def __init__(self, spinnaker_link_id):
AbstractVirtualVertex.__init__(self,
6,
spinnaker_link_id,
"External Munich Motor",
max_atoms_per_core=6)
def __init__(self, machine_time_step, timescale_factor, spikes_per_second,
ring_buffer_sigma, n_neurons, label, spinnaker_link_id):
if n_neurons != 20:
print "Warning, this device has 20 neurons"
AbstractVirtualVertex.__init__(self, n_neurons, spinnaker_link_id,
label, n_neurons)
AbstractOutgoingEdgeSameContiguousKeysRestrictor.__init__(self)
def __init__(self, machine_time_step, timescale_factor, spikes_per_second,
ring_buffer_sigma, n_neurons, label,
spinnaker_link_id):
if n_neurons != 20:
print "Warning, this device has 20 neurons"
AbstractVirtualVertex.__init__(self, n_neurons, spinnaker_link_id,
label, n_neurons)
AbstractOutgoingEdgeSameContiguousKeysRestrictor.__init__(self)
def __init__(self, spinnaker_link_id, msg_key, msg_mask=0xFFFFFFFF):
self.key = msg_key
self.mask = msg_mask
AbstractVirtualVertex.__init__(
self, 1, spinnaker_link_id, "External IO Device",
max_atoms_per_core=1)
AbstractProvidesOutgoingEdgeConstraints.__init__(self)
def __init__(self, fixed_key, spinnaker_link_id, machine_time_step,
timescale_factor, label=None, n_neurons=None,
polarity=PushBotRetinaPolarity.Merged,
resolution=PushBotRetinaResolution.Downsample64):
# Validate number of timestamp bytes
if not isinstance(polarity, PushBotRetinaPolarity):
raise exceptions.SpynnakerException(
"Pushbot retina polarity should be one of those defined in"
" Polarity enumeration")
if not isinstance(resolution, PushBotRetinaResolution):
raise exceptions.SpynnakerException(
"Pushbot retina resolution should be one of those defined in"
" Resolution enumeration")
# Cache resolution
self._resolution = resolution
# Build standard routing key from virtual chip coordinates
self._routing_key = fixed_key
self._retina_source_key = self._routing_key
# Calculate number of neurons
fixed_n_neurons = resolution.value.pixels ** 2
# If polarity is merged
if polarity == PushBotRetinaPolarity.Merged:
# Double number of neurons
fixed_n_neurons *= 2
# We need to mask out two coordinates and a polarity bit
mask_bits = (2 * resolution.value.coordinate_bits) + 1
# Otherwise
else:
# We need to mask out two coordinates
mask_bits = 2 * resolution.value.coordinate_bits
# If polarity is up, set polarity bit in routing key
if polarity == PushBotRetinaPolarity.Up:
polarity_bit = 1 << (2 * resolution.value.coordinate_bits)
self._routing_key |= polarity_bit
# Build routing mask
self._routing_mask = ~((1 << mask_bits) - 1) & 0xFFFFFFFF
AbstractVirtualVertex.__init__(
self, fixed_n_neurons, spinnaker_link_id,
max_atoms_per_core=fixed_n_neurons, label=label)
AbstractSendMeMulticastCommandsVertex.__init__(
self, self._get_commands())
if n_neurons != fixed_n_neurons and n_neurons is not None:
print "Warning, the retina will have {} neurons".format(
fixed_n_neurons)
def __init__(self,
retina_key,
spinnaker_link_id,
position,
machine_time_step,
timescale_factor,
label=None,
n_neurons=None,
polarity=None):
if polarity is None:
polarity = MunichRetinaDevice.MERGED_POLARITY
self._fixed_key = (retina_key & 0xFFFF) << 16
self._fixed_mask = 0xFFFF8000
if polarity == MunichRetinaDevice.UP_POLARITY:
self._fixed_key |= 0x4000
if polarity == MunichRetinaDevice.MERGED_POLARITY:
# There are 128 x 128 retina "pixels" x 2 polarities
fixed_n_neurons = 128 * 128 * 2
else:
# There are 128 x 128 retina "pixels"
fixed_n_neurons = 128 * 128
self._fixed_mask = 0xFFFFC000
AbstractVirtualVertex.__init__(self,
fixed_n_neurons,
spinnaker_link_id,
max_atoms_per_core=fixed_n_neurons,
label=label)
AbstractSendMeMulticastCommandsVertex.__init__(
self, self._get_commands(position))
AbstractProvidesOutgoingPartitionConstraints.__init__(self)
self._polarity = polarity
self._position = position
if (self._position != self.RIGHT_RETINA
and self._position != self.LEFT_RETINA):
raise exceptions.SpynnakerException(
"The external Retina does not recognise this _position")
if n_neurons != fixed_n_neurons and n_neurons is not None:
print "Warning, the retina will have {} neurons".format(
