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https://github.com/clearlinux/graphene.git
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94caf7987e
This commit is a result of debugging a rare race condition during build
of some of our examples, which resulted in "enclave EINIT failed -
Invalid measurement" error.
It turns out that Make in versions that doesn't support the `&:`
operator ("Rules with Grouped Targets") silently ignores it and calls
the recipe for each target separately, without even a warning.
Signed-off-by: Michał Kowalczyk <mkow@invisiblethingslab.com>
81 lines
2.2 KiB
Makefile
81 lines
2.2 KiB
Makefile
# Build PyTorch as follows:
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#
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# - make -- create non-SGX no-debug-log manifest
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# - make SGX=1 -- create SGX no-debug-log manifest
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# - make SGX=1 DEBUG=1 -- create SGX debug-log manifest
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#
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# PyTorch and the pre-trained model must be installed on the system.
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# See README for details.
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#
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# Use `make clean` to remove Graphene-generated files.
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GRAPHENEDIR ?= ../..
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SGX_SIGNER_KEY ?= $(GRAPHENEDIR)/Pal/src/host/Linux-SGX/signer/enclave-key.pem
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PYTHON3 ?= /usr/bin/python3
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ifeq ($(DEBUG),1)
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GRAPHENE_LOG_LEVEL = debug
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else
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GRAPHENE_LOG_LEVEL = error
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endif
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DISTRIB_ID ?= $(shell lsb_release --short --id)
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DISTRIB_RELEASE ?= $(shell lsb_release --short --release)
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ifeq ($(SGX), 1)
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ifneq ($(DISTRIB_ID),Ubuntu)
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$(error This example requires Ubuntu when building for SGX.)
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endif
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endif
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UBUNTU_VERSION = $(DISTRIB_ID)$(DISTRIB_RELEASE)
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.PHONY: all
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all: pytorch.manifest | pal_loader
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ifeq ($(SGX),1)
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all: pytorch.manifest.sgx pytorch.sig pytorch.token
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endif
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include ../../Scripts/Makefile.configs
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# .manifest.template contains stanzas for both Ubuntu 16 and 18. The last rule selectively enables
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# those lines based on the Ubuntu version detected.
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%.manifest: %.manifest.template
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sed -e 's|$$(GRAPHENEDIR)|'"$(GRAPHENEDIR)"'|g' \
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-e 's|$$(GRAPHENE_LOG_LEVEL)|'"$(GRAPHENE_LOG_LEVEL)"'|g' \
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-e 's|$$(HOME)|'"$(HOME)"'|g' \
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-e 's|$$(PYTHON3)|'"$(PYTHON3)"'|g' \
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-e 's|# '"$(UBUNTU_VERSION)"' ||g' \
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-e 's|$$(ARCH_LIBDIR)|'"$(ARCH_LIBDIR)"'|g' \
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$< > $@
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# Make on Ubuntu <= 20.04 doesn't support "Rules with Grouped Targets" (`&:`),
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# we need to hack around.
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pytorch.sig pytorch.manifest.sgx: sgx_outputs
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.INTERMEDIATE: sgx_outputs
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sgx_outputs: pytorch.manifest
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$(GRAPHENEDIR)/Pal/src/host/Linux-SGX/signer/pal-sgx-sign \
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-libpal $(GRAPHENEDIR)/Runtime/libpal-Linux-SGX.so \
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-key $(SGX_SIGNER_KEY) \
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-output pytorch.manifest.sgx \
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-manifest pytorch.manifest
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%.token: %.sig
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$(GRAPHENEDIR)/Pal/src/host/Linux-SGX/signer/pal-sgx-get-token -output $@ -sig $<
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pal_loader:
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ln -s $(GRAPHENEDIR)/Runtime/pal_loader $@
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.PHONY: download_model
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download_model:
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$(PYTHON3) download-pretrained-model.py
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.PHONY: clean
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clean:
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$(RM) *.token *.sig *.manifest.sgx *.manifest pal_loader
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.PHONY: distclean
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distclean: clean
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$(RM) *.pt result.txt
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