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tensorflow/c/eager/immediate_execution_operation.h
namespace tensorflow { class ImmediateExecutionContext; class AbstractOpAttrs; // Abstract interface to an operation. class ImmediateExecutionOperation : public AbstractOperation { 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,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 22:40:32 GMT 2022 - 3.6K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
TF_CAPI_EXPORT extern void TFE_ContextSetServerDefWithTimeout( TFE_Context* ctx, int keep_alive_secs, const void* proto, size_t proto_len, int64_t init_timeout_in_ms, TF_Status* status, bool clear_existing_contexts); // Set server def with retries and timeout. This is helpful for fault-tolerant // initial connection in high-preemption environments, such as // ParameterServerStrategy training.
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) -
tensorflow/c/eager/c_api.cc
/*retries=*/0, status, /*clear_existing_contexts=*/false); } // Set server def with timeout. TF_CAPI_EXPORT extern void TFE_ContextSetServerDefWithTimeout( TFE_Context* ctx, int keep_alive_secs, const void* proto, size_t proto_len, int64_t init_timeout_in_ms, TF_Status* status, bool clear_existing_contexts) { TFE_ContextSetServerDefWithTimeoutAndRetries(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
tensorflow/c/eager/immediate_execution_context.h
// TODO(tfrt-devs): Figure out a way to deprecate following features after // migrated to TFRT. //===--------------------------------------------------------------------===// // Clear pending nodes in thread executors and kernel caches. virtual void ClearCachesAndThreadExecutors() = 0; // Initialize the step resource container for a training step. This is used
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
} else if (!absl::SimpleAtoi(content_length->second, &read)) { TF_SetStatus(status, TF_UNKNOWN, "Could not get content-length header"); return -1; } // `TF_OUT_OF_RANGE` isn't considered as an error. So we clear it here. TF_SetStatus(status, TF_OK, ""); TF_VLog(1, "Successful read of %s @ %u of size: %u", path.c_str(), offset, read); stream.read(buffer, read); read = stream.gcount();
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 23 06:55:53 GMT 2023 - 46.9K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_graph.cc
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 15.4K bytes - Viewed (1) -
tensorflow/c/eager/c_api_test_util.cc
serialized_server_def.size(), init_timeout_in_ms, status, /*clear_existing_contexts=*/false); EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status); TFE_DeleteContextOptions(opts); TF_DeleteStatus(status); return ctx; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 23.5K bytes - Viewed (2) -
tensorflow/c/eager/c_api_experimental.cc
const char* raw_device_name, TF_Status* status) { if (op_to_reset) { tensorflow::ImmediateExecutionOperation* op = tensorflow::unwrap(op_to_reset); op->Clear(); status->status = op->Reset(op_or_function_name, raw_device_name); } else { TF_SetStatus(status, TF_INVALID_ARGUMENT, "op_to_reset should not be nullptr"); } }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
tensorflow/c/c_api_function_test.cc
// Make grad_func a gradient of func TF_GraphCopyFunction(host_graph_, func, grad_func, s_); ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_); // Verify that function and its grad are linked gdef.Clear(); GetGraphDef(host_graph_, &gdef); std::vector<std::pair<string, string>> grads = GetGradDefs(gdef); ASSERT_EQ(1, grads.size()); ASSERT_EQ("FooFunc", grads[0].first); ASSERT_EQ("MyGrad", grads[0].second);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 20 22:08:54 GMT 2023 - 63.6K bytes - Viewed (6) -
RELEASE.md
* Add tf.keras.layers.AbstractRNNCell as the preferred implementation of RNN cell for TF v2. User can use it to implement RNN cell with custom behavior. * Adding `clear_losses` API to be able to clear losses at the end of forward pass in a custom training loop in eager. * Add support for passing list of lists to the `metrics` param in Keras `compile`.
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)