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tensorflow/compiler/mlir/lite/tests/ops.mlir
func.return %0 : tensor<? x i32> } // CHECK-LABEL: testPow func.func @testPow(tensor<? x i32>, tensor<? x i32>) -> tensor<? x i32> { ^bb0(%arg0: tensor<? x i32>, %arg1: tensor<? x i32>): // CHECK: tfl.pow %arg0, %arg1 %0 = tfl.pow %arg0, %arg1 : tensor<? x i32> func.return %0#0 : tensor<? x i32> } // CHECK-LABEL: testAtan2
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/tpu_rewrite.mlir
%0 = "tf.D"(%arg0) : (tensor<?xi32>) -> tensor<?xi32> %1 = func.call @referenced_func2(%0) : (tensor<?xi32>) -> tensor<?xi32> func.return %1 : tensor<?xi32> } func.func @referenced_func2(%arg0: tensor<?xi32>) -> tensor<?xi32> { %0 = "tf.E"(%arg0) : (tensor<?xi32>) -> tensor<?xi32> func.return %0 : tensor<?xi32> } } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 172.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
// CHECK: tf.BroadcastGradientArgs // CHECK-SAME: (tensor<*xi32>, tensor<0xi32>) -> (tensor<?xi32>, tensor<?xi32>) %2:2 = "tf.BroadcastGradientArgs"(%arg0, %arg1) {T = "tfdtype$DT_INT32", name = "BroadcastGradientArgs"} : (tensor<*xi32>, tensor<0xi32>) -> (tensor<?xi32>, tensor<?xi32>) func.return %2#0 : tensor<?xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
let arguments = (ins TFL_TensorOf<[I8, I16, I32, I64, UI8, UI16, UI32, UI64, F32, F64]>:$input, TFL_TensorOf<[I32]>:$dilations, TFL_0DTensorOf<[I8, I16, I32, I64, UI8, UI16, UI32, UI64, F32, F64]>:$padding_value ); let results = (outs TFL_TensorOf<[I8, I16, I32, I64, UI8, UI16, UI32, UI64, F32, F64]>:$output); } def TFL_AddOp : TFL_Op<"add", [
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K 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/tests/extract_outside_compilation.mlir
"tf_device.cluster"() ({ %0 = "tf.A"() : () -> (tensor<i32>) %1 = "tf.B"() {_xla_outside_compilation = "cluster0"} : () -> (tensor<i32>) %2 = "tf.C"(%1) : (tensor<i32>) -> (tensor<i32>) %3 = "tf.D"() : () -> (tensor<i32>) "tf.E"(%2, %3) : (tensor<i32>, tensor<i32>) -> () "tf.F"(%1, %0) {_xla_outside_compilation = "cluster0"} : (tensor<i32>, tensor<i32>) -> () "tf.G"(%0, %1) : (tensor<i32>, tensor<i32>) -> ()
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/tensorflow/tests/tf-ops.mlir
// expected-error @+1 {{argument count mismatch: 'args' has 1 arguments, but '@pcall_func_2' expects 2}} %0 = "tf.PartitionedCall"(%arg0) {config = "", config_proto = "", executor_type = "", f = @pcall_func_2} : (tensor<i32>) -> (tensor<i32>) func.return %0 : tensor<i32> } func.func @pcall_func_2(%arg0: tensor<i32>, %arg1: tensor<i32>) -> tensor<i32> { func.return %arg0 : tensor<i32> } // -----
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/tensorflow/tests/canonicalize.mlir
}, { // loop body ^bb0(%barg0: tensor<i32>, %barg1: tensor<i32>): %one = arith.constant dense<1> : tensor<i32> %sub0 = "tf.Sub"(%barg0, %one) : (tensor<i32>, tensor<i32>) -> tensor<i32> %sub1 = "tf.Sub"(%barg1, %one) : (tensor<i32>, tensor<i32>) -> tensor<i32> "tf.Yield"(%sub0, %sub1) : (tensor<i32>, tensor<i32>) -> () }
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/lite/tests/legalize-tf.mlir
} func.func @argmin(%arg0: tensor<3xi32>, %arg1: tensor<i32>) -> tensor<i32> { %0 = "tf.ArgMin"(%arg0, %arg1) : (tensor<3xi32>, tensor<i32>) -> tensor<i32> func.return %0 : tensor<i32> // CHECK-LABEL: argmin // CHECK: "tfl.arg_min"(%arg0, %arg1) : (tensor<3xi32>, tensor<i32>) -> tensor<i32> } func.func @sigmoid(%arg0: tensor<?x88xf32>) -> tensor<?x88xf32> {
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/prepare-composite-functions-tf.mlir
func.func @embedding(%arg0: tensor<*xf32>, %arg1: tensor<*xi32>) -> tensor<*xf32> attributes {tf._implements = "embedding_matmul", tf._reference = "mlir"} { %0 = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32> %1 = "tf.ExpandDims"(%arg1, %0) : (tensor<*xi32>, tensor<i32>) -> tensor<*xi32> %2 = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32> %3 = "tf.Const"() {value = dense<4096> : tensor<i32>} : () -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0)