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Results 21 - 30 of 38 for while_node (0.25 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/tests/unfreeze_constants.mlir
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/tfrt/tests/mlrt/while_to_map_fn.mlir
%2 = "tf.LogicalAnd"(%0, %1) {device = "/job:localhost/replica:0/task:0/device:CPU:0"} : (tensor<i1>, tensor<i1>) -> tensor<i1> return %2 : tensor<i1> } // CHECK-LABEL: map/while_body func.func private @"map/while_body"(%arg0: tensor<i32>, %arg1: tensor<i32>, %arg2: tensor<!tf_type.variant<tensor<*xf32>>>, %arg3: tensor<?xf32>) -> (tensor<i32>, tensor<i32>, tensor<!tf_type.variant<tensor<*xf32>>>, tensor<?xf32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 06:40:22 UTC 2024 - 68.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/resource-device-inference.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 17 16:01:45 UTC 2022 - 18.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_weights.mlir
%0:5 = "tf.While"(%cst_0, %cst, %cst_0, %arg0, %cst_1) {T = [i32, i32, i32, f32, f32],_lower_using_switch_merge = true, _num_original_outputs = 5 : i64, _read_only_resource_inputs = [], body = @while_body, cond = @while_cond, device = "", is_stateless = true, output_shapes = [#tf_type.shape<>, #tf_type.shape<>, #tf_type.shape<>, #tf_type.shape<1x1024>, #tf_type.shape<1024x1024>], parallel_iterations = 10 : i64, shape_invariant} : (tensor<i32>, tensor<i32>,...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 42K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/resource-alias-analysis-test.mlir
// expected-remark@below {{Result #2, ID 3 : 1, 2, 3, 5, 6}} %w:3 = "tf.While"(%arg0, %arg1, %arg2) { body = @while_body, cond = @while_cond, is_stateless = false } : (!tf_res, !tf_res, !tf_res) -> (!tf_res, !tf_res, !tf_res) func.return } // CHECK-LABEL: func @while_body // Return 0 : new unknown resource // Return 1 : arg2 // Return 2 : arg1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jul 21 17:19:47 UTC 2023 - 22.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/graph-input-func-arg-name-collision.pbtxt
# This check that we don't error out when importing GraphDef containing # functions with arg name that are the same as the graph input name # CHECK: func @main(%arg0: tensor<{{.*}}i32>) -> tensor<{{.*}}i32> # CHECK: func private @while_body # CHECK: func private @while_cond node { name: "input" op: "Placeholder" attr { key: "_user_specified_name" value { s: "input" } } attr { key: "dtype"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Nov 11 19:14:04 UTC 2020 - 4.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/tfl_while_outline.mlir
} // CHECK-LABEL: func @rnn( // CHECK: tfl.while // CHECK: tfl.yield // CHECK-SAME: (tensor<i1>) -> () // CHECK: [[VAL_30:%.*]]:7 = // CHECK: call @tfl.while_body // CHECK: tfl.yield // CHECK-SAME: (tensor<i32>, tensor<i32>, tensor<*xf32>, tensor<4x2xf32>, tensor<4x2xf32>, tensor<*xf32>, tensor<4x4x3xf32>) -> () // CHECK-LABEL: func private @tfl.while_cond(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/stack_ops_decomposition.mlir
"tf.StackCloseV2"(%stack) : (tensor<!tf_type.resource>) -> () // CHECK: return func.return } // CHECK: func @while_body(%[[BARG0:.*]]: tensor<!tf_type.resource<tensor<10xf32>>>, %[[BARG1:.*]]: tensor<i32>, %[[BARG2:.*]]: tensor<!tf_type.resource<tensor<1xi32>>>) func.func @while_body(%arg0: tensor<!tf_type.resource>, %arg1: tensor<i32>) -> (tensor<!tf_type.resource>, tensor<i32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 25.8K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/core/tf_saved_model_api.cc
// This is necessary because object graph functions may refer to functions // _not_ in the object graph: A while loop, for example, will create two // auxiliary `while_cond` and `while_body` functions that are only present in // the graph def function library. for (const FunctionDef& function : bundle.meta_graph_def().graph_def().library().function()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 27 09:34:33 UTC 2024 - 14.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tensor_array_ops_decomposition.mlir
func.return } // CHECK: func @while_body(%[[BARG0:.*]]: tensor<!tf_type.resource<tensor<5x3xf32>>>, %[[BARG1:.*]]: tensor<i32>, %[[BARG2:.*]]: tensor<!tf_type.resource<tensor<5x3xf32>>>) func.func @while_body(%arg0: tensor<!tf_type.resource>, %arg1: tensor<i32>) -> (tensor<!tf_type.resource>, tensor<i32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 49K bytes - Viewed (0)