diff --git a/src/lava/utils/loihi.py b/src/lava/utils/loihi.py
new file mode 100644
index 000000000..f9c302566
--- /dev/null
+++ b/src/lava/utils/loihi.py
@@ -0,0 +1,123 @@
+# Copyright (C) 2022 Intel Corporation
+# SPDX-License-Identifier: BSD-3-Clause
+# See: https://spdx.org/licenses/
+
+import os
+import typing as ty
+import importlib.util
+import enum
+
+from lava.utils import slurm
+
+
+host: ty.Optional[str] = None
+
+
+class ChipGeneration(enum.Enum):
+ """ ChipGeneration enumerates the valid Loihi chip generations. """
+ N2A2 = "N2A2"
+ N3B2 = "N3B2"
+ N3B3 = "N3B3" # Most Loihi 2 systems available to the INRC are N3B3.
+ N3C1 = "N3C1" # Some Loihi 2 systems provided to INRC members are N3C1.
+ N3D1 = "N3D1"
+
+
+def use_slurm_host(
+ partition: ty.Optional[str] = None,
+ board: ty.Optional[str] = None,
+ loihi_gen: ty.Optional[ChipGeneration] = ChipGeneration.N3B3
+) -> None:
+ """ Use SLURM to run Lava models on Loihi 2. This function should be
+ called prior to running models on the Intel neuromorphic research cloud,
+ or if you have setup a SLURM scheduler on your local infrastructure.
+
+ This function checks whether Lava-Loihi is installed and raises an
+ ImportError if it is not found.
+
+ Parameters
+ ----------
+ partition : Optional[str], default = None
+ The SLURM partition from which a suitable node should be selected. If
+ partition is specified, board should be None.
+ board : Optional[str], default = None
+ The SLURM board (node name) on which any Lava process should run. If
+ board is specified, partition should be None.
+ loihi_gen : Optional[str], default = ChipGeneration.N3B3
+ The Loihi chip generation needed for the Lava processes.
+ """
+ if not is_installed():
+ raise ImportError("Attempting to use SLURM for Loihi2 but "
+ "Lava-Loihi is not installed.")
+
+ slurm.enable()
+
+ os.environ["LOIHI_GEN"] = loihi_gen.value
+
+ slurm.set_board(board, partition)
+ slurm.set_partition(partition)
+
+ global host
+ host = "SLURM"
+
+
+def use_ethernet_host(
+ host_address: str,
+ host_binary_path: ty.Optional[str] = "nxcore/bin/nx_driver_server",
+ loihi_gen: ty.Optional[ChipGeneration] = ChipGeneration.N3B3
+) -> None:
+ """Set environment to connect directly to an Oheo Gulch host on the network.
+ This should be used to run on Kapoho Point and Kapoho Point SC systems when
+ not using SLURM.
+
+ This function checks whether Lava-Loihi is installed and raises an
+ ImportError if it is not found.
+
+ This function attempts to ping the host address to ensure that the
+ host is running and accessible. If ping fails, it raises a ValueError.
+
+ Call slurm.is_available() to determine whether SLURM is available.
+
+ Parameters
+ ----------
+ host_address : str
+ The IP address of the host system to use.
+ host_binary_path : str
+ The path to the nxcore binary on the host.
+ loihi_gen : ChipGeneration
+ The generation of the Loihi board to compile. Supported
+ values are N3B2, N3B3, and N3C1.
+ """
+ if not is_installed():
+ raise ImportError("Attempting to use Loihi2 but Lava-Loihi is "
+ "not installed.")
+
+ if not slurm.try_run_command(["ping", host_address, "-c 1"]):
+ raise ValueError(f"Attempting to use ethernet host for Loihi2 "
+ f"but `ping {host_address}` failed.")
+
+ slurm.disable()
+
+ os.environ["NXSDKHOST"] = host_address
+ os.environ["HOST_BINARY"] = host_binary_path
+ os.environ["LOIHI_GEN"] = loihi_gen.value
+
+ global host
+ host = "ETHERNET"
+
+
+def is_installed(module_name: str = "lava.utils.loihi2_profiler") -> bool:
+ """Returns whether the Lava extension for Loihi is installed.
+
+ Parameters
+ ----------
+ module_name : Optional[str]
+ Name of the module to check for checking install.
+
+ Returns
+ -------
+ bool
+ True iff lava-loihi can be imported in this Python environment.
+ """
+ spec = importlib.util.find_spec(module_name)
+
+ return False if spec is None else True
diff --git a/src/lava/utils/slurm.py b/src/lava/utils/slurm.py
new file mode 100644
index 000000000..8d38842ce
--- /dev/null
+++ b/src/lava/utils/slurm.py
@@ -0,0 +1,235 @@
+# Copyright (C) 2022 Intel Corporation
+# SPDX-License-Identifier: BSD-3-Clause
+# See: https://spdx.org/licenses/
+
+from __future__ import annotations
+import os
+import subprocess # nosec - commands are trusted
+import typing as ty
+from dataclasses import dataclass
+
+
+def is_available() -> bool:
+ """ Returns true iff the current system has a SLURM controller enabled."""
+ if not try_run_command(["sinfo"]):
+ return False
+ return True
+
+
+def enable() -> None:
+ """ Enable the use of SLURM for Loihi. """
+ if not is_available():
+ raise ValueError("Attempting to use SLURM for Loihi but "
+ "SLURM controller is not available.")
+
+ os.environ["SLURM"] = "1"
+ os.environ.pop("NOSLURM", None)
+
+
+def disable() -> None:
+ """ Disable the use of SLURM for Loihi. """
+ os.environ.pop("SLURM", None)
+ os.environ["NOSLURM"] = "1"
+
+
+def set_board(board: ty.Optional[str],
+ partition: ty.Optional[str] = None) -> None:
+ """ Set the Loihi board in SLURM to run on, or clear
+ any board set if board is None.
+
+ Use `get_boards` to see all available boards.
+
+ Parameters
+ ----------
+ board : Optional[str]
+ The Loihi board to use. If None, no board will be specified.
+ partition : Optional[str], default = None
+ The partition that is being used for SLURM jobs. If not None,
+ it will be compared against the partition of the specified
+ board, and a ValueError will be raised if they are not equal.
+ """
+ if board is None:
+ os.environ.pop("BOARD", None)
+ return
+
+ board_info = get_board_info(board)
+
+ if board_info is None or "down" in board_info.state:
+ raise ValueError(
+ f"Attempting to use SLURM for Loihi but board {board} "
+ f"is not found or board is down. Run sinfo to check "
+ f"available boards.")
+
+ if partition and partition != board_info.partition:
+ raise ValueError(
+ f"Attempting to use SLURM for Loihi with board {board} "
+ f"and partition {partition} but board is not in partition. "
+ f"Specify only board or partition.")
+
+ os.environ["BOARD"] = board
+
+
+def set_partition(partition: ty.Optional[str]) -> None:
+ """ Set the partition in SLURM to run on, or clear any partition
+ set if partition is None.
+
+ Parameters
+ ----------
+ partition : Optional[str]
+ The partition to use. If None, no partition will be specified.
+ """
+ if partition is None:
+ os.environ.pop("PARTITION", None)
+ return
+
+ partition_info = get_partition_info(partition)
+
+ if partition_info is None or "down" in partition_info.state:
+ raise ValueError(
+ f"Attempting to use SLURM for Loihi but partition {partition} "
+ f"is not found or is down. Run sinfo to check available "
+ f"partitions.")
+
+ os.environ["PARTITION"] = partition
+
+
+def partition() -> str:
+ """Get the partition information."""
