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tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
func.return %0: tensor<4x4x4xf32> } // CHECK-LABEL: func @ternary_op func.func @ternary_op(%arg0: tensor<2xi1>, %arg1: tensor<2xi32>, %arg2: tensor<2xi32>) -> tensor<2xi32> { // CHECK: mhlo.select %arg0, %arg1, %arg2 %0 = "tf.SelectV2"(%arg0, %arg1, %arg2) : (tensor<2xi1>, tensor<2xi32>, tensor<2xi32>) -> tensor<2xi32> func.return %0: tensor<2xi32> } // CHECK-LABEL: func @convert
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 38.6K bytes - Viewed (0) -
tensorflow/compiler/jit/rearrange_function_argument_pass_test.cc
// "arg0" (T=DT_RESOURCE), "arg1" (T=DT_RESOURCE), "arg2" (T=DT_INT32) // "ret0" = "arg1" // "ret1" = "arg0" tensorflow::Scope s = tensorflow::Scope::NewRootScope(); Output arg0 = ops::_Arg(s.WithOpName("arg0"), DT_RESOURCE, 0); Output arg1 = ops::_Arg(s.WithOpName("arg1"), DT_RESOURCE, 1); Output arg2 = ops::_Arg(s.WithOpName("arg2"), DT_INT32, 2);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Feb 09 11:36:41 UTC 2024 - 10.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_update_embedding_enqueue_op_inputs.mlir
// CHECK-SAME: %[[ARG_6:[a-z0-9]*]]: tensor<!tf_type.string> // CHECK-SAME: %[[ARG_7:[a-z0-9]*]]: tensor<!tf_type.string> func.func @check_enqueue_ops_update_for_eval(%arg0: tensor<?x2xi32>, %arg1: tensor<?x2xi32>, %arg2 :tensor<?x2xi32>, %arg3: tensor<?xi32>, %arg4: tensor<?xi32>, %arg5: tensor<?xi32>, %arg6: tensor<!tf_type.string>, %arg7: tensor<!tf_type.string>) -> () { // CHECK: %[[CONST_0:.*]] = "tf.Const"()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 5.3K bytes - Viewed (0) -
platforms/native/language-native/src/test/groovy/org/gradle/language/assembler/plugins/AssemblerPluginTest.groovy
emptyOne(AssemblerSourceSet) {} } binaries.all { NativeBinary binary -> binary.assembler.args "ARG1", "ARG2" } } } } } then: NativeExecutableBinarySpec binary = realizeBinaries().testExecutable
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Nov 16 20:20:03 UTC 2023 - 6.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/split-merged-operands.mlir
// RUN: tf-opt -tfl-split-merged-operands %s | FileCheck %s func.func @testSingleLstm(%arg0: tensor<4x4xf32>, %arg1: tensor<4xf32>, %arg2: tensor<4x4x4xf32>) -> tensor<4x4x4xf32> { // CHECK-LABEL: testSingleLstm // CHECK-DAG: %[[CST_0:.*]] = "tfl.pseudo_const"() <{value = dense<0.000000e+00> : tensor<4x4xf32>}> : () -> tensor<4x4xf32> // CHECK-DAG: %[[CST_1:.*]] = "tfl.pseudo_const"() <{value = dense<0.000000e+00> : tensor<4x4xf32>}> : () -> tensor<4x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 7.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/decompose_reduce_dataset.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Aug 18 17:16:34 UTC 2022 - 9.8K bytes - Viewed (0) -
staging/src/k8s.io/apiserver/pkg/cel/library/authz.go
func resourceCheckNamespace(arg1, arg2 ref.Val) ref.Val { resourceCheck, ok := arg1.(resourceCheckVal) if !ok { return types.MaybeNoSuchOverloadErr(arg1) } namespace, ok := arg2.Value().(string) if !ok { return types.MaybeNoSuchOverloadErr(arg1) } result := resourceCheck result.namespace = namespace return result } func resourceCheckName(arg1, arg2 ref.Val) ref.Val {
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed Aug 23 21:31:27 UTC 2023 - 21.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir
%0 = stablehlo.convert %arg0 : (tensor<1x3x3x4xf32>) -> tensor<1x3x3x4xi8> return %0 : tensor<1x3x3x4xi8> } // CHECK: @uniform_quantize_0 func.func private @uniform_quantize_1(%arg0: tensor<1x3x3x4xf32>, %arg1: tensor<1x1x1x1xf32>, %arg2: tensor<1x1x1x1xi8>) -> tensor<1x3x3x4xi8> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 37K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops_large_constants.mlir
%0 = "tf.Div"(%arg0, %arg1) : (tensor<1x2240x2240x3xf32>, tensor<f32>) -> tensor<1x2240x2240x3xf32> %1 = "tf.Round"(%0) : (tensor<1x2240x2240x3xf32>) -> tensor<1x2240x2240x3xf32> %2 = "tf.Cast"(%1) : (tensor<1x2240x2240x3xf32>) -> tensor<1x2240x2240x3xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 5.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/target-annotation.mlir
func.func @testConv(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<16x3x3x3xf32>, %arg2: tensor<16xf32>) -> tensor<256x30x30x16xf32> { // CHECK: tac.device = "GPU", tac.inference_type = "FLOAT"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 19 19:32:06 UTC 2023 - 6.2K bytes - Viewed (0)