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Results 101 - 110 of 641 for unique_ptr (0.22 sec)
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tensorflow/compiler/mlir/lite/quantization/quantization_passes.h
std::unique_ptr<OperationPass<func::FuncOp>> CreateImportQuantStatsPass( OperationToName op_to_name, const std::string& stats_str); // Creates an instance pass to import quantization stats to the operations in // the function. A custom method to get the name from the op is used because // different dialect ops might have different ways to assign the name. std::unique_ptr<OperationPass<func::FuncOp>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 07 18:43:51 UTC 2022 - 1.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/drop_while_shape_invariant.cc
cluster.walk([](Operation* op) { DropWhileShapeInvariantAttr(op); }); }); } } // namespace std::unique_ptr<OperationPass<func::FuncOp>> CreateDropWhileShapeInvariantPass() { return std::make_unique<DropWhileShapeInvariantPass>(); } std::unique_ptr<OperationPass<func::FuncOp>> CreateDropWhileShapeInvariantInDeviceClusterPass() {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Oct 05 23:50:19 UTC 2022 - 2.4K bytes - Viewed (0) -
tensorflow/compiler/jit/pjrt_tensor_buffer.h
// also owns a PjRtBuffer for XLA kernel's usage. class PjRtTensorBuffer : public TensorBuffer { public: PjRtTensorBuffer(const void* ptr, size_t expected_size, std::unique_ptr<xla::PjRtBuffer> pjrt_buffer) : TensorBuffer(const_cast<void*>(ptr)), expected_size_(expected_size), pjrt_buffer_(std::move(pjrt_buffer)) {} size_t size() const override { return expected_size_; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 2K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.h
return TensorHandlePtr(result_handle); } template <typename value_type> void ExpectScalarEq(TFE_TensorHandle* handle, value_type expected_value) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)> actual_value( TFE_TensorHandleResolve(handle, status.get()), TF_DeleteTensor);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 09 01:12:35 UTC 2021 - 6.9K bytes - Viewed (0) -
tensorflow/compiler/jit/pjrt_device_context.cc
#include "tensorflow/core/tfrt/common/async_value_tensor.h" #include "tensorflow/core/tfrt/common/create_pjrt_client_util.h" #include "tsl/framework/device_id_utils.h" namespace tensorflow { namespace { absl::StatusOr<std::unique_ptr<xla::PjRtBuffer>> HostTensorToPjRtBuffer( const tensorflow::Tensor* cpu_tensor, tensorflow::Device* device, xla::PjRtClient* pjrt_client, const XlaShapeLayoutHelpers::ShapeDeterminationFns
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 08:49:31 UTC 2024 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/ir/Passes.h
class FuncOp; } // namespace func namespace quantfork { /// Creates a pass that converts quantization simulation operations (i.e. /// FakeQuant and those like it) to casts into/out of supported QuantizedTypes. std::unique_ptr<OperationPass<func::FuncOp>> createConvertSimulatedQuantPass(); /// Creates a pass that converts constants followed by a qbarrier to a /// constant whose value is quantized. This is typically one of the last
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jul 29 18:55:28 UTC 2022 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_device_compiler_client.h
class XlaDeviceCompilerClient : public DeviceCompilerClient<xla::LocalExecutable, xla::LocalClient> { public: explicit XlaDeviceCompilerClient(xla::LocalClient* client) : client_(client) {} absl::StatusOr<std::unique_ptr<xla::LocalExecutable>> BuildExecutable( const XlaCompiler::Options& options, const XlaCompiler::CompilationResult& result) override; // Returns a serialized AOT result obtained by exporting the available
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 09:53:30 UTC 2024 - 2.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/ops/tf_op_quant_spec.h
// Returns the spec for the given operation that can be used for both of // dynamic and static range quantization. std::unique_ptr<OpQuantSpec> GetTFOpQuantSpec(Operation* op); // Returns quantization scale specs (fixed output, same scale) for a TF op. std::unique_ptr<OpQuantScaleSpec> GetTfQuantScaleSpec(Operation* op); } // namespace quant } // namespace mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 05 07:39:40 UTC 2024 - 2.5K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/core/saved_model_utils.cc
Status LoadTFConcreteFunction( const SavedConcreteFunction& saved_concrete_function, const FunctionDef* function_def, const std::unordered_map<int, std::unique_ptr<TensorHandleConvertible>>& captured_objects, ImmediateExecutionContext* ctx, std::unique_ptr<TFConcreteFunction>* out) { TF_RETURN_IF_ERROR(ValidateSavedFunctionCompatibleWithFunctionDef( saved_concrete_function, function_def));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jan 12 19:17:46 UTC 2023 - 24K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.h
Status TestTensorHandleWithDims(AbstractContext* ctx, const T* data, const int64_t* dims, int num_dims, AbstractTensorHandle** tensor) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); TFE_Context* eager_ctx = TF_ExecutionContextGetTFEContext(wrap(ctx), status.get());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 27 13:57:45 UTC 2024 - 4K bytes - Viewed (0)