+ if "PARTITION" in os.environ.keys():
+ return os.environ["PARTITION"]
+
+ return "Unspecified"
+
+
+def get_partitions() -> ty.List[PartitionInfo]:
+ """Returns the list of available partitions from the SLURM controller
+ or an empty list if SLURM is not available or has no partitions.
+
+ Returns
+ -------
+ List[PartitionInfo]
+ A list of all available partitions.
+ """
+ if not is_available():
+ return []
+
+ lines = try_run_command(["sinfo"])
+ del lines[0] # Remove header of table
+
+ def parse_partition(line: str) -> PartitionInfo:
+ fields = line.split()
+
+ return PartitionInfo(name=fields[0],
+ available=fields[1],
+ timelimit=fields[2],
+ nodes=fields[3],
+ state=fields[4],
+ nodelist=fields[5])
+
+ return [parse_partition(line) for line in lines]
+
+
+def get_partition_info(partition_name: str) -> ty.Optional[PartitionInfo]:
+ """Get the SLURM info for the specified partition, if available.
+
+ Parameters
+ ----------
+ partition_name : str
+ The name of the partition to return.
+
+ Returns
+ -------
+ Optional[PartitionInfo]
+ The partition information for the partition or None if the SLURM
+ controller does not have the specified partition.
+ """
+ matching_partitions = [p for p in get_partitions()
+ if p.name == partition_name]
+
+ return next(iter(matching_partitions), None)
+
+
+@dataclass
+class PartitionInfo:
+ name: str = ""
+ available: str = ""
+ timelimit: str = ""
+ nodes: str = ""
+ state: str = ""
+ nodelist: str = ""
+
+
+def get_boards() -> ty.List[BoardInfo]:
+ """Returns the list of available boards from the SLURM controller
+ or an empty list if SLURM is not available or has no boards.
+
+ Returns
+ -------
+ List[BoardInfo]
+ A list of all available boards.
+ """
+ if not is_available():
+ return []
+
+ lines = try_run_command(["sinfo", "-N"])
+ del lines[0] # Remove header of table
+
+ def parse_board(line: str) -> BoardInfo:
+ fields = line.split()
+
+ return BoardInfo(nodename=fields[0],
+ partition=fields[2],
+ state=fields[3])
+
+ return [parse_board(line) for line in lines]
+
+
+def get_board_info(nodename: str) -> ty.Optional[BoardInfo]:
+ """Get the SLURM info for the specified board, if available.
+
+ Parameters
+ ----------
+ nodename : str
+ The name of the board to return.
+
+ Returns
+ -------
+ Optional[BoardInfo]
+ The information for the board or None if the SLURM
+ controller does not have the specified board.
+ """
+ matching_boards = [b for b in get_boards()
+ if b.nodename == nodename]
+
+ return next(iter(matching_boards), None)
+
+
+@dataclass
+class BoardInfo:
+ nodename: str = ""
+ partition: str = ""
+ state: str = ""
+
+
+def try_run_command(command: ty.List[str]) -> ty.List[str]:
+ """Executes a command, captures the output, and splits it into a list of
+ lines (strings). Returns an empty list if executing the command raises
+ and exception.
+
+ Parameters
+ ----------
+ command : List[str]
+ Command and options, for instance 'sinfo -N' becomes ['sinfo', '-N']
+
+ Returns
+ -------
+ List[str]
+ Output of stdout of the command, separated into a list of lines (str).
+ """
+ try:
+ kwargs = dict(capture_output=True, check=True, timeout=1)
+ process = subprocess.run(command, text=True, **kwargs) # nosec # noqa
+ return process.stdout.split("\n")
+
+ except subprocess.SubprocessError:
+ return []
diff --git a/src/lava/utils/system.py b/src/lava/utils/system.py
deleted file mode 100644
index cfe87fd5e..000000000
--- a/src/lava/utils/system.py
+++ /dev/null
@@ -1,62 +0,0 @@
-# Copyright (C) 2022 Intel Corporation
-# SPDX-License-Identifier: BSD-3-Clause
-# See: https://spdx.org/licenses/
-
-import os
-from typing import Optional
-
-
-class staticproperty(property):
- """Wraps static member function of a class as a static property of that
- class.
- """
-
- def __get__(self, cls, owner):
- return staticmethod(self.fget).__get__(None, owner)()
-
-
-class Loihi2:
- preferred_partition: str = None
-
- @staticmethod
- def set_environ_settings(partititon: Optional[str] = None) -> None:
- """Sets the os environment for execution on Loihi.
-
- Parameters
- ----------
- partititon : str, optional
- Loihi partition name, by default None.
- """
- if 'SLURM' not in os.environ and 'NOSLURM' not in os.environ:
- os.environ['SLURM'] = '1'
- if 'LOIHI_GEN' not in os.environ:
- os.environ['LOIHI_GEN'] = 'N3B3'
- if 'PARTITION' not in os.environ and partititon is not None:
- os.environ['PARTITION'] = partititon
-
- @staticproperty
- def is_loihi2_available() -> bool:
- """Checks if Loihi2 compiler is available and sets the environment
- vairables.
-
- Returns
- -------
- bool
- Flag indicating whether Loih 2 is available or not.
- """
- try:
- from lava.magma.compiler.subcompilers.nc.ncproc_compiler import \
- CompilerOptions
- CompilerOptions.verbose = True
- except ModuleNotFoundError:
- # Loihi2 compiler is not availabe
- return False
- Loihi2.set_environ_settings(Loihi2.preferred_partition)
- return True
-
- @staticproperty
- def partition():
- """Get the partition information."""
- if 'PARTITION' in os.environ.keys():
- return os.environ['PARTITION']
- return 'Unspecified'
diff --git a/tests/lava/proc/spiker/__init__.py b/tests/lava/proc/spiker/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/tests/lava/utils/test_loihi.py b/tests/lava/utils/test_loihi.py
new file mode 100644
index 000000000..64fdf51c9
--- /dev/null
+++ b/tests/lava/utils/test_loihi.py
@@ -0,0 +1,198 @@
+# Copyright (C) 2023 Intel Corporation
+# SPDX-License-Identifier: BSD-3-Clause
+# See: https://spdx.org/licenses/
+
+import os
+import unittest
+from unittest.mock import MagicMock, patch
+import typing as ty
+
+from lava.utils import loihi, slurm
+
+
+def patch_use_slurm_host(environ: ty.Dict[str, ty.Any]) -> ty.Callable:
+ """Decorator to enable reuse of a set of patches.
+
+ Parameters
+ ----------
+ environ : dict
+ Dictionary that replaces all environment variables (os.environ) for
+ the duration of the test.
