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Results 1 - 10 of 42 for num_inputs (0.42 sec)
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tensorflow/c/experimental/gradients/grad_test_helper.cc
double abs_error) { auto num_inputs = inputs.size(); std::vector<AbstractTensorHandle*> outputs(num_inputs); auto s = RunModel(grad_model, ctx, inputs, absl::MakeSpan(outputs), /*use_function=*/use_function); ASSERT_EQ(errors::OK, s.code()) << s.message(); for (int i = 0; i < num_inputs; ++i) { if (!outputs[i]) continue;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 28 13:53:47 UTC 2024 - 5K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
using tensorflow::shape_inference::ShapeHandle; const int num_inputs = input_shapes->num_items; NodeDef node_def; tensorflow::ImmediateExecutionOperation* op = tensorflow::unwrap(tfe_op); node_def.set_name(op->Name()); node_def.set_op(op->Name()); for (int i = 0; i < num_inputs; ++i) { node_def.add_input("dummy_input"); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 15 03:35:10 UTC 2024 - 29.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/tpu_variable_runtime_reformatting.cc
if (data_type.getIntOrFloatBitWidth() == 64) continue; const auto& block_arg = replicate.GetBody().getArgument(replicate_arg); int64_t num_inputs = 0; if (replicate.IsReplicatedBlockArgument(block_arg)) { num_inputs = num_replicas; } else { num_inputs = 1; } // We have found a mirrored variable which is an input to the replicated
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 21.9K bytes - Viewed (0) -
tensorflow/cc/gradients/array_grad.cc
const std::vector<Output>& grad_inputs, std::vector<Output>* grad_outputs) { if (op.num_inputs() < 3) { return errors::InvalidArgument("SplitV requires 3 arguments"); } grad_outputs->push_back(Concat(scope, grad_inputs, op.input(2))); for (int i = 0; i < op.num_inputs() - 1; ++i) { grad_outputs->push_back(NoGradient()); } return scope.status(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 10 23:33:32 UTC 2023 - 31.7K bytes - Viewed (0) -
tensorflow/compiler/jit/encapsulate_xla_computations_pass.cc
std::vector<const Edge*> in_edges; TF_RETURN_IF_ERROR(launch->input_edges(&in_edges)); const int num_inputs = in_edges.size(); const int variable_start_index = xla_function_info.variable_start_index; const int num_variables = num_inputs - variable_start_index; const int num_args = variable_start_index; VLOG(4) << "Launch node '" << launch->name() << "'"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 15.1K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_launch_util.cc
return variable_lookup; } } // anonymous namespace std::vector<const Tensor*> InputsFromContext(OpKernelContext* ctx) { std::vector<const Tensor*> inputs; inputs.reserve(ctx->num_inputs()); for (int input_idx = 0; input_idx < ctx->num_inputs(); input_idx++) { inputs.push_back(&ctx->input(input_idx)); } return inputs; } absl::StatusOr<std::vector<int>> GetConstantInputIndicesFromContext(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 00:36:08 UTC 2024 - 40.4K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.cc
absl::StatusMessageAsCStr(status)); } void TF_ExecuteOperation(TF_AbstractOp* op, int num_inputs, TF_AbstractTensor* const* inputs, TF_OutputList* o, TF_Status* s) { for (int i = 0; i < num_inputs; i++) { tsl::Set_TF_Status_from_Status(s, unwrap(op)->AddInput(unwrap(inputs[i]))); if (TF_GetCode(s) != TF_OK) { return;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 10:15:17 UTC 2024 - 9K bytes - Viewed (0) -
tensorflow/cc/framework/ops.h
/// @addtogroup core /// @{ /// Represents a node in the computation graph. class Operation { public: Operation() : node_(nullptr) {} explicit Operation(Node* n); int32 num_inputs() const { return node_->num_inputs(); } DataType input_type(int32_t o) const { return node_->input_type(o); } Output input(int32_t i) const; int32 num_outputs() const { return node_->num_outputs(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 05:57:22 UTC 2024 - 10.5K bytes - Viewed (0) -
tensorflow/cc/gradients/math_grad.cc
// hence dx_k = dy for all x_k // So the gradient for AddN just transfers the incoming gradient to // all outgoing gradients. auto incoming = Identity(scope, grad_inputs[0]); for (int32_t i = 0; i < op.num_inputs(); ++i) { grad_outputs->push_back(incoming); } return scope.status(); } REGISTER_GRADIENT_OP("AddN", AddNGrad); Status PowGrad(const Scope& scope, const Operation& op,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Aug 25 18:20:20 UTC 2023 - 50.7K bytes - Viewed (0) -
tensorflow/c/kernels.cc
} #endif // defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD) } int TF_NumInputs(TF_OpKernelContext* ctx) { auto* cc_ctx = reinterpret_cast<::tensorflow::OpKernelContext*>(ctx); return cc_ctx->num_inputs(); } int TF_NumOutputs(TF_OpKernelContext* ctx) { auto* cc_ctx = reinterpret_cast<::tensorflow::OpKernelContext*>(ctx); return cc_ctx->num_outputs(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 22:53:47 UTC 2024 - 36K bytes - Viewed (0)