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Results 71 - 80 of 116 for PartitionedCall (0.23 sec)
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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/jit/force_xla_constants_on_host_pass_test.cc
Output in = ops::Placeholder(root, DT_FLOAT); Output perm = ops::Const(root, {3, 1, 2, 0}); NameAttrList b_name_attr; b_name_attr.set_name("TransposeCall"); ops::PartitionedCall call(root.WithOpName("call"), {in, perm}, {DT_FLOAT}, b_name_attr); call.output.front().node()->AddAttr(kXlaMustCompileAttr, true); std::unique_ptr<Graph> graph;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 4.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/force_shared_name_for_resource_ops.pbtxt
} attr { key: "shape" value { shape { } } } attr { key: "shared_name" value { s: "" } } } node { name: "Call" op: "PartitionedCall" attr { key: "Tin" value { list { } } } attr { key: "Tout" value { list { type: DT_RESOURCE } } } attr {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Aug 31 02:37:48 UTC 2021 - 5.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/attribute_utils.cc
auto value = device_attr.getValue(); // TODO(b/229028654): Remove string conversion once we have C++17. absl::string_view device_type(value.data(), value.size()); // Device type may be empty for some ops, e.g. tf.PartitionedCall. auto it = std::find(kValidDeviceTypes.begin(), kValidDeviceTypes.end(), device_type); if (it == kValidDeviceTypes.end()) return failure(); return success(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 3.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/graph-as-function.pbtxt
} } } attr { key: "Tout" value { list { type: DT_FLOAT } } } attr { key: "_gradient_op_type" value { s: "PartitionedCall-1205" } } attr { key: "config" value { s: "" } } attr { key: "config_proto" value {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 24 00:18:34 UTC 2023 - 5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/decompose_optionals.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 4.5K 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/tensorflow/passes/convert_tpu_model_to_cpu.cc
return failure(); } rewriter.setInsertionPointAfter(call_op); // The TPUPartitionedCall has a TPUOrdinalSelectorOp for its last argument // which should be removed. So the replaced PartitionedCall op should keep // its original arguments except for the last element. SmallVector<Value> args = call_op.getOperands().drop_back(); rewriter.replaceOpWithNewOp<TF::PartitionedCallOp>(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 5.5K bytes - Viewed (0) -
tensorflow/compiler/jit/ops/xla_ops.cc
.SetShapeFn([](InferenceContext* c) { c->set_output(0, c->input(0)); return absl::OkStatus(); }) .Doc(R"(XLA Merge Op. For use by the XLA JIT only. Merges the outputs from the PartitionedCall node and the _XlaRun node. Unlike the TensorFlow Merge op, which requires inputs of some types to be placed on the host, the _XlaMerge op can merge inputs of all types when
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 09:08:06 UTC 2024 - 4.5K 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)