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Results 71 - 80 of 162 for 1xi32 (0.04 sec)
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tensorflow/compiler/mlir/lite/tests/end2end/custom_opdef.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 21 11:04:11 UTC 2022 - 1.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/replicate_tensor_list_init_ops.mlir
// CHECK: while_region_op func.func @while_region_op() { %elem_shape = "tf.Const"() {value = dense<[-1, 1]> : tensor<2xi32>} : () -> tensor<2xi32> %size = "tf.Const"() {value = dense<10> : tensor<i32>} : () -> tensor<i32> // CHECK: TensorListReserve // CHECK: TensorListReserve %tl = "tf.TensorListReserve"(%elem_shape, %size) : (tensor<2xi32>, tensor<i32>) -> tensor<!tf_type.variant<tensor<?x1xf32>>> %while:1 = "tf.WhileRegion"(%tl) ({
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Jan 22 17:28:34 UTC 2023 - 8.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/optimize-arg-operand-constraint.mlir
// CHECK-LABEL: func @main func.func @main(%arg0: tensor<1xf32>) -> tensor<1xf32> attributes {tf.entry_function = {inputs = "input", outputs = "output_node"}} { %0 = arith.constant dense<2.000000e+00> : tensor<f32> %1 = arith.constant dense<1.000000e+00> : tensor<f32> %2 = "tf.AddV2"(%arg0, %1) {T = "tfdtype$DT_FLOAT", device = "", name = "StatefulPartitionedCall/add"} : (tensor<1xf32>, tensor<f32>) -> tensor<1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:47:26 UTC 2022 - 719 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/device-transform-nnapi.mlir
%cst = arith.constant dense<[1, 2]> : tensor<2xi32> %0 = "tfl.mean"(%arg0, %cst) {keep_dims = false} : (tensor<1x48x48x512xf32>, tensor<2xi32>) -> tensor<1x512xf32> func.return %0 : tensor<1x512xf32> } // CHECK: func @mean_4d_no_keepdim([[VAL_0:%.*]]: tensor<1x48x48x512xf32>) -> tensor<1x512xf32> { // CHECK: [[VAL_1:%.*]] = "tfl.pseudo_const"(){{.*}}dense<[1, 512]> : tensor<2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 4.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/execution_metadata_exporter_test.cc
%2 = "tfl.add"(%arg0, %arg3) {fused_activation_function = "RELU6", per_device_costs = {CPU = 5.0 : f32, GPU = 1.0 : f32}, tac.device = "GPU"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32> %3 = "tfl.pack"(%1, %2) {axis = 0 : i32, per_device_costs = {CPU = 2.0 : f32, GPU = -1.0 : f32}, values_count = 2 : i32, tac.device = "CPU"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<2x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 06:11:34 UTC 2024 - 6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/tfl_while_op_licm.mlir
func.func @while_1(%arg0: tensor<i32>, %arg1: tensor<1xf32>) -> tensor<1xf32> { // CHECK: [[CST:%[^ ]*]] = arith.constant dense<1> : tensor<i32> // CHECK: "tfl.while"([[ARG0]], [[ARG1]]) // CHECK: (tensor<i32>, tensor<1xf32>) -> (tensor<i32>, tensor<1xf32>) %0:2 = "tfl.while"(%arg0, %arg1) ( // cond { ^bb0(%condArg0: tensor<*xi32>, %condArg1: tensor<*xf32>):
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 14:24:59 UTC 2022 - 1.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/tf_add.mlir
func.func @main(%arg0: tensor<10xi32>, %arg1: tensor<10xi32>) -> tensor<10xi32> attributes {tf.entry_function = {inputs = "input0,input1", outputs = "Add"}} { %graph = tf_executor.graph { %2:2 = tf_executor.island wraps "tf.Add"(%arg0, %arg1) {T = "tfdtype$DT_INT32", device = ""} : (tensor<10xi32>, tensor<10xi32>) -> tensor<10xi32> loc("Add") tf_executor.fetch %2 : tensor<10xi32> } func.return %graph : tensor<10xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 17 22:54:55 UTC 2023 - 1.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/tf-tfl-translate-serialize-stablehlo-multiply.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 03 00:55:13 UTC 2023 - 306 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/transpose-op.mlir
%0 = "tf.Const"() {value = dense<[0, 3, 1, 2]> : tensor<4xi32>} : () -> tensor<4xi32> %1 = "tf.Const"() {value = dense<[0, 0x4141, 3, 1]> : tensor<4xi32>} : () -> tensor<4xi32> %2 = "tf.Transpose"(%arg0, %0) : (tensor<1x4x4x8xf32>, tensor<4xi32>) -> tensor<1x8x4x4xf32> // expected-error @+1 {{'tf.Transpose' op perm[1]=16705 must be in range [-4, 4)}} %3 = "tf.Transpose"(%2, %1) : (tensor<1x8x4x4xf32>, tensor<4xi32>) -> tensor<1x4x4x8xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 23 05:52:37 UTC 2023 - 634 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/dynamic_shape_constant.mlir
func.func @main(%arg0: tensor<2xi32>) -> tensor<2xi32> { %cst = "tfl.pseudo_const"() {value = dense<[1, 2]> : tensor<2xi32>} : () -> tensor<?xi32> %0 = "tfl.add"(%arg0, %cst) {fused_activation_function = "NONE"} : (tensor<2xi32>, tensor<?xi32>) -> tensor<2xi32> func.return %0 : tensor<2xi32> } // CHECK: tensors: [ { // CHECK-NEXT: shape: [ 2 ],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 14 16:41:28 UTC 2022 - 810 bytes - Viewed (0)