fixed_n_neurons)
def __init__(
self, retina_key, spinnaker_link_id, position, machine_time_step,
timescale_factor, label=None, n_neurons=None, polarity=None):
if polarity is None:
polarity = MunichRetinaDevice.MERGED_POLARITY
self._fixed_key = (retina_key & 0xFFFF) << 16
self._fixed_mask = 0xFFFF8000
if polarity == MunichRetinaDevice.UP_POLARITY:
self._fixed_key |= 0x4000
if polarity == MunichRetinaDevice.MERGED_POLARITY:
# There are 128 x 128 retina "pixels" x 2 polarities
fixed_n_neurons = 128 * 128 * 2
else:
# There are 128 x 128 retina "pixels"
fixed_n_neurons = 128 * 128
self._fixed_mask = 0xFFFFC000
AbstractVirtualVertex.__init__(
self, fixed_n_neurons, spinnaker_link_id,
max_atoms_per_core=fixed_n_neurons, label=label)
AbstractSendMeMulticastCommandsVertex.__init__(
self, self._get_commands(position))
self._polarity = polarity
self._position = position
if (self._position != self.RIGHT_RETINA and
self._position != self.LEFT_RETINA):
raise exceptions.SpynnakerException(
"The external Retina does not recognise this _position")
if n_neurons != fixed_n_neurons and n_neurons is not None:
print "Warning, the retina will have {} neurons".format(
fixed_n_neurons)
def __init__(self,
mode,
retina_key,
spinnaker_link_id,
polarity,
machine_time_step,
timescale_factor,
label=None,
n_neurons=None):
"""
:param mode: The retina "mode"
:param retina_key: The value of the top 16-bits of the key
:param spinnaker_link_id: The spinnaker link to which the retina is\
connected
:param polarity: The "polarity" of the retina data
:param machine_time_step: The time step of the simulation
:param timescale_factor: The timescale factor of the simulation
:param label: The label for the population
:param n_neurons: The number of neurons in the population
"""
self._polarity = polarity
self._fixed_key = (retina_key & 0xFFFF) << 16
self._fixed_mask = 0xFFFF8000
if polarity == ExternalFPGARetinaDevice.UP_POLARITY:
self._fixed_key |= 0x4000
fixed_n_neurons = n_neurons
if mode == ExternalFPGARetinaDevice.MODE_128:
if (polarity == ExternalFPGARetinaDevice.UP_POLARITY
or polarity == ExternalFPGARetinaDevice.DOWN_POLARITY):
fixed_n_neurons = 128 * 128
self._fixed_mask = 0xFFFFC000
else:
fixed_n_neurons = 128 * 128 * 2
elif mode == ExternalFPGARetinaDevice.MODE_64:
if (polarity == ExternalFPGARetinaDevice.UP_POLARITY
or polarity == ExternalFPGARetinaDevice.DOWN_POLARITY):
fixed_n_neurons = 64 * 64
self._fixed_mask = 0xFFFFF000
else:
fixed_n_neurons = 64 * 64 * 2
elif mode == ExternalFPGARetinaDevice.MODE_32:
if (polarity == ExternalFPGARetinaDevice.UP_POLARITY
or polarity == ExternalFPGARetinaDevice.DOWN_POLARITY):
fixed_n_neurons = 32 * 32
self._fixed_mask = 0xFFFFFC00
else:
fixed_n_neurons = 32 * 32 * 2
elif mode == ExternalFPGARetinaDevice.MODE_16:
if (polarity == ExternalFPGARetinaDevice.UP_POLARITY
or polarity == ExternalFPGARetinaDevice.DOWN_POLARITY):
fixed_n_neurons = 16 * 16
self._fixed_mask = 0xFFFFFF00
else:
fixed_n_neurons = 16 * 16 * 2
else:
raise exceptions.SpynnakerException("the FPGA retina does not "
"recongise this mode")
if fixed_n_neurons != n_neurons and n_neurons is not None:
logger.warn(
"The specified number of neurons for the FPGA retina"
" device has been ignored {} will be used instead".format(
fixed_n_neurons))
AbstractVirtualVertex.__init__(self,
fixed_n_neurons,
spinnaker_link_id,
max_atoms_per_core=fixed_n_neurons,
label=label)
AbstractSendMeMulticastCommandsVertex.__init__(
self,
commands=[
MultiCastCommand(0, 0x0000FFFF, 0xFFFF0000, 1, 5, 100),
MultiCastCommand(-1, 0x0000FFFE, 0xFFFF0000, 0, 5, 100)
])
AbstractProvidesOutgoingPartitionConstraints.__init__(self)
def __init__(
self, mode, retina_key, spinnaker_link_id, polarity,
machine_time_step, timescale_factor, label=None, n_neurons=None):
"""
:param mode: The retina "mode"
:param retina_key: The value of the top 16-bits of the key
:param spinnaker_link_id: The spinnaker link to which the retina is\
connected
:param polarity: The "polarity" of the retina data
:param machine_time_step: The time step of the simulation
:param timescale_factor: The timescale factor of the simulation
