Closed mindmad closed 5 years ago
ZongxuPan
commented
5 years ago Hello @ZongxuPan
I am interested in implementing your model. I would appreciate if you could provide any help or guide to how to implement it
I am waiting for your response
Please detail your problems when running the code.
mindmad
commented
5 years ago Hello @ZongxuPan
thank you for replying and your help
when I tried to implement the model it gives me the following :
python Drbox.py --train Preprocessing 0 W0714 12:45:06.718020 140583412868864 deprecation_wrapper.py:119] From Drbox.py:74: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
W0714 12:45:06.722401 140583412868864 deprecation_wrapper.py:119] From /home/liu/Desktop/soswa/DrBox-v2-tensorflow/model.py:22: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.
W0714 12:45:07.258468 140583412868864 deprecation_wrapper.py:119] From /home/liu/Desktop/soswa/DrBox-v2-tensorflow/model.py:47: The name tf.image.resize_images is deprecated. Please use tf.image.resize instead.
W0714 12:45:07.474842 140583412868864 deprecation.py:323] From Drbox.py:110: softmax_cross_entropy_with_logits (from tensorflow.python.ops.nn_ops) is deprecated and will be removed in a future version. Instructions for updating:
Future major versions of TensorFlow will allow gradients to flow into the labels input on backprop by default.
See
tf.nn.softmax_cross_entropy_with_logits_v2.W0714 12:45:07.519268 140583412868864 deprecation.py:323] From Drbox.py:124: add_dispatch_support.
.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.where in 2.0, which has the same broadcast rule as np.where W0714 12:45:07.520751 140583412868864 deprecation_wrapper.py:119] From /home/liu/Desktop/soswa/DrBox-v2-tensorflow/model.py:137: The name tf.get_collection is deprecated. Please use tf.compat.v1.get_collection instead. W0714 12:45:07.520850 140583412868864 deprecation_wrapper.py:119] From /home/liu/Desktop/soswa/DrBox-v2-tensorflow/model.py:137: The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead.
W0714 12:45:07.572814 140583412868864 deprecation_wrapper.py:119] From Drbox.py:98: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.
W0714 12:45:07.605399 140583412868864 deprecation_wrapper.py:119] From Drbox.py:99: The name tf.GPUOptions is deprecated. Please use tf.compat.v1.GPUOptions instead.
2019-07-14 12:45:07.605630: I tensorflow/core/platform/cpu_feature_guard.cc:145] This TensorFlow binary is optimized with Intel(R) MKL-DNN to use the following CPU instructions in performance critical operations: SSE4.1 SSE4.2 AVX AVX2 FMA To enable them in non-MKL-DNN operations, rebuild TensorFlow with the appropriate compiler flags. 2019-07-14 12:45:07.631672: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3492235000 Hz 2019-07-14 12:45:07.632447: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x555ddb850d30 executing computations on platform Host. Devices: 2019-07-14 12:45:07.632469: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0):
