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tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/tensor-list.pbtxt
# CHECK: tf.TensorListReserve{{.*}}(tensor<2xi32>, tensor<i32>) -> tensor<!tf_type.variant<tensor<*xf32>>> # Nested variant type. # CHECK: tf.TensorListReserve{{.*}}(tensor<2xi32>, tensor<i32>) -> tensor<!tf_type.variant<tensor<*x!tf_type.variant>>> # CHECK: tf.TensorListSetItem{{.*}}(tensor<!tf_type.variant<tensor<*xf32>>>, tensor<i32>, tensor<2x2xf32>) -> tensor<*x!tf_type.variant>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 29 04:41:05 UTC 2021 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/unroll_batch_matmul.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 2.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow_to_stablehlo/python/integration_test/tensorflow_to_stablehlo_test.py
module = ir.Module.parse(module_bytecode) self.assertIn('stablehlo.add %arg0, %cst : tensor<4xf32>', str(module)) def test_tf_mlir_to_stablehlo(self): assembly = """ module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 268 : i32}} { func.func @main(%arg0 : tensor<?xf32>) -> tensor<?xf32> { %cst = "tf.Const"() {value = dense<1.0> : tensor<f32>} : () -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 22:58:42 UTC 2024 - 2.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/cc/convert_asset_args_test.cc
OwningOpRef<ModuleOp> module_op = ParseModuleOpString(R"mlir( module { "tf_saved_model.global_tensor"() {type = tensor<2xi32>, value = dense<2> : tensor<2xi32>, sym_name = "__tf_saved_model_x"} : () -> () func.func @main(%arg_0: tensor<!tf_type.resource<tensor<2xi32>>> {tf_saved_model.bound_input = @__tf_saved_model_x}) -> () attributes {tf.entry_function = {inputs = "arg_0:0", outputs = ""}} { return }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/push-tpose-through-ewise.mlir
%perm = arith.constant dense<[1, 0]> : tensor<2xi32> %0 = "tfl.transpose"(%arg0, %perm) : (tensor<2x3xi32>, tensor<2xi32>) -> tensor<3x2xi32> %cst = arith.constant dense<[[1, 2], [3, 4], [5, 6]]> : tensor<3x2xi32> %1 = tfl.add %0, %cst { fused_activation_function = "NONE" } : tensor<3x2xi32> func.return %1 : tensor<3x2xi32> } // CHECK: %cst = arith.constant dense<[1, 0]> : tensor<2xi32> // CHECK: [1, 3, 5], [2, 4, 6]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 8.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/tf_to_quant.mlir
// CHECK: return %[[DEQUANTIZE]] : tensor<8xf32> } // CHECK-LABEL: fakeQuantNotFolded func.func @fakeQuantNotFolded(tensor<8xf32>, tensor<f32>, tensor<f32>) -> (tensor<8xf32>) { ^bb0(%arg0: tensor<8xf32>, %arg3: tensor<f32>, %arg4: tensor<f32>): %1 = "tf.FakeQuantWithMinMaxVars"(%arg0, %arg3, %arg4) {num_bits = 5, narrow_range = false} : (tensor<8xf32>, tensor<f32>, tensor<f32>) -> tensor<8xf32> func.return %1 : tensor<8xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 9.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/fold_broadcast.mlir
%cst0 = mhlo.constant dense<[1.0, 2.0, 3.0, 4.0]> : tensor<4xf32> %cst1 = mhlo.constant dense<[[[[1.0, 2.0, 3.0, 4.0], [5.0, 6.0, 7.0, 8.0]]]]> : tensor<1x1x2x4xf32> %0 = "mhlo.broadcast_in_dim"(%cst0) <{broadcast_dimensions = dense<3> : tensor<1xi64>}> : (tensor<4xf32>) -> tensor<1x1x2x4xf32> %1 = mhlo.multiply %0, %cst1 : tensor<1x1x2x4xf32>
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/tensorflow/tests/tf_saved_model/include_variables_in_init_v1.py
# CHECK-SAME: tf_saved_model.initializer_type = "init_op" # CHECK-SAME: } # CHECK-DAG: %[[CST_0:.*]] = "tf.Const"() <{{{.*dense<.*> : tensor<2xi32>.*}}}> {{{.*}}} : () -> tensor<2xi32> # CHECK: %[[RAND_STD_NORMAL:.*]] = "tf.RandomStandardNormal"(%[[CST_0]]) # CHECK: "tf.AssignVariableOp"(%[[ARG_0]], %[[RAND_STD_NORMAL]]){{.*}}: (tensor<!tf_type.resource<tensor<1x3xf32>>>, tensor<1x3xf32>) -> ()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:49:35 UTC 2023 - 3.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/stringescape.mlir
// CHECK-NEXT: s: " 0\n\000\000" tf_executor.graph { %0:2 = tf_executor.island wraps "tf.Placeholder"() {name = "dummy", dtype = "tfdtype$DT_INT32", value = "\200\n\00\00", listvalue = ["\20\0A"]} : () -> tensor<2xi32> tf_executor.fetch } func.return
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 556 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/strip_saved_module_metadata.mlir
func.func @f(%arg0: tensor<!tf_type.resource<tensor<?xf32>>> {tf_saved_model.bound_input = @v}) -> (tensor<!tf_type.resource<tensor<?xf32>>> {tf_saved_model.index_path = []}) attributes {tf_saved_model.exported_names = ["f"]} { // CHECK: return return %arg0 : tensor<!tf_type.resource<tensor<?xf32>>> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Sep 30 01:28:41 UTC 2022 - 712 bytes - Viewed (0)