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Results 51 - 60 of 126 for 10xf32 (0.17 sec)
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tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/external_constant.mlir
^bb0(%arg0: tensor<40x37xf32>, %arg1: tensor<40x37xf32>): %cst = arith.constant dense<1.0> : tensor<40xf32> %0:2 = "tfl.fully_connected"(%arg0, %arg1, %cst) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<40x37xf32>, tensor<40x37xf32>, tensor<40xf32>) -> (tensor<40x40xf32>, tensor<40x40xf32>) func.return %0 : tensor<40x40xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/sink_constant.mlir
%3 = "tf.Mul"(%arg0, %0) : (tensor<16xf32>, tensor<f32>) -> tensor<16xf32> %4 = "tf.Mul"(%3, %0) : (tensor<16xf32>, tensor<f32>) -> tensor<16xf32> %5 = "tf.Mul"(%4, %1) : (tensor<16xf32>, tensor<f32>) -> tensor<16xf32> %6 = "tf.Mul"(%5, %2) : (tensor<16xf32>, tensor<f32>) -> tensor<16xf32> tf_device.return %6 : tensor<16xf32> }) {} : () -> tensor<16xf32> tf_executor.yield %3 : tensor<16xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:47:26 UTC 2022 - 1.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/fold-constants-to-subgraph.mlir
%2 = func.call @fold_all_test(%arg0, %0, %1) : (tensor<256x32x32x3xf32>, tensor<16x3x3x3xf32>, tensor<16xf32>) -> tensor<256x30x30x16xf32> func.return %2 : tensor<256x30x30x16xf32> } // ALL-LABEL: @fold_all_test func.func @fold_all_test(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<16x3x3x3xf32>, %arg2: tensor<16xf32>) -> tensor<256x30x30x16xf32> {
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/tests/flatbuffer2mlir/importer_test_min_max.cc.mlir
^bb0(%arg0: tensor<40x37xf32>, %arg1: tensor<40x37xf32>): %cst = arith.constant dense<1.0> : tensor<40xf32> %0:2 = "tfl.fully_connected"(%arg0, %arg1, %cst) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<40x37xf32>, tensor<40x37xf32>, tensor<40xf32>) -> (tensor<40x40xf32>, tensor<40x40xf32>) func.return %0 : tensor<40x40xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.1K 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/tensorflow/tests/mlir2graphdef/output-shapes-attr.mlir
// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s func.func @main(%arg0: tensor<10xi32>) -> tensor<10xi32> attributes {tf.entry_function = {inputs = "input0", outputs = "output0"}} { %graph = tf_executor.graph { tf_executor.fetch %arg0 : tensor<10xi32> } func.return %graph : tensor<10xi32> } // CHECK: node { // CHECK-NEXT: name: "input0" // CHECK-NEXT: op: "_Arg" // CHECK: key: "T"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 12:28:56 UTC 2022 - 3.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_legacy.mlir
} // CHECK-LABEL: add func.func @add(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>) -> tensor<1xf32> { %0 = "tf.AddV2"(%arg0, %arg1) : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32> func.return %0: tensor<1xf32> // CHECK: %[[ADD_0:.*]] = "tf.AddV2"(%arg0, %arg1) : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32> // CHECK: return %[[ADD_0]] : tensor<1xf32> } // CHECK-LABEL: softmax
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 5.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/convert_tpu_model_to_cpu.mlir
// CHECK-NOT: tf.BatchFunction // CHECK: %[[ADD0:.*]] = "tf.AddV2"(%[[ARG0]], %[[ARG1]]) // CHECK: return %[[ADD0]] : tensor<1xf32> func.func private @batched_func(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>) -> tensor<1xf32> { %0 = "tf.Identity"(%arg0) : (tensor<1xf32>) -> tensor<1xf32> %1 = "tf.Identity"(%arg1) : (tensor<1xf32>) -> tensor<1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 4.3K 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/tests/pin-ops-with-side-effects.mlir
//body ^bb0(%arg_body: tensor<1xf32>): %result_body = "tfl.add"(%arg_body, %arg_body) { fused_activation_function = "NONE" } : (tensor<1xf32>, tensor<1xf32>) -> (tensor<1xf32>) "tfl.yield"(%result_body) : (tensor<1xf32>) -> () }) : (tensor<1xf32>) -> (tensor<1xf32>) %tmp5 = "tfl.add"(%tmp4, %tmp2) { fused_activation_function = "NONE" } : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 17 10:45:19 UTC 2022 - 5.6K bytes - Viewed (0)