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Results 1 - 10 of 14 for 2x1xi64 (0.15 sec)
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tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-collective.mlir
%group_assignment = "tf.Const"() { value = dense<[[0],[1]]> : tensor<2x1xi32> } : () -> tensor<2x1xi32> // CHECK: "mhlo.all_reduce" // CHECK{LITERAL}: replica_groups = dense<[[0], [1]]> : tensor<2x1xi64> // CHECK-NOT: channel_handle // CHECK: mhlo.add %0 = "tf.XlaAllReduce"(%input, %group_assignment) {reduce_op = "Add", mode = "CrossReplica"} : (tensor<f32>, tensor<2x1xi32>) -> tensor<f32> func.return %0 : tensor<f32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 15.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_space_to_depth_pass.mlir
%11 = "tf.Pad"(%arg0, %10) : (tensor<2x224x224x3xf32>, tensor<4x2xi32>) -> tensor<2x230x230x3xf32> %12 = "tf.Cast"(%arg1) {Truncate = false} : (tensor<2x1xf32>) -> tensor<2x1xi64> %13 = "tf.Reshape"(%12, %9) : (tensor<2x1xi64>, tensor<1xi32>) -> tensor<2xi64> %14 = "tf.Squeeze"(%arg1) {squeeze_dims = [-1]} : (tensor<2x1xf32>) -> tensor<2xf32> // CHECK: "tf.Conv2D" // CHECK-SAME: strides = [1, 1, 1, 1]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 37.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
func.func @xla_spmd_full_to_shard_shape(%arg0: tensor<2x2xi64>) -> (tensor<1x2xi64>) { // CHECK: %[[SHARDING:.*]] = mhlo.custom_call @Sharding(%arg0) {backend_config = "", mhlo.sharding = "{devices=[2,1]0,1}"} : (tensor<2x2xi64>) -> tensor<2x2xi64> // CHECK: %[[MANUAL:.*]] = mhlo.custom_call @SPMDFullToShardShape(%[[SHARDING]]) {backend_config = "", mhlo.sharding = "{manual}"} : (tensor<2x2xi64>) -> tensor<1x2xi64> // CHECK: return %[[MANUAL]]
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/mlir/lite/tests/flatbuffer2mlir/vhlo.mlir
func.func @dynamic_update_slice(%arg0: tensor<4x4xi64>, %arg1: tensor<2x3xi64>, %arg2: tensor<i64>, %arg3: tensor<i64>) -> tensor<4x4xi64> { %0 = "vhlo.dynamic_update_slice_v1"(%arg0, %arg1, %arg2, %arg3) : (tensor<4x4xi64>, tensor<2x3xi64>, tensor<i64>, tensor<i64>) -> tensor<4x4xi64> return %0 : tensor<4x4xi64> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 14 19:15:40 UTC 2024 - 31.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-prefer-tf2xla.mlir
func.func @slice_variable_start(%arg0: tensor<3x4xi32>, %arg1: tensor<2xi64>) -> tensor<1x4xi32> { // CHECK: %[[SLICED_START1:.*]] = "mhlo.slice"(%arg1) // CHECK-DAG-SAME: {limit_indices = dense<1> : tensor<1xi64>, // CHECK-DAG-SAME: start_indices = dense<0> : tensor<1xi64>, // CHECK-DAG-SAME: strides = dense<1> : tensor<1xi64>} : (tensor<2xi64>) -> tensor<1xi64>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 15.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_op_with_region.mlir
// CHECK: %[[REDUCE:.*]] = "stablehlo.reduce_window"(%[[CALL]], %[[Q0]]) // CHECK{LITERAL}: padding = dense<[[0, 0], [1, 1], [1, 1], [0, 0]]> : tensor<4x2xi64> // CHECK-SAME: window_dimensions = array<i64: 1, 3, 3, 1> // CHECK: %[[ARG1:.*]]: tensor<!quant.uniform<i8:f32, 3.000000e-01:1>>, %[[ARG2:.*]]: tensor<!quant.uniform<i8:f32, 3.000000e-01:1>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 18.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-binary-elementwise.mlir
// CHECK-NEXT: %[[LHS_BCAST:.+]] = "mhlo.dynamic_broadcast_in_dim"(%arg0, %[[RESULT_EXTENTS]]) <{broadcast_dimensions = dense<1> : tensor<1xi64>}> // CHECK-NEXT: %[[RHS_BCAST:.+]] = "mhlo.dynamic_broadcast_in_dim"(%arg1, %[[RESULT_EXTENTS]]) <{broadcast_dimensions = dense<[0, 1]> : tensor<2xi64>}> // CHECK-NEXT: %[[RESULT:.+]] = mhlo.add %[[LHS_BCAST]], %[[RHS_BCAST]] : tensor<?x?xi32> // CHECK-NEXT: shape.assuming_yield %[[RESULT]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 18.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_sharding_identification.mlir
} : (tensor<2x7xi64>) -> (tensor<2x7xi32>) %1 = "tf.Identity"(%0) : (tensor<2x7xi32>) -> tensor<2x7xi32> func.return %1 : tensor<2x7xi32> } // CHECK-LABEL: func @func // CHECK-SAME: %arg0: tensor<2x7xi64> {mhlo.sharding = "\08\03\1A\03\01\01\02\22\02\00\01B\01\00" func.func @func(%arg0: tensor<2x7xi64>) -> (tensor<2x7xi32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 20 19:07:52 UTC 2024 - 47.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/const-fold.mlir
// CHECK: return %[[CST]] } // CHECK-LABEL: @ShapeOpI64 func.func @ShapeOpI64(%arg0 : tensor<576x72xf32>) -> tensor<2xi64> { %0 = "tfl.shape"(%arg0) : (tensor<576x72xf32>) -> tensor<2xi64> func.return %0 : tensor<2xi64> // CHECK: %[[CST:.*]] = arith.constant dense<[576, 72]> : tensor<2xi64> // CHECK: return %[[CST]] } // CHECK-LABEL: @ConstFoldStridedSlice
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 45.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant.mlir
%cst_0 = arith.constant dense<[2, -1]> : tensor<2xi64> %0 = "tf.FakeQuantWithMinMaxVars"(%arg0, %arg1, %arg2) {num_bits = 5, narrow_range = false} : (tensor<1x2xf32>, tensor<f32>, tensor<f32>) -> tensor<1x2xf32> %1 = "tf.Reshape"(%0, %cst_0) : (tensor<1x2xf32>, tensor<2xi64>) -> tensor<2x1xf32> %2 = "tf.Reshape"(%0, %cst_0) : (tensor<1x2xf32>, tensor<2xi64>) -> tensor<2x1xf32> func.return %1, %2 : tensor<2x1xf32>, tensor<2x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.4K bytes - Viewed (0)