VAE_Cartoon_Tensorflow Training about learnopencv HOT 4 OPEN

--------------------------------------------------------------------------- UnboundLocalError Traceback (most recent call last) Cell In[36], line 1 ----> 1 train(normalized_ds, 30) Cell In[34], line 8, in train(dataset, epochs) 6 for image_batch in dataset: 7 i += 1 ----> 8 loss = train_step(image_batch) 9 #loss_.append(loss) 10 11 #print("Loss",np.mean(loss_)) 12 seed = image_batch[:25] File C:\Anaconda3\envs\tensorflow29\lib\site-packages\tensorflow\python\util\traceback_utils.py:153, in filter_traceback.<locals>.error_handler(*args, **kwargs) 151 except Exception as e: 152 filtered_tb = _process_traceback_frames(e.__traceback__) --> 153 raise e.with_traceback(filtered_tb) from None 154 finally: 155 del filtered_tb File ~\AppData\Local\Temp\__autograph_generated_file3_wyyupw.py:14, in outer_factory.<locals>.inner_factory.<locals>.tf__train_step(images) 12 latent = ag__.converted_call(ag__.ld(final), ([ag__.ld(mean), ag__.ld(log_var)],), None, fscope) 13 generated_images = ag__.converted_call(ag__.ld(dec), (ag__.ld(latent),), dict(training=True), fscope) ---> 14 loss = ag__.converted_call(ag__.ld(vae_loss), (ag__.ld(images), ag__.ld(generated_images), ag__.ld(mean), ag__.ld(log_var)), None, fscope) 15 gradients_of_enc = ag__.converted_call(ag__.ld(encoder).gradient, (ag__.ld(loss), ag__.ld(enc).trainable_variables), None, fscope) 16 gradients_of_dec = ag__.converted_call(ag__.ld(decoder).gradient, (ag__.ld(loss), ag__.ld(dec).trainable_variables), None, fscope) File ~\AppData\Local\Temp\__autograph_generated_filem_niztwx.py:11, in outer_factory.<locals>.inner_factory.<locals>.tf__vae_loss(y_true, y_pred, mean, var) 9 retval_ = ag__.UndefinedReturnValue() 10 r_loss = ag__.converted_call(ag__.ld(mse_loss), (ag__.ld(y_true), ag__.ld(y_pred)), None, fscope) ---> 11 kl_loss = ag__.converted_call(ag__.ld(kl_loss), (ag__.ld(mean), ag__.ld(log_var)), None, fscope) 12 try: 13 do_return = True UnboundLocalError: in user code: File "C:\Users\rpowell\AppData\Local\Temp\ipykernel_793660\144731484.py", line 11, in train_step * loss = vae_loss(images, generated_images, mean, log_var) File "C:\Users\rpowell\AppData\Local\Temp\ipykernel_793660\2804652454.py", line 11, in vae_loss * kl_loss = kl_loss(mean, log_var) UnboundLocalError: local variable 'kl_loss' referenced before assignment I did run the following block before training: def mse_loss(y_true, y_pred): r_loss = K.mean(K.square(y_true - y_pred), axis = [1,2,3]) return 1000 * r_loss def kl_loss(mean, log_var): kl_loss = -0.5 * K.sum(1 + log_var - K.square(mean) - K.exp(log_var), axis = 1) return kl_loss def vae_loss(y_true, y_pred, mean, var): r_loss = mse_loss(y_true, y_pred) kl_loss = kl_loss(mean, log_var) return r_loss + kl_loss and I could comment out the k1_loss in the vae_loss function to get it to run. So I am thinking something is wrong with the function, but I am admittingly niave in this space. Reid T. Powell, PhD | Research Assistant Professor Center for Translational Cancer Research, Institute of Biosciences & Technology | Texas A&M University 2121 W. Holcombe Blvd. Rm 911 | Houston, TX 77030 ph: 713.677.7474 | fax: 713.677.7474 | ***@***.******@***.***>

________________________________ From: Rohit Dhankar ***@***.***> Sent: Sunday, May 21, 2023 9:38 PM To: spmallick/learnopencv ***@***.***> Cc: Powell, Reid T ***@***.***>; Author ***@***.***> Subject: Re: [spmallick/learnopencv] VAE_Cartoon_Tensorflow Training (Issue #822) Apparently the loss variable is being accessed in code before it's getting initialised — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread. Message ID: <spmallick/learnopencv/issues/822/1556432382@ github. com> ZjQcmQRYFpfptBannerStart This Message Is From an External Sender This message came from outside your organization. ZjQcmQRYFpfptBannerEnd Apparently the loss variable is being accessed in code before it's getting initialised — Reply to this email directly, view it on GitHub<https://urldefense.com/v3/__https://github.com/spmallick/learnopencv/issues/822*issuecomment-1556432382__;Iw!!KwNVnqRv!EiPJ-fvYlMTWVLsNlFk_XrS_NgJVV46eqVWGKt5ofG47Rnb_P6pxHIGx_dbkcpGZAswWxaMpG1X8-5C-hIMMyG07MA$>, or unsubscribe<https://urldefense.com/v3/__https://github.com/notifications/unsubscribe-auth/APOLEEYEAQHMLVYHRYDDPE3XHLGSJANCNFSM6AAAAAAYJUXIPA__;!!KwNVnqRv!EiPJ-fvYlMTWVLsNlFk_XrS_NgJVV46eqVWGKt5ofG47Rnb_P6pxHIGx_dbkcpGZAswWxaMpG1X8-5C-hIMowv-lUQ$>. You are receiving this because you authored the thread.Message ID: ***@***.***>