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Results 1 - 10 of 12 for 2xi32 (0.06 sec)
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tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
func.return %2, %3, %4, %5: tensor<2xf32>, tensor<2xf32>, tensor<2xf32>, tensor<2xf32> } // CHECK-LABEL: func @addNWithZerosInt func.func @addNWithZerosInt(%arg0: tensor<2xi32>) -> (tensor<2xi32>, tensor<2xi32>, tensor<2xi32>, tensor<2xi32>) { %0 = "tf.Const"() {value = dense<1> : tensor<2xi32>} : () -> tensor<2xi32> %1 = "tf.Const"() {value = dense<0> : tensor<2xi32>} : () -> tensor<2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
%t2 = "tf.Acosh"(%arg1) : (tensor<2xf32>) -> tensor<2xf32> "tf.Yield"(%t0, %t1, %t2) : (tensor<2xf32>, tensor<2xf32>, tensor<2xf32>) -> () }, { %e0 = "tf.Neg"(%arg1) : (tensor<2xf32>) -> tensor<2xf32> %e1 = "tf.Relu"(%arg1) : (tensor<2xf32>) -> tensor<2xf32> %e2 = "tf.Sin"(%arg1) : (tensor<2xf32>) -> tensor<2xf32> "tf.Yield"(%e0, %e1, %e2) : (tensor<2xf32>, tensor<2xf32>, tensor<2xf32>) -> ()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
func.return %0#0 : tensor<2xi32> // CHECK-LABEL: unpack3Tensors // CHECK: "tfl.unpack"(%arg0) <{axis = 1 : i32, num = 3 : i32}> : (tensor<2x3xi32>) -> (tensor<2xi32>, tensor<2xi32>, tensor<2xi32>) } func.func @unpackNegAxis(%arg0: tensor<2x3xi32>) -> tensor<2xi32> { %0:3 = "tf.Unpack"(%arg0) {axis = -1 : i64} : (tensor<2x3xi32>) -> (tensor<2xi32>, tensor<2xi32>, tensor<2xi32>)
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/lite/tests/ops.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
// CHECK-LABEL: func @main(%arg0: tensor<1xi32>, %arg1: tensor<1xi32>) -> tensor<1xi32> func.func @main(%arg0: tensor<1xi32>, %arg1: tensor<1xi32>) -> tensor<*xi32> { // CHECK: %[[RESULT:.*]] = "tf.AddV2" // CHECK-SAME: (tensor<1xi32>, tensor<1xi32>) -> tensor<1xi32> // CHECK: return %[[RESULT]] : tensor<1xi32> %0 = "tf.Cast"(%arg0) : (tensor<1xi32>) -> tensor<*xi32> %1 = "tf.Cast"(%arg1) : (tensor<1xi32>) -> tensor<*xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
// CHECK: [[VAL_23:%.*]] = "tf.Reshape"([[VAL_15]]#1, [[VAL_22]]) : (tensor<1x10xf32>, tensor<1xi32>) -> tensor<10xf32> // CHECK-DAG: [[VAL_24:%.*]] = "tf.Const"() <{value = dense<-1> : tensor<1xi32>}> : () -> tensor<1xi32> // CHECK: [[VAL_25:%.*]] = "tf.Reshape"([[VAL_15]]#2, [[VAL_24]]) : (tensor<1x10xf32>, tensor<1xi32>) -> tensor<10xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/extract_outside_compilation.mlir
%5:2 = "tf.C"(%4) : (tensor<2xi32>) -> (tensor<2xi32>, tensor<2xi32>) tf_device.return %5#0, %5#1 : tensor<2xi32>, tensor<2xi32> }) {num_cores_per_replica = 1, topology = "", device_assignment = []} : () -> (tensor<2xi32>, tensor<2xi32>) tf_device.return %2#1 : tensor<2xi32> } func.return %1 : tensor<2xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:59:10 UTC 2023 - 129.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
// CHECK-DAG: %[[START:.+]] = arith.constant dense<{{\[1, 2\]}}> : tensor<2xi32> // CHECK-DAG: %[[SIZE:.+]] = arith.constant dense<2> : tensor<2xi32> // CHECK: %[[SLICE:.+]] = "tfl.slice"(%[[ARG0]], %[[START]], %[[SIZE]]) : (tensor<3x4x!quant.uniform<i8:f32, 2.000000e+00:-1>>, tensor<2xi32>, tensor<2xi32>) -> tensor<2x2x!quant.uniform<i8:f32, 2.000000e+00:-1>> // CHECK: return %[[SLICE]] // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
```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>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.cc
// The first Operand is assumed to be a TensorType around a variant with a // single subtype (e.g. tensor<!tf_type.variant<tensor<2xi32>>>). We will // copy this type to the first result, and copy the singular variant subtype // to the second result (tensor<2xi32>). DCOMMENT_OP(op, "Inferring shape for TensorListPopBackOp."); auto src_list_handle_t =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jun 08 07:28:49 UTC 2024 - 134.1K bytes - Viewed (0)