Cannot convert a symbolic Tensor
Posted: Mon Feb 08, 2021 12:53 am
Hello,
I have encountered an issue while training.
The console show :
CRITICAL Error caught! Exiting...
ERROR Caught exception in thread: '_training_0'
ERROR Got Exception on main handler:
CRITICAL An unexpected crash has occurred.
Here are the logs :
Code: Select all
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000345_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000353_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000354_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000246_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000269_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000077_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000245_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000327_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000405_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000254_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000314_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000340_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Generating mask. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000274_0.png'
02/08/2021 01:34:36 MainProcess _run_0 aligned_face extract_face DEBUG _extract_face called without a loaded image. Returning empty face.
02/08/2021 01:34:36 MainProcess _run_1 training_data _expand_partials DEBUG Generating mask. side: 'a', filename: 'C:\Users\pasqu\Downloads\Faceswap\Trump\Trump_000035_0.png'
02/08/2021 01:34:36 MainProcess _run_1 aligned_face extract_face DEBUG _extract_face called without a loaded image. Returning empty face.
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Generating mask. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000171_0.png'
02/08/2021 01:34:36 MainProcess _run_0 aligned_face extract_face DEBUG _extract_face called without a loaded image. Returning empty face.
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Generating mask. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000309_0.png'
02/08/2021 01:34:36 MainProcess _run_0 aligned_face extract_face DEBUG _extract_face called without a loaded image. Returning empty face.
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Generating mask. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000228_0.png'
02/08/2021 01:34:36 MainProcess _run_0 aligned_face extract_face DEBUG _extract_face called without a loaded image. Returning empty face.
02/08/2021 01:34:36 MainProcess _run_1 training_data _expand_partials DEBUG Mask already generated. side: 'a', filename: 'C:\Users\pasqu\Downloads\Faceswap\Trump\Trump_000315_0.png'
02/08/2021 01:34:36 MainProcess _run_1 training_data _expand_partials DEBUG Mask already generated. side: 'a', filename: 'C:\Users\pasqu\Downloads\Faceswap\Trump\Trump_000021_0.png'
02/08/2021 01:34:36 MainProcess _run_1 training_data _expand_partials DEBUG Mask already generated. side: 'a', filename: 'C:\Users\pasqu\Downloads\Faceswap\Trump\Trump_000250_0.png'
02/08/2021 01:34:36 MainProcess _run_1 training_data _expand_partials DEBUG Mask already generated. side: 'a', filename: 'C:\Users\pasqu\Downloads\Faceswap\Trump\Trump_000203_0.png'
02/08/2021 01:34:36 MainProcess _run_1 training_data _expand_partials DEBUG Mask already generated. side: 'a', filename: 'C:\Users\pasqu\Downloads\Faceswap\Trump\Trump_000092_0.png'
02/08/2021 01:34:36 MainProcess _run_1 training_data _expand_partials DEBUG Mask already generated. side: 'a', filename: 'C:\Users\pasqu\Downloads\Faceswap\Trump\Trump_000075_0.png'
02/08/2021 01:34:36 MainProcess _run_1 training_data _expand_partials DEBUG Mask already generated. side: 'a', filename: 'C:\Users\pasqu\Downloads\Faceswap\Trump\Trump_000236_0.png'
02/08/2021 01:34:36 MainProcess _run_1 training_data _expand_partials DEBUG Mask already generated. side: 'a', filename: 'C:\Users\pasqu\Downloads\Faceswap\Trump\Trump_000020_0.png'
02/08/2021 01:34:36 MainProcess _run_1 training_data _expand_partials DEBUG Mask already generated. side: 'a', filename: 'C:\Users\pasqu\Downloads\Faceswap\Trump\Trump_000176_0.png'
02/08/2021 01:34:36 MainProcess _run_1 training_data _expand_partials DEBUG Mask already generated. side: 'a', filename: 'C:\Users\pasqu\Downloads\Faceswap\Trump\Trump_000248_0.png'
02/08/2021 01:34:36 MainProcess _run_1 training_data _expand_partials DEBUG Mask already generated. side: 'a', filename: 'C:\Users\pasqu\Downloads\Faceswap\Trump\Trump_000219_0.png'
02/08/2021 01:34:36 MainProcess _run_1 training_data _expand_partials DEBUG Mask already generated. side: 'a', filename: 'C:\Users\pasqu\Downloads\Faceswap\Trump\Trump_000168_0.png'
02/08/2021 01:34:36 MainProcess _run_1 training_data _expand_partials DEBUG Generating mask. side: 'a', filename: 'C:\Users\pasqu\Downloads\Faceswap\Trump\Trump_000080_0.png'
02/08/2021 01:34:36 MainProcess _run_1 aligned_face extract_face DEBUG _extract_face called without a loaded image. Returning empty face.
