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Results 21 - 30 of 33 for tfdtype$DT_INT32 (0.25 sec)
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tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/tf_add.mlir
attributes {tf.entry_function = {inputs = "input0,input1", outputs = "Add"}} { %graph = tf_executor.graph { %2:2 = tf_executor.island wraps "tf.Add"(%arg0, %arg1) {T = "tfdtype$DT_INT32", device = ""} : (tensor<10xi32>, tensor<10xi32>) -> tensor<10xi32> loc("Add") tf_executor.fetch %2 : tensor<10xi32> } func.return %graph : tensor<10xi32> } // CHECK: node {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 17 22:54:55 UTC 2023 - 1.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/tf-legacy-call.mlir
// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s func.func @main() { tf_executor.graph { %outputs, %control = tf_executor.island wraps "tf.Const"() {device = "", dtype = "tfdtype$DT_INT32", name = "Constant", value = dense<0> : tensor<i32>} : () -> tensor<i32> %outputs_0, %control_1 = tf_executor.island wraps "tf.LegacyCall"(%outputs) {_tpu_replicate = "cluster", device = "", f = @foo0} : (tensor<i32>) -> tensor<i32> tf_executor.fetch }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 1.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/function-order.mlir
// CHECK-NEXT: } // CHECK-NEXT: } // CHECK: } // CHECK-NEXT: } func.func @bar() { tf_executor.graph { %0:2 = tf_executor.island wraps "tf.Const"() {dtype = "tfdtype$DT_INT32", name = "tf.Const", value = dense<1> : tensor<i32>} : () -> tensor<i32> %1:2 = tf_executor.island wraps "tf.Empty"(%0#0) {dtype = "tfdtype$DT_FLOAT", name = "tf.Empty"} : (tensor<i32>) -> tensor<*xf32> tf_executor.fetch
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 17 18:52:47 UTC 2023 - 2.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/device-arg-retval-attr.mlir
attributes {tf.entry_function = {inputs = "args_0,args_1", outputs = "rets_0,rets_1"}} { %0:2 = tf_executor.graph { %1:3 = tf_executor.island wraps "tf.IdentityN"(%arg0, %arg1) {T = ["tfdtype$DT_FLOAT", "tfdtype$DT_INT32"], device = "", name = "identity"} : (tensor<*xf32>, tensor<2x4x6x8xi32>) -> (tensor<*xf32>, tensor<2x4x6x8xi32>) tf_executor.fetch %1#0, %1#1 : tensor<*xf32>, tensor<2x4x6x8xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 12:28:56 UTC 2022 - 1.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/func_list_attr.mlir
// CHECK-NEXT: tensor_shape { // CHECK-NEXT: } // CHECK-NEXT: } // CHECK-NEXT: } // CHECK-NEXT: } // CHECK: } %0:2 = tf_executor.island wraps "tf.Const"() {device = "", dtype = "tfdtype$DT_INT32", value = dense<0> : tensor<i32>} : () -> tensor<i32> loc("predicate") // CHECK: node { // CHECK-NEXT: name: "Case" // CHECK-NEXT: op: "Case" // CHECK-NEXT: input: "predicate" // CHECK: attr {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 2.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/decompose_resource_ops.mlir
// ALWAYS-DECOMPOSE-NOT: "tf.AssignAddVariableOp" "tf.AssignAddVariableOp"(%0, %1) {dtype = "tfdtype$DT_INT32"} : (tensor<*x!tf_type.resource<tensor<2x8xi32>>>, tensor<i32>) -> () // CHECK: tf_device.cluster "tf_device.cluster"() ({ // CHECK-NOT: "tf.AssignAddVariableOp" "tf.AssignAddVariableOp"(%0, %1) {dtype = "tfdtype$DT_INT32"} : (tensor<*x!tf_type.resource<tensor<2x8xi32>>>, tensor<i32>) -> () tf_device.return }) : () -> ()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 19:47:48 UTC 2024 - 51.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/constant-fold.mlir
%0 = "tf.Shape"(%arg0) {T = "tfdtype$DT_FLOAT", output = "tfdtype$DT_INT32"} : (tensor<f32>) -> tensor<0xi32> // Result shape need not be static. Folding harness uses TensorFlow constant // in that case. // CHECK-DAG: "tf.Const"() <{value = dense<[1, 32, 32, 16]> : tensor<4xi32>}> : () -> tensor<?xi32> %1 = "tf.Shape"(%arg1) {T = "tfdtype$DT_FLOAT", output = "tfdtype$DT_INT32"} : (tensor<1x32x32x16xf32>) -> tensor<?xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 31 23:22:24 UTC 2024 - 36.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
^bb0(%arg0: tensor<1x32x32x16xf32>, %arg1: tensor<*xf32>): %0 = "tf.Shape"(%arg0) {T = "tfdtype$DT_FLOAT", output = "tfdtype$DT_INT32"} : (tensor<1x32x32x16xf32>) -> tensor<4xi32> %1 = "tf.Shape"(%arg1) {T = "tfdtype$DT_FLOAT", output = "tfdtype$DT_INT32"} : (tensor<*xf32>) -> tensor<?xi32> func.return %0, %1 : tensor<4xi32>, tensor<?xi32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/lower-static-tensor-list.mlir
%cst_1 = arith.constant dense<-1> : tensor<i32> %0 = "tf.TensorListFromTensor"(%arg0, %cst) : (tensor<2x3xf32>, tensor<1xi32>) -> tensor<!tf_type.variant<tensor<3xf32>>> %1:2 = "tf.While"(%cst_0, %0) {T = ["tfdtype$DT_INT32", "tfdtype$DT_VARIANT"], body = @tensorlistWhileBody, cond = @tensorlistWhileCond, is_stateless = false} : (tensor<i32>, tensor<!tf_type.variant<tensor<3xf32>>>) -> (tensor<i32>, tensor<!tf_type.variant<tensor<*xf32>>>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 39.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_executor_ops.td
REGISTER_OP("Exit") .Input("data: T") .Output("output: T") .Attr("T: type") For example: %1:2 = tf_executor.Exit %0#0 : tensor<*xi32> {T: "tfdtype$DT_INT32"} Note: Additional result corresponds to the control output. }]; let arguments = (ins AnyType:$data, Variadic<TfeControlType>:$controlInputs ); let results = (outs
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 23 19:35:12 UTC 2023 - 22K bytes - Viewed (0)