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tensorflow/c/eager/c_api_unified_experimental.cc
void TF_AbstractOpSetOpType(TF_AbstractOp* op, const char* const op_type, TF_Status* s) { tsl::Set_TF_Status_from_Status( s, unwrap(op)->Reset(op_type, /*raw_device_name=*/nullptr)); } void TF_AbstractOpSetOpName(TF_AbstractOp* op, const char* const op_name, TF_Status* s) { TracingOperation* tracing_op = dyn_cast<TracingOperation>(unwrap(op));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.h
absl::Span<AbstractTensorHandle* const>, absl::Span<AbstractTensorHandle*>)>; // Runs `model` maybe wrapped in a function call op. This can be thought as // being equivalent to the following python code. // // if use_function: // outputs = tf.function(model)(inputs) // else: // outputs = model(inputs)
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.cc
GradientFunction* ReluRegisterer(const ForwardOperation& op) { return new ReluGradientFunction(op.outputs); } GradientFunction* SparseSoftmaxCrossEntropyWithLogitsRegisterer( const ForwardOperation& op) { return new SparseSoftmaxCrossEntropyWithLogitsGradientFunction(op.outputs); } GradientFunction* BiasAddRegisterer(const ForwardOperation& op) { return new BiasAddGradientFunction(op.attrs); } } // namespace gradients
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/parallel_device/BUILD
"//tensorflow/c/eager:c_api", "//tensorflow/c/eager:c_api_experimental", "//tensorflow/c/eager:tfe_cancellation_manager_internal", "//tensorflow/c/eager:tfe_op_internal", "//tensorflow/c/eager:tfe_tensorhandle_internal", "//tensorflow/core:framework", "//tensorflow/core:lib", "@com_google_absl//absl/types:optional",
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/eager/tracing_utils.cc
namespace tracing { Status MaybeSetOpName(AbstractOperation* op, const char* op_name) { if (isa<TracingOperation>(op)) { TF_RETURN_IF_ERROR(dyn_cast<TracingOperation>(op)->SetOpName(op_name)); } if (isa<gradients::TapeOperation>(op)) { TF_RETURN_IF_ERROR(MaybeSetOpName( dyn_cast<gradients::TapeOperation>(op)->GetBackingOperation(), op_name)); } return absl::OkStatus(); } } // namespace tracing
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.cc
} AbstractOperationPtr fn_op(ctx->CreateOperation()); TF_RETURN_IF_ERROR(fn_op->Reset(fn_name, /*raw_device_name=*/nullptr)); for (auto input : inputs) { TF_RETURN_IF_ERROR(fn_op->AddInput(input)); } int retvals = outputs.size() - null_indices.size(); std::vector<AbstractTensorHandle*> fn_outputs(retvals); TF_RETURN_IF_ERROR(fn_op->Execute(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.h
// Return an add op multiplying `a` by `b`. TFE_Op* AddOp(TFE_Context* ctx, TFE_TensorHandle* a, TFE_TensorHandle* b); // Return a matmul op multiplying `a` by `b`. TFE_Op* MatMulOp(TFE_Context* ctx, TFE_TensorHandle* a, TFE_TensorHandle* b); // Return an identity op. TFE_Op* IdentityOp(TFE_Context* ctx, TFE_TensorHandle* a); // Return a shape op fetching the shape of `a`.
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) -
tensorflow/c/eager/gradients_test.cc
} AbstractOperationPtr check_numerics_op(ctx->CreateOperation()); ForwardOperation forward_op; Status s = Reset(check_numerics_op.get(), "CheckNumerics", /*raw_device_name=*/nullptr, &forward_op); ASSERT_EQ(errors::OK, s.code()) << s.message(); if (isa<TracingOperation>(check_numerics_op.get())) { s = dyn_cast<TracingOperation>(check_numerics_op.get()) ->SetOpName("check_numerics");
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad.cc
} grad_inputs[i] = grad_input; } return absl::OkStatus(); } ~IdentityNGradientFunction() override {} }; } // namespace GradientFunction* IdentityNRegisterer(const ForwardOperation& op) { return new IdentityNGradientFunction; } } // namespace gradients
C++ - Registered: Tue Apr 09 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 1.6K bytes - Viewed (0) -
SECURITY.md
inspected and debugged and it is intended to be used during the development phase. As part of the differences that make Eager mode easier to debug, the [shape inference functions](https://www.tensorflow.org/guide/create_op#define_the_op_interface) are skipped, and any checks implemented inside the shape inference code are not executed. The security impact of skipping those checks should be low, since the attack
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Sun Oct 01 06:06:35 GMT 2023 - 9.6K bytes - Viewed (0)