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tensorflow/c/BUILD
"//tensorflow/core:test", "//tensorflow/core:test_main", ], ) tf_custom_op_library( name = "test_op1.so", srcs = ["test_op1.cc"], ) tf_kernel_library( name = "test_op_kernel", srcs = ["test_op.cc"], deps = [ "//tensorflow/core:framework", "//tensorflow/core:lib", ], alwayslink = 1, ) tf_cuda_cc_test(
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CONTRIBUTING.md
```bash bazel test ${flags} //tensorflow/python/... ``` For a single component e.g. softmax op: ```bash bazel test ${flags} tensorflow/python/kernel_tests/nn_ops:softmax_op_test ``` For a single/parameterized test e.g. `test_capture_variables` in `tensorflow/python/saved_model/load_test.py`: (Requires `python>=3.7`) ```bash
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tensorflow/BUILD
# visibility = ["//visibility:public"], # ) # copybara:uncomment_end # 'enable_registration_v2' opts-in to a different implementation of op and # kernel registration - REGISTER_OP, REGISTER_KERNEL_BUILDER, etc. # # This setting is currently experimental. The 'v2' implementation does _not_ # correspond to a particular, finalized design; rather, it relates to # developing one. #
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RELEASE.md
mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True) return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var + 1e-10))` Alternatively, you can override `convolution_op`: `python class StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs, kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],
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tensorflow/c/eager/BUILD
"//tensorflow/core/common_runtime/eager:eager_operation", "//tensorflow/core/common_runtime/eager:execute", "//tensorflow/core/common_runtime/eager:kernel_and_device", "//tensorflow/core/common_runtime/eager:tensor_handle", "//tensorflow/core/lib/llvm_rtti", "@com_google_absl//absl/types:variant", ], }) + select({
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
//tensorflow/lite //tensorflow/compiler/mlir/lite //tensorflow/compiler/mlir/tfrt //tensorflow/core/runtime_fallback //tensorflow/core/tfrt //tensorflow/python/kernel_tests/signal //tensorflow/examples //tensorflow/tools/android //tensorflow/python/eager/benchmarks EOF # grep patterns for files and targets which don't need to be in the pip # package, ever.
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.bazelrc
build:mkl --define=tensorflow_mkldnn_contraction_kernel=0 build:mkl --define=build_with_openmp=true build:mkl -c opt # config to build OneDNN backend with a user specified threadpool. build:mkl_threadpool --define=build_with_mkl=true --define=enable_mkl=true build:mkl_threadpool --define=tensorflow_mkldnn_contraction_kernel=0 build:mkl_threadpool --define=build_with_mkl_opensource=true
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ci/official/utilities/code_check_full.bats
//tensorflow/lite //tensorflow/compiler/mlir/lite //tensorflow/compiler/mlir/tfrt //tensorflow/core/runtime_fallback //tensorflow/core/tfrt //tensorflow/python/kernel_tests/signal //tensorflow/examples //tensorflow/tools/android //tensorflow/python/eager/benchmarks EOF # grep patterns for files and targets which don't need to be in the pip # package, ever.
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