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feat: allow explicitly disabling CUDA step #1588

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merged 3 commits into from
Mar 6, 2025
Merged

feat: allow explicitly disabling CUDA step #1588

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7b0cdd1
feat: allow explicitly disabling CUDA step
polvalente Mar 5, 2025
2d42cc3
chore: changes due to code rewview
polvalente Mar 6, 2025
f6eb9e4
Merge branch 'main' into pv-fix/exla-cuda-checks
polvalente Mar 6, 2025
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16 changes: 9 additions & 7 deletions exla/Makefile
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Original file line number Diff line number Diff line change
Expand Up @@ -36,27 +36,29 @@ else
CFLAGS += -O3
endif

NVCC := $(CXX)
NVCCFLAGS = $(CFLAGS)
LDFLAGS = -L$(XLA_EXTENSION_LIB) -lxla_extension -shared -fvisibility=hidden

ifeq ($(CROSSCOMPILE),)
# Interrogate the system for local compilation
UNAME_S = $(shell uname -s)

ifdef ($(EXLA_CPU_ONLY),)
$(info EXLA_CPU_ONLY is not set, checking for nvcc availability)
NVCC_RESULT := $(shell which nvcc 2> /dev/null)
NVCC_TEST := $(notdir $(NVCC_RESULT))

ifeq ($(NVCC_TEST),nvcc)
NVCC := nvcc
NVCCFLAGS += -DCUDA_ENABLED
ifeq ($(NVCC_TEST),nvcc)
NVCC := nvcc
NVCCFLAGS += -DCUDA_ENABLED
endif
else
NVCC := $(CXX)
NVCCFLAGS = $(CFLAGS)
$(info EXLA_CPU_ONLY is set, skipping nvcc step)
endif
else
# Determine settings for cross-compiled builds like for Nerves
UNAME_S = Linux
NVCC := $(CXX)
NVCCFLAGS = $(CFLAGS)
endif

ifeq ($(UNAME_S), Darwin)
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2 changes: 2 additions & 0 deletions exla/README.md
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Expand Up @@ -43,6 +43,8 @@ EXLA relies on the [XLA](https://github.com/elixir-nx/xla) package to provide th
* Incompatible protocol buffer versions
* Error message: "this file was generated by an older version of protoc which is incompatible with your Protocol Buffer headers".
* If you have `protoc` installed on your machine, it may conflict with the `protoc` precompiled inside XLA. Uninstall, unlink, or remove `protoc` from your path to continue.
* Missing CUDA symbols
* In some cases, you might be compiling a CPU-only version of `:xla` in an environment that has CUDA available. For these cases, you can set the `EXLA_CPU_ONLY` environment variable to any value to disable custom CUDA functionality in EXLA.

### Usage with Nerves

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