+ """
+
+ def decorator(test_function: ty.Callable) -> ty.Callable:
+ @patch.dict(os.environ, environ, clear=True)
+ @patch("lava.utils.slurm.get_board_info")
+ @patch("lava.utils.slurm.get_partition_info")
+ @patch("lava.utils.loihi.is_installed")
+ @patch("lava.utils.slurm.is_available")
+ def wrapper(*args) -> None:
+ test_function(*args)
+
+ return wrapper
+
+ return decorator
+
+
+class TestUseSlurmHost(unittest.TestCase):
+ @patch_use_slurm_host(environ={})
+ def test_use_slurm_host_with_board_and_partition(
+ self,
+ is_available,
+ is_installed,
+ get_partition_info,
+ get_board_info) -> None:
+ is_available.return_value = True
+ is_installed.return_value = True
+ get_partition_info.return_value = slurm.PartitionInfo()
+ get_board_info.return_value = slurm.BoardInfo(partition="partition1")
+
+ loihi.use_slurm_host(board="board1",
+ partition="partition1",
+ loihi_gen=loihi.ChipGeneration.N3C1)
+
+ self.assertEqual(os.environ["LOIHI_GEN"], "N3C1")
+ self.assertEqual(os.environ["BOARD"], "board1")
+ self.assertEqual(os.environ["PARTITION"], "partition1")
+ self.assertEqual(loihi.host, "SLURM")
+
+ @patch_use_slurm_host(environ={"PARTITION": "test"})
+ def test_use_slurm_host_with_board(
+ self,
+ is_available,
+ is_installed,
+ get_partition_info,
+ get_board_info) -> None:
+ is_available.return_value = True
+ is_installed.return_value = True
+ get_partition_info.return_value = slurm.PartitionInfo()
+ get_board_info.return_value = slurm.BoardInfo()
+
+ loihi.use_slurm_host(board="board1",
+ loihi_gen=loihi.ChipGeneration.N3C1)
+
+ self.assertEqual(os.environ["LOIHI_GEN"], "N3C1")
+ self.assertEqual(os.environ["BOARD"], "board1")
+ self.assertTrue("PARTITION" not in os.environ.keys())
+ self.assertEqual(loihi.host, "SLURM")
+
+ @patch_use_slurm_host(environ={"PARTITION": "test"})
+ def test_use_slurm_host_with_partition(
+ self,
+ is_available,
+ is_installed,
+ get_partition_info,
+ get_board_info) -> None:
+ is_available.return_value = True
+ is_installed.return_value = True
+ get_partition_info.return_value = slurm.PartitionInfo()
+ get_board_info.return_value = slurm.BoardInfo()
+
+ loihi.use_slurm_host(partition="partition1",
+ loihi_gen=loihi.ChipGeneration.N3C1)
+
+ self.assertEqual(os.environ["LOIHI_GEN"], "N3C1")
+ self.assertEqual(os.environ["PARTITION"], "partition1")
+ self.assertTrue("BOARD" not in os.environ.keys())
+ self.assertEqual(loihi.host, "SLURM")
+
+ @patch_use_slurm_host(environ={})
+ def test_use_slurm_host_when_lava_loihi_is_not_installed(
+ self,
+ is_available,
+ is_installed,
+ get_partition_info,
+ get_board_info) -> None:
+ is_available.return_value = True
+ is_installed.return_value = False
+ get_partition_info.return_value = slurm.PartitionInfo()
+ get_board_info.return_value = slurm.BoardInfo()
+
+ with self.assertRaises(ImportError):
+ loihi.use_slurm_host(board="board1",
+ partition="partition1",
+ loihi_gen=loihi.ChipGeneration.N3C1)
+
+ @patch_use_slurm_host(environ={})
+ def test_use_slurm_host_when_slurm_is_not_available(
+ self,
+ is_available,
+ is_installed,
+ get_partition_info,
+ get_board_info) -> None:
+ is_available.return_value = False
+ is_installed.return_value = True
+ get_partition_info.return_value = slurm.PartitionInfo()
+ get_board_info.return_value = slurm.BoardInfo()
+
+ with self.assertRaises(ValueError):
+ loihi.use_slurm_host(board="board1",
+ partition="partition1",
+ loihi_gen=loihi.ChipGeneration.N3C1)
+
+
+class TestUseEthernetHost(unittest.TestCase):
+ @patch.dict(os.environ, {}, clear=True)
+ @patch("lava.utils.loihi.is_installed")
+ @patch("lava.utils.slurm.try_run_command")
+ def test_use_ethernet_host(
+ self,
+ try_run_command,
+ is_installed) -> None:
+ try_run_command.return_value = ["1 packets transmitted, 1 received"]
+ is_installed.return_value = True
+
+ loihi.use_ethernet_host(host_address="test_address",
+ host_binary_path="test_path",
+ loihi_gen=loihi.ChipGeneration.N3C1)
+
+ self.assertEqual(os.environ["NXSDKHOST"], "test_address")
+ self.assertEqual(os.environ["HOST_BINARY"], "test_path")
+ self.assertEqual(os.environ["LOIHI_GEN"], "N3C1")
+ self.assertEqual(loihi.host, "ETHERNET")
+
+ @patch("lava.utils.loihi.is_installed")
+ def test_use_ethernet_host_when_lava_loihi_is_not_installed(
+ self,
+ is_installed) -> None:
+ is_installed.return_value = False
+
+ with self.assertRaises(ImportError):
+ loihi.use_ethernet_host(host_address="test_host",
+ host_binary_path="test_path")
+
+ @patch("lava.utils.loihi.is_installed")
+ @patch("lava.utils.slurm.try_run_command")
+ def test_use_ethernet_host_when_ping_fails(
+ self,
+ try_run_command,
+ is_installed) -> None:
+ try_run_command.return_value = []
+ is_installed.return_value = True
+
+ with self.assertRaises(ValueError):
+ loihi.use_ethernet_host(host_address="test_host",
+ host_binary_path="test_path")
+
+
+class TestIsInstalled(unittest.TestCase):
+ def test_on_known_installed_lava_module(self) -> None:
+ """Tests whether the method for checking on an installed library
+ works in general."""
+ self.assertTrue(loihi.is_installed("lava"))
+
+ @patch("importlib.util.find_spec")
+ def test_is_installed(self, find_spec) -> None:
+ """Tests whether the function detects when Lava-Loihi is installed."""
+ find_spec.return_value = \
+ MagicMock(spec="importlib.machinery.ModuleSpec")
+
+ self.assertTrue(loihi.is_installed())
+
+ @patch("importlib.util.find_spec")
+ def test_is_not_installed(self, find_spec) -> None:
+ """Tests whether the function detects when Lava-Loihi is not
+ installed."""
+ find_spec.return_value = None
+
+ self.assertFalse(loihi.is_installed())
diff --git a/tests/lava/utils/test_slurm.py b/tests/lava/utils/test_slurm.py
new file mode 100644
index 000000000..128e61b1a
--- /dev/null
+++ b/tests/lava/utils/test_slurm.py
@@ -0,0 +1,321 @@
+# Copyright (C) 2023 Intel Corporation
+# SPDX-License-Identifier: BSD-3-Clause
+# See: https://spdx.org/licenses/
+
+import subprocess # nosec
+import unittest
+from unittest.mock import patch, MagicMock
+import typing as ty
+import os
+
+from lava.utils import slurm
+
+
+def sinfo() -> ty.List[str]:
+ """Simulates a shell call to 'sinfo'."""
+ sinfo_msg = \
+ """PARTITION AVAIL TIMELIMIT NODES STATE NODELIST
+ partition1 up 30:00 1 idle node1
+ partition2 up 30:00 1 down node2"""
+ return sinfo_msg.split("\n")
+
+
+def sinfo_n() -> ty.List[str]:
+ """Simulates a shell call to 'sinfo -N'."""
