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tensorflow/compiler/mlir/quantization/tensorflow/python/representative_dataset.py
sess: Session instance used to evaluate tf.Tensors. Returns: The new representative dataset where each tf.Tensor is replaced by its evaluated numpy ndarrays. """ new_repr_ds = [] for sample in repr_ds: new_sample = {} for input_key, input_data in sample.items(): # Evaluate the Tensor to get the actual value. if isinstance(input_data, core.Tensor):
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 22:55:22 UTC 2024 - 14.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/py_function_lib.py
) from ex def _convert_values_to_tf_tensors( sample: rd.RepresentativeSample, ) -> Mapping[str, core.Tensor]: """Converts TensorLike values of `sample` to Tensors. Creates a copy of `sample`, where each value is converted to Tensors unless it is already a Tensor. The values are not converted in-place (i.e. `sample` is not mutated). Args:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 05:32:11 UTC 2024 - 27.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/lstm.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 06 18:55:51 UTC 2023 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/lstm_asym_attr.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 06 18:55:51 UTC 2023 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_launch_util.cc
for (auto arg_num : input_mapping) { const Tensor* tensor; if (auto it = variable_snapshots.find(arg_num); it != variable_snapshots.end()) { tensor = it->second; } else { tensor = inputs[arg_num - num_missing_prefix_ctx_inputs]; } // The input tensor can have the following cases. // 1. Tensor with PjRtTensorBuffer, containing a PjRtBuffer. This case
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 00:36:08 UTC 2024 - 40.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/unidirectional_sequence_lstm.mlir
func.func @main(tensor<4x4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4x4xf32>, tensor<4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>) -> tensor<4x4x4xf32> { // CHECK: { // CHECK-NEXT: version: 3,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 06 18:55:51 UTC 2023 - 11.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_config.h
// quantization aware training or calibration, for the remaining tensors. std::vector<std::pair<std::optional<double>, std::optional<double>>> input_ranges; // Whether to disable setting the quantization parameters of the input nodes // using input ranges. bool disable_set_input_nodes_quantization_params = false; // The default ranges can be used when a tensor doesn't have quantization
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 13 10:16:19 UTC 2024 - 10.8K bytes - Viewed (0) -
tensorflow/c/eager/dlpack.cc
status->status = tensorflow::errors::InvalidArgument( "DLPack doesn't support ", handle->TypeString(), " tensor"); return nullptr; } const tensorflow::Tensor* tensor; status->status = handle->Tensor(&tensor); if (!status->status.ok()) { return nullptr; } return tensor; } // Deleter for DLManagedTensor void DLManagedTensorDeleter(DLManagedTensor* arg) { TfDlManagedTensorCtx* owner =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 15 09:49:45 UTC 2024 - 12.8K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_tpu_device.cc
} return tpu_shape.AsCpp<xla::Shape>(); } // Given a tensor, returns the shape of its representation on device, // fully padded. Contents of `shape` are undefined on error. Status TpuPaddedShapeFn(const Tensor& tensor, xla::Shape* shape) { const tensorflow::XlaTensor* xla_tensor = tensorflow::XlaTensor::FromTensor(&tensor); if (xla_tensor == nullptr) { return errors::InvalidArgument(
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/c/eager/parallel_device/parallel_device_lib.cc
for (int component_index = 0; component_index < tensors_.size(); ++component_index) { // TODO(allenl): Add a C API for summarizing tensors. Currently custom // devices limiting themselves to a C API (for ABI compatibility) would need // to implement summarization for component tensors themselves. ImmediateExecutionTensorHandle* component = tensorflow::unwrap(tensors_[component_index].get());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Feb 09 07:47:20 UTC 2024 - 25.4K bytes - Viewed (0)