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tensorflow/c/eager/c_api.h
// Some TF ops need a step container to be set to limit the lifetime of some // resources (mostly TensorArray and Stack, used in while loop gradients in // graph mode). Calling this on a context tells it to start a step. TF_CAPI_EXPORT extern void TFE_ContextStartStep(TFE_Context* ctx); // Ends a step. When there is no active step (that is, every started step has // been ended) step containers will be cleared. Note: it is not safe to call
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
CONTRIBUTING.md
### Contributing code If you have improvements to TensorFlow, send us your pull requests! For those just getting started, GitHub has a [how-to](https://help.github.com/articles/using-pull-requests/). TensorFlow team members will be assigned to review your pull requests. Once the
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K bytes - Viewed (0) -
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(
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tensorflow/c/eager/tape.h
std::vector<int64_t> tensor_stack; tensor_stack.reserve(target.size()); for (auto t : target) { tensor_stack.push_back(t); } BackpropInitialState<BackwardFunction, TapeTensor> result; while (!tensor_stack.empty()) { int64_t tensor_id = tensor_stack.back(); tensor_stack.pop_back(); auto op_id_it = tensor_tape.find(tensor_id);
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_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);
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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;
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