Lines Matching refs:data2

41     data2=np.random.randn(NBSAMPLES)
45     data2 = Tools.normalize(data2)
49     config.writeInput(2, data2)
51     ref = data1 + data2
54     ref = data1 - data2
57     ref = data1 * data2
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])])
119     ref = np.array([np.dot(data1 ,data2)])
156     data2 = np.full(NBSAMPLES, -2**format)
157     data2[1::2] = -2
167        config.writeInputS32(nb+1,data2+1,"MaxNegInput")
168        config.writeInputS32(nb+1,data2,"MaxNeg2Input")
172        config.writeInputS16(nb+1,data2+1,"MaxNegInput")
173        config.writeInputS16(nb+1,data2,"MaxNeg2Input")
177        config.writeInputS8(nb+1,data2+1,"MaxNegInput")
178        config.writeInputS8(nb+1,data2,"MaxNeg2Input")
181     d2 = 1.0*(data2+1) / 2**format
182     d3 = 1.0*(data2) / 2**format
190     d2 = 1.0*(data2+1) / 2**format
239     data2 = np.random.randint(minVal, maxVal, size=NBSAMPLES)
243        config.writeInputS32(nb+1,data2,"BitwiseInput")
247        config.writeInputS16(nb+1,data2,"BitwiseInput")
251        config.writeInputS8(nb+1,data2,"BitwiseInput")
253     ref = np.bitwise_and(data1, data2)
264     ref = np.bitwise_or(data1, data2)
286     ref = np.bitwise_xor(data1, data2)