Cambricon-Test
Cambricon-Test for BANG as a homework
问题描述
解答
bangConsine
代码
核心代码：
// calculate sum (Xi * Yi)
for (int32_t i = 0; i < M; i++)
{
// GET LINE DATA INTO CAL NRAM
__memcpy(calX_nram, inputX_nram + i * ONELINE, ONELINE * sizeof(half), NRAM2NRAM);
__memcpy(calY_nram, inputY_nram + i * ONELINE, ONELINE * sizeof(half), NRAM2NRAM);
// __bang_mul_const(calX_nram, calX_nram, 0.005, ONELINE);
// __bang_mul_const(calY_nram, calY_nram, 0.005, ONELINE);
// XY
__bang_mul(temp1_nram, calX_nram, calY_nram, ONELINE); // x*y
__bang_add(tempXY_nram, temp1_nram, tempXY_nram, ONELINE); // result += x*y
// XX
__bang_mul(temp2_nram, calX_nram, calX_nram, ONELINE); // x*x
__bang_add(tempXX_nram, temp2_nram, tempXX_nram, ONELINE); // result += x*x
// YY
__bang_mul(temp3_nram, calY_nram, calY_nram, ONELINE); // y*y
__bang_add(tempYY_nram, temp3_nram, tempYY_nram, ONELINE); // result += y*y
}
// XX=1/(power1/2,Xx)
__bang_add(tempXX_nram, tempXX_nram, esp_nram, ONELINE);
__bang_active_sqrt(tempXX_nram, tempXX_nram, ONELINE);
__bang_active_recip(tempXX_nram, tempXX_nram, ONELINE);
// YY=1/(power1/2,YY)
__bang_add(tempYY_nram, tempYY_nram, esp_nram, ONELINE);
__bang_active_sqrt(tempYY_nram, tempYY_nram, ONELINE);
__bang_active_recip(tempYY_nram, tempYY_nram, ONELINE);
__bang_mul(temp2_nram, tempYY_nram, tempXX_nram, ONELINE); // 1 / XX * YY
__bang_mul(temp3_nram, tempXY_nram, temp2_nram, ONELINE); // XY / XX*结果
M: 256
N: 256
LEN: 65536
+++++++++++++++++test1++++++++++++++++++++
CNRT: 3.12.0 7bfac76
Hardware Total Time: 0.243 ms
_________this is test____________
cpu sum :0.000010
Total error:0.000000, MAE:0.000000
err rate = 0.0000%
+++++++++++++++++test2++++++++++++++++++++
CNRT: 3.12.0 7bfac76
Hardware Total Time: 0.243 ms
_________this is test____________
cpu sum :256.000000
Total error:0.500000, MAE:0.000008
err rate = 0.1953%
+++++++++++++++++test3++++++++++++++++++++
CNRT: 3.12.0 7bfac76
Hardware Total Time: 0.243 ms
_________this is test____________
cpu sum :15.292888
Total error:0.123910, MAE:0.000002
err rate = 0.8102%
+++++++++++++++++test4++++++++++++++++++++
CNRT: 3.12.0 7bfac76
Hardware Total Time: 0.243 ms
_________this is test____________
cpu sum :256.000000
Total error:0.500000, MAE:0.000008
err rate = 0.1953%
+++++++++++++++++test5++++++++++++++++++++
CNRT: 3.12.0 7bfac76
Hardware Total Time: 0.243 ms
_________this is test____________
cpu sum :0.000010
Total error:0.000000, MAE:0.000000
err rate = 0.0000%
+++++++++++++++++test6++++++++++++++++++++
CNRT: 3.12.0 7bfac76
Hardware Total Time: 0.243 ms
_________this is test____________
cpu sum :187.375519
Total error:1.772051, MAE:0.000027
err rate = 0.9457%
bangBN
代码
核心代码：
// tans
__bang_transpose(tans_nram, input_nram, M, N);
// add SUM(X)
for (int32_t i = 0; i < N; i++)
{
__bang_add(temp1_nram, tans_nram + i * M, temp1_nram, M);
}
// AVG = sum(x) / N
__bang_mul_const(avg_nram, temp1_nram, REN, M);
//variance
// SUM((X-AVG)^2)
for (int32_t i = 0; i < N; i++)
{
__bang_sub(temp1_nram, tans_nram + i * M, avg_nram, M); // X - AVG
__bang_mul(temp1_nram, temp1_nram, temp1_nram, M); // (X-AVG)^2
__bang_add(temp2_nram, temp1_nram, temp2_nram, M); // temp2 = SUM((X-AVG)^2)
}
// var = temp2 / N
__bang_mul_const(var_nram, temp2_nram, REN, M);
// Standardization x
__bang_add(temp2_nram, var_nram, esp_nram, M); // temp2 = var + esp
__bang_active_sqrt(temp2_nram, var_nram, M); // temp2 = sqrt(var + esp)
__bang_active_recip(temp2_nram, temp2_nram, M); // temp2 = 1/temp2 = 1/sqrt(var + esp)
for (int32_t i = 0; i < N; i++)
{
__bang_sub(temp1_nram, tans_nram + i * M, avg_nram, M); // temp1 = X - AVG
__bang_mul(sta_nram + i * M, temp1_nram, temp2_nram, M); // sta = temp1 * temp2 = X - AVG / sqrt(var + esp)
}
