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tensorflow/c/eager/custom_device_testutil.cc
if (TF_GetCode(s) != TF_OK) return; int num_inputs = TFE_OpGetFlatInputCount(original_op, s); if (TF_GetCode(s) != TF_OK) return; for (int j = 0; j < num_inputs; ++j) { TFE_TensorHandle* input = TFE_OpGetFlatInput(original_op, j, s); if (TF_GetCode(s) != TF_OK) return; const char* input_device = TFE_TensorHandleDeviceName(input, s); if (TF_GetCode(s) != TF_OK) return;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 03 20:47:31 GMT 2021 - 8.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
std::vector<TFE_TensorHandle*> device_inputs; device_inputs.reserve(inputs.size()); for (int input_index = 0; input_index < inputs.size(); ++input_index) { // Parallel tensors are divided between operations by device. device_inputs.push_back(inputs[input_index]->tensor(device_index)); } device_thread->StartExecute( context, operation_name, std::move(device_inputs), attributes,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
RELEASE.md
* Using `functools.partial` with an invalid `tf.function` input * `tf.function` now enforces input parameter names to be valid Python identifiers. Incompatible names are automatically sanitized similarly to existing SavedModel signature behavior. * Parameterless `tf.function`s are assumed to have an empty `input_signature` instead of an undefined one even if the `input_signature` is unspecified.
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/c/eager/gradient_checker.cc
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_distributed_test.cc
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/experimental/gradients/nn_grad_test.cc
Status ReluModel(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) { return ops::Relu(ctx, inputs[0], &outputs[0], "Relu"); } Status SparseSoftmaxCrossEntropyWithLogitsModel( AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) { AbstractTensorHandle* loss;
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api.cc
return tensorflow::unwrap(op)->DeviceName().c_str(); } void TFE_OpAddInput(TFE_Op* op, TFE_TensorHandle* input, TF_Status* status) { status->status = tensorflow::unwrap(op)->AddInput(tensorflow::unwrap(input)); } void TFE_OpAddInputList(TFE_Op* op, TFE_TensorHandle** inputs, int num_inputs, TF_Status* status) { status->status = tensorflow::unwrap(op)->AddInputList(
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/c_api_internal.h
// Used to link graphs contained in TF_WhileParams to the parent graph that // will eventually contain the full while loop. TF_Graph* parent; TF_Output* parent_inputs; }; struct TF_OperationDescription { TF_OperationDescription(TF_Graph* g, const char* op_type, const char* node_name)
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sat May 13 00:49:12 GMT 2023 - 7.6K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.cc
TF_DeleteStatus(status); return th; } TFE_Op* MinOp(TFE_Context* ctx, TFE_TensorHandle* input, TFE_TensorHandle* axis) { TF_Status* status = TF_NewStatus(); TFE_Op* op = TFE_NewOp(ctx, "Min", status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(op, input, status); CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_OpAddInput(op, axis, status);
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_test_util.h
// Return a shape op fetching the shape of `a`. TFE_Op* ShapeOp(TFE_Context* ctx, TFE_TensorHandle* a); // Return an allreduce op adding up input tensor `in` from `group_size` workers. TFE_Op* AllReduceOp(TFE_Context* ctx, TFE_TensorHandle* in, int group_size); // Return a SendOp op `op_name` with send input tensor `in` and attributes // `send_device`, `recv_device`, and `send_device_incarnation` set.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Jul 17 23:43:59 GMT 2023 - 7.7K bytes - Viewed (0)