+ sinfo_msg = \
+ """NODELIST NODES PARTITION STATE
+ node1 1 partition1 idle
+ node2 1 partition2 down"""
+ return sinfo_msg.split("\n")
+
+
+class TestEnable(unittest.TestCase):
+ @patch.dict(os.environ, {"NOSLURM": "1"}, clear=True)
+ @patch("lava.utils.slurm.is_available")
+ def test_enable(self, is_available) -> None:
+ is_available.return_value = True
+
+ slurm.enable()
+
+ self.assertEqual(os.environ["SLURM"], "1")
+ self.assertTrue("NOSLURM" not in os.environ.keys())
+
+ @patch.dict(os.environ, {}, clear=True)
+ @patch("lava.utils.slurm.is_available")
+ def test_enable_when_slurm_is_not_available(self, is_available) -> None:
+ is_available.return_value = False
+
+ with self.assertRaises(ValueError):
+ slurm.enable()
+
+
+class TestDisable(unittest.TestCase):
+ @patch.dict(os.environ, {"SLURM": "1"}, clear=True)
+ @patch("lava.utils.slurm.is_available")
+ def test_disable(self, is_available) -> None:
+ is_available.return_value = True
+
+ slurm.disable()
+
+ self.assertEqual(os.environ["NOSLURM"], "1")
+ self.assertTrue("SLURM" not in os.environ.keys())
+
+
+class TestSetBoard(unittest.TestCase):
+ @patch.dict(os.environ, {}, clear=True)
+ @patch("lava.utils.slurm.get_board_info")
+ def test_set_board_with_board_and_partition(
+ self,
+ get_board_info) -> None:
+ get_board_info.return_value = slurm.BoardInfo(partition="partition1")
+
+ slurm.set_board(board="board1", partition="partition1")
+
+ self.assertEqual(os.environ["BOARD"], "board1")
+
+ @patch.dict(os.environ, {}, clear=True)
+ @patch("lava.utils.slurm.get_board_info")
+ def test_set_board_with_board_alone(
+ self,
+ get_board_info) -> None:
+ get_board_info.return_value = slurm.BoardInfo()
+
+ slurm.set_board(board="board1")
+
+ self.assertEqual(os.environ["BOARD"], "board1")
+
+ @patch.dict(os.environ, {}, clear=True)
+ @patch("lava.utils.slurm.get_board_info")
+ def test_set_board_when_board_does_not_exist(
+ self,
+ get_board_info) -> None:
+ get_board_info.return_value = None
+
+ with self.assertRaises(ValueError):
+ slurm.set_board(board="board1", partition="partition1")
+
+ @patch.dict(os.environ, {}, clear=True)
+ @patch("lava.utils.slurm.get_board_info")
+ def test_set_board_when_board_is_down(
+ self,
+ get_board_info) -> None:
+ get_board_info.return_value = slurm.BoardInfo(state="down")
+
+ with self.assertRaises(ValueError):
+ slurm.set_board(board="board1", partition="partition1")
+
+ @patch.dict(os.environ, {}, clear=True)
+ @patch("lava.utils.slurm.get_board_info")
+ def test_set_board_when_board_is_not_in_partition(
+ self,
+ get_board_info) -> None:
+ get_board_info.return_value = slurm.BoardInfo(partition="not-p1")
+
+ with self.assertRaises(ValueError):
+ slurm.set_board(board="board1", partition="p1")
+
+
+class TestSetPartition(unittest.TestCase):
+ @patch.dict(os.environ, {"PARTITION": "test"}, clear=True)
+ @patch("lava.utils.slurm.get_partition_info")
+ def test_set_partition(
+ self,
+ get_partition_info) -> None:
+ get_partition_info.return_value = slurm.PartitionInfo()
+
+ slurm.set_partition(partition="partition1")
+
+ self.assertEqual(os.environ["PARTITION"], "partition1")
+
+ @patch.dict(os.environ, {}, clear=True)
+ @patch("lava.utils.slurm.get_partition_info")
+ def test_set_partition_when_partition_does_not_exist(
+ self,
+ get_partition_info) -> None:
+ get_partition_info.return_value = None
+
+ with self.assertRaises(ValueError):
+ slurm.set_partition(partition="partition1")
+
+ @patch.dict(os.environ, {}, clear=True)
+ @patch("lava.utils.slurm.get_partition_info")
+ def test_set_board_when_partition_is_down(
+ self,
+ get_partition_info) -> None:
+ get_partition_info.return_value = slurm.PartitionInfo(state="down")
+
+ with self.assertRaises(ValueError):
+ slurm.set_partition(partition="partition1")
+
+
+class TestPartition(unittest.TestCase):
+ @patch.dict(os.environ, {"PARTITION": "test_partition"}, clear=True)
+ def test_partition_available(self) -> None:
+ partition = slurm.partition()
+
+ self.assertEqual(partition, "test_partition")
+
+ @patch.dict(os.environ, {"VARIABLE": "VALUE"}, clear=True)
+ def test_partition_not_available(self) -> None:
+ partition = slurm.partition()
+
+ self.assertEqual(partition, "Unspecified")
+
+
+class TestIsAvailable(unittest.TestCase):
+ @patch("lava.utils.slurm.try_run_command")
+ def test_is_available_true(self, try_run_command) -> None:
+ try_run_command.return_value = sinfo()
+
+ self.assertTrue(slurm.is_available())
+
+ @patch("lava.utils.slurm.try_run_command")
+ def test_is_available_false(self, try_run_command) -> None:
+ try_run_command.return_value = []
+
+ self.assertFalse(slurm.is_available())
+
+
+class TestGetPartitions(unittest.TestCase):
+ @patch("lava.utils.slurm.try_run_command")
+ @patch("lava.utils.slurm.is_available")
+ def test_get_partitions_when_slurm_is_available(
+ self, is_available, try_run_command) -> None:
+ is_available.return_value = True
+ try_run_command.return_value = sinfo()
+
+ partitions = slurm.get_partitions()
+
+ self.assertEqual(len(partitions), 2)
+
+ self.assertEqual(partitions[0].name, "partition1")
+ self.assertEqual(partitions[0].available, "up")
+ self.assertEqual(partitions[0].timelimit, "30:00")
+ self.assertEqual(partitions[0].nodes, "1")
+ self.assertEqual(partitions[0].state, "idle")
+ self.assertEqual(partitions[0].nodelist, "node1")
+
+ self.assertEqual(partitions[1].name, "partition2")
+ self.assertEqual(partitions[1].available, "up")
+ self.assertEqual(partitions[1].timelimit, "30:00")
+ self.assertEqual(partitions[1].nodes, "1")
+ self.assertEqual(partitions[1].state, "down")
+ self.assertEqual(partitions[1].nodelist, "node2")
+
+ @patch("lava.utils.slurm.try_run_command")
+ @patch("lava.utils.slurm.is_available")
+ def test_get_partitions_when_no_boards_are_available(
+ self, is_available, try_run_command) -> None:
+ is_available.return_value = False
+ try_run_command.return_value = sinfo()
+
+ partitions = slurm.get_partitions()
+
+ self.assertEqual(partitions, [])
+
+
+class TestGetPartitionInfo(unittest.TestCase):
+ @patch("lava.utils.slurm.try_run_command")
+ @patch("lava.utils.slurm.is_available")
+ def test_get_partition_info_for_existing_partition(
+ self, is_available, try_run_command) -> None:
+ is_available.return_value = True
+ try_run_command.return_value = sinfo()
+
+ partition_info = slurm.get_partition_info("partition1")
+
+ self.assertEqual(partition_info.name, "partition1")
+ self.assertEqual(partition_info.available, "up")
+ self.assertEqual(partition_info.timelimit, "30:00")
+ self.assertEqual(partition_info.nodes, "1")
+ self.assertEqual(partition_info.state, "idle")
+ self.assertEqual(partition_info.nodelist, "node1")
+
+ @patch("lava.utils.slurm.try_run_command")
+ @patch("lava.utils.slurm.is_available")
