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ci/official/utilities/generate_index_html.sh
# limitations under the License. # ============================================================================== # Generates a handy index.html with a bunch of Kokoro links for GitHub # presubmits. # Usage: generate_index_html.sh /path/to/output/index.html cat > "$1" <<EOF <html> <head> <title>$(basename "$KOKORO_JOB_NAME")</title> </head> <body> <h1>TensorFlow Job Logs and Links</h1>
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Sep 29 20:26:13 GMT 2023 - 2.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_debug.cc
TFE_TensorDebugInfo* debug_info) { return debug_info->dev_dims.size(); } TF_CAPI_EXPORT extern int64_t TFE_TensorDebugInfoOnDeviceDim( TFE_TensorDebugInfo* debug_info, int dim_index) { return debug_info->dev_dims[dim_index]; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 11 01:20:50 GMT 2021 - 2.5K bytes - Viewed (0) -
ci/official/utilities/code_check_changed_files.bats
echo "=============================" grep -e 'BUILD' $BATS_FILE_TMPDIR/changed_files \ | xargs buildifier -v -mode=diff -diff_command="git diff --no-index" } # Note: this is excluded on the full code base, since any submitted code must # have passed Google's internal style guidelines. @test "Check formatting for C++ files" {
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tensorflow/c/eager/immediate_execution_tensor_handle.h
// ImmediateExecutionTensorHandles, but comes up for example when computing // the shape of a parallel tensor with component shapes differing across // devices. virtual Status Dim(int dim_index, int64_t* dim) const = 0; // Returns the device which created the handle. virtual const char* DeviceName(Status* status) const = 0; // Returns the device where the tensor was placed.
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tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
TFE_NewContext(opts.get(), status.get()), TFE_DeleteContext); tensorflow::ServerDef server_def = GetServerDef("worker", 3); // This server def has the task index set to 0. std::string serialized = server_def.SerializeAsString(); server_def.set_task_index(1); std::unique_ptr<tensorflow::GrpcServer> worker_server1; ASSERT_TRUE(tensorflow::GrpcServer::Create(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 22:09:57 GMT 2023 - 6.7K bytes - Viewed (0) -
ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
index 3f9112e..8e60197 100644 --- a/iconv/gconv.h +++ b/iconv/gconv.h @@ -174,7 +174,7 @@ typedef struct __gconv_info { size_t __nsteps; struct __gconv_step *__steps; - __extension__ struct __gconv_step_data __data __flexarr; + __extension__ struct __gconv_step_data __data[0]; } *__gconv_t; #endif /* gconv.h */ diff --git a/include/libc-symbols.h b/include/libc-symbols.h index c555bf2..143b26d 100644
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ci/official/containers/linux_arm64/cuda.packages.txt
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation libcudnn8=8.9.6.50-1+cuda12.2 libcudnn8-dev=8.9.6.50-1+cuda12.2 # This can be removed once NVIDIA publishes a cuda-12.3.2 Docker image. # For now it ensures that we install at least version 12.3.107 of PTXAS, # since 12.3.103 has a bug.
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ci/official/envs/linux_arm64
TFCI_DOCKER_ENABLE=1 TFCI_DOCKER_IMAGE=gcr.io/tensorflow-sigs/build-arm64:tf-2-16-multi-python TFCI_DOCKER_PULL_ENABLE=1 TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/linux_arm64" TFCI_INDEX_HTML_ENABLE=1 TFCI_LIB_SUFFIX="-cpu-linux-arm64" TFCI_OUTPUT_DIR=build_output TFCI_WHL_AUDIT_ENABLE=1 TFCI_WHL_AUDIT_PLAT=manylinux2014_aarch64 TFCI_WHL_BAZEL_TEST_ENABLE=1 TFCI_WHL_SIZE_LIMIT=240M
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tensorflow/c/eager/gradient_checker.h
namespace tensorflow { namespace gradients { /* Returns numerical grad inside `dtheta_approx` given `forward` model and * parameter specified by `input_index`. * * I.e. if y = <output of the forward model> and w = inputs[input_index], * this will calculate dy/dw numerically. * * `use_function` indicates whether to use graph mode(true) or eager(false). *
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tensorflow/c/eager/immediate_execution_operation.h
public: virtual void Clear() = 0; // Returns the inputs of this op. virtual absl::Span<ImmediateExecutionTensorHandle* const> GetInputs() const = 0; virtual Status SetInput(size_t index, ImmediateExecutionTensorHandle* input) = 0; virtual ImmediateExecutionContext* GetContext() const = 0; // Following two methods are used to support custom device.
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