02/08/2021 01:34:36 MainProcess _run_1 training_data _expand_partials DEBUG Generating mask. side: 'a', filename: 'C:\Users\pasqu\Downloads\Faceswap\Trump\Trump_000036_0.png'
02/08/2021 01:34:36 MainProcess _run_1 aligned_face extract_face DEBUG _extract_face called without a loaded image. Returning empty face.
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000345_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000353_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000354_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000246_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000269_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000077_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000245_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000327_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000405_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000254_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000314_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Mask already generated. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000340_0.png'
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Generating mask. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000274_0.png'
02/08/2021 01:34:36 MainProcess _run_0 aligned_face extract_face DEBUG _extract_face called without a loaded image. Returning empty face.
02/08/2021 01:34:36 MainProcess _run_1 training_data _expand_partials DEBUG Generating mask. side: 'a', filename: 'C:\Users\pasqu\Downloads\Faceswap\Trump\Trump_000097_0.png'
02/08/2021 01:34:36 MainProcess _run_1 aligned_face extract_face DEBUG _extract_face called without a loaded image. Returning empty face.
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Generating mask. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000171_0.png'
02/08/2021 01:34:36 MainProcess _run_0 aligned_face extract_face DEBUG _extract_face called without a loaded image. Returning empty face.
02/08/2021 01:34:36 MainProcess _run_1 training_data _expand_partials DEBUG Generating mask. side: 'a', filename: 'C:\Users\pasqu\Downloads\Faceswap\Trump\Trump_000035_0.png'
02/08/2021 01:34:36 MainProcess _run_1 aligned_face extract_face DEBUG _extract_face called without a loaded image. Returning empty face.
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Generating mask. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000309_0.png'
02/08/2021 01:34:36 MainProcess _run_0 aligned_face extract_face DEBUG _extract_face called without a loaded image. Returning empty face.
02/08/2021 01:34:36 MainProcess _run_0 training_data _expand_partials DEBUG Generating mask. side: 'b', filename: 'C:\Users\pasqu\Downloads\Faceswap\Theo\Theo_000228_0.png'
02/08/2021 01:34:36 MainProcess _run_0 aligned_face extract_face DEBUG _extract_face called without a loaded image. Returning empty face.
02/08/2021 01:34:36 MainProcess _training_0 ag_logging warn DEBUG AutoGraph could not transform <bound method Logger.isEnabledFor of <FaceswapLogger lib.model.losses_tf (DEBUG)>> and will run it as-is.\nPlease report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.\nCause: module 'gast' has no attribute 'Index'\nTo silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert
02/08/2021 01:34:36 MainProcess _training_0 ag_logging warn DEBUG AutoGraph could not transform <bound method Logger.findCaller of <FaceswapLogger lib.model.losses_tf (DEBUG)>> and will run it as-is.\nPlease report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.\nCause: module 'gast' has no attribute 'Index'\nTo silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert
02/08/2021 01:34:36 MainProcess _training_0 ag_logging warn DEBUG AutoGraph could not transform <bound method Logger.makeRecord of <FaceswapLogger lib.model.losses_tf (DEBUG)>> and will run it as-is.\nPlease report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.\nCause: module 'gast' has no attribute 'Index'\nTo silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert
02/08/2021 01:34:37 MainProcess _training_0 ag_logging warn DEBUG AutoGraph could not transform <bound method FaceswapFormatter.format of <lib.logger.FaceswapFormatter object at 0x000001C06A8B7F70>> and will run it as-is.\nPlease report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.\nCause: module 'gast' has no attribute 'Index'\nTo silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert
02/08/2021 01:34:36 MainProcess _training_0 api converted_call DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001C003231BB0>, weight: 1.0, mask_channel: 3)
02/08/2021 01:34:37 MainProcess _training_0 ag_logging warn DEBUG AutoGraph could not transform <bound method LossWrapper._apply_mask of <class 'lib.model.losses_tf.LossWrapper'>> and will run it as-is.\nPlease report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.\nCause: module 'gast' has no attribute 'Index'\nTo silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert
02/08/2021 01:34:37 MainProcess _training_0 losses_tf _apply_mask DEBUG Applying mask from channel 3
02/08/2021 01:34:37 MainProcess _training_0 ag_logging warn DEBUG AutoGraph could not transform <bound method DSSIMObjective.call of <lib.model.losses_tf.DSSIMObjective object at 0x000001C07417CD60>> and will run it as-is.\nPlease report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.\nCause: module 'gast' has no attribute 'Index'\nTo silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert
02/08/2021 01:34:37 MainProcess _training_0 tmp6oilvrk1 if_body DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001C00321E220>, weight: 1.0, mask_channel: 3)
02/08/2021 01:34:37 MainProcess _training_0 losses_tf _apply_mask DEBUG Applying mask from channel 3
