Comments (2)
anhaichuan
commented on August 27, 2024
My GPU is RTX2070, and I have the same problem as you, did you solved it?
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qaz8788817
commented on August 27, 2024
Hi, i meet some problems when compiling the rendering layer.
InternalError (see above for traceback): Blas xGEMMBatched launch failed : a.shape=[16,4,3], b.shape=[16,53215,4], m=3, n=53215, k=4, batch_size=16 [[Node: MatMul = BatchMatMul[T=DT_FLOAT, adj_x=true, adj_y=true, _device="/job:localhost/replica:0/task:0/device:GPU:0"](concat, concat_1)]] [[Node: Reshape_43/_147 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_1301_Reshape_43", tensor_type=DT_INT32, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]I use tensorflow1.8, cuda9.0, g++4.8. Thanks in advance.
Hi. I've met same problem. Could you share how you solve this problem? Thank you.
from nonlinear_face_3dmm.
Related Issues (20)
- G_loss_frecon = tf.zeros(1)??? HOT 11
- Missing perceptual loss (G_loss_frecon = tf.zeros(1)) HOT 5
- InternalError: Failed to create session. HOT 1
- About requirements HOT 5
- Demo (Test) code HOT 8
- NameError: global name 'load_FaceAlignment_vt2pixel' is not defined
- Error in running rendering_example.py : undefined symbol: _ZN10tensorflow12OpDefBuilder5InputESs HOT 4
- Training config. (Training set size?)
- After training your model, the Rendered Image has no texture on it! HOT 7
- Pretrained model HOT 12
- How to get 3D mesh from your model's output? HOT 15
- Rendering Layer Not Differentiable. Cannot train with wild images. HOT 3
- Does G_loss_frecon need to modify it when using VGG-Face?
- Has anyone solved the code in the model_non_linear_3DMM file for solving the perceptual loss G_loss_frecon?
- Complie the render layer the error HOT 3
- The file ‘good_images.dat’ was not found
- About the l2,1 loss
- What is the version of tf?
- Generate 3DMM parameters.
- Cannot run rendering_example.py
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