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Results 1 - 10 of 17 for 5x2xi32 (0.32 sec)
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tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_move_transposes_end.mlir
%0 = "tf.Const"() {value = dense<[0, 1, 4, 2, 3]> : tensor<5xi32>} : () -> tensor<5xi32> %1 = "tf.Const"() {value = dense<[[0, 0], [0, 0], [0, 0], [1, 1], [1, 1]]> : tensor<5x2xi32>} : () -> tensor<5x2xi32> %2 = "tf.Transpose"(%arg0, %0) : (tensor<1x2x4x4x3xf32>, tensor<5xi32>) -> tensor<1x2x3x4x4xf32> %3 = "tf.Pad"(%2, %1) : (tensor<1x2x3x4x4xf32>, tensor<5x2xi32>) -> tensor<1x2x3x6x6xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 9.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_update_embedding_enqueue_op_inputs.mlir
%arg2 :tensor<?x2xi32>, %arg3: tensor<?xi32>, %arg4: tensor<?xi32>, %arg5: tensor<?xi32>, %arg6: tensor<!tf_type.string>, %arg7: tensor<!tf_type.string>) -> () { // CHECK: %[[CONST_0:.*]] = "tf.Const"() %0 = "tf.Const"() {value = dense<[]> : tensor<0xf32>} : () -> tensor<0xf32> %2 = "tf.Const"() {value = dense<0.0> : tensor<2x2xf32>} : () -> tensor<2x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 5.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/bucketize.mlir
func.func @main(%arg0: tensor<3x2xf32>) -> tensor<3x2xi32> { // CHECK-LABEL: @main // CHECK: "tfl.bucketize"(%arg0) <{boundaries = [0.000000e+00 : f32, 1.000000e+01 : f32, 1.000000e+02 : f32]}> : (tensor<3x2xf32>) -> tensor<3x2xi32> %0 = "tfl.bucketize"(%arg0) {boundaries = [0.0 : f32, 10.0 : f32, 100.0 : f32]} : (tensor<3x2xf32>) -> tensor<3x2xi32> func.return %0 : tensor<3x2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 571 bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/bridge/convert_tf_quant_ops_to_mhlo.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 7.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/simple.mlir
// CHECK-NEXT: [[SCALAR:%.*]] = "tfl.pseudo_const"() <{value = dense<10> : tensor<i32>}> : () -> tensor<i32> // CHECK-NEXT: [[ADD:%.*]] = tfl.add([[SCALAR]], [[SUB]]) {fused_activation_function = "NONE"} : (tensor<i32>, tensor<3x2xi32>) -> tensor<3x2xi32> // CHECK-NEXT: return [[ADD]] : tensor<3x2xi32> %0 = "tfl.pseudo_const" () {value = dense<[[1, 2], [3, 4], [5, 6]]> : tensor<3x2xi32>} : () -> tensor<3x2xi32> loc("Const")
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/variable.mlir
// CHECK-LABEL: main func.func @main() -> tensor<3x2xi32> { // CHECK: "tfl.pseudo_const"() <{value = dense<0> : tensor<3x2xi32>}> {tfl.is_variable} : () -> tensor<3x2xi32> %0 = "tfl.pseudo_const"() {value = dense<0> : tensor<3x2xi32>, tfl.is_variable} : () -> tensor<3x2xi32> loc("variable") func.return %0 : tensor<3x2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 470 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/push-tpose-through-ewise.mlir
func.func @pushTposeAfterAddSimpleWithFold(%arg0: tensor<2x3xi32>) -> tensor<3x2xi32> { %perm = arith.constant dense<[1, 0]> : tensor<2xi32> %0 = "tfl.transpose"(%arg0, %perm) : (tensor<2x3xi32>, tensor<2xi32>) -> tensor<3x2xi32> %cst = arith.constant dense<[[1, 2], [3, 4], [5, 6]]> : tensor<3x2xi32> %1 = tfl.add %0, %cst { fused_activation_function = "NONE" } : tensor<3x2xi32> func.return %1 : tensor<3x2xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 8.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/variable.mlir
// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s func.func @main() -> tensor<3x2xi32> { %0 = "tfl.pseudo_const" () {value = dense<0> : tensor<3x2xi32>, tfl.is_variable} : () -> tensor<3x2xi32> loc("variable") func.return %0 : tensor<3x2xi32> } // CHECK: { // CHECK-NEXT: version: 3, // CHECK-NEXT: operator_codes: [ ], // CHECK-NEXT: subgraphs: [ { // CHECK-NEXT: tensors: [ {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 06 17:29:59 UTC 2023 - 1.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/fold_constant_transpose.mlir
// ----- // Tests that int constants are not folded. // CHECK-LABEL: transpose_int func.func @transpose_int() -> tensor<3x2xi32> { %0 = stablehlo.constant dense<0> : tensor<2x3xi32> %1 = stablehlo.transpose %0, dims = [1, 0] : (tensor<2x3xi32>) -> tensor<3x2xi32> return %1 : tensor<3x2xi32> } // CHECK: transpose // ----- // Tests that transposing an argument cannot be folded. // CHECK-LABEL: transpose_arg
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 08:06:02 UTC 2024 - 2.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/saved_model/testdata/xla_launch_xla_reduce_window.mlir
func.return %0 : tensor<*xf32> } func.func @xla_func_0(%arg0: tensor<7xf32>, %arg1: tensor<f32>) -> tensor<10xf32> { %cst = "tf.Const"() {value = dense<0> : tensor<1x2xi32>} : () -> tensor<1x2xi32> %cst_0 = "tf.Const"() {value = dense<1> : tensor<1xi32>} : () -> tensor<1xi32> %cst_1 = "tf.Const"() {value = dense<2> : tensor<1xi32>} : () -> tensor<1xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 14 15:35:49 UTC 2023 - 1.6K bytes - Viewed (0)