[TIPC] add scripts for NPU and XPU, test=develop

test_tipc/test_train_inference_python_npu.sh

+#!/bin/bash
+source test_tipc/common_func.sh
+
+function readlinkf() {
+    perl -MCwd -e 'print Cwd::abs_path shift' "$1";
+}
+
+function func_parser_config() {
+    strs=$1
+    IFS=" "
+    array=(${strs})
+    tmp=${array[2]}
+    echo ${tmp}
+}
+
+BASEDIR=$(dirname "$0")
+REPO_ROOT_PATH=$(readlinkf ${BASEDIR}/../)
+
+FILENAME=$1
+
+# disable mkldnn on non x86_64 env
+arch=$(uname -i)
+if [ $arch != 'x86_64' ]; then
+    sed -i 's/--enable_mkldnn:True|False/--enable_mkldnn:False/g' $FILENAME
+    sed -i 's/--enable_mkldnn:True/--enable_mkldnn:False/g' $FILENAME
+fi
+
+# change gpu to npu in tipc txt configs
+sed -i 's/use_gpu/use_npu/g' $FILENAME
+# disable benchmark as AutoLog required nvidia-smi command
+sed -i 's/--benchmark:True/--benchmark:False/g' $FILENAME
+dataline=`cat $FILENAME`
+
+# parser params
+IFS=$'\n'
+lines=(${dataline})
+
+# replace training config file
+grep -n 'tools/.*yml' $FILENAME  | cut -d ":" -f 1 \
+| while read line_num ; do
+    train_cmd=$(func_parser_value "${lines[line_num-1]}")
+    trainer_config=$(func_parser_config ${train_cmd})
+    sed -i 's/use_gpu/use_npu/g' "$REPO_ROOT_PATH/$trainer_config"
+done
+
+# change gpu to npu in execution script
+sed -i 's/\"gpu\"/\"npu\"/g' test_tipc/test_train_inference_python.sh
+
+# pass parameters to test_train_inference_python.sh
+cmd='bash test_tipc/test_train_inference_python.sh ${FILENAME} $2'
+echo -e '\033[1;32m Started to run command: ${cmd}!  \033[0m'
+eval $cmd

test_tipc/test_train_inference_python_xpu.sh

+#!/bin/bash
+source test_tipc/common_func.sh
+
+function readlinkf() {
+    perl -MCwd -e 'print Cwd::abs_path shift' "$1";
+}
+
+function func_parser_config() {
+    strs=$1
+    IFS=" "
+    array=(${strs})
+    tmp=${array[2]}
+    echo ${tmp}
+}
+
+BASEDIR=$(dirname "$0")
+REPO_ROOT_PATH=$(readlinkf ${BASEDIR}/../)
+
+FILENAME=$1
+
+# disable mkldnn on non x86_64 env
+arch=$(uname -i)
+if [ $arch != 'x86_64' ]; then
+    sed -i 's/--enable_mkldnn:True|False/--enable_mkldnn:False/g' $FILENAME
+    sed -i 's/--enable_mkldnn:True/--enable_mkldnn:False/g' $FILENAME
+fi
+
+# change gpu to xpu in tipc txt configs
+sed -i 's/use_gpu/use_xpu/g' $FILENAME
+# disable benchmark as AutoLog required nvidia-smi command
+sed -i 's/--benchmark:True/--benchmark:False/g' $FILENAME
+dataline=`cat $FILENAME`
+
+# parser params
+IFS=$'\n'
+lines=(${dataline})
+
+# replace training config file
+grep -n 'tools/.*yml' $FILENAME  | cut -d ":" -f 1 \
+| while read line_num ; do
+    train_cmd=$(func_parser_value "${lines[line_num-1]}")
+    trainer_config=$(func_parser_config ${train_cmd})
+    sed -i 's/use_gpu/use_xpu/g' "$REPO_ROOT_PATH/$trainer_config"
+done
+
+# change gpu to xpu in execution script
+sed -i 's/\"gpu\"/\"xpu\"/g' test_tipc/test_train_inference_python.sh
+
+# pass parameters to test_train_inference_python.sh
+cmd='bash test_tipc/test_train_inference_python.sh ${FILENAME} $2'
+echo -e '\033[1;32m Started to run command: ${cmd}!  \033[0m'
+eval $cmd

