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Results 51 - 60 of 80 for 448xi32 (0.21 sec)
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tensorflow/compiler/mlir/lite/tests/canonicalize.mlir
// CHECK-LABEL: broadcast_to_to_reshape func.func @broadcast_to_to_reshape(%arg0: tensor<4x4x4xf32>, %arg1 : tensor<4xi32>) -> tensor<1x4x4x4xf32> { %0 = "tfl.broadcast_to"(%arg0, %arg1) : (tensor<4x4x4xf32>, tensor<4xi32>) -> tensor<1x4x4x4xf32> // CHECK: "tfl.reshape" // CHECK-SAME: (tensor<4x4x4xf32>, tensor<4xi32>) -> tensor<1x4x4x4xf32> func.return %0 : tensor<1x4x4x4xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/tfl_legalize_hlo.mlir
// CHECK-NEXT: %14 = "tfl.pseudo_const"() <{value = dense<[-1, -1, 0, -1]> : tensor<4xi32>}> : () -> tensor<4xi32> // CHECK-NEXT: %15 = "tfl.pseudo_const"() <{value = dense<[-1, -1, -1, 0]> : tensor<4xi32>}> : () -> tensor<4xi32> // CHECK-NEXT: %16 = "tfl.pseudo_const"() <{value = dense<1> : tensor<i32>}> : () -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 40.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/optimize_tf_control_flow_side_effect.mlir
func.func @init() attributes {tf_saved_model.exported_names = ["__tf_saved_model_session_initializer_init"]} { %keys = "tf.Const"() {value = dense<[1, 2, 3, 4]> : tensor<4xi32> } : () -> tensor<4xi32> %values = "tf.Const"() {value = dense<[1, 2, 3, 4]> : tensor<4xi32> } : () -> tensor<4xi32> %handle = "tf.HashTableV2"() {container = "", key_dtype = i32, shared_name = "hash_table", use_node_name_sharing = false, value_dtype = i32} : () -> tensor<!tf_type.resource>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 02 01:15:55 UTC 2023 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants.mlir
func.return %0 : tensor<4xi16> } func.func @i32() -> tensor<4xi32> { // CHECK-LABEL: @i32 // CHECK: value = dense<[1, 2, 3, 16909060]> : tensor<4xi32> // Check bytes come back in the right order %0 = "tfl.pseudo_const" () { value = dense<[1, 2, 3, 16909060]> : tensor<4xi32> } : () -> tensor<4xi32> func.return %0 : tensor<4xi32> } func.func @i64() -> tensor<4xi64> { // CHECK-LABEL: @i64
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 12.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/target-annotation.mlir
%0 = "tfl.pseudo_const"() {value = dense<[1, 4, 384, 32]> : tensor<4xi32>} : () -> tensor<4xi32> // CHECK-NOT: tac.device tac.inference_type %1 = "tfl.pseudo_const"() {value = dense<[4, 384, 32]> : tensor<3xi32>} : () -> tensor<3xi32> // CHECK: tac.device = "CPU", tac.inference_type = "QUANTIZED_INT8" %2 = "tfl.reshape"(%arg0, %0) : (tensor<4x384x32x!quant.uniform<i8:f32, 0.2:-3>>, tensor<4xi32>) -> tensor<1x4x384x32x!quant.uniform<i8:f32, 0.2:-3>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 19 19:32:06 UTC 2023 - 6.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/fold-constants-to-subgraph.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 10.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/hlo_matchers.cc
} return true; } // Matches %iota generated from the following code (rank 3 example): // // %iota_r1 = "mhlo.iota"(){iota_dimension = 0 : i32} : () -> tensor<44xi32> // %iota = "mhlo.reshape"(%iota_r1): (tensor<44xi32>) -> tensor<1x1x44xi32> // // Where $dimensions is of size 1 and $dimensions[0] = 2. // // In general matches a 1-D Iota with multiple dimensions of size 1 added // through a reshape.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/unfreeze_constants.mlir
%cst = "tf.Const"() {value = dense<[0, 1, 2, 3]> : tensor<4xi32>} : () -> tensor<4xi32> %cst_0 = "tf.Const"() {value = dense<5.0> : tensor<f32>} : () -> tensor<f32> // Check that these constants are remained in constants. // CHECK: func private @while_cond // CHECK-DAG: %[[CST:.*]]= "tf.Const"() <{value = dense<[0, 1, 2, 3]> : tensor<4xi32>}> : () -> tensor<4xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 17.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/resource_op_lifting.mlir
// CHECK-SAME: -> tensor<4xi32> // CHECK: %[[CLUSTER_RES:[0-9]*]]:2 = "tf_device.cluster" // CHECK: %[[COMPUTE_RES:[0-9]*]] = "tf.SomeComputation"(%[[RES_READ_VAL]]) : (tensor<4xi32>) -> tensor<4xi32> // CHECK: tf_device.return %[[COMPUTE_RES]], %[[COMPUTE_RES]] // CHECK-SAME: tensor<4xi32>, tensor<4xi32> // CHECK: {cluster_attr = "cluster_attr"}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 74K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
} func.func @dynamic_update_slice(%arg0: tensor<4x5xi32>, %arg1: tensor<1x5xi32>, %arg2: tensor<2xi32>) -> tensor<4x5xi32> { %0 = "tf.XlaDynamicUpdateSlice"(%arg0, %arg1, %arg2) : (tensor<4x5xi32>, tensor<1x5xi32>, tensor<2xi32>) -> tensor<4x5xi32> func.return %0 : tensor<4x5xi32> // CHECK-LABEL:dynamic_update_slice // CHECK: "tfl.dynamic_update_slice"(%arg0, %arg1, %arg2) : (tensor<4x5xi32>, tensor<1x5xi32>, tensor<2xi32>) -> tensor<4x5xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0)