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WORKSPACE
) load("@python//:defs.bzl", "interpreter") load("@rules_python//python:pip.bzl", "package_annotation", "pip_parse") NUMPY_ANNOTATIONS = { "numpy": package_annotation( additive_build_content = """\ filegroup( name = "includes", srcs = glob(["site-packages/numpy/core/include/**/*.h"]), ) cc_library( name = "numpy_headers", hdrs = [":includes"],
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tensorflow/c/eager/parallel_device/BUILD
"//tensorflow/c/eager:c_api_experimental", "//tensorflow/c/eager:tfe_context_internal", "//tensorflow/core:framework", "//tensorflow/core:protos_all_cc", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/common_runtime/eager:context", ], ) cc_library( name = "parallel_device_testlib", testonly = 1,
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ci/official/envs/macos_x86_cross_compile
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tensorflow/c/BUILD
":checkpoint_reader", ":tf_buffer", ":tf_buffer_internal", "//tensorflow/c/eager:c_api", "//tensorflow/c/eager:c_api_internal", "//tensorflow/c/eager:tfe_context_internal", "//tensorflow/c/eager:tfe_op_internal", "//tensorflow/c/eager:tfe_tensorhandle_internal", "//tensorflow/compiler/jit:flags", "//tensorflow/compiler/jit:get_compiler_ir",
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CONTRIBUTING.md
debugging information with `--config=dbg`, as issues occur on Linux if there is too much debug info (see [this GitHub issue](https://github.com/tensorflow/tensorflow/issues/48919) for context). If you want to debug a kernel, you can compile specific files with `-g` using the `--per_file_copt` bazel option. For example, if you want to debug the Identity op, which are in files starting with `identity_op`, you can run
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tensorflow/c/eager/BUILD
"//tensorflow/core:protos_all_cc", ], ) cc_library( name = "immediate_execution_context", hdrs = ["immediate_execution_context.h"], visibility = [ "//tensorflow:internal", ], deps = [ ":abstract_context", ":immediate_execution_distributed_manager", ":immediate_execution_operation", ":immediate_execution_tensor_handle",
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RELEASE.md
* SavedModelBuilder will now deduplicate asset names that point to files with the same basename and the same contents. Note that this may result in new asset files included in SavedModels in cases where assets with the same name but different contents were previously overwriting each other. ## Thanks to our Contributors
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tensorflow/BUILD
"//tensorflow/c/eager:c_api_experimental", "//tensorflow/c/eager:c_api_internal", "//tensorflow/c/eager:dlpack", "//tensorflow/c/eager:tape", "//tensorflow/c/eager:tfe_context_internal", "//tensorflow/c/eager:tfe_op_internal", "//tensorflow/c/eager:tfe_tensorhandle_internal", "//tensorflow/c/experimental/gradients", "//tensorflow/c/experimental/gradients/tape",
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tensorflow/c/experimental/gradients/BUILD
name = "array_grad", srcs = ["array_grad.cc"], hdrs = [ "array_grad.h", ], visibility = [ "//tensorflow:internal", ], deps = [ "//tensorflow/c/eager:abstract_context", "//tensorflow/c/eager:gradients_internal", ], ) cc_library( name = "math_grad", srcs = ["math_grad.cc"], hdrs = [ "math_grad.h", ], visibility = [
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.bazelrc
build:release_cpu_macos --config=avx_linux # Base build configs for macOS build:release_macos_base --action_env DEVELOPER_DIR=/Applications/Xcode.app/Contents/Developer build:release_macos_base --define=no_nccl_support=true --output_filter=^$ # Ensure release_base is set on mac build:release_macos_base --config=release_base # Build configs for macOS x86
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