02/08/2021 01:34:37 MainProcess _training_0 tmp6oilvrk1 if_body DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001C00321EF40>, weight: 3.0, mask_channel: 4)
02/08/2021 01:34:37 MainProcess _training_0 losses_tf _apply_mask DEBUG Applying mask from channel 4
02/08/2021 01:34:37 MainProcess _training_0 tmp6oilvrk1 if_body DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001C07412C310>, weight: 1.0, mask_channel: 1)
02/08/2021 01:34:37 MainProcess _training_0 losses_tf _apply_mask DEBUG Applying mask from channel 1
02/08/2021 01:34:37 MainProcess _training_0 tmp6oilvrk1 if_body DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001C07412CDF0>, weight: 2.0, mask_channel: 5)
02/08/2021 01:34:37 MainProcess _training_0 losses_tf _apply_mask DEBUG Applying mask from channel 5
02/08/2021 01:34:37 MainProcess _training_0 tmp6oilvrk1 if_body DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001C00321D760>, weight: 1.0, mask_channel: 2)
02/08/2021 01:34:37 MainProcess _training_0 losses_tf _apply_mask DEBUG Applying mask from channel 2
02/08/2021 01:34:37 MainProcess _training_0 tmp6oilvrk1 if_body DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001C00321DDF0>, weight: 1.0, mask_channel: 3)
02/08/2021 01:34:37 MainProcess _training_0 losses_tf _apply_mask DEBUG Applying mask from channel 3
02/08/2021 01:34:38 MainProcess _training_0 tmp6oilvrk1 if_body DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001C003240760>, weight: 1.0, mask_channel: 3)
02/08/2021 01:34:38 MainProcess _training_0 losses_tf _apply_mask DEBUG Applying mask from channel 3
02/08/2021 01:34:38 MainProcess _training_0 tmp6oilvrk1 if_body DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001C003240BB0>, weight: 3.0, mask_channel: 4)
02/08/2021 01:34:38 MainProcess _training_0 losses_tf _apply_mask DEBUG Applying mask from channel 4
02/08/2021 01:34:38 MainProcess _training_0 tmp6oilvrk1 if_body DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001C003215340>, weight: 1.0, mask_channel: 1)
02/08/2021 01:34:38 MainProcess _training_0 losses_tf _apply_mask DEBUG Applying mask from channel 1
02/08/2021 01:34:38 MainProcess _training_0 tmp6oilvrk1 if_body DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001C003215E50>, weight: 2.0, mask_channel: 5)
02/08/2021 01:34:38 MainProcess _training_0 losses_tf _apply_mask DEBUG Applying mask from channel 5
02/08/2021 01:34:38 MainProcess _training_0 tmp6oilvrk1 if_body DEBUG Processing loss function: (func: <tensorflow.python.keras.engine.compile_utils.LossesContainer object at 0x000001C00322D790>, weight: 1.0, mask_channel: 2)
02/08/2021 01:34:38 MainProcess _training_0 losses_tf _apply_mask DEBUG Applying mask from channel 2
02/08/2021 01:34:38 MainProcess _training_0 multithreading run DEBUG Error in thread (_training_0): in user code:\n\n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:806 train_function *\n return step_function(self, iterator)\n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:796 step_function **\n outputs = model.distribute_strategy.run(run_step, args=(data,))\n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:1211 run\n return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)\n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2585 call_for_each_replica\n return self._call_for_each_replica(fn, args, kwargs)\n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2945 _call_for_each_replica\n return fn(*args, **kwargs)\n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:789 run_step **\n outputs = model.train_step(data)\n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:756 train_step\n _minimize(self.distribute_strategy, tape, self.optimizer, loss,\n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:2722 _minimize\n gradients = tape.gradient(loss, trainable_variables)\n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\backprop.py:1067 gradient\n flat_grad = imperative_grad.imperative_grad(\n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\imperative_grad.py:71 imperative_grad\n return pywrap_tfe.TFE_Py_TapeGradient(\n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\backprop.py:162 _gradient_function\n return grad_fn(mock_op, *out_grads)\n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\ops\array_grad.py:1011 _ExtractImagePatchesGrad\n idx_map, array_ops.ones([output_indices_num], dtype=grad.dtype), sp_shape)\n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\util\dispatch.py:201 wrapper\n return target(*args, **kwargs)\n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\ops\array_ops.py:3041 ones\n output = _constant_if_small(one, shape, dtype, name)\n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\ops\array_ops.py:2732 _constant_if_small\n if np.prod(shape) < 1000:\n <__array_function__ internals>:5 prod\n \n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\numpy\core\fromnumeric.py:3030 prod\n return _wrapreduction(a, np.multiply, 'prod', axis, dtype, out,\n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\numpy\core\fromnumeric.py:87 _wrapreduction\n return ufunc.reduce(obj, axis, dtype, out, **passkwargs)\n C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\framework\ops.py:845 __array__\n raise NotImplementedError(\n\n NotImplementedError: Cannot convert a symbolic Tensor (gradient_tape/LossWrapper/DSSIMObjective_2/mul_5:0) to a numpy array. This error may indicate that you're trying to pass a Tensor to a NumPy call, which is not supported\n
02/08/2021 01:34:39 MainProcess MainThread train _monitor DEBUG Thread error detected
02/08/2021 01:34:39 MainProcess MainThread train _monitor DEBUG Closed Monitor
02/08/2021 01:34:39 MainProcess MainThread train _end_thread DEBUG Ending Training thread
02/08/2021 01:34:39 MainProcess MainThread train _end_thread CRITICAL Error caught! Exiting...
