Comments (8)
Maybe I can help to fix it. At which stage are you stuck? Please add error messages if that's the case.
from ofxtensorflow2.
I made a universal sentence encoder example: https://github.com/Jonathhhan/ofxTensorFlow2/tree/universal-sentence-encoder/example_universal_sentence_encoder
It uses this model: https://tfhub.dev/google/universal-sentence-encoder/4
This one is working, too: https://tfhub.dev/google/universal-sentence-encoder-large/5
from ofxtensorflow2.
@bytosaur thanks. Actually I am stuck at an very early stage, it crashes when I try to run the model (I expected to get the tensor of the string):
if (!model2.load("model2")) {
std::exit(EXIT_FAILURE);
}
auto s1 = cppflow::tensor(std::string("hello"));
auto s2 = cppflow::tensor(std::string("tree"));
auto s3 = cppflow::tensor(std::string("house"));
auto s = cppflow::concat(0, { s1, s2, s3 });
std::cout << cppflow::concat(0, { s1, s2, s3 });
auto output2 = model2.runModel(s);
I have to admit that my approach is very naive, and maybe you can point to a tutorial for understanding tensorflow/word2vec basics better?
What I want to achieve: Get the vector of one or several words that are part of the trained model and compare it with another word or sentence for similarity. Or, in other words: Compare a lot of subtitles and find the most similar one (which works well with my ofxWord2Vec example - here is an online version: https://montageautomat3.handmadeproductions.de/).
from ofxtensorflow2.
hey @Jonathhhan,
could you please provide the error message as well? or is it just a seg fault? also which line throws the error?
I have never worked with word embeddings before, but i think your understanding is correct. The text gets transformed into an n-dimensional vector which can be used for comparison. Usually these embeddings are used as a first step in language models to have a latent representation of the text.
from ofxtensorflow2.
@bytosaur it crashes at auto output2 = model2.runModel(s);
with Debug Error! - abort() has been called
same with model2.printOperations();
but it prints the operations, which are far less than in the example model:
[notice ] ofxTensorFlow2: ====== Model Operations with Shapes ======
[notice ] ofxTensorFlow2: hash_table with shape: []
[notice ] ofxTensorFlow2: Variable with shape: []
[notice ] ofxTensorFlow2: Variable/Read/ReadVariableOp with shape: [1009375, 250]
[notice ] ofxTensorFlow2: asset_path_initializer with shape: []
[notice ] ofxTensorFlow2: Variable_1 with shape: []
[notice ] ofxTensorFlow2: Variable_1/IsInitialized/VarIsInitializedOp with shape: []
from ofxtensorflow2.
If I load the universal sentence encoder model https://tfhub.dev/google/universal-sentence-encoder/4 instead, I get a lot of information with model.printOperations();
and it does not crash (but if I call runModel(input)
it crashes, too):
[notice ] ofxTensorFlow2: ====== Model Operations with Shapes ======
[notice ] ofxTensorFlow2: unused_resource with shape: []
[notice ] ofxTensorFlow2: unused_resource_1 with shape: []
[notice ] ofxTensorFlow2: save_counter with shape: []
[notice ] ofxTensorFlow2: save_counter/Read/ReadVariableOp with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_0 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_0/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_1 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_1/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_2 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_2/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_3 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_3/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_4 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_4/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_5 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_5/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_6 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_6/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_7 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_7/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_8 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_8/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_9 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_9/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_10 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_10/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_11 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_11/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_12 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_12/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_13 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_13/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_14 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_14/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_15 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_15/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_16 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_16/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_17 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_17/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_18 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_18/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_19 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_19/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_20 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_20/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_21 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_21/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_22 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_22/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_23 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_23/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_24 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_24/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_25 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_25/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_26 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_26/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_27 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_27/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_28 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_28/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: Embeddings/sharded_29 with shape: []
[notice ] ofxTensorFlow2: Embeddings/sharded_29/Read/ReadVariableOp with shape: [26667, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_0 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_0/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_1 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_1/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_2 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_2/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_3 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_3/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_4 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_4/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_5 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_5/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_6 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_6/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_7 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_7/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_8 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_8/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_9 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_9/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_10 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_10/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_11 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_11/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_12 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_12/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_13 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_13/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_14 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_14/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_15 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_15/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_16 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_16/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_17 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_17/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_18 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_18/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_19 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_19/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_20 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_20/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_21 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_21/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_22 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_22/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_23 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_23/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_24 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_24/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_25 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_25/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_26 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_26/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_27 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_27/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_28 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_28/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_29 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_0/dense/kernel/part_29/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_0 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_0/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_1 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_1/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_2 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_2/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_3 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_3/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_4 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_4/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_5 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_5/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_6 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_6/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_7 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_7/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_8 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_8/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_9 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_9/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_10 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_10/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_11 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_11/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_12 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_12/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_13 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_13/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_14 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_14/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_15 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_15/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_16 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_16/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_17 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_17/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_18 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_18/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_19 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_19/Read/ReadVariableOp with shape: [11, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_20 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_20/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_21 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_21/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_22 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_22/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_23 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_23/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_24 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_24/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_25 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_25/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_26 