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tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/partial-device-name.pbtxt
op: "Add" input: "input0" input: "input1" # If device type or id doesn't exist, assign a default one (device:CPU:0). device: "/job:localhost/replica:0/task:0" attr { key: "T" value { type: DT_INT32 } } } node { name: "Mul" op: "Mul" input: "Add" input: "Add" # Empty device name should be kept untouched. device: "" attr { key: "T" value {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Feb 26 20:48:36 UTC 2021 - 1.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/resource-device-inference.mlir
// RUN: tf-opt -split-input-file -verify-diagnostics -tf-resource-device-inference %s | FileCheck %s !tf_res = tensor<*x!tf_type.resource<tensor<32xf32>>> // Tests that the pass can correctly propagate device attributes inside the same // function. // CHECK-LABEL: func @propagate_in_function func.func @propagate_in_function( %arg0: !tf_res {tf.device = "/TPU:0"}, %arg1: !tf_res {tf.device = "/TPU:1"}) { tf_executor.graph {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 17 16:01:45 UTC 2022 - 18.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/e2e/device-transform-nnapi.mlir
// RUN: tac-translate -input-mlir -output-mlir -device-specs=NNAPI %s -o - 2>&1 | FileCheck %s module { // CHECK-LABEL: main func.func @main(%arg0: tensor<4xf32>, %arg1: tensor<4xf32>) -> tensor<4xf32> { %0 = "tfl.squared_difference"(%arg0, %arg1) : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> func.return %0 : tensor<4xf32> // CHECK: [[VAL_0:%.*]] = tfl.sub %arg0, %arg1 {fused_activation_function = "NONE"} : tensor<4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/device-arg-retval-attr.mlir
// Verify arg/ret attributes are exported as device assignment for arg/retval // nodes. module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 121 : i32}} { func.func @main(%arg0: tensor<*xf32> {tf.device = "/CPU:0"}, %arg1: tensor<2x4x6x8xi32>) -> (tensor<*xf32>, tensor<2x4x6x8xi32> {tf.device = "/CPU:1"})
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/graphdef2mlir/device-arg-retval-attr.pbtxt
# Verify arg and ret devices are added as arg and ret attributes. # CHECK-LABEL: func @main # CHECK-SAME: (%[[ARG_0:[a-z0-9]+]]: tensor<*xf32> {tf.device = "/CPU:0"}, %[[ARG_1:[a-z0-9]+]]: tensor<2x4x6x8xi32>) -> (tensor<*xf32>, tensor<*xi32> {tf.device = "/CPU:1"}) node { name: "args_0" op: "_Arg" device: "/CPU:0" attr { key: "T" value { type: DT_FLOAT } } attr { key: "index" value {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Dec 07 17:45:22 UTC 2020 - 1.6K bytes - Viewed (0) -
src/cmd/link/internal/ld/data.go
// the groundwork for turning a given relocation into an external reloc // (to be applied by the external linker). For more on how relocations // work in general, see // // "Linkers and Loaders", by John R. Levine (Morgan Kaufmann, 1999), ch. 7 // // This is a performance-critical function for the linker; be careful // to avoid introducing unnecessary allocations in the main loop.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Jun 12 15:10:50 UTC 2024 - 100.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/device-transform-gpu.mlir
// RUN: tac-opt-all-backends -tfl-device-transform-gpu %s -split-input-file -verify-diagnostics | FileCheck %s func.func @pack(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>) -> tensor<2x1xf32> { %0 = "tfl.pack"(%arg0, %arg1) {axis = 0 : i32, values_count = 2 : i32} : (tensor<1xf32>, tensor<1xf32>) -> tensor<2x1xf32> func.return %0 : tensor<2x1xf32> } // CHECK: func @pack(%[[VAL_0:.*]]: tensor<1xf32>, %[[VAL_1:.*]]: tensor<1xf32>) -> tensor<2x1xf32> {
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/tests/device-transform-nnapi.mlir
// RUN: tac-opt-all-backends -tfl-device-transform-nnapi %s -split-input-file -verify-diagnostics | FileCheck %s func.func @mean_4d_keepdim(%arg0: tensor<1x48x48x512xf32>) -> tensor<1x1x1x512xf32> { %cst = arith.constant dense<[1, 2]> : tensor<2xi32> %0 = "tfl.mean"(%arg0, %cst) {keep_dims = true} : (tensor<1x48x48x512xf32>, tensor<2xi32>) -> tensor<1x1x1x512xf32> func.return %0 : tensor<1x1x1x512xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 4.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/passes/clustering_passes.h
#define GEN_PASS_DECL_TPUCLUSTERFORMATIONPASS #define GEN_PASS_DECL_TPUEXTRACTHEADTAILOUTSIDECOMPILATIONPASS #define GEN_PASS_DECL_TPUEXTRACTOUTSIDECOMPILATIONPASS #define GEN_PASS_DECL_TPUSHARDINGIDENTIFICATIONPASS #define GEN_PASS_DECL_VERIFYCLUSTERINGPASS #define GEN_PASS_DECL_XLACLUSTERFORMATIONPASS #include "tensorflow/compiler/mlir/tf2xla/internal/passes/clustering_passes.h.inc" } // namespace internal } // namespace tf2xla
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 02:01:13 UTC 2024 - 3.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/passes.h
#define GEN_PASS_DECL_LAYOUTASSIGNMENTPASS #define GEN_PASS_DECL_LEGALIZEHLOTOTFPASS #define GEN_PASS_DECL_LEGALIZETFGTOTFPASS #define GEN_PASS_DECL_LOCALIZEVARHANDLESPASS #define GEN_PASS_DECL_LOWERQUANTIZEDPASS #define GEN_PASS_DECL_MARKINPUTOUTPUTALIASESPASS #define GEN_PASS_DECL_MATERIALIZEPASSTHROUGHOP #define GEN_PASS_DECL_MERGECONTROLFLOWPASS #define GEN_PASS_DECL_MOVETRANSPOSESPASS #define GEN_PASS_DECL_ORDERBYDIALECTPASS
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 31.8K bytes - Viewed (0)