02/08/2021 01:34:39 MainProcess MainThread multithreading join DEBUG Joining Threads: '_training'
02/08/2021 01:34:39 MainProcess MainThread multithreading join DEBUG Joining Thread: '_training_0'
02/08/2021 01:34:39 MainProcess MainThread multithreading join ERROR Caught exception in thread: '_training_0'
Traceback (most recent call last):
File "C:\Users\pasqu\faceswap\lib\cli\launcher.py", line 182, in execute_script
process.process()
File "C:\Users\pasqu\faceswap\scripts\train.py", line 170, in process
self._end_thread(thread, err)
File "C:\Users\pasqu\faceswap\scripts\train.py", line 210, in _end_thread
thread.join()
File "C:\Users\pasqu\faceswap\lib\multithreading.py", line 121, in join
raise thread.err[1].with_traceback(thread.err[2])
File "C:\Users\pasqu\faceswap\lib\multithreading.py", line 37, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\pasqu\faceswap\scripts\train.py", line 232, in _training
raise err
File "C:\Users\pasqu\faceswap\scripts\train.py", line 222, in _training
self._run_training_cycle(model, trainer)
File "C:\Users\pasqu\faceswap\scripts\train.py", line 302, in _run_training_cycle
trainer.train_one_step(viewer, timelapse)
File "C:\Users\pasqu\faceswap\plugins\train\trainer\_base.py", line 238, in train_one_step
loss = self._model.model.train_on_batch(model_inputs, y=model_targets)
File "C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1695, in train_on_batch
logs = train_function(iterator)
File "C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 780, in __call__
result = self._call(*args, **kwds)
File "C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 823, in _call
self._initialize(args, kwds, add_initializers_to=initializers)
File "C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 696, in _initialize
self._stateful_fn._get_concrete_function_internal_garbage_collected( # pylint: disable=protected-access
File "C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 2855, in _get_concrete_function_internal_garbage_collected
graph_function, _, _ = self._maybe_define_function(args, kwargs)
File "C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 3213, in _maybe_define_function
graph_function = self._create_graph_function(args, kwargs)
File "C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\function.py", line 3065, in _create_graph_function
func_graph_module.func_graph_from_py_func(
File "C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\framework\func_graph.py", line 986, in func_graph_from_py_func
func_outputs = python_func(*func_args, **func_kwargs)
File "C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\def_function.py", line 600, in wrapped_fn
return weak_wrapped_fn().__wrapped__(*args, **kwds)
File "C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\framework\func_graph.py", line 973, in wrapper
raise e.ag_error_metadata.to_exception(e)
NotImplementedError: in user code:
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:806 train_function *
return step_function(self, iterator)
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:796 step_function **
outputs = model.distribute_strategy.run(run_step, args=(data,))
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:1211 run
return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2585 call_for_each_replica
return self._call_for_each_replica(fn, args, kwargs)
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\distribute\distribute_lib.py:2945 _call_for_each_replica
return fn(*args, **kwargs)
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:789 run_step **
outputs = model.train_step(data)
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:756 train_step
_minimize(self.distribute_strategy, tape, self.optimizer, loss,
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\keras\engine\training.py:2722 _minimize
