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Results 11 - 20 of 25 for 3x2x4xi32 (0.18 sec)
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tensorflow/compiler/mlir/lite/tests/shape-inference.mlir
module attributes {tf.versions = {producer = 888 : i32}} { func.func @testReshapeShapeInference(%arg0: tensor<3x4xi32>) -> tensor<*xi32> { %cst = arith.constant dense<[1, 6, 2]> : tensor<3xi32> // CHECK: "tfl.reshape"(%arg0, %cst) : (tensor<3x4xi32>, tensor<3xi32>) -> tensor<1x6x2xi32> %0 = "tfl.reshape"(%arg0, %cst) : (tensor<3x4xi32>, tensor<3xi32>) -> tensor<*xi32> func.return %0 : tensor<*xi32> } } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
// CHECK: mhlo.reduce // CHECK: mhlo.dot_general // CHECK: mhlo.transpose %0 = "tf.BatchMatMulV2"(%arg0, %arg1) {T = f32, adj_x = false, adj_y = false, grad_x = false, grad_y = false, device = ""} : (tensor<1x4x2xf32>, tensor<3x2x4xf32>) -> tensor<3x4x4xf32> func.return %0 : tensor<3x4x4xf32> } // CHECK-LABEL: approx_topk
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 38.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
func.func @fill_with_shape_op(%arg0: tensor<3x2xi32>, %arg1: tensor<i32>) -> (tensor<*xi32>) { // CHECK: %[[SHAPE:.*]] = "tf.Shape"(%{{.*}}) : (tensor<3x2xi32>) -> tensor<2xi32> // CHECK: %[[FILL:.*]] = "tf.Fill"(%[[SHAPE]], %{{.*}}) : (tensor<2xi32>, tensor<i32>) -> tensor<3x2xi32> // CHECK: return %[[FILL]] : tensor<3x2xi32> %0 = "tf.Shape"(%arg0) : (tensor<3x2xi32>) -> tensor<2xi32>
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/tensorflow/tests/graphdef2mlir/shape-attrs.pbtxt
value { type: DT_BOOL } } } # CHECK-DAG: tf.IteratorGetNext{{.+}}-> (tensor<1x8xbf16>, tensor<2x?x16xf32>, tensor<*xf64>) # CHECK-DAG: tf.IteratorGetNextSync{{.+}}-> (tensor<*xi16>, tensor<3x24xi32>, tensor<?x4x32xi64>) # CHECK-DAG: tf.MultiDeviceIteratorGetNextFromShard{{.+}}-> (tensor<5x40xf16>, tensor<*xcomplex<f32>>, tensor<6x48x?xcomplex<f64>>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Dec 04 18:02:53 UTC 2020 - 5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir
%11 = "tf.Sub"(%10, %cst_2) : (tensor<2x2x2xi32>, tensor<i32>) -> tensor<2x2x2xi32> %12 = "tf.Identity"(%9) : (tensor<2x2x2xi8>) -> tensor<2x2x2xi8> %13 = "tf.Cast"(%12) {Truncate = false} : (tensor<2x2x2xi8>) -> tensor<2x2x2xi32> %14 = "tf.Sub"(%13, %cst_4) : (tensor<2x2x2xi32>, tensor<i32>) -> tensor<2x2x2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 81K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/legalize_tf_test.cc
%%arg1 = "tf.Const"() {value = dense<-3.0> : tensor<1x2x4xf32>} : () -> tensor<1x2x4xf32> %%1 = "tf.%s"(%%arg0, %%arg1) {T = f32, adj_x = false, adj_y = false, grad_x = false, grad_y = false, device = ""} : (tensor<1x4x2xf32>, tensor<1x2x4xf32>) -> tensor<1x4x4xf32> func.return %%1 : tensor<1x4x4xf32> } })"; std::string mat_mul_method =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 13 23:59:33 UTC 2024 - 16.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/vhlo.mlir
slice_sizes = #vhlo.tensor_v1<dense<[1, 2, 2]> : tensor<3xi64>>, indices_are_sorted = #vhlo.bool_v1<false> }> : (tensor<3x4x2xi32>, tensor<2x3x2xi64>) -> tensor<2x3x2x2xi32> return %result : tensor<2x3x2x2xi32> } // CHECK: func.func private @gather(%arg0: tensor<3x4x2xi32>, %arg1: tensor<2x3x2xi64>) -> tensor<2x3x2x2xi32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 14 19:15:40 UTC 2024 - 31.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
func.func @valid_unranked_inputs_on_reshape(%arg0: tensor<3x4xi32>, %arg1: tensor<*xi32>) -> tensor<3x4xi32> { // CHECK: "tfl.reshape"(%arg0, %arg1) %0 = "tfl.reshape"(%arg0, %arg1) : (tensor<3x4xi32>, tensor<*xi32>) -> tensor<3x4xi32> func.return %0 : tensor<3x4xi32> } // ----- // CHECK-LABEL: valid_one_dynamic_dim_on_reshape func.func @valid_one_dynamic_dim_on_reshape(%arg0: tensor<3x4xi32>) -> tensor<1x3x4xi32> {
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/lite/tests/lower-static-tensor-list.mlir
} // ----- // CHECK-LABEL: tensorlistConcat func.func @tensorlistConcat(%arg0: tensor<3x2x2xf32>, %lead: tensor<i64>) -> (tensor<?x2xf32>, tensor<0xi64>) { %cst = arith.constant dense<[2, 2]> : tensor<2xi32> %list = "tf.TensorListFromTensor"(%arg0, %cst) : (tensor<3x2x2xf32>, tensor<2xi32>) -> tensor<!tf_type.variant<tensor<f32>>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 39.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_rewrite.mlir
// CHECK: metadata // CHECK-SAME: args // CHECK-SAME: shape // CHECK-SAME: dim // CHECK-SAME: size: 1 // CHECK-SAME: dim // CHECK-SAME: size: 2 // CHECK-SAME: dim // CHECK-SAME: size: 3 func.return %0: tensor<1x2x3xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 172.9K bytes - Viewed (0)