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Results 11 - 20 of 120 for _output_shapes (0.15 sec)
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tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/output-shapes-attr.pbtxt
} } versions { producer: 29 min_consumer: 12 } # Verify that functions from the library are properly imported. # CHECK-LABEL: func @main() { # CHECK: "tf.Placeholder"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 24 00:20:25 UTC 2020 - 426 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/string-attr.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 29 04:41:05 UTC 2021 - 713 bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/device_conversion.mlir
%arg1: tensor<1x3xf32> {tf_saved_model.index_path = [0]}) -> (tensor<3x3xf32> {tf_saved_model.index_path = []}) { // CHECK: {{%.*}} = corert.get_op_handler %arg0 "/device:GPU:0" %2 = "tf.MatMul"(%arg0, %arg1) {T = f32, _output_shapes = ["tfshape$dim { size: 3 } dim { size: 3 }"], device = "/device:GPU:0", transpose_a = false, transpose_b = false} : (tensor<3x1xf32>, tensor<1x3xf32>) -> tensor<3x3xf32> func.return %2 : tensor<3x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 00:18:59 UTC 2024 - 645 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/device-arg-retval-attr.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Dec 07 17:45:22 UTC 2020 - 1.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/tf_tpu_embedding_ops.mlir
tf_executor.fetch } func.return } // CHECK: name: "RecvTPUEmbedding" // CHECK-NEXT: op: "RecvTPUEmbeddingActivations" // CHECK-NEXT: attr { // CHECK-NEXT: key: "_output_shapes" // CHECK-NEXT: value { // CHECK-NEXT: list { // CHECK-NEXT: shape { // CHECK-NEXT: dim { // CHECK-NEXT: size: 512 // CHECK-NEXT: } // CHECK-NEXT: dim {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 14 15:35:49 UTC 2023 - 1.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/tf-legacy-call.mlir
tf_executor.fetch %arg0 : tensor<*xi32> } func.return %0 : tensor<*xi32> } // CHECK: node { // CHECK: name: "tf.LegacyCall" // CHECK-NEXT: op: "foo0" // CHECK: attr { // CHECK-NEXT: key: "_output_shapes" // CHECK-NEXT: value { // CHECK-NEXT: list { // CHECK-NEXT: shape { // CHECK: attr { // CHECK-NEXT: key: "_tpu_replicate" // CHECK-NEXT: value { // CHECK-NEXT: s: "cluster"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 1.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/mlir_import_options.h
// general. struct MLIRImportOptions { // If true, functionalize the input graph before importing it into MLIR. bool upgrade_legacy = false; // Whether to unconditionally use the shape set via _output_shapes on import. bool unconditionally_use_set_output_shapes = false; // Apply default attributes from the op definition to the loaded op. bool add_default_attributes = true;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 20 13:19:26 UTC 2023 - 2.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/export_tf_dialect_op.h
// `ignore_unregistered_attrs` argument is set to true, the attributes which are // not in the op registry will be ignored. If the `ignore_unregistered_attrs` // argument is not set to true, _output_shapes attribute is added to nodes with // ShapedType for the leading values with ShapedType in the results of the // nodes. Set it to true if the returned NodeDef will be executed by the linked // TF Eager runtime.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 11:17:36 UTC 2024 - 2.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/export_tf_dialect_op.cc
end++; if (begin != end) { mlir::TF::ResultShapeRange output_shapes = { mlir::TF::ResultShapeIterator(begin), mlir::TF::ResultShapeIterator(end)}; SetShapeAttribute("_output_shapes", output_shapes, attributes); } } return absl::OkStatus(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 11:17:36 UTC 2024 - 11.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
%4 = "tf.Add"(%2, %arg2) : (tensor<?x8x10xf32>, tensor<8x10xf32>) -> tensor<?x8x10xf32> %5 = "tf.Add"(%arg1, %arg2) : (tensor<8x10xf32>, tensor<8x10xf32>) -> tensor<8x10xf32> %6 = "tf.Const"() {_output_shapes = ["tfshape$"], device = "/device:CPU:0", dtype = f32, value = dense<1.000000e+00> : tensor<f32>} : () -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0)