UnimplementedError: Cast string to float is not supported [[node metrics/accuracy/Cast (defined at C:UsersemittedLSTM.py:152) ]] [Op:__inference_distributed_ function _4954348] Function call stack: distributed_ function I have on idea how to revolve this error! Does anyone know what might be the reason? and How to debug this error?, Function call stack: distributed_ function and Fused conv implementation does not support grouped convolutions for now. I am using slightly modified code that I used for another CNN that worked on the previous one so I’m a bit lost as to why this error is occurring now. The images I am using are grey scale heat map images similar to this. Code:, 5/30/2019 · [[sequential/time_distributed_1/lstm/StatefulPartitionedCall]] [Op:__inference_distributed_ function _675292] Function call stack: distributed_ function -> distributed_ function -> distributed_ function, 9/8/2019 · This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above. [[node sequential/conv2d/Conv2D (defined at Whatsapp_Organyzer_B.py:52) ]] [Op:__inference_distributed_ function _705] Function call stack: distributed_ function ??, Function call stack: distributed_ function In addition: Warning message: Error in py_ call _impl(callable, dots$args, dots$keywords) : InternalError: Blas GEMM launch failed : a.shape=(500, 4), b.shape=(4, 8), m=500, n=8, k=4 [[{{node sequential/gru/while/body/_1/MatMul_1}}]] [Op:__inference_distributed_ function _2490] Function call stack: distributed_ function, 10/25/2019 · [[Reshape_11/_38]] [Op:__inference_distributed_ function _6315] Function call stack: distributed_ function . The problem seems to be related to the GPU, if I executed tensorflow witth CPU only, it does not crash.
This new value of ESP held by EBP becomes the reference base to local variables that are needed to retrieve the stack section allocated for the new function call . As mentioned before, a stack grows downward to lower memory address. This is the way the stack grows on many computers including the Intel, Motorola, SPARC and MIPS processors.
distributed_ function Firstly, I got this error when installed tensorflow-gpu from binary via pip. Then, I thought that against CUDA-10.1 I have to manually build tensorflow via bazel but after successful built – I got the same error .
10/6/2019 · W1006 15:34:53.847770 4649092544 distribute_coordinator.py:825] `eval_fn` is not passed in. The `worker_fn` will be used if an evaluator task exists in the cluster. W1006 15:34:53.857074 4649092544 distribute_coordinator.py:829] `eval_strategy` is not passed in. No distribution strategy will be used for evaluation.
