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tensorflow/c/eager/c_api_remote_test_util.h
bool heavy_load_on_streaming_rpc, bool remote_func_outputs = false, bool has_packed_input = false);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get()); ASSERT_TRUE(absl::StrContains(device_name, "GPU:0")) << device_name; // .backing_device of shape is CPU since the tensor is backed by CPU backing_device_name = TFE_TensorHandleBackingDeviceName(retvals[0], status.get()); ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());
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/c_api_test.cc
} void NoOpDeallocator(void* data, size_t, void*) {} TEST(CAPI, MalformedTensor) { // See https://github.com/tensorflow/tensorflow/issues/7394 // num_dims = 0 implies a scalar, so should be backed by at least 4 bytes of // data. TF_Tensor* t = TF_NewTensor(TF_FLOAT, nullptr, 0, nullptr, 0, &NoOpDeallocator, nullptr); ASSERT_TRUE(t == nullptr); } TEST(CAPI, AllocateTensor) {
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_distributed_test.cc
TFE_TensorHandle* packed_handle = TFE_CreatePackedTensorHandle(ctx, handles.data(), &num_replicas, status); ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status); EXPECT_EQ(TFE_TensorHandleDataType(packed_handle), TF_RESOURCE); EXPECT_EQ(TFE_TensorHandleNumDims(packed_handle, status), 0); EXPECT_EQ(TFE_TensorHandleNumElements(packed_handle, status), 1);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 23.5K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.cc
if (*requested_placement == '\0') { TF_SetStatus( status, TF_INTERNAL, "Ops must be placed on the parallel device explicitly, or their inputs " "first un-packed. Got an un-placed op with an input placed on the " "parallel device."); return; } TFE_Context* context = TFE_OpGetContext(original_op, status); if (TF_GetCode(status) != TF_OK) return;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 29 22:05:31 GMT 2023 - 18.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_remote_function_test.cc
bool remote_func_outputs = false, bool has_packed_input = false) { return TestRemoteExecuteSilentCopies(async, remote, /*func=*/true, heavy_load_on_streaming_rpc, remote_func_outputs, has_packed_input); } TEST(CAPI, RemoteExecuteSilentCopiesAsyncFunc) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 3.6K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
// While the Accumulate method is running (accumulating is True), any op // executions not forwarded to backward_tape should be ignored. bool accumulating; }; // A deque-backed stack, whose element references are not invalidated by // pushes and pops at the back. std::stack<AccumulatorCallState> call_state_; }; // Template instantiations here
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) -
tensorflow/c/eager/c_api_experimental.h
TF_CAPI_EXPORT TFE_TensorHandle* TFE_NewTensorHandleFromTensor( TFE_Context* ctx, TF_Tensor* t, TF_Status* status); // Create a packed TensorHandle with the given list of TensorHandles. // If `handles` are on the same device, assign the same device to the packed // handle; if `handles` are on different deivces, assign a CompositeDevice to // it. TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_CreatePackedTensorHandle(
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_remote_test_util.cc
ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status); TFE_TensorHandle* packed_handle = nullptr; if (has_packed_input) { int num_replicas = 1; std::vector<TFE_TensorHandle*> packed_handles = {h1_task2}; packed_handle = TFE_CreatePackedTensorHandle(ctx, packed_handles.data(), &num_replicas, status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 9.1K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_context.h
Status* status) = 0; // Create an operation to perform op execution ImmediateExecutionOperation* CreateOperation() override = 0; // Returns whether the runtime is backed by TFRT or the legacy TF Eager // Runtime. This is necessary to decouple runtime-dependent // code that is layered on top of the runtime. virtual bool UsesTFRT() = 0; // List attributes of available devices
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)