tools/infer/utility.py

@@ -36,6 +36,7 @@ def init_args():
     # params for prediction engine
     parser.add_argument("--use_gpu", type=str2bool, default=True)
     parser.add_argument("--use_xpu", type=str2bool, default=False)
+    parser.add_argument("--use_npu", type=str2bool, default=False)
     parser.add_argument("--ir_optim", type=str2bool, default=True)
     parser.add_argument("--use_tensorrt", type=str2bool, default=False)
     parser.add_argument("--min_subgraph_size", type=int, default=15)
@@ -245,6 +246,8 @@ def create_predictor(args, mode, logger):
                         f"when using tensorrt, dynamic shape is a suggested option, you can use '--shape_info_filename=shape.txt' for offline dygnamic shape tuning"
                     )
 
+        elif args.use_npu:
+            config.enable_npu()
         elif args.use_xpu:
             config.enable_xpu(10 * 1024 * 1024)
         else:
@@ -413,7 +416,8 @@ def draw_ocr_box_txt(image,
     for idx, (box, txt) in enumerate(zip(boxes, txts)):
         if scores is not None and scores[idx] < drop_score:
             continue
-        color = (random.randint(0, 255), random.randint(0, 255), random.randint(0, 255))
+        color = (random.randint(0, 255), random.randint(0, 255),
+                 random.randint(0, 255))
         draw_left.polygon(box, fill=color)
         img_right_text = draw_box_txt_fine((w, h), box, txt, font_path)
         pts = np.array(box, np.int32).reshape((-1, 1, 2))
@@ -427,8 +431,10 @@ def draw_ocr_box_txt(image,
 
 
 def draw_box_txt_fine(img_size, box, txt, font_path="./doc/fonts/simfang.ttf"):
-    box_height = int(math.sqrt((box[0][0] - box[3][0])**2 + (box[0][1] - box[3][1])**2))
-    box_width = int(math.sqrt((box[0][0] - box[1][0])**2 + (box[0][1] - box[1][1])**2))
+    box_height = int(
+        math.sqrt((box[0][0] - box[3][0])**2 + (box[0][1] - box[3][1])**2))
+    box_width = int(
+        math.sqrt((box[0][0] - box[1][0])**2 + (box[0][1] - box[1][1])**2))
 
     if box_height > 2 * box_width and box_height > 30:
         img_text = Image.new('RGB', (box_height, box_width), (255, 255, 255))
@@ -444,15 +450,19 @@ def draw_box_txt_fine(img_size, box, txt, font_path="./doc/fonts/simfang.ttf"):
             font = create_font(txt, (box_width, box_height), font_path)
             draw_text.text([0, 0], txt, fill=(0, 0, 0), font=font)
 
-    pts1 = np.float32([[0, 0], [box_width, 0], [box_width, box_height], [0, box_height]])
+    pts1 = np.float32(
+        [[0, 0], [box_width, 0], [box_width, box_height], [0, box_height]])
     pts2 = np.array(box, dtype=np.float32)
     M = cv2.getPerspectiveTransform(pts1, pts2)
 
     img_text = np.array(img_text, dtype=np.uint8)
-    img_right_text = cv2.warpPerspective(img_text, M, img_size,
-                                         flags=cv2.INTER_NEAREST,
-                                         borderMode=cv2.BORDER_CONSTANT,
-                                         borderValue=(255, 255, 255))
+    img_right_text = cv2.warpPerspective(
+        img_text,
+        M,
+        img_size,
+        flags=cv2.INTER_NEAREST,
+        borderMode=cv2.BORDER_CONSTANT,
+        borderValue=(255, 255, 255))
     return img_right_text
 
