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src/main/java/jcifs/smb1/smb1/SmbTree.java
*/ int connectionState; int tid; String share; String service = "?????"; String service0; SmbSession session; boolean inDfs, inDomainDfs; int tree_num; // used by SmbFile.isOpen SmbTree( SmbSession session, String share, String service ) { this.session = session; this.share = share.toUpperCase(); if( service != null && service.startsWith( "??" ) == false ) {
Registered: Wed Jun 12 15:45:55 UTC 2024 - Last Modified: Fri Mar 22 21:10:40 UTC 2019 - 8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/unidirectional_sequence_lstm.mlir
// CHECK-NEXT: }, { // CHECK-NEXT: shape: [ 0 ], // CHECK-NEXT: name: "input_to_input_intermediate", // CHECK-NEXT: has_rank: true // CHECK-NEXT: }, { // CHECK-NEXT: shape: [ 0 ], // CHECK-NEXT: name: "input_to_forget_intermediate", // CHECK-NEXT: has_rank: true // CHECK-NEXT: }, { // CHECK-NEXT: shape: [ 0 ], // CHECK-NEXT: name: "input_to_cell_intermediate",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 06 18:55:51 UTC 2023 - 11.7K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util_test.cc
auto c_api_client = down_cast<xla::PjRtCApiClient*>(pjrt_client->get()); std::vector<int32_t> data(1, 0); xla::Shape shape = xla::ShapeUtil::MakeShape(xla::S32, {1}); auto buffer = c_api_client->pjrt_c_client()->client->BufferFromHostBuffer( data.data(), shape.element_type(), shape.dimensions(), /*byte_strides=*/std::nullopt, xla::PjRtClient::HostBufferSemantics::kImmutableOnlyDuringCall, nullptr,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 01 16:29:40 UTC 2024 - 7.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/name_anonymous_iterators.mlir
%0 = "tf.AnonymousIteratorV3"() {output_shapes = [ #tf_type.shape<200x28x28x1>, #tf_type.shape<200x10>], output_types = [f32, f32]} : () -> tensor<!tf_type.resource> // CHECK: "tf.Iterator" // CHECK-SAME: shared_name = "_iterator2" %1 = "tf.AnonymousIteratorV3"() {output_shapes = [ #tf_type.shape<200x10>], output_types = [f32]} : () -> tensor<!tf_type.resource> return } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Oct 14 09:25:38 UTC 2022 - 1.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/strip_tf_attributes.mlir
return %arg4 : tensor<10xf32> } // ----- // CHECK-LABEL: strips_attributes_with_tf_values // CHECK-NOT: tf func.func @strips_attributes_with_tf_values() attributes {foo = #tf_type.shape<32x28x28x1>} { return } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 25 20:04:10 UTC 2022 - 1.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/lstm.mlir
// CHECK-NEXT: subgraphs: [ { // CHECK-NEXT: tensors: [ { // CHECK-NEXT: shape: [ 1, 4 ], // CHECK-NEXT: buffer: 1, // CHECK-NEXT: name: "arg0", // CHECK-NEXT: quantization: { // CHECK-EMPTY: // CHECK-NEXT: }, // CHECK-NEXT: has_rank: true // CHECK-NEXT: }, { // CHECK-NEXT: shape: [ 4, 4 ], // CHECK-NEXT: buffer: 2, // CHECK-NEXT: name: "arg1",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 06 18:55:51 UTC 2023 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/lstm_asym_attr.mlir
// CHECK-NEXT: subgraphs: [ { // CHECK-NEXT: tensors: [ { // CHECK-NEXT: shape: [ 1, 4 ], // CHECK-NEXT: buffer: 1, // CHECK-NEXT: name: "arg0", // CHECK-NEXT: quantization: { // CHECK-EMPTY: // CHECK-NEXT: }, // CHECK-NEXT: has_rank: true // CHECK-NEXT: }, { // CHECK-NEXT: shape: [ 4, 4 ], // CHECK-NEXT: buffer: 2, // CHECK-NEXT: name: "arg1",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 06 18:55:51 UTC 2023 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/utils.h
return transposed_type; } // Returns shape of a ranked tensor. // Precondition: output_val's is ranked tensor. // Returns a truncated shape when `truncate` is set to true. inline DenseElementsAttr GetShape(Value output_val, bool truncate = false) { auto output_shape = output_val.getType().dyn_cast<ShapedType>().getShape(); SmallVector<int32_t> shape; shape.reserve(output_shape.size());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 11.6K bytes - Viewed (0) -
tensorflow/cc/experimental/libtf/runtime/runtime.h
"Shape must be fully-defined, got: shape[", dim, "] = ", shape[dim])); } num_elements *= shape[dim]; } if (data.size() != num_elements) { return tensorflow::errors::InvalidArgument(absl::StrCat( "Mismatched shape and data size: \n", "Shape num_elements: ", num_elements, "\n", "Data size: ", data.size(), "\n")); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Sep 01 11:18:25 UTC 2022 - 4.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v1/compile_mlir_util.cc
// Extracts shape from XlaArgument as TensorShape. If shape is a xla::Shape, // that is converted to a TensorShape. absl::StatusOr<TensorShape> GetTensorShapeFromXlaArgument( const XlaArgument& arg) { if (absl::holds_alternative<xla::Shape>(arg.shape)) { TensorShape arg_shape; TF_RETURN_IF_ERROR( XLAShapeToTensorShape(std::get<xla::Shape>(arg.shape), &arg_shape)); return arg_shape;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 17:24:39 UTC 2024 - 45.3K bytes - Viewed (0)