def basicComputeLoop(self, imp, params, inputSize, columnDimensions,
seed = None):
"""
Feed in some vectors and retrieve outputs. Ensure the right number of
columns win, that we always get binary outputs, and that nothing crashes.
"""
sp = CreateSP(imp,params)
# Create a set of input vectors as well as various numpy vectors we will
# need to retrieve data from the SP
numRecords = 100
randomState = getNumpyRandomGenerator(seed)
inputMatrix = (
randomState.rand(numRecords,inputSize) > 0.8).astype(uintType)
y = cupy.zeros(columnDimensions, dtype = uintType)
dutyCycles = cupy.zeros(columnDimensions, dtype = uintType)
# With learning on we should get the requested number of winners
for v in inputMatrix:
y.fill(0)
sp.compute(v, True, y)
self.assertEqual(sp.getNumActiveColumnsPerInhArea(),y.sum())
self.assertEqual(0,y.min())
self.assertEqual(1,y.max())
# With learning off and some prior training we should get the requested
# number of winners
for v in inputMatrix:
y.fill(0)
sp.compute(v, False, y)
self.assertEqual(sp.getNumActiveColumnsPerInhArea(),y.sum())
self.assertEqual(0,y.min())
self.assertEqual(1,y.max())
def basicComputeLoop(self, imp, params, inputSize, columnDimensions,
seed = None):
"""
Feed in some vectors and retrieve outputs. Ensure the right number of
columns win, that we always get binary outputs, and that nothing crashes.
"""
sp = CreateSP(imp,params)
# Create a set of input vectors as well as various numpy vectors we will
# need to retrieve data from the SP
numRecords = 100
randomState = getNumpyRandomGenerator(seed)
inputMatrix = (
randomState.rand(numRecords,inputSize) > 0.8).astype(uintType)
y = numpy.zeros(columnDimensions, dtype = uintType)
dutyCycles = numpy.zeros(columnDimensions, dtype = uintType)
# With learning on we should get the requested number of winners
for v in inputMatrix:
y.fill(0)
sp.compute(v, True, y)
self.assertEqual(sp.getNumActiveColumnsPerInhArea(),y.sum())
self.assertEqual(0,y.min())
self.assertEqual(1,y.max())
# With learning off and some prior training we should get the requested
# number of winners
for v in inputMatrix:
y.fill(0)
sp.compute(v, False, y)
self.assertEqual(sp.getNumActiveColumnsPerInhArea(),y.sum())
self.assertEqual(0,y.min())
self.assertEqual(1,y.max())