, OMP: Info #212: KMP_AFFINITY: decoding x2APIC ids. OMP: Info #210: KMP_AFFINITY: Affinity capable, using global cpuid leaf 11 info OMP: Info #154: KMP_AFFINITY: Initial OS proc set respected: 0-15 OMP: Info #156: KMP_AFFINITY: 16 available OS procs OMP: Info #157: KMP_AFFINITY: Uniform topology OMP: Info #179: KMP_AFFINITY: 2 packages x 4 cores/pkg x 2 threads/core (8 total cores) OMP: Info #214: KMP_AFFINITY: OS proc to physical thread map: OMP: Info #171: KMP_AFFINITY: OS proc 0 maps to package 0 core 0 thread 0 OMP: Info #171: KMP_AFFINITY: OS proc 8 maps to package 0 core 0 thread 1 OMP: Info #171: KMP_AFFINITY: OS proc 1 maps to package 0 core 1 thread 0 OMP: Info #171: KMP_AFFINITY: OS proc 9 maps to package 0 core 1 thread 1 OMP: Info #171: KMP_AFFINITY: OS proc 2 maps to package 0 core 2 thread 0 OMP: Info #171: KMP_AFFINITY: OS proc 10 maps to package 0 core 2 thread 1 OMP: Info #171: KMP_AFFINITY: OS proc 3 maps to package 0 core 3 thread 0 OMP: Info #171: KMP_AFFINITY: OS proc 11 maps to package 0 core 3 thread 1 OMP: Info #171: KMP_AFFINITY: OS proc 4 maps to package 1 core 0 thread 0 OMP: Info #171: KMP_AFFINITY: OS proc 12 maps to package 1 core 0 thread 1 OMP: Info #171: KMP_AFFINITY: OS proc 5 maps to package 1 core 1 thread 0 OMP: Info #171: KMP_AFFINITY: OS proc 13 maps to package 1 core 1 thread 1 OMP: Info #171: KMP_AFFINITY: OS proc 6 maps to package 1 core 2 thread 0 OMP: Info #171: KMP_AFFINITY: OS proc 14 maps to package 1 core 2 thread 1 OMP: Info #171: KMP_AFFINITY: OS proc 7 maps to package 1 core 3 thread 0 OMP: Info #171: KMP_AFFINITY: OS proc 15 maps to package 1 core 3 thread 1 OMP: Info #250: KMP_AFFINITY: pid 31838 tid 31838 thread 0 bound to OS proc set 0 2019-07-14 12:45:07.633663: I tensorflow/core/common_runtime/process_util.cc:115] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance. W0714 12:45:07.634199 140583412868864 deprecation_wrapper.py:119] From Drbox.py:248: The name tf.train.AdamOptimizer is deprecated. Please use tf.compat.v1.train.AdamOptimizer instead. 2019-07-14 12:45:09.562054: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile. [] Reading checkpoints... [] Failed to find a checkpoint [*] Load the pretrained network Traceback (most recent call last): File "Drbox.py", line 469, in
net.train() File "Drbox.py", line 252, in train could_load, checkpoint_counter = self.load() File "Drbox.py", line 447, in load self.load_prenet() File "Drbox.py", line 451, in load_prenet data_list = np.load(PRETRAINED_NET_PATH).item() File "/home/liu/.local/lib/python3.6/site-packages/numpy/lib/npyio.py", line 447, in load pickle_kwargs=pickle_kwargs) File "/home/liu/.local/lib/python3.6/site-packages/numpy/lib/format.py", line 692, in read_array raise ValueError("Object arrays cannot be loaded when " ValueError: Object arrays cannot be loaded when allow_pickle=False
I have tried to understand what want wrong but I couldn't. so any help i will be very appreciate.
mindmad
commented
5 years ago hi @ZongxuPan
after searching online, I found a solution which said to downgrade numpy. so I did however, it shows me the following error
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ZongxuPan
commented
5 years ago Hello @ZongxuPan
I am interested in implementing your model. I would appreciate if you could provide any help or guide to how to implement it
I am waiting for your response
I think the incompatibility of some packages causes this issue probably. In our implementation, the main packages and their versions are as follows: tensorflow1.2.1, python2.7, numpy1.13.