+ def test_get_partition_info_for_non_existing_partition(
+ self, is_available, try_run_command) -> None:
+ is_available.return_value = True
+ try_run_command.return_value = sinfo()
+
+ board_info = slurm.get_partition_info("non_existing_partition")
+
+ self.assertEqual(board_info, None)
+
+
+class TestGetBoards(unittest.TestCase):
+ @patch("lava.utils.slurm.try_run_command")
+ @patch("lava.utils.slurm.is_available")
+ def test_get_boards_when_slurm_is_available(
+ self, is_available, try_run_command) -> None:
+ is_available.return_value = True
+ try_run_command.return_value = sinfo_n()
+
+ boards = slurm.get_boards()
+
+ self.assertEqual(len(boards), 2)
+
+ self.assertEqual(boards[0].nodename, "node1")
+ self.assertEqual(boards[0].partition, "partition1")
+ self.assertEqual(boards[0].state, "idle")
+
+ self.assertEqual(boards[1].nodename, "node2")
+ self.assertEqual(boards[1].partition, "partition2")
+ self.assertEqual(boards[1].state, "down")
+
+ @patch("lava.utils.slurm.try_run_command")
+ @patch("lava.utils.slurm.is_available")
+ def test_get_boards_when_slurm_is_not_available(
+ self, is_available, try_run_command) -> None:
+ is_available.return_value = False
+ try_run_command.return_value = sinfo_n()
+
+ boards = slurm.get_boards()
+
+ self.assertEqual(boards, [])
+
+
+class TestGetBoardInfo(unittest.TestCase):
+ @patch("lava.utils.slurm.try_run_command")
+ @patch("lava.utils.slurm.is_available")
+ def test_get_board_info_for_existing_board(
+ self, is_available, try_run_command) -> None:
+ is_available.return_value = True
+ try_run_command.return_value = sinfo_n()
+
+ board_info = slurm.get_board_info("node1")
+
+ self.assertEqual(board_info.nodename, "node1")
+ self.assertEqual(board_info.partition, "partition1")
+ self.assertEqual(board_info.state, "idle")
+
+ @patch("lava.utils.slurm.try_run_command")
+ @patch("lava.utils.slurm.is_available")
+ def test_get_board_info_for_non_existing_board(
+ self, is_available, try_run_command) -> None:
+ is_available.return_value = True
+ try_run_command.return_value = sinfo_n()
+
+ board_info = slurm.get_board_info("non_existing_node")
+
+ self.assertEqual(board_info, None)
+
+
+class TestTryRunCommand(unittest.TestCase):
+ @patch("subprocess.run")
+ def test_output_is_split_into_lines(self, run) -> None:
+ process = MagicMock(spec="subprocess.CompletedProcess")
+ process.stdout = "line1\nline2"
+ run.return_value = process
+
+ output = slurm.try_run_command(["test_command"])
+
+ self.assertEqual(output, ["line1", "line2"])
+
+ @patch("subprocess.run")
+ def test_output_returns_empty_list_on_exception(self, run) -> None:
+ run.side_effect = subprocess.SubprocessError
+
+ output = slurm.try_run_command(["test_command"])
+
+ self.assertEqual(output, [])
diff --git a/tutorials/end_to_end/tutorial00_tour_through_lava.ipynb b/tutorials/end_to_end/tutorial00_tour_through_lava.ipynb
index 9a5919d81..65e9abbf4 100644
--- a/tutorials/end_to_end/tutorial00_tour_through_lava.ipynb
+++ b/tutorials/end_to_end/tutorial00_tour_through_lava.ipynb
@@ -1,22 +1,17 @@
{
"cells": [
{
+ "attachments": {},
"cell_type": "markdown",
- "id": "f1bfa603",
+ "id": "3ebce42a",
"metadata": {},
"source": [
"*Copyright (C) 2022 Intel Corporation* \n",
"*SPDX-License-Identifier: BSD-3-Clause* \n",
"*See: https://spdx.org/licenses/*\n",
"\n",
- "---"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "3ebce42a",
- "metadata": {},
- "source": [
+ "---\n",
+ "\n",
"# Walk through Lava\n",
"\n",
"Lava is an open-source software library dedicated to the development of algorithms for neuromorphic computation. To that end, Lava provides an easy-to-use Python interface for creating the bits and pieces required for such a neuromorphic algorithm. For easy development, Lava allows to run and test all neuromorphic algorithms on standard von-Neumann hardware like CPU, before they can be deployed on neuromorphic processors such as the Intel Loihi 1/2 processor to leverage their speed and power advantages. Furthermore, Lava is designed to be extensible to custom implementations of neuromorphic behavior and to support new hardware backends.\n",
@@ -31,22 +26,10 @@
"In addition to the core Lava library described in the present tutorial, the following tutorials guide you to use high level functionalities:\n",
"- [lava-dl](https://github.com/lava-nc/lava-dl) for deep learning applications\n",
"- [lava-optimization](https://github.com/lava-nc/lava-optimization) for constraint optimization\n",
- "- [lava-dnf](https://github.com/lava-nc/lava-dnf) for Dynamic Neural Fields"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "47e4bb81",
- "metadata": {},
- "source": [
- "## 1. Usage of the Process Library"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "910bc90a",
- "metadata": {},
- "source": [
+ "- [lava-dnf](https://github.com/lava-nc/lava-dnf) for Dynamic Neural Fields\n",
+ "\n",
+ "## 1. Usage of the Process Library\n",
+ "\n",
"In this section, we will use a simple 2-layered feed-forward network of LIF neurons executed on CPU as canonical example. \n",
"\n",
"The fundamental building block in the Lava architecture is the `Process`. A `Process` describes a functional group, such as a population of `LIF` neurons, which runs asynchronously and parallel and communicates via `Channels`. A `Process` can take different forms and does not necessarily be a population of neurons, for example it could be a complete network, program code or the interface to a sensor (see figure below).\n",
@@ -66,55 +49,53 @@
"metadata": {},
"outputs": [
{
- "data": {
- "text/plain": [
- "\u001B[0;31mInit signature:\u001B[0m \u001B[0mLIF\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m*\u001B[0m\u001B[0margs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m**\u001B[0m\u001B[0mkwargs\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
- "\u001B[0;31mDocstring:\u001B[0m \n",
- "Leaky-Integrate-and-Fire (LIF) neural Process.\n",
- "\n",
- "LIF dynamics abstracts to:\n",
- "u[t] = u[t-1] * (1-du) + a_in # neuron current\n",
- "v[t] = v[t-1] * (1-dv) + u[t] + bias # neuron voltage\n",
- "s_out = v[t] > vth # spike if threshold is exceeded\n",
- "v[t] = 0 # reset at spike\n",
- "\n",
- "Parameters\n",
- "----------\n",
- "shape : tuple(int)\n",
- " Number and topology of LIF neurons.\n",
- "u : float, list, numpy.ndarray, optional\n",
- " Initial value of the neurons' current.\n",
- "v : float, list, numpy.ndarray, optional\n",
- " Initial value of the neurons' voltage (membrane potential).\n",
- "du : float, optional\n",
- " Inverse of decay time-constant for current decay. Currently, only a\n",
- " single decay can be set for the entire population of neurons.\n",
- "dv : float, optional\n",
- " Inverse of decay time-constant for voltage decay. Currently, only a\n",
