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ci/official/debug_tfci.sh
Austin Anderson <******@****.***> 1698867487 -0700
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tensorflow/c/eager/c_api_debug_test.cc
TFE_TensorDebugInfo* debug_info = TFE_TensorHandleTensorDebugInfo(h, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); ASSERT_EQ(2, TFE_TensorDebugInfoOnDeviceNumDims(debug_info)); // Shape is the same for CPU tensors. EXPECT_EQ(3, TFE_TensorDebugInfoOnDeviceDim(debug_info, 0)); EXPECT_EQ(2, TFE_TensorDebugInfoOnDeviceDim(debug_info, 1)); TFE_DeleteTensorDebugInfo(debug_info);
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tensorflow/c/eager/c_api_debug.cc
TF_CAPI_EXPORT extern void TFE_DeleteTensorDebugInfo( TFE_TensorDebugInfo* debug_info) { delete debug_info; } TF_CAPI_EXPORT extern int TFE_TensorDebugInfoOnDeviceNumDims( 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]; }
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tensorflow/c/eager/tfe_tensor_debug_info_internal.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_TFE_TENSOR_DEBUG_INFO_INTERNAL_H_ #define TENSORFLOW_C_EAGER_TFE_TENSOR_DEBUG_INFO_INTERNAL_H_ #include <vector> #include "tensorflow/core/platform/types.h" struct TFE_TensorDebugInfo { explicit TFE_TensorDebugInfo(const std::vector<int64_t>& dims)
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tensorflow/c/eager/c_api.h
// that produces `handle` has completed. TF_CAPI_EXPORT extern TFE_TensorDebugInfo* TFE_TensorHandleTensorDebugInfo( TFE_TensorHandle* h, TF_Status* status); // Deletes `debug_info`. TF_CAPI_EXPORT extern void TFE_DeleteTensorDebugInfo( TFE_TensorDebugInfo* debug_info); // Returns the number of dimensions used to represent the tensor on its device. // The number of dimensions used to represent the tensor on device can be
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
//tensorflow/python:mixed_precision //tensorflow/python:tf_optimizer //tensorflow/python:compare_test_proto_py //tensorflow/python/framework:test_ops_2 //tensorflow/python/framework:test_file_system.so //tensorflow/python/debug:grpc_tensorflow_server.par //tensorflow/python/feature_column:vocabulary_testdata //tensorflow/python/util:nest_test_main_lib //tensorflow/lite/experimental/examples/lstm:rnn_cell
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tensorflow/c/c_api.cc
*node_def = node->def(); } } *graph_def.mutable_library() = graph.flib_def().ToProto(); if (flags::Global().more_stack_traces.value()) { *graph_def.mutable_debug_info() = graph.BuildDebugInfo(); } session->graph->mu.unlock(); status->status = session->session->Extend(std::move(graph_def)); if (!status->status.ok()) {
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tensorflow/c/c_api_function.cc
#include "tensorflow/core/framework/types.h" #include "tensorflow/core/graph/graph.h" #include "tensorflow/core/platform/base64.h" #include "tensorflow/core/platform/strcat.h" #include "tensorflow/core/util/debug_data_dumper.h" using tensorflow::errors::InvalidArgument; namespace tensorflow { namespace { Status ValidateNonRefOutput(const Node* node, int idx) { const DataType& dt = node->output_type(idx);
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
void AsyncWait(TFE_Context* context, TF_Status* status) const; // Device strings for component devices that only include a // worker/task/replica if any of those differ across components. Useful for // printing debug messages. std::vector<std::string> SummarizeDeviceNames() const; private: // A sequence of device names, indicating which devices replicated operations // are forwarded to.
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tensorflow/c/eager/parallel_device/parallel_device.cc
// explicitly by running a TPUReplicatedOutput operation on the parallel device. // // TODO(allenl): There are some use-cases that are only supported by copying to // host at the moment (e.g. debug print on a tensor, .numpy(), etc.). We either // need to return something here or address these use-cases one by one. TFE_TensorHandle* CopyTensorFromParallelDevice(TFE_Context* context,
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