gradients = tape.gradient(loss, trainable_variables)
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\backprop.py:1067 gradient
flat_grad = imperative_grad.imperative_grad(
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\imperative_grad.py:71 imperative_grad
return pywrap_tfe.TFE_Py_TapeGradient(
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\eager\backprop.py:162 _gradient_function
return grad_fn(mock_op, *out_grads)
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\ops\array_grad.py:1011 _ExtractImagePatchesGrad
idx_map, array_ops.ones([output_indices_num], dtype=grad.dtype), sp_shape)
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\util\dispatch.py:201 wrapper
return target(*args, **kwargs)
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\ops\array_ops.py:3041 ones
output = _constant_if_small(one, shape, dtype, name)
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\ops\array_ops.py:2732 _constant_if_small
if np.prod(shape) < 1000:
<__array_function__ internals>:5 prod
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\numpy\core\fromnumeric.py:3030 prod
return _wrapreduction(a, np.multiply, 'prod', axis, dtype, out,
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\numpy\core\fromnumeric.py:87 _wrapreduction
return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
C:\Users\pasqu\anaconda3\envs\faceswap\lib\site-packages\tensorflow\python\framework\ops.py:845 __array__
raise NotImplementedError(
NotImplementedError: Cannot convert a symbolic Tensor (gradient_tape/LossWrapper/DSSIMObjective_2/mul_5:0) to a numpy array. This error may indicate that you're trying to pass a Tensor to a NumPy call, which is not supported
============ System Information ============
encoding: cp1252
git_branch: master
git_commits: 6de2b31 bugfix: plugins.train - AMD Inference model compilation
gpu_cuda: No global version found. Check Conda packages for Conda Cuda
gpu_cudnn: No global version found. Check Conda packages for Conda cuDNN
gpu_devices:
gpu_devices_active:
gpu_driver: No Nvidia driver found
gpu_vram:
os_machine: AMD64
os_platform: Windows-10-10.0.19041-SP0
os_release: 10
py_command: C:\Users\pasqu\faceswap\faceswap.py train -A C:/Users/pasqu/Downloads/Faceswap/Trump -ala C:/Users/pasqu/Downloads/Faceswap/Trump_alignments.fsa -B C:/Users/pasqu/Downloads/Faceswap/Theo -alb C:/Users/pasqu/Downloads/Faceswap/Theo_alignments.fsa -m C:/Users/pasqu/Downloads/Faceswap/ModelAB -t original -bs 16 -it 1000000 -s 250 -ss 25000 -ps 100 -L INFO -gui
py_conda_version: conda 4.9.2
py_implementation: CPython
py_version: 3.8.6
py_virtual_env: True
sys_cores: 8
sys_processor: Intel64 Family 6 Model 142 Stepping 12, GenuineIntel
sys_ram: Total: 16125MB, Available: 7482MB, Used: 8643MB, Free: 7482MB
=============== Pip Packages ===============
absl-py @ file:///D:/bld/absl-py_1606235688386/work
aiohttp @ file:///D:/bld/aiohttp_1610358740361/work
astor @ file:///home/conda/feedstock_root/build_artifacts/astor_1593610464257/work
astunparse @ file:///home/conda/feedstock_root/build_artifacts/astunparse_1610696312422/work
async-timeout==3.0.1
attrs @ file:///home/conda/feedstock_root/build_artifacts/attrs_1605083924122/work
blinker==1.4
brotlipy==0.7.0
cachetools @ file:///home/conda/feedstock_root/build_artifacts/cachetools_1611555765219/work
certifi==2020.12.5
cffi @ file:///D:/bld/cffi_1606601395031/work
chardet @ file:///D:/bld/chardet_1602255508636/work
click==7.1.2
cryptography @ file:///D:/bld/cryptography_1610338909973/work
cycler==0.10.0
fastcluster==1.1.26
ffmpy==0.2.3
gast @ file:///home/conda/feedstock_root/build_artifacts/gast_1596839682936/work
google-auth @ file:///home/conda/feedstock_root/build_artifacts/google-auth_1608136875028/work