- " single decay can be set for the entire population of neurons.\n",
- "bias_mant : float, list, numpy.ndarray, optional\n",
- " Mantissa part of neuron bias.\n",
- "bias_exp : float, list, numpy.ndarray, optional\n",
- " Exponent part of neuron bias, if needed. Mostly for fixed point\n",
- " implementations. Ignored for floating point implementations.\n",
- "vth : float, optional\n",
- " Neuron threshold voltage, exceeding which, the neuron will spike.\n",
- " Currently, only a single threshold can be set for the entire\n",
- " population of neurons.\n",
- "\n",
- "Example\n",
- "-------\n",
- ">>> lif = LIF(shape=(200, 15), du=10, dv=5)\n",
- "This will create 200x15 LIF neurons that all have the same current decay\n",
- "of 10 and voltage decay of 5.\n",
- "\u001B[0;31mInit docstring:\u001B[0m Initializes a new Process.\n",
- "\u001B[0;31mFile:\u001B[0m ~/lava-nc/lava/src/lava/proc/lif/process.py\n",
- "\u001B[0;31mType:\u001B[0m ProcessPostInitCaller\n",
- "\u001B[0;31mSubclasses:\u001B[0m LIFReset\n"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\u001b[0;31mInit signature:\u001b[0m \u001b[0mLIF\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;31mDocstring:\u001b[0m \n",
+ "Leaky-Integrate-and-Fire (LIF) neural Process.\n",
+ "\n",
+ "LIF dynamics abstracts to:\n",
+ "u[t] = u[t-1] * (1-du) + a_in # neuron current\n",
+ "v[t] = v[t-1] * (1-dv) + u[t] + bias # neuron voltage\n",
+ "s_out = v[t] > vth # spike if threshold is exceeded\n",
+ "v[t] = 0 # reset at spike\n",
+ "\n",
+ "Parameters\n",
+ "----------\n",
+ "shape : tuple(int)\n",
+ " Number and topology of LIF neurons.\n",
+ "u : float, list, numpy.ndarray, optional\n",
+ " Initial value of the neurons' current.\n",
+ "v : float, list, numpy.ndarray, optional\n",
+ " Initial value of the neurons' voltage (membrane potential).\n",
+ "du : float, optional\n",
+ " Inverse of decay time-constant for current decay. Currently, only a\n",
+ " single decay can be set for the entire population of neurons.\n",
+ "dv : float, optional\n",
+ " Inverse of decay time-constant for voltage decay. Currently, only a\n",
+ " single decay can be set for the entire population of neurons.\n",
+ "bias_mant : float, list, numpy.ndarray, optional\n",
+ " Mantissa part of neuron bias.\n",
+ "bias_exp : float, list, numpy.ndarray, optional\n",
+ " Exponent part of neuron bias, if needed. Mostly for fixed point\n",
+ " implementations. Ignored for floating point implementations.\n",
+ "vth : float, optional\n",
+ " Neuron threshold voltage, exceeding which, the neuron will spike.\n",
+ " Currently, only a single threshold can be set for the entire\n",
+ " population of neurons.\n",
+ "\n",
+ "Example\n",
+ "-------\n",
+ ">>> lif = LIF(shape=(200, 15), du=10, dv=5)\n",
+ "This will create 200x15 LIF neurons that all have the same current decay\n",
+ "of 10 and voltage decay of 5.\n",
+ "\u001b[0;31mInit docstring:\u001b[0m Initializes a new Process.\n",
+ "\u001b[0;31mFile:\u001b[0m ~/Documents/lava/src/lava/proc/lif/process.py\n",
+ "\u001b[0;31mType:\u001b[0m ProcessPostInitCaller\n",
+ "\u001b[0;31mSubclasses:\u001b[0m LIFReset"
+ ]
}
],
"source": [
@@ -163,6 +144,7 @@
]
},
{
+ "attachments": {},
"cell_type": "markdown",
"id": "1fbfed43",
"metadata": {},
@@ -186,7 +168,9 @@
"\n",
"### Ports and connections\n",
"\n",
- "Let's take a look at the `Ports` of the `LIF` and `Dense` processes we just created. The output `Port` of the `LIF` neuron is called `s_out`, which stands for 'spiking' output. The input `Port` is called `a_in` which stands for 'activation' input."
+ "Let's take a look at the `Ports` of the `LIF` and `Dense` processes we just created. The output `Port` of the `LIF` neuron is called `s_out`, which stands for 'spiking' output. The input `Port` is called `a_in` which stands for 'activation' input.\n",
+ "\n",
+ "For example, we can see the size of the `Port` which is in particular important because `Ports` can only connect if their shape matches."
]
},
{
@@ -196,75 +180,24 @@
"metadata": {},
"outputs": [
{
- "data": {
- "text/plain": [
- "['s_out']"
- ]
- },
- "execution_count": 3,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "lif1.out_ports.member_names"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "f8ed37d8",
- "metadata": {},
- "source": [
- "For example, we can see the size of the `Port` which is in particular important because `Ports` can only connect if their shape matches."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "id": "f77b750d",
- "metadata": {},
- "outputs": [],
- "source": [
- "assert(lif1.s_out.size == dense.s_in.size)"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "7378d13d",
- "metadata": {},
- "source": [
- "Similarly we can investigate the input port of the second `LIF` population."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "id": "706dc863",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "['a_in']"
- ]
- },
- "execution_count": 5,
- "metadata": {},
- "output_type": "execute_result"
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Proc: lif1 Name: a_in Size: 3\n",
+ "Proc: lif1 Name: s_out Size: 3\n",
+ "Proc: lif2 Name: a_in Size: 2\n",
+ "Proc: lif2 Name: s_out Size: 2\n",
+ "Proc: dense Name: s_in Size: 3\n",
+ "Proc: dense Name: a_out Size: 2\n"
+ ]
}
],
"source": [
- "lif2.in_ports.member_names"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "id": "521bf370",
- "metadata": {},
- "outputs": [],
- "source": [
- "assert(dense.a_out.size == lif2.a_in.size)"
+ "for proc in [lif1, lif2, dense]:\n",
+ " for port in proc.in_ports:\n",
+ " print(f'Proc: {proc.name:<5} Name: {port.name:<5} Size: {port.size}')\n",
+ " for port in proc.out_ports:\n",
+ " print(f'Proc: {proc.name:<5} Name: {port.name:<5} Size: {port.size}')"
]
},
{
@@ -281,104 +214,87 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 4,
"id": "657063e9",
"metadata": {},
"outputs": [],
"source": [
- "# Connect the OutPort of lif1 to the InPort of dense\n",
"lif1.s_out.connect(dense.s_in)\n",
- "\n",
- "# Connect the OutPort of dense to the InPort of lif2\n",
"dense.a_out.connect(lif2.a_in)"
]
},
{
+ "attachments": {},
"cell_type": "markdown",
"id": "7f0add01",
"metadata": {},
"source": [
"### Variables\n",
"\n",
- "Similar to the `Ports`, we can investigate the `Vars` of a `Process`."
+ "Similar to the `Ports`, we can investigate the `Vars` of a `Process`.\n",
+ "\n",
+ "`Vars` are also accessible as member variables. We can print details of a specific `Var` to see the shape, initial value and current value. The `shareable` attribute controls whether a `Var` can be manipulated via remote memory access. Learn more about about this topic in the [remote memory access tutorial](https://github.com/lava-nc/lava/blob/main/tutorials/in_depth/tutorial07_remote_memory_access.ipynb)."
