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Results 21 - 30 of 43 for PartitionedCall (0.41 sec)
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tensorflow/compiler/jit/build_xla_ops_pass.cc
// PartitionedCall are placed on the host, a producer that produces them on the // device will incur a D2H copy, even if the PartitionedCall is not executed // (i.e. even if we choose to execute the XLA compiled computation via _XlaRun). // To prevent this, we add control dependencies to make the int32 input edges // into the PartitionedCall dead. With this change the D2H copy only happens if
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 24.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_xla.mlir
// CHECK-NEXT: [[q_bias:%.+]] = "quantfork.qcast"([[bias]]) : (tensor<2xf32>) -> tensor<2x!quant.uniform<i32:f32, 0.044022349891595126>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 19:32:28 UTC 2024 - 11.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_device_passes.td
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 17 18:52:57 UTC 2024 - 12.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tensor_list_ops_decomposition.mlir
: (tensor<!tf_type.variant<tensor<f32>>>, tensor<i1>) -> tensor<!tf_type.variant<tensor<f32>>> // CHECK: %[[CALL2:.*]]:2 = "tf.PartitionedCall"(%[[INIT]], // CHECK-SAME: f = @callee_tensorlist_decomposed %call2 = "tf.PartitionedCall"(%tl, %arg0) {f = @callee, config = "", config_proto = "", executor_type = ""} : (tensor<!tf_type.variant<tensor<f32>>>, tensor<i1>) -> tensor<!tf_type.variant<tensor<f32>>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 38.6K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_cluster_util_test.cc
} void CreateSubgraphCallingFunctionWithRefVar(const Scope& s) { NameAttrList ref_float_function; ref_float_function.set_name("RefFloatFn"); ops::PartitionedCall call(s.WithOpName("RefFloat"), {absl::Span<Input>{}}, {DT_FLOAT}, ref_float_function); Output constant = ops::Const(s.WithOpName("constant_ref_pco"), Input::Initializer(0.0));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 09:53:30 UTC 2024 - 10.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/components/tf_to_stablehlo.mlir
// ----- // This test makes sure functions without tf._noinline=true is inlined. module { func.func @partitioned_call(%arg0: tensor<1x2x2x3xf32>) -> (tensor<1x2x2x3xf32>) { %0 = "tf.PartitionedCall"(%arg0) <{ config = "", config_proto = "", executor_type = "", f = @some_func }> { _collective_manager_ids = [], device = "" } : (tensor<1x2x2x3xf32>) -> tensor<1x2x2x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 08 20:05:12 UTC 2024 - 13.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/merge_initializer_function_ops_to_main.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:49:35 UTC 2023 - 29.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/cc/saved_model_export_test.cc
tf_executor.graph { %control_0 = tf_executor.island wraps "tf.PartitionedCall"() <{config = "", config_proto = "", executor_type = "", f = @function_1}> : () -> () %control_1 = tf_executor.island wraps "tf.PartitionedCall"() <{config = "", config_proto = "", executor_type = "", f = @function_2}> : () -> ()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 20 11:11:25 UTC 2024 - 19.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/unfreeze_constants.mlir
attributes {tf.entry_function = {control_outputs = "", inputs = "serving_default_input_tensor:0", outputs = "PartitionedCall:0"}, tf_saved_model.exported_names = ["serving_default"]} { %0 = "tf.PartitionedCall"(%arg0) {f = @__inference_main} : (tensor<1x5x5x1024xf32>) -> tensor<1x5x5x1024xf32> return %0 : tensor<1x5x5x1024xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 17.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/prepare_tpu_computation_for_tf_export.cc
// Collect all the ops that needs to have token input names attributes. These // ops are communication ops and all their parent ops via nesting or function // calls. For example, IfRegion op and PartitionedCall op. std::vector<Operation*> worklist; absl::flat_hash_set<Operation*> ops_with_tokens; module.walk([&](Operation* op) { if (IsCommunicationOp(op)) { ops_with_tokens.insert(op);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.8K bytes - Viewed (0)