Compile on CPU
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Compile on CPU¶
We recommend that you:
First use the
csrun_cpu
Bash script to compile your model successfully on a support cluster CPU node, andOnly then run the model on the CS system using the
csrun_wse
Bash script.
See also
See The csrun_cpu Script for detailed documentation on how to use this Bash script.
Benefits¶
Running your model using csrun_cpu
first on a support cluster CPU node has several benefits:
- Validate only
You can run in
validate_only
mode that runs a fast, light-weight verification. See Validate only.- Compile
After a successful
validate_only
run, you can run full compilation withcompile_only
mode. See compile-only.- Using compiled artifacts
You can optimize for your specific CS system early on, even while running
compile_only
on the support cluster CPU. This enables you to use these compiled artifacts later when you run this network on the CS system and save time in your workflow. You can accomplish this by running thecompile_only
mode with--cs_ip
flag and passing in the IP address of the CS system. This will ensure thatcsrun_cpu
optimizes the compile for your specific CS system. See using-compiled-artifacts.Note
To run your model with
validate_only
orcompile_only
option, you do not need access to the CS system. However, if you plan to use the artifacts of this compiled directory for training on the CS system, then you must use--cs_ip
flag with thecsrun_cpu
and pass the IP address of the CS system.
Using csrun_cpu
¶
You can compile your neural network on a CPU without running it on the CS system. Note that to compile on a CPU, you must execute your compile commands within the Cerebras Singularity container. The CGC (Cerebras Graph Compiler) software contains the csrun_cpu
script that launches a given user command within the Cerebras Singularity container. For example:
csrun_cpu bash
will launch a Bash shell inside the Cerebras container, and
csrun_cpu python
will launch a Python interpreter inside the Cerebras container.
Use the csrun_cpu
script to execute a run script like run.py
with validate_only
or compile_only
options on a CPU.