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_26/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_27 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_27/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_28 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_28/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_29 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_1/dense/kernel/part_29/Read/ReadVariableOp with shape: [10, 320]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_0 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_0/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_1 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_1/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_2 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_2/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_3 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_3/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_4 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_4/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_5 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_5/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_6 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_6/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_7 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_7/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_8 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_8/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_9 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_9/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_10 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_10/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_11 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_11/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_12 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_12/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_13 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_13/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_14 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_14/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_15 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_15/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_16 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_16/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_17 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_17/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_18 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_18/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_19 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_19/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_20 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_20/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_21 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_21/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_22 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_22/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_23 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_23/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_24 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_24/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_25 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_25/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_26 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_26/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_27 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_27/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_28 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_28/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_29 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_2/dense/kernel/part_29/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_0 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_0/Read/ReadVariableOp with shape: [18, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_1 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_1/Read/ReadVariableOp with shape: [18, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_2 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_2/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_3 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_3/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_4 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_4/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_5 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_5/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_6 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_6/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_7 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_7/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_8 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_8/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_9 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_9/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_10 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_10/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_11 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_11/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_12 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_12/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_13 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_13/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_14 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_14/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_15 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_15/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_16 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_16/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_17 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_17/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_18 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_18/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_19 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_19/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_20 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_20/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_21 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_21/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_22 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_22/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_23 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_23/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_24 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_24/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_25 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_25/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_26 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_26/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_27 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_27/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_28 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_28/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_29 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/dense/kernel/part_29/Read/ReadVariableOp with shape: [17, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_0 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_0/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_1 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_1/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_2 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_2/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_3 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_3/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_4 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_4/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_5 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_5/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_6 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_6/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_7 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_7/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_8 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_8/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_9 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_9/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_10 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_10/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_11 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_11/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_12 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_12/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_13 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_13/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_14 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_14/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_15 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_15/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_16 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_16/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_17 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_17/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_18 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_18/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_19 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_19/Read/ReadVariableOp with shape: [11, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_20 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_20/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_21 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_21/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_22 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_22/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_23 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_23/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_24 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_24/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_25 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_25/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_26 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_26/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_27 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_27/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_28 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_28/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_29 with shape: []
[notice ] ofxTensorFlow2: EncoderDNN/DNN/ResidualHidden_3/AdjustDepth/projection/kernel/part_29/Read/ReadVariableOp with shape: [10, 512]
[notice ] ofxTensorFlow2: StatefulPartitionedCall with shape: []
[notice ] ofxTensorFlow2: Const with shape: []
[notice ] ofxTensorFlow2: serving_default_inputs with shape: [-1]
[notice ] ofxTensorFlow2: StatefulPartitionedCall_1 with shape: [-1, 512]
[notice ] ofxTensorFlow2: saver_filename with shape: []
[notice ] ofxTensorFlow2: StatefulPartitionedCall_2 with shape: []
[notice ] ofxTensorFlow2: StatefulPartitionedCall_3 with shape: []
[notice ] ofxTensorFlow2: ============ End ==============
from ofxtensorflow2.
Actually there is a warning if I run the universal sentence encoder model (happens with other text models too): Failed to place the graph without changing the devices of some resources. Some of the operations (that had to be colocated with resource generating operations) are not supported on the resources' devices.
2022-06-15 01:54:24.035736: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-06-15 01:54:24.341625: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 12287 MB memory: -> device: 0, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:01:00.0, compute capability: 8.6
2022-06-15 01:54:24.342986: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 12287 MB memory: -> device: 0, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:01:00.0, compute capability: 8.6
2022-06-15 01:54:24.355258: I tensorflow/cc/saved_model/reader.cc:43] Reading SavedModel from: data\model3
2022-06-15 01:54:24.398104: I tensorflow/cc/saved_model/reader.cc:81] Reading meta graph with tags { serve }
2022-06-15 01:54:24.398212: I tensorflow/cc/saved_model/reader.cc:122] Reading SavedModel debug info (if present) from: data\model3
2022-06-15 01:54:24.398526: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 12287 MB memory: -> device: 0, name: NVIDIA GeForce RTX 3090, pci bus id: 0000:01:00.0, compute capability: 8.6
2022-06-15 01:54:24.549797: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled
2022-06-15 01:54:24.609551: I tensorflow/cc/saved_model/loader.cc:228] Restoring SavedModel bundle.