// result = 2.0 * staX + beta
__bang_mul_const(result_nram, sta_nram, 1.957, LEN); // 2.0
__bang_add(result_nram, result_nram, beta_nram, LEN); // RESULT + =beta
// tans return
__bang_transpose(tans_nram, result_nram, N, M);结果
M: 128
N: 256
LEN: 32768
++++++++++++++++test1+++++++++++++++++++CNRT: 3.12.0 7bfac76
Hardware Total Time: 0.218 ms
---cpu---
Total error:171.333694, MAE:0.005229
err rate = 0.2956%
++++++++++++++++test2+++++++++++++++++++CNRT: 3.12.0 7bfac76
Hardware Total Time: 0.219 ms
---cpu---
Total error:0.000000, MAE:0.000000
err rate = 0.0000%
++++++++++++++++testfile+++++++++++++++++++CNRT: 3.12.0 7bfac76
Hardware Total Time: 0.218 ms
---cpu---
Total error:921.975342, MAE:0.028136
err rate = 1.2905%
bangTripleloss
代码
核心代码：
for (int32_t i = 0; i < M; i++)
{
__memcpy(inputA_nram , inputA + i * N, N * sizeof(half), GDRAM2NRAM);
__memcpy(inputP_nram , inputP + i * N, N * sizeof(half), GDRAM2NRAM);
__memcpy(inputN_nram , inputN + i * N, N * sizeof(half), GDRAM2NRAM);
// __bang_mul_const(calX_nram, calX_nram, 0.005, ONELINE);
__bang_sub(tempa_nram, inputA_nram, inputP_nram, ONELINE); // A-P
__bang_abs(tempa_nram); // | A - P |
__bang_add(adda_nram, adda_nram, tempa_nram, ONELINE); // adda = sum (| A - P |)
__bang_sub(tempb_nram, inputA_nram, inputN_nram, ONELINE); // A-N
__bang_abs(tempb_nram); // | A - N |
__bang_add(addb_nram, addb_nram, tempb_nram, ONELINE); // addb = sum (| A - N |)
}
__bang_sub(tempa_nram, adda_nram,addb_nram, ONELINE); // tempa = adda - addb
__bang_add(tempb_nram, tempa_nram, const_nram, ONELINE); // tempa += margin
// if <0 change it to 0
for (int32_t i = 0; i < N; i++)
{
if (tempb_nram[i]<0)
{
tempb_nram[i] = 0 ;
}
}结果
M: 128
N: 256
LEN: 32768
+++++++++++++++++test1++++++++++++++++++++
CNRT: 3.12.0 7bfac76
Hardware Total Time: 0.137 ms
Total error:0.000000, MAE:0.000000
err rate = 0.0000%
+++++++++++++++++test2++++++++++++++++++++
CNRT: 3.12.0 7bfac76
Hardware Total Time: 0.137 ms
Total error:0.000000, MAE:0.000000
err rate = 0.0000%
+++++++++++++++++test3++++++++++++++++++++
CNRT: 3.12.0 7bfac76
Hardware Total Time: 0.138 ms
Total error:0.000000, MAE:0.000000
err rate = 0.0000%
+++++++++++++++++test4++++++++++++++++++++
CNRT: 3.12.0 7bfac76
Hardware Total Time: 0.137 ms
Total error:0.000000, MAE:0.000000
err rate = 0.0000%
+++++++++++++++++test5++++++++++++++++++++
CNRT: 3.12.0 7bfac76
Hardware Total Time: 0.136 ms
Total error:0.000000, MAE:0.000000
err rate = 0.0000%
+++++++++++++++++test6++++++++++++++++++++
CNRT: 3.12.0 7bfac76
Hardware Total Time: 0.138 ms
Total error:1.975058, MAE:0.000060
err rate = 0.9851%
bangPowerXY
代码
核心代码：
__memcpy(inputX_nram, inputX + i * ONELINE, ONELINE * sizeof(half), GDRAM2NRAM);
__memcpy(inputY_nram, inputY + i * ONELINE, ONELINE * sizeof(half), GDRAM2NRAM);
__nramset_half(temp1_nram, ONELINE, 7.0); //t0=0
for (int32_t j = 1; j <= ITER_NUM;j++) {
__bang_mul_const(temp2_nram, temp1_nram, -1.0, ONELINE); // -tn
__bang_active_exp(temp2_nram, temp2_nram, ONELINE); // exp(-tn)
__bang_mul(temp2_nram, inputX_nram, temp2_nram, ONELINE); // x*exp(-tn)
__bang_add(temp1_nram, temp1_nram, temp2_nram, ONELINE); // tn + x*exp(-tn)
__bang_sub(temp1_nram, temp1_nram, const_nram, ONELINE); // tn + x*exp(-tn) -1
}
__bang_mul(temp1_nram, temp1_nram, inputY_nram, ONELINE); // term = inputY * ln(inputX)
__bang_active_exp(temp1_nram, temp1_nram, ONELINE); // result = exp(term)结果
M: 128
N: 256
LEN: 32768
CNRT: 3.12.0 7bfac76
Hardware Total Time: 189.127 ms
MAE = 0.2459
err rate = 0.9516%
CNRT: 3.12.0 7bfac76
Hardware Total Time: 189.125 ms
MAE = 0.0156
err rate = 0.3906%