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Results 11 - 13 of 13 for shape_representation_fn (0.23 sec)
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tensorflow/compiler/jit/pjrt_base_device.cc
metadata_(DeviceType(options.compilation_device_name), options.shape_determination_fns) { if (options.shape_determination_fns.empty()) { LOG(ERROR) << "shape_representation_fns must be non-empty."; } VLOG(1) << "Created PJRT base device " << options.compilation_device_name << " device_name: " << name(); } /*static*/ absl::StatusOr<const PjRtBaseDevice::Metadata*>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 2.5K bytes - Viewed (0) -
tensorflow/compiler/jit/pjrt_base_device.h
// (e.g., "XLA_CPU_JIT"); std::string compilation_device_name; // A vector of ShapeDeterminationFn (i.e., a bundle of LayoutSelectionFn, // ShapeRepresentationFn). Each bundle describes how the on-host shapes of // a) argument and return value, for entry computations b) variables, for // all computations, should be represented in XLA. Parameters/return values
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 4K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_device.cc
allowed_devices_(options.allowed_devices), use_global_compute_stream_(options.use_global_compute_stream) { if (options.shape_determination_fns.empty()) { LOG(ERROR) << "shape_representation_fns must be non-empty."; } VLOG(1) << "Created XLA device " << options.compilation_device_name << " " << options.device_ordinal << " " << this; VLOG(1) << "XlaDevice options: use_multiple_streams: "
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 20 21:05:42 UTC 2024 - 24.3K bytes - Viewed (0)