Can a Compute Capability 3.0 card run Tensorflow 1.8 tensorflow-gpu runtime?
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Going through the install tutorial for Linux (Tensorflow 1.8) and I'm not sure how to interpret the phrase:
GPU card with CUDA Compute Capability 3.0 or higher for building from source and 3.5 or higher for our binaries. See NVIDIA documentation for a list of supported GPU cards.
I have an NVIDIA GTX 770 which has Compute Capability 3.0, does that mean I can build the tensorflow-gpu binary but I can't use it to run/execute tensorflow-gpu? (current CUDA version for TF is 9.0 + cuDNN 7.x)
tensorflow cuda gpu nvidia
asked May 14 at 23:37
schrepfler
3016
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up vote
0
down vote
favorite
Going through the install tutorial for Linux (Tensorflow 1.8) and I'm not sure how to interpret the phrase:
GPU card with CUDA Compute Capability 3.0 or higher for building from source and 3.5 or higher for our binaries. See NVIDIA documentation for a list of supported GPU cards.
I have an NVIDIA GTX 770 which has Compute Capability 3.0, does that mean I can build the tensorflow-gpu binary but I can't use it to run/execute tensorflow-gpu? (current CUDA version for TF is 9.0 + cuDNN 7.x)
tensorflow cuda gpu nvidia
asked May 14 at 23:37
schrepfler
3016
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Going through the install tutorial for Linux (Tensorflow 1.8) and I'm not sure how to interpret the phrase:
GPU card with CUDA Compute Capability 3.0 or higher for building from source and 3.5 or higher for our binaries. See NVIDIA documentation for a list of supported GPU cards.
I have an NVIDIA GTX 770 which has Compute Capability 3.0, does that mean I can build the tensorflow-gpu binary but I can't use it to run/execute tensorflow-gpu? (current CUDA version for TF is 9.0 + cuDNN 7.x)
tensorflow cuda gpu nvidia
asked May 14 at 23:37
schrepfler
3016
Going through the install tutorial for Linux (Tensorflow 1.8) and I'm not sure how to interpret the phrase:
GPU card with CUDA Compute Capability 3.0 or higher for building from source and 3.5 or higher for our binaries. See NVIDIA documentation for a list of supported GPU cards.
I have an NVIDIA GTX 770 which has Compute Capability 3.0, does that mean I can build the tensorflow-gpu binary but I can't use it to run/execute tensorflow-gpu? (current CUDA version for TF is 9.0 + cuDNN 7.x)
tensorflow cuda gpu nvidia
tensorflow cuda gpu nvidia
asked May 14 at 23:37
schrepfler
3016
asked May 14 at 23:37
schrepfler
3016
asked May 14 at 23:37
schrepfler
3016
asked May 14 at 23:37
schrepfler
3016
asked May 14 at 23:37
schrepfler
3016
3016
add a comment |
add a comment |
1 Answer
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No, it means that if you have a compute capability 3.0 card, you have to build and install tensorflow-gpu from the sources, you can't use the pre-built binaries to install with pip.
It will have full functionality once installed.
This is because there are a lot of different code variants for different compute capability cards, so to keep the binary to a reasonable size, only a selected range of compute capabilities are supported in the pre-built binary.
answered May 14 at 23:42
Peter Szoldan
3,2461719
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
No, it means that if you have a compute capability 3.0 card, you have to build and install tensorflow-gpu from the sources, you can't use the pre-built binaries to install with pip.
It will have full functionality once installed.
This is because there are a lot of different code variants for different compute capability cards, so to keep the binary to a reasonable size, only a selected range of compute capabilities are supported in the pre-built binary.
answered May 14 at 23:42
Peter Szoldan
3,2461719
add a comment |
up vote
1
down vote
accepted
No, it means that if you have a compute capability 3.0 card, you have to build and install tensorflow-gpu from the sources, you can't use the pre-built binaries to install with pip.
It will have full functionality once installed.
This is because there are a lot of different code variants for different compute capability cards, so to keep the binary to a reasonable size, only a selected range of compute capabilities are supported in the pre-built binary.
answered May 14 at 23:42
Peter Szoldan
3,2461719
add a comment |
up vote
1
down vote
accepted
up vote
1
down vote
accepted
No, it means that if you have a compute capability 3.0 card, you have to build and install tensorflow-gpu from the sources, you can't use the pre-built binaries to install with pip.
It will have full functionality once installed.
This is because there are a lot of different code variants for different compute capability cards, so to keep the binary to a reasonable size, only a selected range of compute capabilities are supported in the pre-built binary.
answered May 14 at 23:42
Peter Szoldan
3,2461719
No, it means that if you have a compute capability 3.0 card, you have to build and install tensorflow-gpu from the sources, you can't use the pre-built binaries to install with pip.
It will have full functionality once installed.
This is because there are a lot of different code variants for different compute capability cards, so to keep the binary to a reasonable size, only a selected range of compute capabilities are supported in the pre-built binary.
answered May 14 at 23:42
Peter Szoldan
3,2461719
answered May 14 at 23:42
Peter Szoldan
3,2461719
answered May 14 at 23:42
Peter Szoldan
3,2461719
answered May 14 at 23:42
Peter Szoldan
3,2461719
3,2461719
add a comment |
add a comment |
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