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Results 31 - 40 of 53 for 4x6xi32 (0.1 sec)
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tensorflow/compiler/mlir/lite/tests/shape-inference.mlir
module attributes {tf.versions = {producer = 888 : i32}} { func.func @testReshapeShapeInference(%arg0: tensor<3x4xi32>) -> tensor<*xi32> { %cst = arith.constant dense<[1, 6, 2]> : tensor<3xi32> // CHECK: "tfl.reshape"(%arg0, %cst) : (tensor<3x4xi32>, tensor<3xi32>) -> tensor<1x6x2xi32> %0 = "tfl.reshape"(%arg0, %cst) : (tensor<3x4xi32>, tensor<3xi32>) -> tensor<*xi32> func.return %0 : tensor<*xi32> } } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-binary-elementwise.mlir
// CHECK-NEXT: mhlo.xor %0 = "tf.BitwiseXor"(%arg0, %arg1) : (tensor<4xui32>, tensor<4xui32>) -> tensor<4xui32> func.return %0: tensor<4xui32> } // CHECK-LABEL: func @bitwise_and func.func @bitwise_and(%arg0: tensor<4xi32>, %arg1: tensor<4xi32>) -> tensor<4xi32> { // CHECK-NEXT: mhlo.and %0 = "tf.BitwiseAnd"(%arg0, %arg1) : (tensor<4xi32>, tensor<4xi32>) -> tensor<4xi32>
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-resource-read-for-write.mlir
func.return } func.func private @write_chain_func(%arg0: tensor<1xf32>) -> (tensor<1xf32>) { %cst = "tf.Const"() <{value = dense<[[0, 1]]> : tensor<1x2xi32>}> : () -> tensor<1x2xi32> %0 = "tf.XlaAllReduce"(%arg0, %cst) <{mode = "CrossReplica", reduce_op = "Add"}> : (tensor<1xf32>, tensor<1x2xi32>) -> tensor<1xf32> return %0 : tensor<1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 16:54:40 UTC 2024 - 5.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-include-tf2xla-fallback.mlir
%0 = mhlo.constant dense<[[1, 1], [2, 2]]> : tensor<2x2xi32> // NO_FALLBACK: tf.MirrorPad // SUPPORTED_FALLBACK_DEVICE-NOT: tf.MirrorPad // UNSPECIFIED_FALLBACK_DEVICE: tf.MirrorPad // UNSUPPORTED_FALLBACK_DEVICE: tf.MirrorPad %1 = "tf.MirrorPad"(%arg0, %0) {mode = "SYMMETRIC"} : (tensor<2x3xcomplex<f64>>, tensor<2x2xi32>) -> tensor<4x7xcomplex<f64>> func.return %1 : tensor<4x7xcomplex<f64>> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 16 19:04:03 UTC 2023 - 3.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
%18 = "tf.Const"() {value = dense<1> : tensor<4xi32>} : () -> tensor<4xi32> %57 = "tf.Const"() {value = dense<0> : tensor<4xi32>} : () -> tensor<4xi32> %534 = "tf.StridedSlice"(%arg0, %57, %57, %18) {begin_mask = 11 : i64, device = "", ellipsis_mask = 0 : i64, end_mask = 11 : i64, new_axis_mask = 4 : i64, shrink_axis_mask = 0 : i64} : (tensor<*xf32>, tensor<4xi32>, tensor<4xi32>, tensor<4xi32>) -> tensor<*xf32> func.return %534 : tensor<*xf32>
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/tfr/tests/end2end.mlir
func.func @my_cast(%arg0: tensor<2x3xf32>) -> tensor<2x3xi32> { %0 = "tf.MyCast"(%arg0) {Tout=i32} : (tensor<2x3xf32>) -> tensor<2x3xi32> func.return %0 : tensor<2x3xi32> // CHECK-NEXT: %[[CAST:.*]] = "tf.RiscCast"(%arg0) {Tout = i32} : (tensor<2x3xf32>) -> tensor<*xi32> // CHECK-NEXT: %[[ES:.*]] = "tf.EnsureShape"(%[[CAST]]) <{shape = #tf_type.shape<2x3>}> : (tensor<*xi32>) -> tensor<2x3xi32> // CHECK-NEXT: return %[[ES]] : tensor<2x3xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 13.4K 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/tensorflow/tests/xla_broadcast.mlir
// CHECK-NEXT: %[[GROUP:.*]] = "tf.Const"() // CHECK-SAME: [0, 1, 2, 3] // CHECK-NEXT: %[[REDUCED:.*]] = "tf.XlaAllReduce"(%[[ID]], %[[GROUP]]) <{mode = "CrossReplica", reduce_op = "Add"}> : (tensor<f32>, tensor<1x4xi32>) -> tensor<f32> // CHECK-NEXT: "tf.OpA"(%[[REDUCED]]) : (tensor<f32>) -> () tf_device.replicate {n = 4 : i32} { "tf_device.cluster"() ({ "tf.OpA"(%arg0) : (tensor<f32>) -> () tf_device.return
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 13 18:52:07 UTC 2024 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/duplicate_shape_determining_constants.mlir
%3 = "tf.AddV2"(%rhs_dilation, %rhs_dilation) {device = ""} : (tensor<3xi32>, tensor<3xi32>) -> tensor<3xi32> %4 = "tf.AddV2"(%padding, %padding) {device = ""} : (tensor<3x2xi32>, tensor<3x2xi32>) -> tensor<3x2xi32> %5 = "tf.AddV2"(%strides, %strides) {device = ""} : (tensor<3xi32>, tensor<3xi32>) -> tensor<3xi32> return %0 : tensor<8x4x14x14x16xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 24 07:44:46 UTC 2022 - 11K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
%3 = "tf.AddV2"(%arg0, %0): (tensor<4x4xf32>, tensor<1xf32>) -> tensor<4x4xf32> %4 = "tf.Log"(%3) {device = "/job:localhost/replica:0/task:0/device:GPU:0"}: (tensor<4x4xf32>) -> tensor<4x4xf32> // CHECK: %[[ADD1:.*]] = "tf.AddV2" // CHECK: %[[LOG1:.*]] = "tf.Log"(%[[ADD1]]) %5 = "tf.AddV2"(%4, %1): (tensor<4x4xf32>, tensor<1xf32>) -> tensor<4x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0)