google-auth-oauthlib==0.4.1
google-pasta==0.2.0
grpcio @ file:///D:/bld/grpcio_1612023691773/work
h5py @ file:///D:/bld/h5py_1602551986735/work
idna @ file:///home/conda/feedstock_root/build_artifacts/idna_1593328102638/work
imageio @ file:///home/conda/feedstock_root/build_artifacts/imageio_1594044661732/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1609799311556/work
importlib-metadata @ file:///D:/bld/importlib-metadata_1610355403747/work
joblib @ file:///home/conda/feedstock_root/build_artifacts/joblib_1607956439537/work
Keras-Applications==1.0.8
Keras-Preprocessing @ file:///home/conda/feedstock_root/build_artifacts/keras-preprocessing_1610713559828/work
kiwisolver @ file:///D:/bld/kiwisolver_1610099948875/work
Markdown @ file:///home/conda/feedstock_root/build_artifacts/markdown_1603668500820/work
matplotlib @ file:///D:/bld/matplotlib-base_1594091905736/work
multidict @ file:///D:/bld/multidict_1610319170773/work
numpy @ file:///D:/bld/numpy_1612192921641/work
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
oauthlib==3.0.1
olefile @ file:///home/conda/feedstock_root/build_artifacts/olefile_1602866521163/work
opencv-python==4.5.1.48
opt-einsum==0+untagged.61.gd905544.dirty
Pillow @ file:///D:/bld/pillow_1610407616132/work
protobuf==3.14.0
psutil @ file:///D:/bld/psutil_1610127325750/work
pyasn1==0.4.8
pyasn1-modules==0.2.7
pycparser @ file:///home/conda/feedstock_root/build_artifacts/pycparser_1593275161868/work
PyJWT @ file:///home/conda/feedstock_root/build_artifacts/pyjwt_1610910308735/work
pyOpenSSL @ file:///home/conda/feedstock_root/build_artifacts/pyopenssl_1608055815057/work
pyparsing==2.4.7
PyQt5==5.12.3
PyQt5-sip==4.19.18
PyQtChart==5.12
PyQtWebEngine==5.12.1
pyreadline @ file:///D:/bld/pyreadline_1611175364000/work
PySocks @ file:///D:/bld/pysocks_1610291742246/work
python-dateutil==2.8.1
pywin32==300
requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1608156231189/work
requests-oauthlib @ file:///home/conda/feedstock_root/build_artifacts/requests-oauthlib_1595492159598/work
rsa @ file:///home/conda/feedstock_root/build_artifacts/rsa_1610280765105/work
scikit-learn @ file:///D:/bld/scikit-learn_1611079981849/work
scipy @ file:///C:/bld/scipy_1609458016927/work
six @ file:///home/conda/feedstock_root/build_artifacts/six_1590081179328/work
tensorboard @ file:///home/conda/feedstock_root/build_artifacts/tensorboard_1610699261066/work/tensorboard-2.4.1-py3-none-any.whl
tensorboard-plugin-wit @ file:///home/conda/feedstock_root/build_artifacts/tensorboard-plugin-wit_1611075653546/work/tensorboard_plugin_wit-1.8.0-py3-none-any.whl
tensorflow==2.3.0
tensorflow-estimator @ file:///home/conda/feedstock_root/build_artifacts/tensorflow-estimator_1610655765755/work/tensorflow_estimator-2.4.0-py2.py3-none-any.whl
termcolor==1.1.0
threadpoolctl @ file:///tmp/tmp79xdzxkt/threadpoolctl-2.1.0-py3-none-any.whl
tornado @ file:///D:/bld/tornado_1610094858390/work
tqdm @ file:///home/conda/feedstock_root/build_artifacts/tqdm_1610419111160/work
typing-extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1602702424206/work
urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1611695416663/work
Werkzeug==1.0.1
win-inet-pton @ file:///D:/bld/win_inet_pton_1610147566231/work
wincertstore==0.2
wrapt @ file:///D:/bld/wrapt_1610095100080/work
yarl @ file:///D:/bld/yarl_1610354399983/work
zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1603668650351/work
============== Conda Packages ==============
# packages in environment at C:\Users\pasqu\anaconda3\envs\faceswap:
#
# Name Version Build Channel
_tflow_select 2.3.0 eigen
absl-py 0.11.0 py38haa244fe_0 conda-forge
aiohttp 3.7.3 py38h294d835_1 conda-forge
astor 0.8.1 pyh9f0ad1d_0 conda-forge
astunparse 1.6.3 pyhd8ed1ab_0 conda-forge
