change default quant to float for fp32

Author: lj970926

paddle/phi/kernels/xpu/xpu_api_wrapper.h

@@ -66,7 +66,7 @@ inline XPUFCCalcType FCCalcType() {
       {"XPU_PADDLE_FC_INT32_WITH_LL", XPUFCCalcType::FC_INT32_WITH_LL},
   };
 #ifdef PADDLE_WITH_XPU_XRE5
-  auto default_calc_type = XPUFCCalcType::FC_TF32;
+  auto default_calc_type = XPUFCCalcType::FC_FLOAT;
 #else
   auto default_calc_type = XPUFCCalcType::FC_INT16;
 #endif

test/xpu/test_conv2d_op_xpu.py

@@ -12,7 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import os
 import unittest
 
 import numpy as np
@@ -205,8 +204,6 @@ def setUp(self):
             self.init_dilation()
             self.init_test_case()
 
-            os.environ["XPU_PADDLE_CONV_FLOAT"] = "1"
-
             conv2d_param = {
                 'stride': self.stride,
                 'pad': self.pad,
@@ -363,8 +360,6 @@ def setUp(self):
             self.init_paddings()
             self.init_test_case_2()
 
-            os.environ["XPU_PADDLE_CONV_FLOAT"] = "1"
-
             conv2d_param = {
                 'stride': self.stride,
                 'pad': self.pad,

test/xpu/test_conv3d_op_xpu.py

@@ -12,7 +12,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import os
 import unittest
 
 import numpy as np
@@ -219,8 +218,6 @@ def setUp(self):
             self.init_dilation()
             self.init_test_case()
 
-            os.environ["XPU_PADDLE_CONV_FLOAT"] = "1"
-
             conv3d_param = {
                 'stride': self.stride,
                 'pad': self.pad,
@@ -393,8 +390,6 @@ def setUp(self):
 
             self.init_test_case_2()
 
-            os.environ["XPU_PADDLE_CONV_FLOAT"] = "1"
-
             conv3d_param = {
                 'stride': self.stride,
                 'pad': self.pad,

test/xpu/test_matmul_v2_op_xpu.py

@@ -77,7 +77,6 @@ def setUp(self):
             import os
 
             os.environ["XPU_PADDLE_L3_SIZE"] = str(13 * 1024 * 1024)
-            os.environ["XPU_PADDLE_FC_FLOAT"] = "1"
             x = np.random.random(self.x_shape)
             y = np.random.random(self.y_shape)