2022-06-15 01:54:29.123234: I tensorflow/cc/saved_model/loader.cc:212] Running initialization op on SavedModel bundle at path: data\model3
2022-06-15 01:54:30.281562: W tensorflow/core/common_runtime/colocation_graph.cc:1200] Failed to place the graph without changing the devices of some resources. Some of the operations (that had to be colocated with resource generating operations) are not supported on the resources' devices. Current candidate devices are [
/job:localhost/replica:0/task:0/device:CPU:0].
See below for details of this colocation group:
Colocation Debug Info:
Colocation group had the following types and supported devices:
Root Member(assigned_device_name_index_=-1 requested_device_name_='/job:localhost/replica:0/task:0/device:GPU:0' assigned_device_name_='' resource_device_name_='/job:localhost/replica:0/task:0/device:GPU:0' supported_device_types_=[CPU] possible_devices_=[]
HashTableV2: CPU
LookupTableImportV2: CPU
Colocation members, user-requested devices, and framework assigned devices, if any:
StatefulPartitionedCall/StatefulPartitionedCall/text_preprocessor/hash_table (HashTableV2) /job:localhost/replica:0/task:0/device:GPU:0
StatefulPartitionedCall/StatefulPartitionedCall/text_preprocessor/key_value_init/LookupTableImportV2 (LookupTableImportV2) /job:localhost/replica:0/task:0/device:GPU:0
2022-06-15 01:54:30.281832: W tensorflow/core/common_runtime/colocation_graph.cc:1200] Failed to place the graph without changing the devices of some resources. Some of the operations (that had to be colocated with resource generating operations) are not supported on the resources' devices. Current candidate devices are [
/job:localhost/replica:0/task:0/device:CPU:0].
See below for details of this colocation group:
Colocation Debug Info:
Colocation group had the following types and supported devices:
Root Member(assigned_device_name_index_=-1 requested_device_name_='/job:localhost/replica:0/task:0/device:GPU:0' assigned_device_name_='' resource_device_name_='/job:localhost/replica:0/task:0/device:GPU:0' supported_device_types_=[CPU] possible_devices_=[]
HashTableV2: CPU
LookupTableImportV2: CPU
Colocation members, user-requested devices, and framework assigned devices, if any:
StatefulPartitionedCall/StatefulPartitionedCall/text_preprocessor_1/hash_table (HashTableV2) /job:localhost/replica:0/task:0/device:GPU:0
StatefulPartitionedCall/StatefulPartitionedCall/text_preprocessor_1/key_value_init/LookupTableImportV2 (LookupTableImportV2) /job:localhost/replica:0/task:0/device:GPU:0
2022-06-15 01:54:31.547040: I tensorflow/cc/saved_model/loader.cc:301] SavedModel load for tags { serve }; Status: success: OK. Took 7191761 microseconds.
This is basically what I would like with ofxTensoflow2: https://www.youtube.com/watch?v=YjRhIpfz5ms
from ofxtensorflow2.
I updated the example, its a basic version of my "Montageautomat": https://github.com/Jonathhhan/ofxTensorFlow2/tree/universal-sentence-encoder/example_universal_sentence_encoder_video_2
from ofxtensorflow2.
Related Issues (20)
- "Undefined symbols for architecture arm64: "_TF_NewSessionOptions", referenced from:" on macOS ? HOT 6
- Do you have plans to implement 3d skeleton detection via BlazePose? HOT 4
- Error compiling: No member named 'exchange' in namespace 'std' HOT 14
- arbitrary-image-stylization-v1-256 HOT 13
- trained model different format? HOT 5
- GPU training issue HOT 1
- Training with larger image size - pix2pix HOT 2
- example_video_and_image_colorization HOT 7
- Yolo v4 example HOT 12
- Chatbot example :)
- music generation example HOT 6
- Stable diffusion or other text-to-image networks? HOT 3
- Compilation issues for M1 / arm64 HOT 3
- configure_xcode.sh script breaks Xcode projects HOT 1
- git submodule update not working on macOS HOT 12
- error: Library not loaded HOT 5
- error: Signing Identity: “-” HOT 2
- error: Library not loaded: "@rpath/libtensorflow.2.dylib' HOT 4
- download_example_models.sh does not work
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from ofxtensorflow2.