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tensorflow/compiler/mlir/tf2xla/internal/passes/extract_outside_compilation.cc
// Create return op for device computation region in the paralle_execute op Operation* after_op_r = builder.create<mlir::tf_device::ReturnOp>( new_device_cluster.getLoc(), device_results); builder.setInsertionPointToEnd(¶llel_execute_device_block); // Create return op for the new device cluster op builder.create<mlir::tf_device::ReturnOp>(device_cluster.getLoc(),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 21:25:12 UTC 2024 - 68.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test.cc
// only worker 1. // 2. Create a context B using A. // 3. Create the variable in B. // 4. Create another single host server def C with only worker 0. // 5. Start the GRPC server for worker 0 using C. // 6. Create a context D using the full cluster server def E. // 7. Read the variable in D. TEST(CAPI, SingleHostServerDefV1Works) { // Create a server def that represents a 2-process cluster and a client.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Aug 03 20:50:20 UTC 2023 - 94.6K bytes - Viewed (0) -
tensorflow/c/kernels_test.cc
#include "tensorflow/core/platform/types.h" struct MyCustomKernel { bool created; bool compute_called; }; static bool delete_called = false; static bool async_kernel_done = false; static void* MyCreateFunc(TF_OpKernelConstruction* ctx) { struct MyCustomKernel* s = new struct MyCustomKernel; s->created = true; s->compute_called = false; // Exercise attribute reads. TF_DataType type;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 50.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc
auto begin_op = rewriter.create<arith::ConstantOp>(op->getLoc(), type, begin_attr); auto end_attr = DenseElementsAttr::get<int32_t>(type, padded_end); auto end_op = rewriter.create<arith::ConstantOp>(op->getLoc(), type, end_attr); auto stride_attr = DenseElementsAttr::get<int32_t>(type, padded_stride); auto stride_op = rewriter.create<arith::ConstantOp>(op->getLoc(), type, stride_attr);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 64.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/lower_static_tensor_list.cc
tensorflow::GetTypeFromTFTensorShape({1}, shape_dtype); auto expanded_start_index = rewriter->create<TF::ExpandDimsOp>( loc, vector_type, start_index, scalar_zero); auto start_position = rewriter->create<TF::ConcatOp>( loc, position_type, scalar_zero, ArrayRef<Value>({expanded_start_index, partial_start_position})); // Create the slice size tensor. This is done by concatenating `size` and // `partial_size`.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 70.7K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
TF_Run(session, run_options, nullptr, nullptr, 0, nullptr, nullptr, 0, nullptr, 0, run_metadata, s); EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s)) << TF_Message(s); EXPECT_EQ("Session was not created with a graph before Run()!", string(TF_Message(s))); TF_DeleteBuffer(run_metadata); TF_DeleteBuffer(run_options); TF_DeleteDeprecatedSession(session, s);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 15 03:35:10 UTC 2024 - 96.9K bytes - Viewed (0) -
tensorflow/compiler/jit/encapsulate_subgraphs_pass.cc
// Creates a _Retval node for the src node of edge, and add it to results_, // if none exists yet. If a new _Retval node is created, also adds the edge // within the subgraph from the src to the _Retval node. Status RecordResult( const Edge* edge, const absl::flat_hash_map<const Node*, Node*>& node_images);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 51K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantize_composite_functions.cc
TensorType zero_point_type = scale_type.clone(rewriter.getI32Type()); scale = rewriter.create<TF::ConstOp>( loc, scale_type, DenseFPElementsAttr::get(scale_type, {static_cast<float>(qtype.getScale())})); zero_point = rewriter.create<TF::ConstOp>( loc, zero_point_type, DenseIntElementsAttr::get(zero_point_type,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 54.5K bytes - Viewed (0) -
tensorflow/c/c_api_function_test.cc
void RunT(const std::vector<std::pair<TF_Operation*, TF_Tensor*>>& inputs, std::initializer_list<TF_Output> outputs, const std::vector<std::vector<int32_t>>& expected_results) { // Create a session for this graph CSession csession(host_graph_, s_); ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_); // Run csession.SetInputs(inputs); csession.SetOutputs(outputs);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 20 22:08:54 UTC 2023 - 63.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/resource_op_lifting.cc
// (a) read-only. These reads can be replaced by a hoisted read created // before the WhileOp (similar to if and case). // (b) written: since the value is written in the loop (which can only in // loop body, all these will become loop variables. Since all resource // variables are removed from the loop variabled during // canonicalizationW, we need to create new operand/result slots. The
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 55.1K bytes - Viewed (0)