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tensorflow/c/eager/custom_device_test.cc
RegisterLoggingDevice(context.get(), custom0, /*strict_scope_placement=*/false, &arrived, &executed, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); RegisterLoggingDevice(context.get(), custom1, /*strict_scope_placement=*/true, &arrived, &executed, status.get());
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tensorflow/c/eager/custom_device_testutil.h
#include "tensorflow/c/eager/c_api.h" #include "tensorflow/c/eager/c_api_experimental.h" #include "tensorflow/c/tf_status.h" void RegisterLoggingDevice(TFE_Context* context, const char* name, bool strict_scope_placement, bool* arrived_flag, bool* executed_flag, TF_Status* status); void AllocateLoggingDevice(const char* name, bool* arrived_flag,
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Aug 27 23:39:24 GMT 2020 - 1.6K bytes - Viewed (0) -
tensorflow/c/c_api.cc
const tensorflow::Scope& scope, const std::vector<tensorflow::Output>& inputs, std::vector<tensorflow::Output>* outputs) { DCHECK_EQ(scope.graph(), &parent->graph); TF_RETURN_IF_ERROR( CopyGraph(¶ms->body_graph->graph, &parent->graph, &parent->refiner, params->body_inputs, inputs, scope.impl()->name(), scope.impl()->control_deps(),
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tensorflow/c/eager/custom_device_testutil.cc
device->arrived_flag = arrived_flag; device->executed_flag = executed_flag; device->device_name = name; device->underlying_device = "/job:localhost/replica:0/task:0/device:CPU:0"; device->strict_scope_placement = strict_scope_placement; TFE_RegisterCustomDevice(context, custom_device, name, device, status); } TFE_TensorHandle* UnpackTensorHandle(TFE_TensorHandle* logged_tensor_handle,
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Mar 03 20:47:31 GMT 2021 - 8.3K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/modular_filesystem.h
// need for `Env::Default()`. At that time, we might decide to remove the need // for `Env::Default()` altogether, but that's a different project, not in // scope for now. I'm just mentioning this here as that transition will mean // removal of the registration part from `Env` and adding it here instead: we // will need tables to hold for each scheme the function tables that implement
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CODE_OF_CONDUCT.md
## Scope
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tensorflow/c/eager/tape.h
// efficiency of forward-mode autodiff. Instead, language bindings should call // DeleteGradient as soon as a Tensor which was `Watch`ed or was an output // Tensor passed to Accumulate goes out of scope. // // Not thread-safe. template <typename Gradient, typename BackwardFunction, typename TapeTensor> class ForwardAccumulator { public: // Does not take ownership of `vspace`, which must outlive the
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RELEASE.md
assignment to variables. In particular one can write `var[1:3].assign([1,11,111])`. * Deprecated `tf.op_scope` and `tf.variable_op_scope` in favor of a unified `tf.name_scope` and `tf.variable_scope`. The new argument order of `tf.variable_scope` is incompatible with previous versions. * Introducing `core/util/tensor_bundle` module: a module to efficiently
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tensorflow/c/c_api_test.cc
TEST_F(CApiGradientsTest, GradientsPrefix_TwoGradientsInSameScope) { BuildGraphAndAddGradientsWithPrefixes("scope/gradients", "scope/gradients_1"); ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_); } TEST_F(CApiGradientsTest, GradientsPrefix_TwoGradientsInDifferentScopes) { BuildGraphAndAddGradientsWithPrefixes("scope/gradients", "scope_1/gradients"); ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_); }
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tensorflow/c/BUILD
"//tensorflow/c/experimental/filesystem:modular_filesystem", "//tensorflow/cc:grad_ops", "//tensorflow/cc:gradients", "//tensorflow/cc:ops", "//tensorflow/cc:scope_internal", "//tensorflow/cc:while_loop", "//tensorflow/cc/saved_model:loader_lite", "//tensorflow/compiler/mlir/tfr:graph_decompose_pass",
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