输出和 feeb_dict inside session FailedPreconditionError（见上文的回溯）：尝试使用未初始化的值

Question

我正在将 MTCNN tensorflow 转换为 tensorflow tensorRT

当我运行camera_test.py

我收到这个错误 FailedPreconditionError: Attempting to use uninitialized in Tensorflow

Traceback (most recent call last): File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1334, in _do_call return fn(*args) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1319, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1407, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.FailedPreconditionError: Attempting to use uninitialized value conv4_2/biases [[{{node conv4_2/biases/read}}]] [[{{node Squeeze_1}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "camera_test_trrt.py", line 48, in boxes_c,landmarks = mtcnn_detector.detect(image) File "../Detection/MtcnnDetector.py", line 371, in detect boxes, boxes_c, _ = self.detect_pnet(img) File "../Detection/MtcnnDetector.py", line 221, in detect_pnet cls_cls_map, reg = self.pnet_detector.predict(im_resized) File "../Detection/fcn_detector_trrt.py", line 56, in predict self.height_op: height}) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 929, in run run_metadata_ptr) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1152, in _run feed_dict_tensor, options, run_metadata) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1328, in _do_run run_metadata) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1348, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.FailedPreconditionError: Attempting to use uninitialized value conv4_2/biases [[node conv4_2/biases/read (defined at ../train_models/mtcnn_model.py:208) ]] [[node Squeeze_1 (defined at ../train_models/mtcnn_model.py:245) ]]

Caused by op 'conv4_2/biases/read', defined at: File "camera_test_trrt.py", line 23, in PNet = FcnDetector(P_Net, '/home/jetsonnano/Downloads/MTCNN-Tensorflow-master/test/p_output_graph_FP16.pb') File "../Detection/fcn_detector_trrt.py", line 23, in init self.cls_prob, self.bbox_pred, _ = net_factory(image_reshape, training=False) File "../train_models/mtcnn_model.py", line 208, in P_Net bbox_pred = slim.conv2d(net,num_outputs=4,kernel_size=[1,1],stride=1,scope='conv4_2',activation_fn=None) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 182, in func_with_args return func(*args, **current_args) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/layers/python/layers/layers.py", line 1158, in convolution2d conv_dims=2) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 182, in func_with_args return func(*args, **current_args) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/layers/python/layers/layers.py", line 1061, in convolution outputs = layer.apply(inputs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer.py", line 1227, in apply return self.call(inputs, *args, **kwargs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/layers/base.py", line 530, in call outputs = super(Layer, self).call(inputs, *args, **kwargs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer.py", line 538, in call self._maybe_build(inputs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer.py", line 1603, in _maybe_build self.build(input_shapes) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/keras/layers/convolutional.py", line 174, in build dtype=self.dtype) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/layers/base.py", line 435, in add_weight getter=vs.get_variable) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer.py", line 349, in add_weight aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/training/checkpointable/base.py", line 607, in _add_variable_with_custom_getter **kwargs_for_getter) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 1479, in get_variable aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 1220, in get_variable aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 530, in get_variable return custom_getter(**custom_getter_kwargs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/layers/python/layers/layers.py", line 1753, in layer_variable_getter return _model_variable_getter(getter, *args, **kwargs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/layers/python/layers/layers.py", line 1744, in _model_variable_getter aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 182, in func_with_args return func(*args, **current_args) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/framework/python/ops/variables.py", line 350, in model_variable aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 182, in func_with_args return func(*args, **current_args) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/contrib/framework/python/ops/variables.py", line 277, in variable aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 499, in _true_getter aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 911, in _get_single_variable aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 213, in call return cls._variable_v1_call(*args, **kwargs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 176, in _variable_v1_call aggregation=aggregation) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 155, in previous_getter = lambda **kwargs: default_variable_creator(None, **kwargs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 2495, in default_variable_creator expected_shape=expected_shape, import_scope=import_scope) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 217, in call return super(VariableMetaclass, cls).call(*args, **kwargs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 1395, in init constraint=constraint) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 1557, in _init_from_args self._snapshot = array_ops.identity(self._variable, name="read") File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/util/dispatch.py", line 180, in wrapper return target(*args, **kwargs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py", line 81, in identity ret = gen_array_ops.identity(input, name=name) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py", line 3890, in identity "Identity", input=input, name=name) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper op_def=op_def) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func return func(*args, **kwargs) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3300, in create_op op_def=op_def) File "/home/jetsonnano/.virtualenvs/jetsonnanotest/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1801, in init self._traceback = tf_stack.extract_stack()

FailedPreconditionError (see above for traceback): Attempting to use uninitialized value conv4_2/biases [[node conv4_2/biases/read (defined at ../train_models/mtcnn_model.py:208) ]] [[node Squeeze_1 (defined at ../train_models/mtcnn_model.py:245) ]]

我tf.global_variables_initializer如何sess.run

init_op = tf.initialize_all_variables()

sess = tf.Session()
sess.run(init_op)

当我在 sess.run

中有 output parameters 和 feed_dict

cls_prob, bbox_pred,landmark_pred = self.sess.run([self.cls_prob, self.bbox_pred,self.landmark_pred], feed_dict={self.image_op: 数据}) 在 detector.py

和

cls_prob, bbox_pred = self.sess.run([self.cls_prob, self.bbox_pred],feed_dict={self.image_op：数据批次，self.width_op：宽度，self.height_op：高度}) 在 fcn_detector.py

有人可以帮忙吗？

Answer 1

就在the following line

之后

self.sess = tf.Session( config=tf.ConfigProto(allow_soft_placement=True, gpu_options=tf.GPUOptions(allow_growth=True)))

声明

init_op = tf.global_variables_initializer() 

并做

self.sess.run(init_op)