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Results 1 - 3 of 3 for PaddedShapeFn (0.14 sec)

  1. tensorflow/compiler/jit/xla_device.h

      // Given a tensor, sets `xla::Shape*` the shape of tensor's representation
      // on device, fully padded. On error, the contents of `xla::Shape*`
      // are undefined.
      typedef std::function<Status(const Tensor&, xla::Shape*)> PaddedShapeFn;
    
      // Wrapper class to store metadata about the XlaDevice, where it can be
      // retrieved e.g., when lazily creating the XlaCompilationCache device.
      class Metadata {
       public:
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Feb 21 09:53:30 UTC 2024
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  2. tensorflow/compiler/jit/xla_device.cc

    #include "tensorflow/core/util/device_name_utils.h"
    #include "tensorflow/core/util/dump_graph.h"
    #include "tensorflow/core/util/stream_executor_util.h"
    
    namespace tensorflow {
    
    // Default PaddedShapeFn implementation that simply returns the unpadded
    // on-device shape. This is accurate for CPU and GPU devices that neither
    // transpose nor pad tensors.
    Status DefaultPaddedShapeFn(const Tensor& tensor, xla::Shape* shape) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon May 20 21:05:42 UTC 2024
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  3. tensorflow/compiler/jit/xla_compiler_options_util_test.cc

        DeviceType compilation_device_type) {
      return std::make_unique<XlaDevice::Metadata>(
          /*device_ordinal=*/0, /*platform=*/nullptr, compilation_device_type,
          GetShapeDeterminationFns(), XlaDevice::PaddedShapeFn(),
          /*use_multiple_streams=*/false);
    }
    
    std::unique_ptr<PjRtBaseDevice::Metadata> CreatePjRtDeviceMetadata(
        DeviceType compilation_device_type) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Dec 29 01:41:20 UTC 2023
    - 14.8K bytes
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