解决empty算子问题；增加ULP比对逻辑用于矩阵乘法（包括linear算子）

Acc/compare/algorithm.py

@@ -1,7 +1,7 @@
 # 定义比对算法及比对标准
 import paddle
 import numpy as np
-from compare.compare_utils import CompareConst, check_dtype_comparable
+from compare.compare_utils import CompareConst, check_dtype_comparable, ULP_PARAMETERS
 
 
 #cos
@@ -188,3 +188,19 @@ def check_norm_value(normal_value_mask, rel_err, rtol):
     err_mask = np.logical_and(err_mask, normal_value_mask)
     err_cnt = np.sum(err_mask)
     return 0 if np.sum(normal_value_mask) == 0 else err_cnt / np.sum(normal_value_mask)
+
+
+def get_ulp_err(bench_output, device_output, dtype):
+    parameters = ULP_PARAMETERS.get(dtype)
+    min_eb = (parameters.get('min_eb'))[0]
+    exponent_num = (parameters.get('exponent_num'))[0]
+    abs_bench = np.abs(bench_output)
+    eb = np.where(abs_bench == 0, 0, np.floor(np.log2(abs_bench)))
+    eb = np.maximum(eb, min_eb)
+
+    if dtype == paddle.float32:
+        ulp_err = (device_output.astype(np.float64) - bench_output).astype(np.float64) * np.exp2(-eb + exponent_num).astype(np.float64)
+    else:
+        ulp_err = (device_output.astype(np.float32) - bench_output).astype(np.float32) * np.exp2(-eb + exponent_num).astype(np.float32)
+    ulp_err = np.abs(ulp_err)
+    return ulp_err

Acc/compare/api_precision_standard.yaml

@@ -105,3 +105,27 @@ BinaryCompareStandard:
   - tril_
   - triu
   - triu_
+  - type_as
+
+ULPStandard:
+  - __matmul__
+  - addbmm
+  - addbmm_
+  - addmm
+  - addmm_
+  - baddbmm
+  - baddbmm_
+  - bilinear
+  - bmm
+  - chain_matmul
+  - hspmm
+  - linear
+  - matmul
+  - mm
+  - mv
+  - smm
+  - sspaddmm
+
+ThousandthStandard:
+  - conv1d
+  - conv2d