests/test_tflite_node.py +++ b/node-hub/dora-tflite/tests/test_tflite_node.py @@ -3,6 +3,8 @@ import numpy as np import pytest +from dora_tflite.main import main + def test_input_reshape(): """Test that input data reshapes correctly to model input shape.""" @@ -15,7 +17,7 @@ def test_input_reshape(): def test_output_ravel(): """Test that output tensor flattens correctly for pyarrow serialization.""" dummy_output = np.array([[0.1, 0.9]], dtype=np.float32) - raveled = dummy_output.ravel().tolist() + raveled = dummy_output.ravel() assert len(raveled) == 2 assert abs(raveled[0] - 0.1) < 1e-5 @@ -25,3 +27,9 @@ def test_dtype_cast(): data = np.array([1.0, 2.0, 3.0], dtype=np.float64) casted = data.astype(np.float32) assert casted.dtype == np.float32 + + +def test_import_main(): + """Smoke test: main() should raise SystemExit or RuntimeError outside Dora dataflow.""" + with pytest.raises((SystemExit, RuntimeError, Exception)): + main() From 4b0d83592d5ee40d3098c83220b5744aaa0e06c3 Mon Sep 17 00:00:00 2001 From: DEFAULTE-R Date: Wed, 25 Mar 2026 12:27:29 +0000 Subject: [PATCH 05/10] feat: add smolagents-based agent node with Ollama support --- node-hub/dora-smolagents | 1 + 1 file changed, 1 insertion(+) create mode 160000 node-hub/dora-smolagents diff --git a/node-hub/dora-smolagents b/node-hub/dora-smolagents new file mode 160000 index 00000000..30c8b91b --- /dev/null +++ b/node-hub/dora-smolagents @@ -0,0 +1 @@ +Subproject commit 30c8b91b29fbd317674ff4b698b2203c23579e81 From f0b43093c9e49cf7ffa36ee4eff278c11eb3df2d Mon Sep 17 00:00:00 2001 From: DEFAULTE-R Date: Thu, 26 Mar 2026 02:45:33 +0000 Subject: [PATCH 06/10] feat: add observability tracing to dora-smolagents node --- node-hub/dora-smolagents | 1 - node-hub/dora-smolagents/README.md | 33 +++++++++++ node-hub/dora-smolagents/dataflow.yml | 10 ++++ .../dora-smolagents/dora_smolagents/main.py | 59 +++++++++++++++++++ 4 files changed, 102 insertions(+), 1 deletion(-) delete mode 160000 node-hub/dora-smolagents create mode 100644 node-hub/dora-smolagents/README.md create mode 100644 node-hub/dora-smolagents/dataflow.yml create mode 100644 node-hub/dora-smolagents/dora_smolagents/main.py diff --git a/node-hub/dora-smolagents b/node-hub/dora-smolagents deleted file mode 160000 index 30c8b91b..00000000 --- a/node-hub/dora-smolagents +++ /dev/null @@ -1 +0,0 @@ -Subproject commit 30c8b91b29fbd317674ff4b698b2203c23579e81 diff --git a/node-hub/dora-smolagents/README.md b/node-hub/dora-smolagents/README.md new file mode 100644 index 00000000..d4ae28e0 --- /dev/null +++ b/node-hub/dora-smolagents/README.md @@ -0,0 +1,33 @@ +# dora-smolagents + +A minimal Dora node integrating smolagents with a local LLM (Ollama). + +## Features +- Accepts natural language commands (agent/command) +- Uses smolagents for reasoning +- Executes tool-based actions +- Outputs structured JSON (agent/action) +- LLM-agnostic via LiteLLM + +## Example +Input: +move forward + +Output: +{"action": "move_forward"} + +## Setup +pip install smolagents litellm +ollama serve +ollama pull mistral + +## Run +dora run dataflow.yml + +## Architecture +agent/command -> smolagents node -> agent/action + +## Notes +- Uses local LLM (Ollama), no API key required +- Easily extensible with new tools and models + diff --git a/node-hub/dora-smolagents/dataflow.yml b/node-hub/dora-smolagents/dataflow.yml new file mode 100644 index 00000000..06bdd533 --- /dev/null +++ b/node-hub/dora-smolagents/dataflow.yml @@ -0,0 +1,10 @@ +nodes: + - id: smol_agent + path: dora_smolagents/main.py + +connections: + - from: input/command + to: smol_agent/command + + - from: smol_agent/action + to: output/action diff --git a/node-hub/dora-smolagents/dora_smolagents/main.py b/node-hub/dora-smolagents/dora_smolagents/main.py new file mode 100644 index 00000000..dcfd752c --- /dev/null +++ b/node-hub/dora-smolagents/dora_smolagents/main.py @@ -0,0 +1,59 @@ +import json +from smolagents import CodeAgent, Tool +from smolagents.models import LiteLLMModel + +# --- Tools --- +class MoveForwardTool(Tool): + name = "move_forward" + description = "Move the robot forward" + inputs = {} + output_type = "object" + + def forward(self): + return {"action": "move_forward"} + +class StopTool(Tool): + name = "stop_motion" + description = "Stop the robot" + inputs = {} + output_type = "object" + + def forward(self): + return {"action": "stop"} + +# --- Agent setup --- +model = LiteLLMModel( + model="ollama/mistral", + api_base="http://localhost:11434" +) + +agent = CodeAgent( + tools=[MoveForwardTool(), StopTool()], + model=model, + max_steps=1 +) + +# --- Dora node --- +def handle_event(event): + if event["type"] == "INPUT" and event["id"] == "command": + command = event["value"] + print(f"[TRACE] agent.input: {command}") + + import time + start = time.time() + result = agent.run(command) + print(f"[TRACE] agent.output: {result}") + end = time.time() + print(f"[TRACE] agent.latency: {end - start:.3f}s") + + # Extract clean action (fallback safe) + if isinstance(result, dict): + action = result + else: + action = {"action": "unknown"} + + return { + "type": "OUTPUT", + "id": "action", + "value": json.dumps(action) + } From 940721734a9b9a66a87111ab9b7d380b799bf047 Mon Sep 17 00:00:00 2001 From: DEFAULTE-R Date: Tue, 7 Apr 2026 13:17:57 +0000 Subject: [PATCH 07/10] fix: replace broken smolagents folder with proper submodule --- .gitmodules | 3 + node-hub/dora-smolagents | 1 + node-hub/dora-smolagents/README.md | 33 ----------- node-hub/dora-smolagents/dataflow.yml | 10 ---- .../dora-smolagents/dora_smolagents/main.py | 59 ------------------- 5 files changed, 4 insertions(+), 102 deletions(-) create mode 160000 node-hub/dora-smolagents delete mode 100644 node-hub/dora-smolagents/README.md delete mode 100644 node-hub/dora-smolagents/dataflow.yml delete mode 100644 node-hub/dora-smolagents/dora_smolagents/main.py diff --git a/.gitmodules b/.gitmodules index 30a03408..54f1c751 100644 --- a/.gitmodules +++ b/.gitmodules @@ -4,3 +4,6 @@ [submodule "node-hub/dora-magma/dora_magma/Magma"] path = dora-magma/dora_magma/Magma url = https://github.com/microsoft/Magma +[submodule "node-hub/dora-smolagents"] + path = node-hub/dora-smolagents + url = https://github.com/DEFAULTE-R/dora-smolagents.git diff --git a/node-hub/dora-smolagents b/node-hub/dora-smolagents new file mode 160000 index 00000000..30c8b91b --- /dev/null +++ b/node-hub/dora-smolagents @@ -0,0 +1 @@ +Subproject commit 30c8b91b29fbd317674ff4b698b2203c23579e81 diff --git a/node-hub/dora-smolagents/README.md b/node-hub/dora-smolagents/README.md deleted file mode 100644 index d4ae28e0..00000000 --- a/node-hub/dora-smolagents/README.md +++ /dev/null @@ -1,33 +0,0 @@ -# dora-smolagents - -A minimal Dora node integrating smolagents with a local LLM (Ollama). - -## Features -- Accepts natural language commands (agent/command) -- Uses smolagents for reasoning -- Executes tool-based actions -- Outputs structured JSON (agent/action) -- LLM-agnostic via LiteLLM - -## Example -Input: -move forward - -Output: -{"action": "move_forward"} - -## Setup -pip install smolagents litellm -ollama serve -ollama pull mistral - -## Run -dora run dataflow.yml - -## Architecture -agent/command -> smolagents node -> agent/action - -## Notes -- Uses local LLM (Ollama), no API key required -- Easily extensible with new tools and models - diff --git a/node-hub/dora-smolagents/dataflow.yml b/node-hub/dora-smolagents/dataflow.yml deleted file mode 100644 index 06bdd533..00000000 --- a/node-hub/dora-smolagents/dataflow.yml +++ /dev/null @@ -1,10 +0,0 @@ -nodes: - - id: smol_agent - path: dora_smolagents/main.py - -connections: - - from: input/command - to: smol_agent/command - - - from: smol_agent/action - to: output/action diff --git a/node-hub/dora-smolagents/dora_smolagents/main.py b/node-hub/dora-smolagents/dora_smolagents/main.py deleted file mode 100644 index dcfd752c..00000000 --- a/node-hub/dora-smolagents/dora_smolagents/main.py +++ /dev/null @@ -1,59 +0,0 @@ -import json -from smolagents import CodeAgent, Tool -from smolagents.models import LiteLLMModel - -# --- Tools --- -class MoveForwardTool(Tool): - name = "move_forward" - description = "Move the robot forward" - inputs = {} - output_type = "object" - - def forward(self): - return {"action": "move_forward"} - -class StopTool(Tool): - name = "stop_motion" - description = "Stop the robot" - inputs = {} - output_type = "object" - - def forward(self): - return {"action": "stop"} - -# --- Agent setup --- -model = LiteLLMModel( - model="ollama/mistral", - api_base="http://localhost:11434" -) - -agent = CodeAgent( - tools=[MoveForwardTool(), StopTool()], - model=model, - max_steps=1 -) - -# --- Dora node --- -def handle_event(event): - if event["type"] == "INPUT" and event["id"] == "command": - command = event["value"] - print(f"[TRACE] agent.input: {command}") - - import time - start = time.time() - result = agent.run(command) - print(f"[TRACE] agent.output: {result}") - end = time.time() - print(f"[TRACE] agent.latency: {end - start:.3f}s") - - # Extract clean action (fallback safe) - if isinstance(result, dict): - action = result - else: - action = {"action": "unknown"} - - return { - "type": "OUTPUT", - "id": "action", - "value": json.dumps(action) - } From 63f5fd610272ee1423a7e48cbf3f215dc60a202f Mon Sep 17 00:00:00 2001 From: DEFAULTE-R Date: Tue, 7 Apr 2026 16:23:19 +0000 Subject: [PATCH 08/10] chore: update smolagents submodule to latest fixed version --- node-hub/dora-smolagents | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/node-hub/dora-smolagents b/node-hub/dora-smolagents index 30c8b91b..56e9aa8c 160000 --- a/node-hub/dora-smolagents +++ b/node-hub/dora-smolagents @@ -1 +1 @@ -Subproject commit 30c8b91b29fbd317674ff4b698b2203c23579e81 +Subproject commit 56e9aa8cf3fc8489d8e5f92340fae61207c7cd8f From 70b3079ea4abbd28add74e08dcf2edc498a4a44c Mon Sep 17 00:00:00 2001 From: DEFAULTE-R Date: Fri, 10 Apr 2026 18:00:34 +0000 Subject: [PATCH 09/10] fix: align dora-node-api with message format v0.8 --- Cargo.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/Cargo.toml b/Cargo.toml index 370b8d10..9d197677 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -28,12 +28,12 @@ license = "Apache-2.0" repository = "https://github.com/dora-rs/dora-hub/" [workspace.dependencies] -dora-node-api = { version = "0.4.1", default-features = false } +dora-node-api = { version = "0.5.0", default-features = false } dora-operator-api = { version = "0.4.1", default-features = false } dora-operator-api-macros = { version = "0.4.1" } dora-operator-api-types = { version = "0.4.1" } dora-operator-api-c = { version = "0.4.1" } -dora-node-api-c = { version = "0.4.1" } +dora-node-api-c = { version = "0.5.0" } dora-core = { version = "0.4.1" } dora-arrow-convert = { version = "0.4.1" } dora-tracing = { version = "0.4.1" } From 44c1a20272101d621d379746002050c21f085d13 Mon Sep 17 00:00:00 2001 From: DEFAULTE-R Date: Mon, 20 Apr 2026 08:22:10 +0000 Subject: [PATCH 10/10] fix: correct dependencies and narrow test exception handling --- node-hub/dora-tflite/pyproject.toml | 7 ++++--- node-hub/dora-tflite/tests/test_tflite_node.py | 2 +- 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/node-hub/dora-tflite/pyproject.toml b/node-hub/dora-tflite/pyproject.toml index ea3352d7..52848442 100644 --- a/node-hub/dora-tflite/pyproject.toml +++ b/node-hub/dora-tflite/pyproject.toml @@ -16,9 +16,10 @@ dependencies = [ [project.optional-dependencies] tflite = ["tflite-runtime >= 2.14.0"] -[dependency-groups] -dev = ["pytest >=8.1.1", "ruff >=0.9.1"] - +dev = [ + "pytest>=8.1.1", + "ruff>=0.9.1" +] [project.scripts] dora-tflite = "dora_tflite.main:main" diff --git a/node-hub/dora-tflite/tests/test_tflite_node.py b/node-hub/dora-tflite/tests/test_tflite_node.py index eea73763..9626057e 100644 --- a/node-hub/dora-tflite/tests/test_tflite_node.py +++ b/node-hub/dora-tflite/tests/test_tflite_node.py @@ -31,5 +31,5 @@ def test_dtype_cast(): def test_import_main(): """Smoke test: main() should raise SystemExit or RuntimeError outside Dora dataflow.""" - with pytest.raises((SystemExit, RuntimeError, Exception)): + with pytest.raises((SystemExit, RuntimeError)): main()