matmul use fp32 compute_type (#8733)

tools/train.py

@@ -152,9 +152,10 @@ def main(config, device, logger, vdl_writer):
         AMP_RELATED_FLAGS_SETTING = {'FLAGS_max_inplace_grad_add': 8, }
         if paddle.is_compiled_with_cuda():
             AMP_RELATED_FLAGS_SETTING.update({
-                'FLAGS_cudnn_batchnorm_spatial_persistent': 1
+                'FLAGS_cudnn_batchnorm_spatial_persistent': 1,
+                'FLAGS_gemm_use_half_precision_compute_type': 0,
             })
-        paddle.fluid.set_flags(AMP_RELATED_FLAGS_SETTING)
+        paddle.set_flags(AMP_RELATED_FLAGS_SETTING)
         scale_loss = config["Global"].get("scale_loss", 1.0)
         use_dynamic_loss_scaling = config["Global"].get(
             "use_dynamic_loss_scaling", False)