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tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
func.func @add_v2_uint32(%arg0: tensor<ui32>, %arg1: tensor<ui32>) -> tensor<ui32> { %0 = "tf.AddV2"(%arg0, %arg1) : (tensor<ui32>, tensor<ui32>) -> tensor<ui32> func.return %0 : tensor<ui32> // CHECK-LABEL: add_v2_uint32 // CHECK: %[[CAST:.*]] = "tf.Cast"(%arg0) <{Truncate = false}> : (tensor<ui32>) -> tensor<i32> // CHECK: %[[CAST1:.*]] = "tf.Cast"(%arg1) <{Truncate = false}> : (tensor<ui32>) -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 59.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/mlrt/while_to_map_fn.mlir
%outputs_0 = "tf.Const"() {value = dense<0> : tensor<i32>} : () -> tensor<i32> %outputs_2 = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32> %outputs_4 = "tf.Identity"(%arg0) {device = ""} : (tensor<*xi32>) -> tensor<*xi32> %outputs_6 = "tf.AddV2"(%outputs_4, %outputs_2) {device = ""} : (tensor<*xi32>, tensor<i32>) -> tensor<*xi32> %outputs_8 = "tf.Identity"(%arg1) {device = ""} : (tensor<*xi32>) -> tensor<*xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 06:40:22 UTC 2024 - 68.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_cluster_formation.mlir
%3:2 = "tf.TPUReplicatedOutput"(%2#0) : (tensor<?xi32>) -> (tensor<?xi32>, tensor<?xi32>) %5:2 = "tf.TPUPartitionedOutputV2"(%3#0) {_XlaSharding = "", partition_dims = []} : (tensor<?xi32>) -> (tensor<?xi32>, tensor<?xi32>) %7:2 = "tf.TPUPartitionedOutputV2"(%3#1) {_XlaSharding = "", partition_dims = []} : (tensor<?xi32>) -> (tensor<?xi32>, tensor<?xi32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 53.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/raise-target-subgraphs.mlir
}) {tac.device = "CPU", tac.inference_type = "FLOAT"} : (tensor<i32>, tensor<i32>, tensor<?xi32>, tensor<?xi32>, tensor<!tf_type.variant<tensor<?x!tf_type.string>>>, tensor<!tf_type.variant<tensor<?x!tf_type.string>>>, tensor<!tf_type.variant<tensor<?xi32>>>, tensor<!tf_type.variant<tensor<?xi32>>>) -> (tensor<i32>, tensor<i32>, tensor<?xi32>, tensor<?xi32>, tensor<!tf_type.variant<tensor<?x!tf_type.string>>>,...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 74.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/decompose_resource_ops.mlir
// CHECK: [[TENSOR:%.+]] = "tf.TensorScatterAdd"([[READ]], [[EXPAND]], [[UPDATE]]) : (tensor<*xi32>, tensor<?x1xi32>, tensor<?x?x?xi32>) -> tensor<*xi32> // CHECK: "tf.AssignVariableOp"([[VAR]], [[TENSOR]]) "tf.ResourceScatterAdd"(%resource, %indices, %updates) : (tensor<*x!tf_type.resource<tensor<*xi32>>>, tensor<?xi32>, tensor<?x?x?xi32>) -> () 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/resource_op_lifting.mlir
"tf.AssignVariableOp"(%1, %3) {dtype = i32} : (tensor<*x!tf_type.resource<tensor<*xi32>>>, tensor<*xi32>) -> () %4 = "tf.ReadVariableOp"(%1) {dtype = i32} : (tensor<*x!tf_type.resource<tensor<*xi32>>>) -> tensor<*xi32> tf_device.return %4 : tensor<*xi32> }) {cluster_attr = "cluster_attr"} : () -> tensor<*xi32> // CHECK: return %[[CLUSTER_RES]] return %1 : tensor<*xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 74K bytes - Viewed (0) -
tensorflow/compiler/mlir/g3doc/_includes/tf_passes.md
```mlir %2 = "tf.A"(%arg0) : (tensor<?xi32>) -> tensor<?xi32> %3 = "tf.B"(%2) {device = "tpu0"} : (tensor<?xi32>) -> tensor<?xi32> %4 = "tf.C"(%2, %3) {device = "tpu0"} : (tensor<?xi32>, tensor<?xi32>) -> tensor<?xi32> %5 = "tf.D"(%4) : (tensor<?xi32>) -> tensor<?xi32> ``` After the pass, we will have: ```mlir %0 = "tf.A"(%arg0) : (tensor<?xi32>) -> tensor<?xi32> %1 = "tf_device.launch"() ( {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 02 02:26:39 UTC 2023 - 96.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir
%31 = "tf.Mul"(%30, %cst_7) : (tensor<1xi32>, tensor<i32>) -> tensor<1xi32> %32 = "tf.Add"(%24, %27) : (tensor<2x?x1xi32>, tensor<2x1x?xi32>) -> tensor<2x?x?xi32> %33 = "tf.Sub"(%32, %31) : (tensor<2x?x?xi32>, tensor<1xi32>) -> tensor<2x?x?xi32> %34 = "tf.Sub"(%21, %33) : (tensor<2x?x?xi32>, tensor<2x?x?xi32>) -> tensor<2x?x?xi32> %35 = "tf.Cast"(%34) {Truncate = false} : (tensor<2x?x?xi32>) -> tensor<2x?x?xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 81K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/lower_tf.mlir
// CHECK-DAG: %[[RANGE_M:.*]] = "tf.Range"(%[[ZERO]], %[[M]], %[[ONE]]) : (tensor<i32>, tensor<i32>, tensor<i32>) -> tensor<?xi32> // CHECK-DAG: %[[RANGE_N:.*]] = "tf.Range"(%[[ZERO]], %[[N]], %[[ONE]]) : (tensor<i32>, tensor<i32>, tensor<i32>) -> tensor<?xi32> // CHECK-DAG: %[[EXPAND_DIMS:.*]] = "tf.ExpandDims"(%[[RANGE_M]], %[[NEG_ONE]]) : (tensor<?xi32>, tensor<i32>) -> tensor<?x1xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 92K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
name = "avgpool", filter_height = 3 : i32, filter_width = 6 : i32, fused_activation_function = "NONE", padding = "VALID", stride_h = 3 : i32, stride_w = 1 : i32 } : (tensor<1x224x224x3xf32>) -> tensor<1x224x224x3xf32> %6 = "tfl.conv_2d"(%5, %4, %cst) { dilation_h_factor = 1 : i32, dilation_w_factor = 1 : i32, fused_activation_function = "NONE", padding = "SAME", stride_h = 2 : i32, stride_w = 2 : i32
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0)