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tensorflow/c/eager/gradients.cc
if (num_dims > TensorShape::MaxDimensions()) { return errors::InvalidArgument("Value specified for `", attr_name, "` has ", num_dims, " dimensions which is over the limit of ", TensorShape::MaxDimensions(), "."); } TensorShapeProto proto; if (num_dims < 0) { proto.set_unknown_rank(true); } else {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
bool found_neg = false; size_t pos = 0; TF_Operation* oper; while ((oper = TF_GraphNextOperation(graph, &pos)) != nullptr) { if (oper == feed) { EXPECT_FALSE(found_placeholder); found_placeholder = true; } else if (oper == three) { EXPECT_FALSE(found_scalar_const); found_scalar_const = true; } else if (oper == add) { EXPECT_FALSE(found_add); found_add = true;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/eager/c_api_test.cc
"localhost:", tensorflow::testing::PickUnusedPortOrDie())}); tensorflow::JobDef* job_def2 = cluster_def->add_job(); job_def2->set_name("worker"); // Copy over `host:port` at `task_index` for (auto task : cluster_server_def.cluster().job(0).tasks()) { if (task.first == task_index) { job_def2->mutable_tasks()->insert({task.first, task.second}); } }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
tensorflow/c/eager/tape.h
{"SparseSoftmaxCrossEntropyWithLogits", {1}}, {"FusedBatchNorm", {1, 2, 3, 4}}, }); return m; } } // namespace // If over kMinAggregateCount gradients are accumulated and the total // memory consumption is over kMinAggregateBytes, do an early aggregation // so as to release the gradient tensor to save memory. constexpr int kMinAggregateCount = 4;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
configure.py
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
tensorflow/c/eager/c_api_experimental.h
// through custom device implementations). // // TODO(allenl): Currently these are black boxes, but we should have some way to // inspect values. This would let people e.g. copy over most attributes and then // modify some based on their values. // A reference to an op's name -> attribute mapping typedef struct TFE_OpAttrs TFE_OpAttrs;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
RELEASE.md
- It could also be a simple python or TF utility that you could easily copy over to your own codebase. In those case, just make it your own! - If you believe it should definitely be a public Keras API, please open a feature request in keras GitHub repo.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
tensorflow/BUILD
visibility = ["//visibility:public"], ) # This condition takes precedence over :linux_x86_64 config_setting( name = "linux_x86_64_no_sse", values = { "cpu": "k8", "copt": "-mno-sse4.2", }, visibility = ["//visibility:public"], ) # This condition takes precedence over :linux_x86_64 # TODO(b/290533709): Remove this with PJRT build rule cleanup. config_setting(
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 09 18:15:11 GMT 2024 - 53.4K bytes - Viewed (8) -
tensorflow/c/c_api_experimental.cc
} // On success, returns a set of TF_Function instances from `text_proto` of // GraphDef type. These functions must be deleted by calling TF_DeleteFunction. // // If `mutate_proto_func` is non-NULL, run it over each FunctionDef proto, // before creating a TF_Function out of the possibly mutated proto. static std::vector<UniqueFuncPtr> CreateFunctionsFromTextProto( const char* text_proto,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/c_api.cc
const char* TF_OperationName(TF_Operation* oper) { return oper->node.name().c_str(); } const char* TF_OperationOpType(TF_Operation* oper) { return oper->node.type_string().c_str(); } const char* TF_OperationDevice(TF_Operation* oper) { return oper->node.requested_device().c_str(); } int TF_OperationNumOutputs(TF_Operation* oper) { return oper->node.num_outputs(); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0)