dim2 = (k, n)
elif op == "tn":
dim1 = (m, k)
dim2 = (n, k)
A1 = np.random.randint(0x0, 0x7fff, size=dim1).astype(np.int64)
B1 = np.random.randint(0x0, 0x7fff, size=dim2).astype(np.int64)
A2 = fp.array(A1.astype(np.int16), iwlA)
B2 = fp.array(B1.astype(np.int16), iwlB)
# pick a reasonable output integer word length
iwlC = ((struct.unpack('I', struct.pack('f', float(
0x7fff * 0x7fff * k / 2)))[0] & 0x7f800000) >> 23) - 126
C2 = fp.empty((m, n), iwlC)
start = drv.Event()
end = drv.Event()
start.record()
for r in range(repeat):
if op == 'nt':
fp.dot(A2.T, B2, C2)
elif op == 'nn':
fp.dot(A2, B2, C2)
elif op == 'tn':
fp.dot(A2, B2.T, C2)
end.record()
# copy to device
devI = fp.array(I, iwl)
devF = fp.array(F, iwl)
devE = fp.array(E, iwl)
# set output bit widths at approximately mean scaling
def scale(n,q):
return ((struct.unpack('I',struct.pack('f',float(0x7fff**2 * n) / q )))[0] >> 23)-126
iwlO = scale(C*T*R*S, 2)
iwlB = scale(K*T*R*S, 4)
iwlU = scale(N*M*P*Q, 4)
# allocate output
devO = fp.empty(dimO, iwlO)
devB = fp.zeros(dimI, iwlB)
devU = fp.zeros(dimF, iwlU)
args = dict(padding=padding, strides=strides, upscale=upscale, repeat=100)
# perform convolutions
print 'Warming up'
fp.fprop_conv(devI, devF, devO, strides=strides, upscale=upscale, repeat=10) # spin up clock
print 'Starting'
fp.fprop_conv(devI, devF, devO, **args)
fp.bprop_conv(devF, devE, devB, **args)
fp.update_conv(devI, devE, devU, **args)
print 'Done'
dim1 = (m,k)
dim2 = (k,n)
elif op == "tn":
dim1 = (m,k)
dim2 = (n,k)
A1 = np.random.randint(0x0, 0x7fff, size=dim1).astype(np.int64)
B1 = np.random.randint(0x0, 0x7fff, size=dim2).astype(np.int64)
A2 = fp.array(A1.astype(np.int16), iwlA)
B2 = fp.array(B1.astype(np.int16), iwlB)
# pick a reasonable output integer word length
iwlC = ((struct.unpack('I',struct.pack('f',float(0x7fff * 0x7fff * k / 2)))[0] & 0x7f800000) >> 23)-126
C2 = fp.empty((m,n), iwlC)
start = drv.Event()
end = drv.Event()
start.record()
for r in range(repeat):
if op == 'nt':
fp.dot(A2.T, B2, C2)
elif op == 'nn':
fp.dot(A2, B2, C2)
elif op == 'tn':
fp.dot(A2, B2.T, C2)
end.record()