async-timeout 3.0.1 py_1000 conda-forge
attrs 20.3.0 pyhd3deb0d_0 conda-forge
blinker 1.4 py_1 conda-forge
brotlipy 0.7.0 py38h294d835_1001 conda-forge
ca-certificates 2020.12.5 h5b45459_0 conda-forge
cachetools 4.2.1 pyhd8ed1ab_0 conda-forge
certifi 2020.12.5 py38haa244fe_1 conda-forge
cffi 1.14.4 py38hd8c33c5_1 conda-forge
chardet 3.0.4 py38h9bdc248_1008 conda-forge
click 7.1.2 pyh9f0ad1d_0 conda-forge
cryptography 3.3.1 py38hd8c33c5_1 conda-forge
cycler 0.10.0 py_2 conda-forge
fastcluster 1.1.26 py38h251f6bf_2 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
ffmpy 0.2.3 pypi_0 pypi
freetype 2.10.4 h546665d_1 conda-forge
gast 0.4.0 pyh9f0ad1d_0 conda-forge
google-auth 1.24.0 pyhd3deb0d_0 conda-forge
google-auth-oauthlib 0.4.1 py_2 conda-forge
google-pasta 0.2.0 pyh8c360ce_0 conda-forge
grpcio 1.35.0 py38he5377a8_0 conda-forge
h5py 2.10.0 nompi_py38h6053941_105 conda-forge
hdf5 1.10.6 nompi_h5268f04_1114 conda-forge
icu 68.1 h0e60522_0 conda-forge
idna 2.10 pyh9f0ad1d_0 conda-forge
imageio 2.9.0 py_0 conda-forge
imageio-ffmpeg 0.4.3 pyhd8ed1ab_0 conda-forge
importlib-metadata 3.4.0 py38haa244fe_0 conda-forge
intel-openmp 2020.3 h57928b3_311 conda-forge
joblib 1.0.0 pyhd8ed1ab_0 conda-forge
jpeg 9d h8ffe710_0 conda-forge
keras-applications 1.0.8 py_1 conda-forge
keras-preprocessing 1.1.2 pyhd8ed1ab_0 conda-forge
kiwisolver 1.3.1 py38hbd9d945_1 conda-forge
krb5 1.17.2 hbae68bd_0 conda-forge
libblas 3.9.0 8_mkl conda-forge
libcblas 3.9.0 8_mkl conda-forge
libclang 11.0.1 default_h5c34c98_1 conda-forge
libcurl 7.71.1 h4b64cdc_8 conda-forge
liblapack 3.9.0 8_mkl conda-forge
libpng 1.6.37 h1d00b33_2 conda-forge
libprotobuf 3.14.0 h7755175_0 conda-forge
libssh2 1.9.0 hb06d900_5 conda-forge
libtiff 4.2.0 hc10be44_0 conda-forge
lz4-c 1.9.3 h8ffe710_0 conda-forge
m2w64-gcc-libgfortran 5.3.0 6 conda-forge
m2w64-gcc-libs 5.3.0 7 conda-forge
m2w64-gcc-libs-core 5.3.0 7 conda-forge
m2w64-gmp 6.1.0 2 conda-forge
m2w64-libwinpthread-git 5.0.0.4634.697f757 2 conda-forge
markdown 3.3.3 pyh9f0ad1d_0 conda-forge
matplotlib 3.2.2 1 conda-forge
matplotlib-base 3.2.2 py38hbe5506b_1 conda-forge
mkl 2020.4 hb70f87d_311 conda-forge
msys2-conda-epoch 20160418 1 conda-forge
multidict 5.1.0 py38h294d835_1 conda-forge
numpy 1.20.0 py38h0cc643e_0 conda-forge
nvidia-ml-py3 7.352.1 pypi_0 pypi
oauthlib 3.0.1 py_0 conda-forge
olefile 0.46 pyh9f0ad1d_1 conda-forge
opencv-python 4.5.1.48 pypi_0 pypi
openssl 1.1.1i h8ffe710_0 conda-forge
opt_einsum 3.3.0 py_0 conda-forge
pathlib 1.0.1 py38haa244fe_4 conda-forge
pillow 8.1.0 py38hf7ce48b_1 conda-forge
pip 21.0.1 pyhd8ed1ab_0 conda-forge
protobuf 3.14.0 py38h885f38d_1 conda-forge
psutil 5.8.0 py38h294d835_1 conda-forge
pyasn1 0.4.8 py_0 conda-forge
pyasn1-modules 0.2.7 py_0 conda-forge
pycparser 2.20 pyh9f0ad1d_2 conda-forge
pyjwt 2.0.1 pyhd8ed1ab_0 conda-forge
pyopenssl 20.0.1 pyhd8ed1ab_0 conda-forge
pyparsing 2.4.7 pyh9f0ad1d_0 conda-forge
pyqt 5.12.3 py38haa244fe_7 conda-forge
pyqt-impl 5.12.3 py38h885f38d_7 conda-forge
pyqt5-sip 4.19.18 py38h885f38d_7 conda-forge
pyqtchart 5.12 py38h885f38d_7 conda-forge
pyqtwebengine 5.12.1 py38h885f38d_7 conda-forge
pyreadline 2.1 py38haa244fe_1003 conda-forge
pysocks 1.7.1 py38haa244fe_3 conda-forge
python 3.8.6 h7840368_5_cpython conda-forge
python-dateutil 2.8.1 py_0 conda-forge
python_abi 3.8 1_cp38 conda-forge
pywin32 300 py38h294d835_0 conda-forge
qt 5.12.9 h5909a2a_3 conda-forge
requests 2.25.1 pyhd3deb0d_0 conda-forge
requests-oauthlib 1.3.0 pyh9f0ad1d_0 conda-forge
rsa 4.7 pyhd3deb0d_0 conda-forge
scikit-learn 0.24.1 py38ha09990b_0 conda-forge
scipy 1.6.0 py38h5f893b4_0 conda-forge
setuptools 49.6.0 py38haa244fe_3 conda-forge
six 1.15.0 pyh9f0ad1d_0 conda-forge
sqlite 3.34.0 h8ffe710_0 conda-forge
tensorboard 2.4.1 pyhd8ed1ab_0 conda-forge
