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tensorflow/c/eager/unified_api_testutil.h
absl::Span<AbstractTensorHandle* const> inputs, std::vector<AbstractTensorHandle*>* params); // A callable that takes tensor inputs and returns zero or more tensor outputs. using Model = std::function<Status(AbstractContext*, absl::Span<AbstractTensorHandle* const>, absl::Span<AbstractTensorHandle*>)>;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 4K 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/experimental/gradients/tape/tape_operation.cc
} Status TapeOperation::SetAttrFunctionList( const char* attr_name, absl::Span<const AbstractOperation*> values) { return tensorflow::errors::Unimplemented( "SetAttrFunctionList has not been " "implemented yet."); } AbstractOperation* TapeOperation::GetBackingOperation() { return parent_op_; } Status TapeOperation::Execute(absl::Span<AbstractTensorHandle*> retvals, int* num_retvals) {
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jun 07 01:53:35 GMT 2022 - 9K bytes - Viewed (1) -
tensorflow/c/experimental/ops/BUILD
"//tensorflow/c/eager:c_api_unified_internal", "//tensorflow/c/eager:tracing_utils", "//tensorflow/core:framework", "//tensorflow/core/platform:errors", "@com_google_absl//absl/types:span", ], ) cc_library( name = "io_ops", srcs = [ "io_ops.cc", ], hdrs = [ "io_ops.h", ], visibility = [ "//tensorflow:internal", ],
Plain Text - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Thu Nov 17 15:20:54 GMT 2022 - 3.7K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/BUILD
"//tensorflow/c/eager:tfe_tensorhandle_internal", "//tensorflow/core:framework", "//tensorflow/core:lib", "@com_google_absl//absl/types:optional", "@com_google_absl//absl/types:span", "@com_google_absl//absl/types:variant", ], ) tf_cc_test( name = "parallel_device_lib_test", srcs = ["parallel_device_lib_test.cc"], deps = [ ":parallel_device_lib",
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 01 20:19:06 GMT 2024 - 4.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad.cc
for (auto output : forward_outputs_) { if (output) { output->Ref(); } } } Status Compute(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> grad_outputs, absl::Span<AbstractTensorHandle*> grad_inputs) override { AbstractTensorHandle* upstream_grad = grad_outputs[0]; AbstractTensorHandle* activations = forward_outputs_[0]; // Calculate Grad
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/eager/abstract_operation.h
virtual Status SetDeviceName(const char* name) = 0; virtual Status AddInput(AbstractTensorHandle* input) = 0; virtual Status AddInputList( absl::Span<AbstractTensorHandle* const> inputs) = 0; virtual Status Execute(absl::Span<AbstractTensorHandle*> retvals, int* num_retvals) = 0; virtual Status SetAttrString(const char* attr_name, const char* data,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jul 14 16:20:41 GMT 2021 - 6.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/grad_test_helper.h
namespace internal { void CompareNumericalAndAutodiffGradients( Model model, Model grad_model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, bool use_function, double abs_error = 1e-2); void CheckTensorValue(AbstractTensorHandle* t, absl::Span<const float> manuals, absl::Span<const int64_t> dims, double abs_error = 1e-2); Model BuildGradModel(Model forward, GradientRegistry registry);
C - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Jan 14 20:36:51 GMT 2021 - 1.5K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
} std::vector<int64_t> MakeTensorIDList( absl::Span<AbstractTensorHandle* const> tensors) { std::vector<int64_t> ids(tensors.size()); for (int i = 0; i < tensors.size(); i++) { ids[i] = ToId(tensors[i]); } return ids; } Status Tape::ComputeGradient( AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> targets, absl::Span<AbstractTensorHandle* const> sources,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/not_differentiable.cc
#include "tensorflow/c/experimental/gradients/not_differentiable.h" namespace tensorflow { namespace gradients { Status NotDifferentiableGradientFunction::Compute( AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> grad_outputs, absl::Span<AbstractTensorHandle*> grad_inputs) { for (int i = 0; i < grad_inputs.size(); i++) { grad_inputs[i] = nullptr; } return OkStatus(); }
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Jun 15 01:15:58 GMT 2022 - 1.3K bytes - Viewed (0)