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Results 1 - 5 of 5 for padded_shape_fn (0.25 sec)
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tensorflow/compiler/jit/xla_device.h
std::vector<XlaShapeLayoutHelpers::ShapeDeterminationFns> shape_determination_fns; // If padded_shape_fn is empty, a default implementation that returns // the logical on-device shape without padding is used. PaddedShapeFn padded_shape_fn; // Set of devices to use. This controls which of the devices on the given // platform will have resources allocated. For GPUs this will be
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 09:53:30 UTC 2024 - 13.4K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_device.cc
shape_determination_fns, PaddedShapeFn padded_shape_fn, bool use_multiple_streams) : device_ordinal_(device_ordinal), device_type_(device_type), platform_(platform), shape_determination_fns_(std::move(shape_determination_fns)), padded_shape_fn_(std::move(padded_shape_fn)), use_multiple_streams_(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) -
tensorflow/compiler/jit/xla_tpu_device.cc
XlaShapeLayoutHelpers::ShapeDeterminationFns shape_determination_fns{ UseNoPreferenceLayoutFn(), &TpuShapeRepresentation}; options.shape_determination_fns = {shape_determination_fns}; options.padded_shape_fn = &TpuPaddedShapeFn; auto device = std::make_unique<XlaDevice>(session_options, options); // The AcceleratorDeviceInfo actually provides information not only for GPU
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 22:53:47 UTC 2024 - 20.9K bytes - Viewed (0) -
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 - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.cc
auto padded_shape_i = padded_shape[1 + i]; auto block_shape_ints_i = block_shape_ints[i]; // Compute the outer_shape constant values to infer the reshape. if (padded_shape_i == -1 || block_shape_ints_i == -1) { outer_shape_ints.push_back(-1); } else { outer_shape_ints.push_back(padded_shape_i / block_shape_ints_i); } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 74.9K bytes - Viewed (0)