 

tools/program.py

@@ -114,7 +114,7 @@ def merge_config(config, opts):
     return config
 
 
-def check_device(use_gpu, use_xpu=False):
+def check_device(use_gpu, use_xpu=False, use_npu=False):
     """
     Log error and exit when set use_gpu=true in paddlepaddle
     cpu version.
@@ -134,24 +134,8 @@ def check_device(use_gpu, use_xpu=False):
         if use_xpu and not paddle.device.is_compiled_with_xpu():
             print(err.format("use_xpu", "xpu", "xpu", "use_xpu"))
             sys.exit(1)
-    except Exception as e:
-        pass
-
-
-def check_xpu(use_xpu):
-    """
-    Log error and exit when set use_xpu=true in paddlepaddle
-    cpu/gpu version.
-    """
-    err = "Config use_xpu cannot be set as true while you are " \
-          "using paddlepaddle cpu/gpu version ! \nPlease try: \n" \
-          "\t1. Install paddlepaddle-xpu to run model on XPU \n" \
-          "\t2. Set use_xpu as false in config file to run " \
-          "model on CPU/GPU"
-
-    try:
-        if use_xpu and not paddle.is_compiled_with_xpu():
-            print(err)
+        if use_npu and not paddle.device.is_compiled_with_npu():
+            print(err.format("use_npu", "npu", "npu", "use_npu"))
             sys.exit(1)
     except Exception as e:
         pass
@@ -279,7 +263,9 @@ def train(config,
                 model_average = True
             # use amp
             if scaler:
-                with paddle.amp.auto_cast(level=amp_level, custom_black_list=amp_custom_black_list):
+                with paddle.amp.auto_cast(
+                        level=amp_level,
+                        custom_black_list=amp_custom_black_list):
                     if model_type == 'table' or extra_input:
                         preds = model(images, data=batch[1:])
                     elif model_type in ["kie"]:
@@ -479,7 +465,7 @@ def eval(model,
          extra_input=False,
          scaler=None,
          amp_level='O2',
-         amp_custom_black_list = []):
+         amp_custom_black_list=[]):
     model.eval()
     with paddle.no_grad():
         total_frame = 0.0
@@ -500,7 +486,9 @@ def eval(model,
 
             # use amp
             if scaler:
-                with paddle.amp.auto_cast(level=amp_level, custom_black_list=amp_custom_black_list):
+                with paddle.amp.auto_cast(
+                        level=amp_level,
+                        custom_black_list=amp_custom_black_list):
                     if model_type == 'table' or extra_input:
                         preds = model(images, data=batch[1:])
                     elif model_type in ["kie"]:
@@ -627,14 +615,9 @@ def preprocess(is_train=False):
     logger = get_logger(log_file=log_file)
 
     # check if set use_gpu=True in paddlepaddle cpu version
-    use_gpu = config['Global']['use_gpu']
+    use_gpu = config['Global'].get('use_gpu', False)
     use_xpu = config['Global'].get('use_xpu', False)
-
-    # check if set use_xpu=True in paddlepaddle cpu/gpu version
-    use_xpu = False
-    if 'use_xpu' in config['Global']:
-        use_xpu = config['Global']['use_xpu']
-    check_xpu(use_xpu)
+    use_npu = config['Global'].get('use_npu', False)
 
     alg = config['Architecture']['algorithm']
     assert alg in [
@@ -647,10 +630,12 @@ def preprocess(is_train=False):
 
     if use_xpu:
         device = 'xpu:{0}'.format(os.getenv('FLAGS_selected_xpus', 0))
+    elif use_npu:
+        device = 'npu:{0}'.format(os.getenv('FLAGS_selected_npus', 0))
     else:
         device = 'gpu:{}'.format(dist.ParallelEnv()
                                  .dev_id) if use_gpu else 'cpu'
-    check_device(use_gpu, use_xpu)
+    check_device(use_gpu, use_xpu, use_npu)
 
     device = paddle.set_device(device)