Lines Matching refs:data1

40     data1=np.random.randn(NBSAMPLES)
44     data1 = Tools.normalize(data1)
48     config.writeInput(1, data1)
51     ref = data1 + data2
54     ref = data1 - data2
57     ref = data1 * data2
60     ref = -data1
63     ref = data1 + 0.5
66     ref = data1 * 0.5
72     ref = np.array([np.dot(data1[0:nb] ,data2[0:nb])])
87     ref = np.array([np.dot(data1[0:nb] ,data2[0:nb])])
102     ref = np.array([np.dot(data1[0:nb] ,data2[0:nb])])
116     ref = abs(data1)
119     ref = np.array([np.dot(data1 ,data2)])
154     data1 = np.full(NBSAMPLES, 2**format - 1)
155     data1[1::2] = 2
166        config.writeInputS32(nb+1,data1-1,"MaxPosInput")
171        config.writeInputS16(nb+1,data1-1,"MaxPosInput")
176        config.writeInputS8(nb+1,data1-1,"MaxPosInput")
180     d1 = 1.0*(data1-1) / 2**format
189     d1 = 1.0*(data1-1) / 2**format
238     data1 = np.random.randint(minVal, maxVal, size=NBSAMPLES)
242        config.writeInputS32(nb,data1,"BitwiseInput")
246        config.writeInputS16(nb,data1,"BitwiseInput")
250        config.writeInputS8(nb,data1,"BitwiseInput")
253     ref = np.bitwise_and(data1, data2)
264     ref = np.bitwise_or(data1, data2)
275     ref = np.invert(data1)
286     ref = np.bitwise_xor(data1, data2)