]
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 5,
"id": "d6be4fa0",
"metadata": {},
"outputs": [
{
- "data": {
- "text/plain": [
- "['bias_exp', 'bias_mant', 'du', 'dv', 'u', 'v', 'vth']"
- ]
- },
- "execution_count": 8,
- "metadata": {},
- "output_type": "execute_result"
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Var: bias_exp Shape: (3,) Init: 0\n",
+ "Var: bias_mant Shape: (3,) Init: (1.1, 1.2, 1.3)\n",
+ "Var: du Shape: (1,) Init: 0.1\n",
+ "Var: dv Shape: (1,) Init: 0.1\n",
+ "Var: u Shape: (3,) Init: 0\n",
+ "Var: v Shape: (3,) Init: 0\n",
+ "Var: vth Shape: (1,) Init: 10.0\n"
+ ]
}
],
"source": [
- "lif1.vars.member_names"
+ "for var in lif1.vars:\n",
+ " print(f'Var: {var.name:<9} Shape: {var.shape} Init: {var.init}')"
]
},
{
+ "attachments": {},
"cell_type": "markdown",
"id": "971d5ed7",
"metadata": {},
- "source": [
- "`Vars` are also accessible as member variables. We can print details of a specific `Var` to see the shape, initial value and current value. The `shareable` attribute controls whether a `Var` can be manipulated via remote memory access. Learn more about about this topic in the [remote memory access tutorial](https://github.com/lava-nc/lava/blob/main/tutorials/in_depth/tutorial07_remote_memory_access.ipynb)."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "id": "46c18b1f",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Variable: v\n",
- " shape: (3,)\n",
- " init: 0\n",
- " shareable: True\n",
- " value: 0"
- ]
- },
- "execution_count": 9,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "lif1.v"
- ]
+ "source": []
},
{
+ "attachments": {},
"cell_type": "markdown",
"id": "7574279a",
"metadata": {},
"source": [
- "We can take a look at the random weights of `Dense` by calling the `get` function."
+ "We can take a look at the random weights of `Dense` by calling the `get` function.\n",
+ "\n",
+ "
\n",
+ "Note: There is also a `set` function available to change the value of a `Var` after the network was executed.\n",
+ "
"
]
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 6,
"id": "e60c16db",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "array([[0.48667088, 0.24619592, 0.89903799],\n",
- " [0.96371252, 0.58821522, 0.37490556]])"
+ "array([[0.39348157, 0.11634913, 0.17421253],\n",
+ " [0.51148951, 0.9046173 , 0.04863679]])"
]
},
- "execution_count": 10,
+ "execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
@@ -388,16 +304,7 @@
]
},
{
- "cell_type": "markdown",
- "id": "6afa9b38",
- "metadata": {},
- "source": [
- "\n",
- "Note: There is also a `set` function available to change the value of a `Var` after the network was executed.\n",
- "
"
- ]
- },
- {
+ "attachments": {},
"cell_type": "markdown",
"id": "49a7f22e",
"metadata": {},
@@ -405,12 +312,14 @@
"### Record internal Vars over time\n",
"\n",
"In order to record the evolution of the internal `Vars` over time, we need a `Monitor`.\n",
- "For this example, we want to record the membrane potential of both `LIF` Processes, hence we need two `Monitors`."
+ "For this example, we want to record the membrane potential of both `LIF` Processes, hence we need two `Monitors`.\n",
+ "\n",
+ "We can define the `Var` that a `Monitor` should record, as well as the recording duration, using the `probe` function."
]
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 7,
"id": "635bf66b",
"metadata": {},
"outputs": [],
@@ -418,40 +327,14 @@
"from lava.proc.monitor.process import Monitor\n",
"\n",
"monitor_lif1 = Monitor()\n",
- "monitor_lif2 = Monitor()"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "05dc0a83",
- "metadata": {},
- "source": [
- "We can define the `Var` that a `Monitor` should record, as well as the recording duration, using the `probe` function."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "id": "ef93825c",
- "metadata": {},
- "outputs": [],
- "source": [
+ "monitor_lif2 = Monitor()\n",
+ "\n",
"num_steps = 100\n",
"\n",
"monitor_lif1.probe(lif1.v, num_steps)\n",
"monitor_lif2.probe(lif2.v, num_steps)"
]
},
- {
- "cell_type": "markdown",
- "id": "84a02b97",
- "metadata": {},
- "source": [
- "\n",
- "Note: Currently, the `Monitor` can only record a single `Var` per `Process` and supports only CPU. This functionality will be extended in future releases.\n",
- "
"
- ]
- },
{
"cell_type": "markdown",
"id": "ce0c6495",
@@ -476,12 +359,13 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 8,
"id": "0cf86c34",
"metadata": {},
"outputs": [],
"source": [
"from lava.magma.core.run_conditions import RunContinuous\n",
+ "\n",
"run_condition = RunContinuous()"
]
},
@@ -495,12 +379,12 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 9,
"id": "91fbce5e",
"metadata": {},
"outputs": [],
"source": [
- "from lava.magma.core.run_conditions import RunSteps, RunContinuous\n",
+ "from lava.magma.core.run_conditions import RunSteps\n",
"\n",
"run_condition = RunSteps(num_steps=num_steps)"
]
@@ -523,7 +407,7 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 10,
"id": "14c301f7",
"metadata": {},
"outputs": [],
@@ -545,7 +429,7 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 11,
"id": "331f71b7",
"metadata": {},
"outputs": [],
@@ -565,7 +449,7 @@
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 12,
"id": "582215cd",
"metadata": {},
"outputs": [],
@@ -584,7 +468,7 @@
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": 13,
"id": "32f48b10",
"metadata": {
"scrolled": true
@@ -592,7 +476,7 @@
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
""
]
@@ -617,16 +501,17 @@
]
},
{
+ "attachments": {},
"cell_type": "markdown",
"id": "cf5fcea8",
"metadata": {},
"source": [
- "As a last step we can stop the runtime by calling the `stop` function. `Stop` will terminate the `Runtime` and all states will be lost."
+ "As a last step we must stop the runtime by calling the `stop` function. `Stop` will terminate the `Runtime` and all states will be lost."
]
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 14,
"id": "0ddcd735",
"metadata": {},
"outputs": [],
@@ -678,7 +563,7 @@
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": 15,
"id": "656ac8dc",
"metadata": {},
"outputs": [],
@@ -698,7 +583,7 @@
},
{
"cell_type": "code",
- "execution_count": 21,
+ "execution_count": 16,
"id": "00bde8ce",
"metadata": {},
"outputs": [],
@@ -744,7 +629,7 @@
},
{
"cell_type": "code",
- "execution_count": 22,
+ "execution_count": 17,
"id": "c68411dc",
"metadata": {},
"outputs": [],
@@ -758,29 +643,17 @@
]
},
{
+ "attachments": {},
"cell_type": "markdown",
"id": "524df362",
"metadata": {},
"source": [
"All `ProcessModels` defined to run on CPU are written in Python and inherit from the common class called `PyLoihiProcessModel`. Further, we use the decorators `requires` and `implements` to define which computational resources (i.e. CPU, GPU, Loihi1NeuroCore, Loihi2NeuroCore) are required to execute this `ProcessModel` and which `Process` it implements. Finally, we need to specify the types of `Vars` and `Ports` in our `SpikeGenerator` using `LavaPyType` and `PyOutPort`.\n",
- "\n"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "6cad5b03",
- "metadata": {},
- "source": [
+ "\n",
"\n",
"Note: It is important to mention that the `ProcessModel` needs to implement the exact same Vars and Ports of the parent process using the same class attribute names.\n",
- "
"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "8d45cc48",
- "metadata": {},
- "source": [
+ "\n",
+ "\n",
"Additionally, we define that our `PySpikeGeneratorModel` follows the `LoihiProtocol`. The `LoihiProtocol` defines that the execution of a model follows a specific sequence of phases. For example, there is the *spiking phase* (`run_spk`) in which input spikes are received, internal `Vars` are updated and output spikes are sent. There are other phases such as the *learning phase* (`run_lrn`) in which online learning takes place, or the *post management phase* (`run_post_mgmt`) in which memory content is updated. As the `SpikeGenerator` basically just sends out spikes, the correct place to implement its behavior is the `run_spk` phase. \n",
"\n",
"To implement the behavior, we need to have access to the global simulation time. We can easily access the simulation time with `self.time_step` and use that to index the `spike_data` and send out the corresponding spikes through the `OutPort`."