:param label: The label for the population
:param n_neurons: The number of neurons in the population
"""
self._polarity = polarity
self._fixed_key = (retina_key & 0xFFFF) << 16
self._fixed_mask = 0xFFFF8000
if polarity == ExternalFPGARetinaDevice.UP_POLARITY:
self._fixed_key |= 0x4000
fixed_n_neurons = n_neurons
if mode == ExternalFPGARetinaDevice.MODE_128:
if (polarity == ExternalFPGARetinaDevice.UP_POLARITY or
polarity == ExternalFPGARetinaDevice.DOWN_POLARITY):
fixed_n_neurons = 128 * 128
self._fixed_mask = 0xFFFFC000
else:
fixed_n_neurons = 128 * 128 * 2
elif mode == ExternalFPGARetinaDevice.MODE_64:
if (polarity == ExternalFPGARetinaDevice.UP_POLARITY or
polarity == ExternalFPGARetinaDevice.DOWN_POLARITY):
fixed_n_neurons = 64 * 64
self._fixed_mask = 0xFFFFF000
else:
fixed_n_neurons = 64 * 64 * 2
elif mode == ExternalFPGARetinaDevice.MODE_32:
if (polarity == ExternalFPGARetinaDevice.UP_POLARITY or
polarity == ExternalFPGARetinaDevice.DOWN_POLARITY):
fixed_n_neurons = 32 * 32
self._fixed_mask = 0xFFFFFC00
else:
fixed_n_neurons = 32 * 32 * 2
elif mode == ExternalFPGARetinaDevice.MODE_16:
if (polarity == ExternalFPGARetinaDevice.UP_POLARITY or
polarity == ExternalFPGARetinaDevice.DOWN_POLARITY):
fixed_n_neurons = 16 * 16
self._fixed_mask = 0xFFFFFF00
else:
fixed_n_neurons = 16 * 16 * 2
else:
raise exceptions.SpynnakerException("the FPGA retina does not "
"recongise this mode")
if fixed_n_neurons != n_neurons and n_neurons is not None:
logger.warn("The specified number of neurons for the FPGA retina"
" device has been ignored {} will be used instead"
.format(fixed_n_neurons))
AbstractVirtualVertex.__init__(
self, fixed_n_neurons, spinnaker_link_id,
max_atoms_per_core=fixed_n_neurons, label=label)
AbstractSendMeMulticastCommandsVertex.__init__(self, commands=[
MultiCastCommand(0, 0x0000FFFF, 0xFFFF0000, 1, 5, 100),
MultiCastCommand(-1, 0x0000FFFE, 0xFFFF0000, 0, 5, 100)])
def __init__(self,
fixed_key,
spinnaker_link_id,
machine_time_step,
timescale_factor,
label=None,
n_neurons=None,
polarity=PushBotRetinaPolarity.Merged,
resolution=PushBotRetinaResolution.Downsample64):
# Validate number of timestamp bytes
if not isinstance(polarity, PushBotRetinaPolarity):
raise exceptions.SpynnakerException(
"Pushbot retina polarity should be one of those defined in"
" Polarity enumeration")
if not isinstance(resolution, PushBotRetinaResolution):
raise exceptions.SpynnakerException(
"Pushbot retina resolution should be one of those defined in"
" Resolution enumeration")
# Cache resolution
self._resolution = resolution
# Build standard routing key from virtual chip coordinates
self._routing_key = fixed_key
self._retina_source_key = self._routing_key
# Calculate number of neurons
fixed_n_neurons = resolution.value.pixels**2
# If polarity is merged
if polarity == PushBotRetinaPolarity.Merged:
# Double number of neurons
fixed_n_neurons *= 2
# We need to mask out two coordinates and a polarity bit
mask_bits = (2 * resolution.value.coordinate_bits) + 1
# Otherwise
else:
# We need to mask out two coordinates
mask_bits = 2 * resolution.value.coordinate_bits
# If polarity is up, set polarity bit in routing key
if polarity == PushBotRetinaPolarity.Up:
polarity_bit = 1 << (2 * resolution.value.coordinate_bits)
self._routing_key |= polarity_bit
# Build routing mask
self._routing_mask = ~((1 << mask_bits) - 1) & 0xFFFFFFFF
AbstractVirtualVertex.__init__(self,
fixed_n_neurons,
spinnaker_link_id,
max_atoms_per_core=fixed_n_neurons,
label=label)
AbstractSendMeMulticastCommandsVertex.__init__(self,
self._get_commands())
AbstractProvidesOutgoingPartitionConstraints.__init__(self)
if n_neurons != fixed_n_neurons and n_neurons is not None:
print "Warning, the retina will have {} neurons".format(
fixed_n_neurons)
def __init__(
self, n_neurons, spinnaker_link, machine_time_step,
timescale_factor, label=None):
AbstractVirtualVertex.__init__(
self, n_neurons, spinnaker_link, label=label,
max_atoms_per_core=n_neurons)
def __init__(self, spinnaker_link_id):
AbstractVirtualVertex.__init__(
self, 6, spinnaker_link_id,
"External Munich Motor", max_atoms_per_core=6)