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Results 141 - 150 of 263 for 8xi32 (0.21 sec)
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tensorflow/compiler/mlir/tensorflow/tests/tf_device_ops_invalid.mlir
"tf_device.replicate" (%arg0, %arg0, %arg0, %arg0) ({ // expected-error@-1 {{'tf_device.replicate' op expects number of replicated inputs (4) to be evenly divisible by 'n' (3)}} ^entry(%input0: tensor<*xi32>, %input1: tensor<*xi32>): tf_device.return }) {n = 3 : i32, operandSegmentSizes = array<i32: 4, 0>} : (tensor<*xi32>, tensor<*xi32>, tensor<*xi32>, tensor<*xi32>) -> () } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 14 15:35:49 UTC 2023 - 9.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/modify_io_nodes.mlir
func.func @modified(%arg0: tensor<1x224x224x3xf32>) -> tensor<1x401408xf32> attributes {tf.entry_function = {control_outputs = "", inputs = "input", outputs = "output"}} { %cst = arith.constant dense<[1, 401408]> : tensor<2xi32> %0 = "tfl.quantize"(%arg0) {qtype = tensor<1x224x224x3x!quant.uniform<i8:f32, 7.812500e-03>>} : (tensor<1x224x224x3xf32>) -> tensor<1x224x224x3x!quant.uniform<i8:f32, 7.812500e-03>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 19.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu-merge-variables-with-execute.mlir
Targs = [tensor<32xf32>, tensor<64xf32>, tensor<8xf32>, tensor<2xf32>], Tresults = [tensor<32xf32>, tensor<64xf32>, tensor<8xf32>]} : (tensor<32xf32>, tensor<64xf32>, tensor<8xf32>, tensor<2xf32>, tensor<2x!tf_type.string>) -> (tensor<32xf32>, tensor<64xf32>, tensor<8xf32>) tf_device.return %0#0, %0#1, %0#2 : tensor<32xf32>, tensor<64xf32>, tensor<8xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:59:10 UTC 2023 - 24.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/odml_converter/tests/shlo_simplify.mlir
// ----- func.func @foldDivI32() -> tensor<2xi32> { %0 = stablehlo.constant dense<[9, 3]> : tensor<2xi32> %1 = stablehlo.constant dense<[4, 6]> : tensor<2xi32> %2 = stablehlo.divide %0, %1 : tensor<2xi32> return %2 : tensor<2xi32> } // CHECK-LABEL: foldDivI32 // CHECK: stablehlo.constant dense<[2, 0]> : tensor<2xi32> // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 03:05:20 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/custom_op.mlir
func.func @main(%arg0: tensor<32x4x4x128xf32>, %arg1: tensor<1x32x42x128xf32>, %arg2: tensor<4xi32>) -> tensor<1x64x84x32xf32> { %0 = "tfl.custom"(%arg0, %arg1, %arg2) {custom_code = "Convolution2DTransposeBias", custom_option = #tfl<const_bytes : "0x010000000200000002000000">} : (tensor<32x4x4x128xf32>, tensor<1x32x42x128xf32>, tensor<4xi32>) -> tensor<1x64x84x32xf32> func.return %0 : tensor<1x64x84x32xf32> } // CHECK-LABEL: main
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 827 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/custom_op_offset.mlir
func.func @main(%arg0: tensor<32x4x4x128xf32>, %arg1: tensor<1x32x42x128xf32>, %arg2: tensor<4xi32>) -> tensor<1x64x84x32xf32> { %0 = "tfl.custom"(%arg0, %arg1, %arg2) {custom_code = "Convolution2DTransposeBias", custom_option = #tfl<const_bytes : "0x010000000200000002000000">} : (tensor<32x4x4x128xf32>, tensor<1x32x42x128xf32>, tensor<4xi32>) -> tensor<1x64x84x32xf32> func.return %0 : tensor<1x64x84x32xf32> } // CHECK-LABEL: main
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 847 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/fold_broadcast.mlir
%cst0 = mhlo.constant dense<[1, 2, 3, 4]> : tensor<4xi32> // CHECK: %[[BROADCAST:.*]] = "mhlo.broadcast_in_dim"(%[[CONST]]) <{broadcast_dimensions = dense<3> : tensor<1xi64>}> : (tensor<4xi32>) -> tensor<1x1x2x4xi32> %0 = "mhlo.broadcast_in_dim"(%cst0) <{broadcast_dimensions = dense<3> : tensor<1xi64>}> : (tensor<4xi32>) -> tensor<1x1x2x4xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 4.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize_jax_random.mlir
// CHECK: %[[VAL_0:.*]] = stablehlo.constant dense<[3, 4]> : tensor<2xi32> // CHECK: %[[VAL_1:.*]] = "tfl.custom"(%[[VAL_0]]) <{custom_code = "RandomStandardNormal", custom_option = #tfl<const_bytes : "0x">}> : (tensor<2xi32>) -> tensor<3x4xf32> // CHECK: %[[VAL_2:.*]] = stablehlo.tuple %[[VAL_1]] : tuple<tensor<3x4xf32>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/legacy_reshape.json
// RUN: json_to_flatbuffer %p/test_schema.fbs %s | flatbuffer_translate --tflite-flatbuffer-to-mlir -o - | FileCheck %s // CHECK: %0 = "tfl.pseudo_const"() <{value = dense<2> : tensor<2xi32>}> : () -> tensor<2xi32> // CHECK: %1 = "tfl.reshape"(%arg0, %0) : (tensor<1x4xf32>, tensor<2xi32>) -> tensor<2x2xf32> { "version": 3, "operator_codes": [ { "builtin_code": "RESHAPE" } ], "subgraphs": [ { "tensors": [
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 986 bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/mlrt/tf_to_mlrt.mlir
// CHECK-NEXT: tf_mlrt.executeop([[y]] %v = "tf.AddV2"(%y, %z) {__op_key = 3: i32}: (tensor<1xi32>, tensor<1xi32>) -> tensor<1xi32> return %w, %u, %v : tensor<1xi32>, tensor<1xi32>, tensor<1xi32> } // ----- // Test node names are preserved. // CHECK-LABEL: func @main func.func @main(%x: tensor<i32>) -> tensor<i32> { // CHECK: tf_mlrt.executeop
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 20:44:15 UTC 2024 - 24.7K bytes - Viewed (0)