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Results 31 - 40 of 41 for tf_outputs (0.14 sec)
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tensorflow/c/c_api_experimental.cc
if (dequeue_op == nullptr) { status->status = tensorflow::errors::Internal( "Unable to find the dequeue node in the TF graph."); return nullptr; } VLOG(1) << "Running the dequeue op"; TF_Output output{dequeue_op, 0}; TF_Tensor* ret; TF_SessionRun(session, /*run_options*/ nullptr, // input related parameters /*inputs*/ nullptr, /*input_values*/ nullptr, /*ninputs*/ 0,
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/c/eager/c_api_experimental_test.cc
TF_SetAttrType(id_descr, "T", TF_INT32); TF_AddInput(id_descr, {arg, 0}); TF_Operation* id = TF_FinishOperation(id_descr, status); ASSERT_TRUE(TF_GetCode(status) == TF_OK) << TF_Message(status); TF_Output input{arg, 0}; TF_Output output{id, 0}; TF_Function* fn = TF_GraphToFunction(function_graph, "ident", 0, 1, &id, 1, &input, 1, &output, nullptr, nullptr, "test", status);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Aug 03 03:14:26 UTC 2023 - 31.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
// // Assumes that the provided 'ctx' outlives the returned TFE_Op, i.e., // TFE_DeleteOp() is called before TFE_DeleteContext(). // // Very similar to TF_OperationDescription with some differences: // (1) TF_Output or TFE_TensorHandle* as arguments to TF_AddInput, // TF_AddInputList // (2) TF_ColocateWith, TF_AddControlInput etc. do not make sense. // (3) Implementation detail: Avoid use of NodeBuilder/NodeDefBuilder since
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 27 21:07:00 UTC 2023 - 22.8K bytes - Viewed (0) -
tensorflow/compiler/jit/extract_outside_compilation_pass.cc
NodeDefBuilder recv_at_host_builder( absl::StrCat("outside_compilation_", oc_cluster_name, "_recv"), "_XlaRecvAtHost"); NodeDef recv_at_host_def; recv_at_host_builder.Attr("Toutputs", recv_at_host_dtypes); // The correct device_ordinal will be inserted during replication in a // subsequent rewrite. AttrValue device_ordinal_value; device_ordinal_value.set_placeholder("_device_ordinal");
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 104.7K bytes - Viewed (0) -
tensorflow/compiler/jit/extract_outside_compilation_pass_test.cc
} Node *recv_at_host = node_name_image["outside_compilation_cluster__0_recv"]; EXPECT_NE(recv_at_host, nullptr); std::vector<DataType> recv_at_host_dtypes; TF_CHECK_OK( GetNodeAttr(recv_at_host->attrs(), "Toutputs", &recv_at_host_dtypes)); EXPECT_EQ(recv_at_host_dtypes.size(), 3); EXPECT_EQ(recv_at_host_dtypes[0], DT_INT32); EXPECT_EQ(recv_at_host_dtypes[1], DT_FLOAT); EXPECT_EQ(recv_at_host_dtypes[2], DT_INT32);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 41K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_generated.h
typedef OperatorT NativeTableType; typedef OperatorBuilder Builder; enum FlatBuffersVTableOffset FLATBUFFERS_VTABLE_UNDERLYING_TYPE { VT_OPCODE_INDEX = 4, VT_INPUTS = 6, VT_OUTPUTS = 8, VT_BUILTIN_OPTIONS_TYPE = 10, VT_BUILTIN_OPTIONS = 12, VT_CUSTOM_OPTIONS = 14, VT_CUSTOM_OPTIONS_FORMAT = 16, VT_MUTATING_VARIABLE_INPUTS = 18, VT_INTERMEDIATES = 20,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 1M bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
"tf._SomeOp"(%0#1, %0#0) : (tensor<!tf_type.resource>, tensor<f32>) -> () // CHECK: "tf._SomeOp"(%[[ARG2]], %[[IF_OUTPUT]]) : (tensor<!tf_type.resource>, tensor<f32>) -> () "tf._SomeOp"(%0#3, %0#2) : (tensor<!tf_type.resource>, tensor<f32>) -> () // CHECK: return %[[IF_OUTPUT]] : tensor<f32> func.return %0#2 : tensor<f32> } // CHECK-LABEL: func @eliminatePassThroughCaseRegion(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/extract_outside_compilation.mlir
// CHECK: "tf._XlaSendFromHostV2"(%[[E_OUTPUT]], %[[PROGRAM_OUTPUT]], %[[DEVICE_ORDINAL]]) // CHECK: %[[F_OUTPUT:[0-9]*]] = "tf.F"(%[[C_OUTPUT]]#1) // CHECK: "tf._XlaSendFromHostV2"(%[[F_OUTPUT]], %[[PROGRAM_OUTPUT]], %[[DEVICE_ORDINAL]]) // CHECK: %[[RECV_OUTPUT2:[0-9]*]]:2 = "tf._XlaRecvAtHostV2"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:59:10 UTC 2023 - 129.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops.td
Res<Variadic<TF_Tensor>, [{A list of tensors that will be returned to the device.}]>:$outputs ); TF_DerivedOperandTypeListAttr Tinputs = TF_DerivedOperandTypeListAttr<0>; TF_DerivedResultTypeListAttr Toutputs = TF_DerivedResultTypeListAttr<0>; } def TF_ConfigureAndInitializeGlobalTPUOp : TF_Op<"ConfigureAndInitializeGlobalTPU", []> { let summary = [{ An op that initialize the TPU system in a multi-client set up.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 04:08:35 UTC 2024 - 90.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
return %ret : tensor<10x10xf32> } ''' @tf.function def foo(x, y): return mlir_passthrough_op([x, y], mlir_module, Toutputs=[tf.float32]) graph_def = foo.get_concrete_function(tf.TensorSpec([10], tf.float32), tf.TensorSpec([10], tf.float32)).graph.as_graph_def() ``` }]; let arguments = (ins
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)