@@ -788,7 +661,7 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 18,
"id": "068cb965",
"metadata": {},
"outputs": [],
@@ -809,26 +682,21 @@
]
},
{
+ "attachments": {},
"cell_type": "markdown",
"id": "642ad797",
"metadata": {},
"source": [
"\n",
"Note: For the `SpikeGenerator` we only needed an `OutPort` which provides the `send` function to send data. For the `InPort` the corresponding function to receive data is called `recv`.\n",
- "
"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "5b61fee8",
- "metadata": {},
- "source": [
+ "\n",
+ "\n",
"Next, we want to redefine our network as in the example before with the exception that we turn off all biases."
]
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 19,
"id": "069e687d",
"metadata": {},
"outputs": [],
@@ -881,7 +749,7 @@
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 20,
"id": "4e1a6b58",
"metadata": {},
"outputs": [],
@@ -911,7 +779,7 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": 21,
"id": "af9da307",
"metadata": {},
"outputs": [],
@@ -929,13 +797,13 @@
},
{
"cell_type": "code",
- "execution_count": 27,
+ "execution_count": 22,
"id": "7cbc2b21",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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",
"text/plain": [
""
]
@@ -965,7 +833,7 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 23,
"id": "a922b4aa",
"metadata": {},
"outputs": [],
@@ -974,6 +842,7 @@
]
},
{
+ "attachments": {},
"cell_type": "markdown",
"id": "a9fadbe3",
"metadata": {},
@@ -986,23 +855,11 @@
"- The behavior of a `Process` is defined in a `ProcessModel`\n",
"- `ProcessModels` are aware of their hardware backend, they get selected automatically by the compiler/runtime\n",
"- `PyProcessModels` run on CPU\n",
- "- Number and names of `Vars` and `Ports` of a `ProcessModel` must match those of the `Process` it implements"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "f90d252c",
- "metadata": {},
- "source": [
+ "- Number and names of `Vars` and `Ports` of a `ProcessModel` must match those of the `Process` it implements\n",
+ "\n",
"### Learn more about\n",
- "- [ProcessModels](https://github.com/lava-nc/lava/blob/main/tutorials/in_depth/tutorial03_process_models.ipynb)\n"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "2e335eee",
- "metadata": {},
- "source": [
+ "- [ProcessModels](https://github.com/lava-nc/lava/blob/main/tutorials/in_depth/tutorial03_process_models.ipynb)\n",
+ "\n",
"### How to learn more?\n",
"\n",
"If you want to find out more about Lava, have a look at the [Lava documentation](https://lava-nc.org/) or dive deeper with the [in-depth tutorials](https://github.com/lava-nc/lava/tree/main/tutorials/in_depth).\n",
@@ -1027,9 +884,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.10.4"
+ "version": "3.10.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
-}
\ No newline at end of file
+}
diff --git a/tutorials/end_to_end/tutorial01_mnist_digit_classification.ipynb b/tutorials/end_to_end/tutorial01_mnist_digit_classification.ipynb
index 835d38dc5..51ee4b7e8 100644
--- a/tutorials/end_to_end/tutorial01_mnist_digit_classification.ipynb
+++ b/tutorials/end_to_end/tutorial01_mnist_digit_classification.ipynb
@@ -1,6 +1,7 @@
{
"cells": [
{
+ "attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
@@ -10,22 +11,12 @@
"\n",
"---\n",
"\n",
- "# MNIST Digit Classification with Lava"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
+ "# MNIST Digit Classification with Lava\n",
+ "\n",
"_**Motivation**: In this tutorial, we will build a Lava Process for an MNIST\n",
"classifier, using the Lava Processes for LIF neurons and Dense connectivity.\n",
- "The tutorial is useful to get started with Lava in a few minutes._"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
+ "The tutorial is useful to get started with Lava in a few minutes._\n",
+ "\n",
"#### This tutorial assumes that you:\n",
"- have the [Lava framework installed](../in_depth/tutorial01_installing_lava.ipynb \"Tutorial on Installing Lava\")\n",
"- are familiar with the [Process concept in Lava](../in_depth/tutorial02_processes.ipynb \"Tutorial on Processes\")\n",
@@ -37,13 +28,8 @@
"- how to create a Process \n",
"- how to create Python ProcessModels \n",
"- how to connect Processes\n",
- "- how to execute them"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
+ "- how to execute them\n",
+ "\n",
"#### Our MNIST Classifier\n",
"In this tutorial, we will build a multi-layer feed-forward classifier without\n",
" any convolutional layers. The architecture is shown below.\n",
@@ -54,34 +40,19 @@
"> parameters (weights and biases). It illustrates how to build, compile and \n",
"> run a functional model in Lava. Please refer to \n",
"> [Lava-DL](https://github.com/lava-nc/lava-dl) to understand how to train \n",
- "> deep networks with Lava."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
+ "> deep networks with Lava.\n",
+ "\n",
" "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
+ "style=\"width: 800px;\"/>\n",
+ "\n",
"The 3 Processes shown above are:\n",
" - *SpikeInput* Process - generates spikes via integrate and fire dynamics,\n",
" using the image input\n",
" - *ImageClassifier* Process - encapsulates feed-forward architecture of\n",
" Dense connectivity and LIF neurons\n",
" - *Output* Process - accumulates output spikes from the feed-forward process\n",
- "and infers the class label"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
+ "and infers the class label\n",
+ "\n",
"#### General Imports"
]
},
@@ -238,6 +209,7 @@
]
},
{
+ "attachments": {},
"cell_type": "markdown",
"metadata": {
"pycharm": {
@@ -257,13 +229,8 @@
"function. Other phases are optional.\n",
"- `@requires`: specifies the hardware resource on which a ProcessModel \n",
"will be executed. In this tutorial, we will execute all ProcessModels \n",
- "on a CPU."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
+ "on a CPU.\n",
+ "\n",
"**SpikingInput ProcessModel**"
]
},
@@ -490,6 +457,7 @@
]
},
{
+ "attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
@@ -497,13 +465,8 @@
"```bash\n",
" git lfs fetch\n",
" git lfs pull\n",
- "```"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
+ "```\n",
+ "\n",
"#### Execution and results\n",
"Below, we will run the classifier process in a loop of `num_images`\n",
"number of iterations. Each iteration will run the Process for \n",
@@ -576,6 +539,7 @@
]
},
{
+ "attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
@@ -585,13 +549,8 @@
"> parameters (weights and biases). It illustrates how to build, compile and \n",
"> run a functional model in Lava. Please refer to \n",
"> [Lava-DL](https://github.com/lava-nc/lava-dl) to understand how to train \n",
- "> deep networks with Lava."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
+ "> deep networks with Lava.\n",
+ "\n",
"## How to learn more?\n",
"\n",
"#### Follow the links below for deep-dive tutorials on the concepts in this tutorial:\n",
@@ -623,7 +582,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.10"
+ "version": "3.10.6"
},
"vscode": {
"interpreter": {