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tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
func.func @OneHot(%arg0: tensor<3xi32>, %arg1: tensor<i32>, %arg2: tensor<f32>, %arg3: tensor<f32>) -> tensor<*xf32> { %0 = "tf.OneHot"(%arg0, %arg1, %arg2, %arg3) {axis = -1 : i64} : (tensor<3xi32>, tensor<i32>, tensor<f32>, tensor<f32>) -> tensor<*xf32> func.return %0: tensor<*xf32> // CHECK-LABEL: OneHot
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/annotate-parameter-replication.mlir
%arg2: tensor<!tf_type.resource<tensor<?xi32>>>, %arg3: tensor<!tf_type.resource<tensor<?xi32>>>, %arg4: tensor<!tf_type.resource<tensor<?xi32>>>, %arg5: tensor<!tf_type.resource<tensor<?xi32>>>) -> tensor<?xi32> { %3:2 = tf_device.replicate( [%arg0, %arg1] as %ri_0: tensor<!tf_type.resource<tensor<?xi32>>>, [%arg2, %arg3] as %ri_1: tensor<!tf_type.resource<tensor<?xi32>>>,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jul 25 02:54:34 UTC 2023 - 4.1K bytes - Viewed (0) -
src/cmd/compile/internal/ssa/_gen/AMD64Ops.go
{name: "SHRXLloadidx4", argLength: 4, reg: gp21shxloadidx, asm: "SHRXL", scale: 4, aux: "SymOff", typ: "Uint32", faultOnNilArg0: true, symEffect: "Read"}, // unsigned *(arg0+4*arg1+auxint+aux) >> arg2, arg3=mem, shift amount is mod 32
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Aug 04 16:40:24 UTC 2023 - 98K bytes - Viewed (1) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
reducer(%arg1: tensor<i32>, %arg3: tensor<i32>) (%arg2: tensor<i32>, %arg4: tensor<i32>) { %6 = mhlo.compare GE, %arg1, %arg3 : (tensor<i32>, tensor<i32>) -> tensor<i1> %7 = mhlo.select %6, %arg1, %arg3 : tensor<i1>, tensor<i32> %8 = mhlo.compare EQ, %arg1, %arg3 : (tensor<i32>, tensor<i32>) -> tensor<i1> %9 = mhlo.minimum %arg2, %arg4 : tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
platforms/software/dependency-management/src/test/groovy/org/gradle/api/internal/artifacts/metadata/ComponentArtifactIdentifierSerializerTest.groovy
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue Oct 10 21:10:11 UTC 2023 - 1.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/mlrt/tpu_conversions.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Oct 04 21:25:31 UTC 2023 - 11K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/split_into_island_per_op.mlir
tf_executor.graph { tf_executor.island { // CHECK: %{{.*}}, %[[CONTROL:[^ ,]*]] = tf_executor.island wraps "tf.GeneratorDataset" %gen0 = "tf.GeneratorDataset"(%str, %arg0, %arg1, %arg2, %arg3) { finalize_func = @__finalize_func_790,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 20.2K bytes - Viewed (0) -
platforms/software/dependency-management/src/test/groovy/org/gradle/api/internal/artifacts/ivyservice/resolveengine/DependencyGraphBuilderTest.groovy
def componentId = DefaultModuleComponentIdentifier.newId(id) def artifacts = [new PublishArtifactLocalArtifactMetadata(componentId, new DefaultPublishArtifact("art1", "zip", "art", null, new Date(), new File("art1.zip")))] def defaultVariant = createConfigurationMetadata("default", componentId, [], artifacts)
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed May 22 19:04:04 UTC 2024 - 45.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/device-transform-gpu.mlir
// CHECK: } // ----- func.func @padConcatTo4D(%arg0: tensor<384x384xf32>, %arg1: tensor<384x384xf32>, %arg2: tensor<384x384xf32>, %arg3: tensor<384x384xf32>) -> tensor<1536x384xf32> { %0 = "tfl.concatenation"(%arg0, %arg1, %arg2, %arg3) {axis = 0 : i32, fused_activation_function = "NONE"} : (tensor<384x384xf32>, tensor<384x384xf32>, tensor<384x384xf32>, tensor<384x384xf32>) -> tensor<1536x384xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 15.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/README.md
``` func @simpleTest(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>, %arg2: tensor<1xf32>, %arg3: tensor<1xf32>) -> tensor<2x1xf32> { %0 = call @func_0_GPU_FLOAT(%arg0, %arg1, %arg2) {tac.device = "GPU", tac.inference_type = "FLOAT", tac.interface_name = "func_0"} : (tensor<1xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 29 18:32:13 UTC 2022 - 11.6K bytes - Viewed (0)