mindmad
commented
5 years ago @ZongxuPan I appreciate your replay and help. I was using python3.6 I thought the code was in python3 . I have change and make sure my packages is the same as yours . however i got this error:
OMP: Info #250: KMP_AFFINITY: pid 24207 tid 24405 thread 31 bound to OS proc set 15 OMP: Info #250: KMP_AFFINITY: pid 24207 tid 24406 thread 32 bound to OS proc set 0 2019-07-15 15:02:34.191862: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at mkl_slice_op.cc:438 : Aborted: Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 2019-07-15 15:02:34.211910: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at mkl_slice_op.cc:438 : Aborted: Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 2019-07-15 15:02:34.223745: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at mkl_slice_op.cc:438 : Aborted: Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 2019-07-15 15:02:34.227621: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at mkl_slice_op.cc:438 : Aborted: Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 2019-07-15 15:02:34.229168: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at mkl_slice_op.cc:438 : Aborted: Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 2019-07-15 15:02:34.261862: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at mkl_slice_op.cc:438 : Aborted: Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 2019-07-15 15:02:34.279937: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at mkl_slice_op.cc:438 : Aborted: Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 2019-07-15 15:02:34.300732: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at mkl_slice_op.cc:438 : Aborted: Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 2019-07-15 15:02:34.447623: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at mkl_slice_op.cc:438 : Aborted: Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 2019-07-15 15:02:34.463576: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at mkl_slice_op.cc:438 : Aborted: Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 2019-07-15 15:02:34.475863: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at mkl_slice_op.cc:438 : Aborted: Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 2019-07-15 15:02:34.491365: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at mkl_slice_op.cc:438 : Aborted: Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 2019-07-15 15:02:34.503612: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at mkl_slice_op.cc:438 : Aborted: Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 2019-07-15 15:02:34.504976: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at mkl_slice_op.cc:438 : Aborted: Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 2019-07-15 15:02:34.505393: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at mkl_slice_op.cc:438 : Aborted: Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 2019-07-15 15:02:34.512617: W tensorflow/core/framework/op_kernel.cc:1401] OP_REQUIRES failed at mkl_slice_op.cc:438 : Aborted: Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 Traceback (most recent call last): File "Drbox.py", line 480, in
net.train() File "Drbox.py", line 330, in train self.batch_pos_idx:batch_pos_idx, self.batch_neg_mask:batch_neg_mask, self.pos_label:pos_label, self.neg_label:neg_label}) File "/home/liu/.conda/envs/soswapy27/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 929, in run run_metadata_ptr) File "/home/liu/.conda/envs/soswapy27/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1152, in _run feed_dict_tensor, options, run_metadata) File "/home/liu/.conda/envs/soswapy27/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1328, in _do_run run_metadata) File "/home/liu/.conda/envs/soswapy27/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1348, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.AbortedError: Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 [[node VGG16/Slice_3 (defined at /home/liu/Desktop/soswa/DrBox-v2-tensorflow/model.py:72) ]] Caused by op u'VGG16/Slice_3', defined at: File "Drbox.py", line 477, in
net = DrBoxNet() File "Drbox.py", line 98, in init self.loc, self.conf = self.detector(self.input_im) File "/home/liu/Desktop/soswa/DrBox-v2-tensorflow/model.py", line 72, in call conf4_i = tf.slice(conf4, [idx, 0, 0, 0], [1, -1, -1, -1]) File "/home/liu/.conda/envs/soswapy27/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 707, in slice return gen_array_ops.slice(input, begin, size, name=name) File "/home/liu/.conda/envs/soswapy27/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 8236, in _slice "Slice", input=input, begin=begin, size=size, name=name) File "/home/liu/.conda/envs/soswapy27/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper op_def=op_def) File "/home/liu/.conda/envs/soswapy27/lib/python2.7/site-packages/tensorflow/python/util/deprecation.py", line 507, in new_func return func(*args, **kwargs) File "/home/liu/.conda/envs/soswapy27/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 3300, in create_op op_def=op_def) File "/home/liu/.conda/envs/soswapy27/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1801, in init self._traceback = tf_stack.extract_stack() AbortedError (see above for traceback): Operation received an exception:Status: 5, message: could not create a view primitive descriptor, in file tensorflow/core/kernels/mkl_slice_op.cc:435 [[node VGG16/Slice_3 (defined at /home/liu/Desktop/soswa/DrBox-v2-tensorflow/model.py:72) ]]
ZongxuPan
commented
5 years ago Hello @ZongxuPan I am interested in implementing your model. I would appreciate if you could provide any help or guide to how to implement it I am waiting for your response
I think the incompatibility of some packages causes this issue probably. In our implementation, the main packages and their versions are as follows: tensorflow1.2.1, python2.7, numpy1.13.
you mean tensorflow 1.12.3 right
We use tensorflow1.2.1, and cuda8.
mindmad
commented
5 years ago @ZongxuPan what about the error .do you have any idea or advice.
