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ci/official/debug_tfci.sh
Austin Anderson <******@****.***> 1698867487 -0700
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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]; }
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) -
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);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 06 22:10:09 GMT 2020 - 2.3K bytes - Viewed (0) -
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/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
char* buffer, TF_Status* status) -> int64_t { counter.DecrementCount(); if (!counter.WaitFor(std::chrono::seconds(10))) { // This avoids having the test time out, which is harder to debug. TF_SetStatus(status, TF_FAILED_PRECONDITION, "desired concurrency not reached"); return -1; } memset(buffer, 'x', n); TF_SetStatus(status, TF_OK, ""); return n;
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:57 GMT 2021 - 23.2K bytes - Viewed (0) -
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/c_api_experimental.cc
tensorflow::mutex_lock c(graph->mu); const auto& debug_str = graph->graph.ToGraphDefDebug().DebugString(); *len = debug_str.size(); char* ret = static_cast<char*>(malloc(*len + 1)); memcpy(ret, debug_str.c_str(), *len + 1); return ret; } char* TF_FunctionDebugString(TF_Function* func, size_t* len) { const auto& debug_str = DebugString(func->record->fdef()); *len = debug_str.size();
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tensorflow/c/eager/c_api_test.cc
// When we turn on grappler, confirm that the tf.Add has been rewritten into a // tf.Mul. // This capability of checking the executed op names is currently only enabled // for TFRT debug build, for performance and simplicity reasons. if (use_tfrt) { TF_Buffer* buf = TF_NewBuffer(); TFE_GetExecutedOpNames(ctx, buf, status); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
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