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tensorflow/c/eager/c_api.h
// some input tensors are not on that device. // LINT.IfChange // Note: Keep in sync with internal copy of enum in eager/context.h. typedef enum TFE_ContextDevicePlacementPolicy { // Running operations with input tensors on the wrong device will fail. TFE_DEVICE_PLACEMENT_EXPLICIT = 0, // Copy the tensor to the right device but log a warning. TFE_DEVICE_PLACEMENT_WARN = 1,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 27 21:07:00 UTC 2023 - 22.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/import_json.json
// CHECK: return %[[RES0]] : tensor<256x32x32x16xf32> { "version": 3, "operator_codes": [ { "builtin_code": "CONV_2D" } ], "subgraphs": [ { "tensors": [ { "shape": [ 256, 32,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/fake_quant.mlir
func.func @main(tensor<4xf32>) -> tensor<4xf32> { ^bb0(%arg0: tensor<4xf32>): // CHECK: { // CHECK-NEXT: version: 3, // CHECK-NEXT: operator_codes: [ { // CHECK-NEXT: deprecated_builtin_code: 80, // CHECK-NEXT: version: 1, // CHECK-NEXT: builtin_code: FAKE_QUANT // CHECK-NEXT: } ], // CHECK-NEXT: subgraphs: [ { // CHECK-NEXT: tensors: [ { // CHECK-NEXT: shape: [ 4 ],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 2.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/variant_type_on_op.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Aug 16 20:36:14 UTC 2022 - 1.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow_to_stablehlo/README.md
type `tensor<?x3x224x224xf32>`. ```bash tf-to-stablehlo-translate <saved-model-path> --input-arg-shapes=4,3,224,224 ``` * To convert [google-bert/bert-large-uncased](https://huggingface.co/google-bert/bert-large-uncased) to StableHLO with static input shapes `1x12`, `1x12`, and `1x12` for input arguments with types `tensor<?x?xi32>, tensor<?x?xi32>, tensor<?x?xi32>`. ```bash
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 22:58:42 UTC 2024 - 4.4K bytes - Viewed (0) -
tensorflow/cc/framework/gradient_checker.cc
std::vector<Tensor>* x_datas, std::vector<Tensor>* jacobian_ts) { size_t y_num = y_shapes.size(); size_t x_num = x_shapes.size(); // x_stride and y_stride are used to calculate the correct jacobian row and // column position for a pair of elements at positions r, c within the x and y // tensors respectively.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 05:57:22 UTC 2024 - 18.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/save_model.py
) -> _SignatureDefMap: """Validates if the tensor names in signatures are consistent with the graph. This function checks if the input and output tensor names in the signatures exist if the graph. The output tensor names might change during conversion, we try to fix that with `_restore_output_tensor_names`. Besides, if there are duplicated tensor names, they we will be prefixed with the signature name.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 12.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/transpose_conv_optional.mlir
%0 = "tfl.transpose_conv"(%arg0, %arg1, %arg2, %cst) {padding = "SAME", stride_h = 2 : i32, stride_w = 2 : i32, fused_activation_function = "NONE"} : (tensor<4xi32>, tensor<32x4x4x128xf32>, tensor<1x32x42x128xf32>, none) -> tensor<1x64x84x32xf32> func.return %0 : tensor<1x64x84x32xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 14 04:58:17 UTC 2022 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/representative_dataset_test.py
def _contains_tensor(sample: repr_dataset.RepresentativeSample) -> bool: """Determines whether `sample` contains any tf.Tensors. Args: sample: A `RepresentativeSample`. Returns: True iff `sample` contains at least tf.Tensors. """ return any(map(lambda value: isinstance(value, core.Tensor), sample.values())) class RepresentativeDatasetTest(test.TestCase): """Tests functions for representative datasets."""
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jan 04 07:35:19 UTC 2024 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_launch_util.h
class XlaComputationLaunchContext { public: // Create a new launch context. 'allocate_xla_tensors' is true if allocated // output tensors and variables are always XlaTensors. If false they are // assumed to be "normal" device pointers. // If 'use_multiple_streams' is true, tensors may be defined and used on // multiple streams and so se::Events must be defined and waited for. If
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 09:53:30 UTC 2024 - 11.8K bytes - Viewed (0)