ZongxuPan
commented
5 years ago @ZongxuPan what about the error .do you have any idea or advice.
I suggest to use tensorflow1.2.1, since the calling manner of some functions in tensorflow is changed between various versions. Otherwise, I think the only way is to find the useage change and modify the code accordingly.
mindmad
commented
5 years ago @ZongxuPan thank you for your replay and help.
I have made a fresh installation in my environment and I use the same packages you said. now the model is working but it's using the CPU, not the GPU. Is there any way to make it use my GPU.
and also when I wont to visualize the loess or AP or mAP. how to do that.
ZongxuPan
commented
5 years ago @ZongxuPan thank you for your replay and help.
I have made a fresh installation in my environment and I use the same packages you said. now the model is working but it's using the CPU, not the GPU. Is there any way to make it use my GPU.
and also when I wont to visualize the loess or AP or mAP. how to do that.
I have no idea why your GPU does not work.
mindmad
commented
5 years ago @ZongxuPan what about the other parameter like mAP or AP is there any way to visualize them
ZongxuPan
commented
5 years ago @ZongxuPan thank you for your replay and help.
I have made a fresh installation in my environment and I use the same packages you said. now the model is working but it's using the CPU, not the GPU. Is there any way to make it use my GPU.
and also when I wont to visualize the loess or AP or mAP. how to do that.
We compute the losses and print them in screen every DISPLAY_INTERVAL iterations. If you want to visualize the losses, just save them and then plot them. My colleague will answer the question about how to compute the AP value later.
Anquanzhi
commented
5 years ago It is recommended that you troubleshoot the cause of the error from the following reasons: 1 Please confirm that your version of tensorflow is GPU-calculated. 2 If you have a different version of tensorflow installed, please make sure that the newer version is GPU-calculated. 3 The CUDA version also needs to be compatible with the driver version of the GPU. To this end, we provide you with our environment configuration as a reference: GPU: 1080Ti, CUDA8.0.61, driver version:375.66 4 Tensorflow has certain requirements for GPU computing ability, please ensure that your GPU has considerable power. 5 In addition, you can enter the following commands to ensure that devices are available in your environment: from tensorflow.python.client import device_lib print(device_lib.list_local_devices())
ZongxuPan
commented
5 years ago @ZongxuPan what about the other parameter like mAP or AP is there any way to visualize them
We are arranging the code of computing AP and the instruction, please wait a moment.
ZongxuPan
commented
5 years ago @ZongxuPan what about the other parameter like mAP or AP is there any way to visualize them
We updated our codes just now. In this version, we provide the tool for evaluating the test results, please see the README.md for details. In addition, we updated Drbox.py for adapting the evaluation codes, so please update this python file to the latest version before calling evaluation.py.
mindmad
commented
5 years ago @ZongxuPan , @Anquanzhi I am very greatful for your help.
for what you said @Anquanzhi. I run the command and it shows me the following : 2019-07-18 08:37:55.770606: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. 2019-07-18 08:37:55.770655: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. 2019-07-18 08:37:55.770681: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. 2019-07-18 08:37:55.770695: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. 2019-07-18 08:37:55.770707: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations. [name: "/cpu:0" device_type: "CPU" memory_limit: 268435456 locality { }
from that, I think that my TensorFlow is not GPU-calculated.
mindmad
commented
5 years ago @Anquanzhi after I search the net. I notice I have not installed TensorFlow-gpu=1.2.1 and know it works 👍
Hello @ZongxuPan
I am interested in implementing your model. I would appreciate if you could provide any help or guide to how to implement it
I am waiting for your response