- Sort Score
- Result 10 results
- Languages All
Results 131 - 140 of 1,398 for TensorT (0.14 sec)
-
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/jit/xla_tensor.cc
/*static*/ XlaTensor* XlaTensor::FromTensor(const Tensor* tensor) { if (tensor->NumElements() == 0) { return nullptr; } XlaTensor* xla_tensor = FromOpaquePointer(const_cast<char*>(tensor->tensor_data().data())); return xla_tensor; } /*static*/ se::DeviceMemoryBase XlaTensor::DeviceMemoryFromTensor( const Tensor& tensor) { const XlaTensor* xla_tensor = FromTensor(&tensor); if (xla_tensor) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/lstm.json
// CHECK-DAG: %[[input_18:.*]] = "quantfork.stats"({{.*}}) <{layerStats = dense<[-8.000000e-01, 1.600000e+00]> : tensor<2xf32>}> : (tensor<1x4xf32>) -> tensor<1x4xf32> // CHECK-DAG: %[[input_19:.*]] = "quantfork.stats"({{.*}}) <{layerStats = dense<[-2.000000e+00, 4.000000e+00]> : tensor<2xf32>}> : (tensor<1x2xf32>) -> tensor<1x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 06:25:50 UTC 2024 - 9.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/ir/mlrt/tf_ops.td
let summary = "Set a tensor in a promise"; let description = [{ Set a tensor in a promise. $promise: A value of type !mlrt.promise. The underlying value will always be a tensorflow tensor. $tensor: A tensorflow tensor. }]; let arguments = (ins MlrtPromiseType:$promise, TF_Tensor:$tensor ); } def TFMapFnOp : TensorflowMlrt_Op<"tf_map_fn", [AttrSizedOperandSegments, Pure]> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 21:35:32 UTC 2024 - 6.7K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.h
// drop below the capacity due to dequeuing. // // Tensors are dequeued via the corresponding TF dequeue op. // TODO(hongm): Add support for `timeout_ms`. TF_CAPI_EXPORT extern void TF_EnqueueNamedTensor(TF_Session* session, int tensor_id, TF_Tensor* tensor,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 27 21:07:00 UTC 2023 - 15.1K 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/jit/xla_device_context.h
void CopyCPUTensorToDevice(const Tensor* cpu_tensor, Device* device, Tensor* device_tensor, StatusCallback done, bool sync_dst_compute) const override; void CopyDeviceTensorToCPU(const Tensor* device_tensor, absl::string_view tensor_name, Device* device, Tensor* cpu_tensor, StatusCallback done) override;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 5.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/quant_stats.pbtxt
# MLIR-NEXT: return %[[add]] : tensor<4x!quant.uniform<u8:f32, 0.0078431372549019607:128>> # MLIR-NEXT: } # CHECK-LABEL: { # CHECK-NEXT: version: 3, # CHECK-NEXT: operator_codes: [ {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 4K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/core/test_utils.cc
<< "Tensor creation failed for tensor of dtype: " << DataTypeString(dtype); CHECK_EQ(tensor->Type(), dtype); for (int i = 0; i < shape.size(); ++i) { CHECK_EQ(tensor->Dim(i), shape[i]); } FillNumericTensorBuffer(tensor->Type(), tensor->NumElements(), tensor->Data(), value); ImmediateTensorHandlePtr handle(ctx->CreateLocalHandle(tensor.get())); CHECK_NE(handle.get(), nullptr);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Sep 08 20:13:32 UTC 2023 - 5.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/tf2xla_rewriter.h
// Tensors: Vector of tensors that back the TensorValue inputs // Inputs: Vector of inputs that are backed by tensors. mlir::LogicalResult PrepareKernelInputs( const llvm::SmallDenseSet<int>& required_consts, std::vector<tensorflow::XlaExpression>& expressions, std::vector<tensorflow::Tensor>& tensors, std::vector<tensorflow::TensorValue>& inputs);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:16:07 UTC 2024 - 5K bytes - Viewed (0)