tensorboard-plugin-wit 1.8.0 pyh44b312d_0 conda-forge
tensorflow 2.3.0 mkl_py38h8c0d9a2_0
tensorflow-base 2.3.0 eigen_py38h75a453f_0
tensorflow-estimator 2.4.0 pyh9656e83_0 conda-forge
termcolor 1.1.0 py_2 conda-forge
threadpoolctl 2.1.0 pyh5ca1d4c_0 conda-forge
tk 8.6.10 h8ffe710_1 conda-forge
tornado 6.1 py38h294d835_1 conda-forge
tqdm 4.56.0 pyhd8ed1ab_0 conda-forge
typing-extensions 3.7.4.3 0 conda-forge
typing_extensions 3.7.4.3 py_0 conda-forge
urllib3 1.26.3 pyhd8ed1ab_0 conda-forge
vc 14.2 hb210afc_2 conda-forge
vs2015_runtime 14.28.29325 h5e1d092_0 conda-forge
werkzeug 1.0.1 pyh9f0ad1d_0 conda-forge
wheel 0.36.2 pyhd3deb0d_0 conda-forge
win_inet_pton 1.1.0 py38haa244fe_2 conda-forge
wincertstore 0.2 py38haa244fe_1006 conda-forge
wrapt 1.12.1 py38h294d835_3 conda-forge
xz 5.2.5 h62dcd97_1 conda-forge
yarl 1.6.3 py38h294d835_1 conda-forge
zipp 3.4.0 py_0 conda-forge
zlib 1.2.11 h62dcd97_1010 conda-forge
zstd 1.4.8 h4e2f164_1 conda-forge
================= Configs ==================
--------- .faceswap ---------
backend: cpu
--------- convert.ini ---------
[color.color_transfer]
clip: True
preserve_paper: True
[color.manual_balance]
colorspace: HSV
balance_1: 0.0
balance_2: 0.0
balance_3: 0.0
contrast: 0.0
brightness: 0.0
[color.match_hist]
threshold: 99.0
[mask.box_blend]
type: gaussian
distance: 11.0
radius: 5.0
passes: 1
[mask.mask_blend]
type: normalized
kernel_size: 3
passes: 4
threshold: 4
erosion: 0.0
[scaling.sharpen]
method: none
amount: 150
radius: 0.3
threshold: 5.0
[writer.ffmpeg]
container: mp4
codec: libx264
crf: 23
preset: medium
tune: none
profile: auto
level: auto
skip_mux: False
[writer.gif]
fps: 25
loop: 0
palettesize: 256
subrectangles: False
[writer.opencv]
format: png
draw_transparent: False
jpg_quality: 75
png_compress_level: 3
[writer.pillow]
format: png
draw_transparent: False
optimize: False
gif_interlace: True
jpg_quality: 75
png_compress_level: 3
tif_compression: tiff_deflate
--------- extract.ini ---------
[global]
allow_growth: False
[align.fan]
batch-size: 12
[detect.cv2_dnn]
confidence: 50
[detect.mtcnn]
minsize: 20
threshold_1: 0.6
threshold_2: 0.7
threshold_3: 0.7
scalefactor: 0.709
batch-size: 8
[detect.s3fd]
confidence: 70
batch-size: 4
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 2
--------- gui.ini ---------
[global]
fullscreen: False
tab: extract
options_panel_width: 30
console_panel_height: 20
icon_size: 14
font: default
font_size: 9
autosave_last_session: prompt
timeout: 120
auto_load_model_stats: True
--------- train.ini ---------
[global]
centering: face
coverage: 68.75
icnr_init: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
reflect_padding: False
allow_growth: False
mixed_precision: False
convert_batchsize: 16
[global.loss]
loss_function: ssim
mask_loss_function: mse
l2_reg_term: 100
eye_multiplier: 3
mouth_multiplier: 2
penalized_mask_loss: True
mask_type: extended
mask_blur_kernel: 3
mask_threshold: 4
learn_mask: False
[model.dfaker]
output_size: 128
[model.dfl_h128]
lowmem: False
[model.dfl_sae]
input_size: 128
clipnorm: True
architecture: df
autoencoder_dims: 0
encoder_dims: 42
decoder_dims: 21
multiscale_decoder: False
[model.dlight]
features: best
details: good
output_size: 256
[model.original]
lowmem: False
[model.realface]
input_size: 64
output_size: 128
dense_nodes: 1536
complexity_encoder: 128
complexity_decoder: 512
[model.unbalanced]
input_size: 128
lowmem: False
clipnorm: True
nodes: 1024
complexity_encoder: 128
complexity_decoder_a: 384
complexity_decoder_b: 512
[model.villain]
lowmem: False
[trainer.original]
preview_images: 14
zoom_amount: 5
rotation_range: 10
shift_range: 5
flip_chance: 50
disable_warp: False
color_lightness: 30
color_ab: 8
color_clahe_chance: 50
color_clahe_max_size: 4
Thank you for your help.