138 lines
4.9 KiB
Ruby
138 lines
4.9 KiB
Ruby
class Libtensorflow < Formula
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desc "C interface for Google's OS library for Machine Intelligence"
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homepage "https://www.tensorflow.org/"
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url "https://github.com/tensorflow/tensorflow/archive/refs/tags/v2.7.0.tar.gz"
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sha256 "bb124905c7fdacd81e7c842b287c169bbf377d29c74c9dacc04f96c9793747bb"
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license "Apache-2.0"
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bottle do
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sha256 cellar: :any, big_sur: "b583cc31728cb7dc71f9208059eb31a5e6555f8b6000e80fcfca9229720b9801"
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sha256 cellar: :any, catalina: "9c2f522b11cfba7188e8b9f1ffd49c5853c748c0ce98af0132226c097cb754ba"
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end
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depends_on "bazel" => :build
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depends_on "numpy" => :build
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depends_on "python@3.9" => :build
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resource "test-model" do
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url "https://github.com/tensorflow/models/raw/v1.13.0/samples/languages/java/training/model/graph.pb"
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sha256 "147fab50ddc945972818516418942157de5e7053d4b67e7fca0b0ada16733ecb"
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end
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def install
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# Allow tensorflow to use current version of bazel
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(buildpath / ".bazelversion").atomic_write Formula["bazel"].version
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ENV["PYTHON_BIN_PATH"] = Formula["python@3.9"].opt_bin/"python3"
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ENV["CC_OPT_FLAGS"] = "-march=native"
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ENV["TF_IGNORE_MAX_BAZEL_VERSION"] = "1"
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ENV["TF_NEED_JEMALLOC"] = "1"
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ENV["TF_NEED_GCP"] = "0"
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ENV["TF_NEED_HDFS"] = "0"
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ENV["TF_ENABLE_XLA"] = "0"
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ENV["USE_DEFAULT_PYTHON_LIB_PATH"] = "1"
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ENV["TF_NEED_OPENCL"] = "0"
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ENV["TF_NEED_CUDA"] = "0"
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ENV["TF_NEED_MKL"] = "0"
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ENV["TF_NEED_VERBS"] = "0"
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ENV["TF_NEED_MPI"] = "0"
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ENV["TF_NEED_S3"] = "1"
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ENV["TF_NEED_GDR"] = "0"
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ENV["TF_NEED_KAFKA"] = "0"
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ENV["TF_NEED_OPENCL_SYCL"] = "0"
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ENV["TF_NEED_ROCM"] = "0"
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ENV["TF_DOWNLOAD_CLANG"] = "0"
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ENV["TF_SET_ANDROID_WORKSPACE"] = "0"
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ENV["TF_CONFIGURE_IOS"] = "0"
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system "./configure"
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bazel_args =%W[
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--jobs=#{ENV.make_jobs}
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--compilation_mode=opt
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--copt=-march=native
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]
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targets = %w[
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tensorflow:libtensorflow.so
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tensorflow:install_headers
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tensorflow/tools/benchmark:benchmark_model
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tensorflow/tools/graph_transforms:summarize_graph
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tensorflow/tools/graph_transforms:transform_graph
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]
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system "bazel", "build", *bazel_args, *targets
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lib.install Dir["bazel-bin/tensorflow/*.so*", "bazel-bin/tensorflow/*.dylib*"]
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include.install "bazel-bin/tensorflow/include/tensorflow"
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bin.install %w[
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bazel-bin/tensorflow/tools/benchmark/benchmark_model
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bazel-bin/tensorflow/tools/graph_transforms/summarize_graph
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bazel-bin/tensorflow/tools/graph_transforms/transform_graph
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]
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(lib/"pkgconfig/tensorflow.pc").write <<~EOS
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Name: tensorflow
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Description: Tensorflow library
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Version: #{version}
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Libs: -L#{lib} -ltensorflow
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Cflags: -I#{include}
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EOS
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end
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test do
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(testpath/"test.c").write <<~EOS
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#include <stdio.h>
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#include <tensorflow/c/c_api.h>
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int main() {
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printf("%s", TF_Version());
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}
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EOS
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system ENV.cc, "-L#{lib}", "-ltensorflow", "-o", "test_tf", "test.c"
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assert_equal version, shell_output("./test_tf")
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resource("test-model").stage(testpath)
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summarize_graph_output = shell_output("#{bin}/summarize_graph --in_graph=#{testpath}/graph.pb 2>&1")
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variables_match = /Found \d+ variables:.+$/.match(summarize_graph_output)
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refute_nil variables_match, "Unexpected stdout from summarize_graph for graph.pb (no found variables)"
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variables_names = variables_match[0].scan(/name=([^,]+)/).flatten.sort
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transform_command = %W[
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#{bin}/transform_graph
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--in_graph=#{testpath}/graph.pb
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--out_graph=#{testpath}/graph-new.pb
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--inputs=n/a
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--outputs=n/a
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--transforms="obfuscate_names"
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2>&1
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].join(" ")
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shell_output(transform_command)
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assert_predicate testpath/"graph-new.pb", :exist?, "transform_graph did not create an output graph"
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new_summarize_graph_output = shell_output("#{bin}/summarize_graph --in_graph=#{testpath}/graph-new.pb 2>&1")
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new_variables_match = /Found \d+ variables:.+$/.match(new_summarize_graph_output)
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refute_nil new_variables_match, "Unexpected summarize_graph output for graph-new.pb (no found variables)"
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new_variables_names = new_variables_match[0].scan(/name=([^,]+)/).flatten.sort
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refute_equal variables_names, new_variables_names, "transform_graph didn't obfuscate variable names"
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benchmark_model_match = /benchmark_model -- (.+)$/.match(new_summarize_graph_output)
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refute_nil benchmark_model_match,
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"Unexpected summarize_graph output for graph-new.pb (no benchmark_model example)"
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benchmark_model_args = benchmark_model_match[1].split
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benchmark_model_args.delete("--show_flops")
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benchmark_model_command = [
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"#{bin}/benchmark_model",
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"--time_limit=10",
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"--num_threads=1",
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*benchmark_model_args,
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"2>&1",
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].join(" ")
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assert_includes shell_output(benchmark_model_command),
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"Timings (microseconds):",
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"Unexpected benchmark_model output (no timings)"
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end
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end
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