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platforms/core-execution/workers/src/test/groovy/org/gradle/workers/internal/WorkerDaemonClientsManagerTest.groovy
def "does not reserve idle client when no clients"() { expect: manager.reserveIdleClient(options) == null } def "does not reserve idle client when no matching client found"() { def noMatch = Stub(WorkerDaemonClient) { isCompatibleWith(_) >> false }
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Mar 21 14:56:11 UTC 2024 - 10.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/python/saved_model_to_tfl_flatbuffer.cc
mlir::DictionaryAttr tf_attrs = entry_function->getAttrOfType<mlir::DictionaryAttr>("tf.entry_function"); llvm::SmallVector<llvm::StringRef, 4> function_input_names; function_input_names.reserve(model_flags.input_arrays().size()); auto input_attr = tf_attrs.get("inputs"); if (!input_attr) { return errors::InvalidArgument("no inputs attribute found"); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun May 12 12:39:37 UTC 2024 - 11K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/passes/extract_outside_compilation.cc
llvm::ArrayRef<Value> outputs, OpBuilder* builder) { llvm::SmallVector<Type, 4> operand_types; operand_types.reserve(inputs.size()); for (Value v : inputs) operand_types.emplace_back(v.getType()); llvm::SmallVector<Type, 4> output_types; output_types.reserve(outputs.size()); for (Value v : outputs) output_types.emplace_back(v.getType());
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/compiler/mlir/lite/transforms/post_quantize.cc
mlir::OpBuilder builder(func.getBody()); auto& bb = func.front(); auto loc = func.getLoc(); int num_args = bb.getNumArguments(); llvm::SmallVector<Type, 4> input_types; input_types.reserve(num_args); // Edit the block arguments and create the new input ops in place to replace // the old input ops and quantize ops. for (int i = 0; i != num_args; ++i) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 17.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/attribute_utils.cc
if (!attr) return success(); // ID pairs are separated by `,`. llvm::SmallVector<std::string, 8> str_list = absl::StrSplit(attr.getValue().str(), ',', absl::SkipWhitespace()); id_pairs.reserve(str_list.size()); for (const std::string& str : str_list) { // IDs of one pair are separated by `:`. llvm::SmallVector<std::string, 8> id_pair = absl::StrSplit(str, ':'); // Check for malformed IDs.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 3.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/tpu_rewrite_device_util.cc
GetTPUDevices(ParsedDevices devices, llvm::ArrayRef<ParsedDevice> system_devices) { llvm::SmallVector<llvm::SmallVector<ParsedDevice, 8>, 8> tpu_devices; tpu_devices.reserve(system_devices.size()); auto lookup = [&devices](ParsedDevice device_spec) { device_spec.has_type = true; device_spec.type = kDeviceTPU; // Enumerate all the available TPUs.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jun 10 20:10:40 UTC 2024 - 32.8K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
std::vector<int64_t> targets; std::vector<Gradient*> used_in_grads; // We may end up with slightly fewer elements than we reserve, but grad.size() // should be a reasonably tight upper bound. targets.reserve(grad.size()); used_in_grads.reserve(grad.size()); std::unordered_map<int64_t, TapeTensor> sources_that_are_targets; for (int grad_index = 0, end = grad.size(); grad_index < end; ++grad_index) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 02 12:40:29 UTC 2024 - 47.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/quantization_patterns.h
IsWeightOnlyQuantizableOp(*candidate_op); // Collect all the quantized inputs and "clone" the matched op by these // inputs. SmallVector<Value, 4> inputs; inputs.reserve(candidate_op->getNumOperands()); for (auto operand : candidate_op->getOperands()) { Type operand_type = operand.getType(); if (mlir::isa<NoneType>(operand_type)) { inputs.push_back(operand);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 10.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/fold_broadcast_pass.cc
operand_new_shape[dimensions[i]] = operand.getType().getDimSize(i); } llvm::SmallVector<ElementValueT, 16> new_values; auto num_elements = result_type.getNumElements(); new_values.reserve(num_elements); auto operand_values = operand.getValues<ElementValueT>(); for (int64_t i = 0; i < num_elements; ++i) { const int64_t operand_index = GetElementIndex(operand_new_shape, current_index);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 10.5K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_device_compiler_client.cc
#include "xla/client/local_client.h" namespace tensorflow { namespace { std::vector<const xla::Shape*> GetShapePointers( absl::Span<const xla::Shape> shapes) { std::vector<const xla::Shape*> shape_ptrs; shape_ptrs.reserve(shapes.size()); for (const auto& shape : shapes) { shape_ptrs.push_back(&shape); } return shape_ptrs; } } // namespace absl::StatusOr<std::unique_ptr<xla::LocalExecutable>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 09:53:30 UTC 2024 - 4.1K bytes - Viewed (0)