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Results 1 - 6 of 6 for tf_saved_model (0.16 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir
} // ----- module attributes {tf_saved_model.semantics} { func.func @conv_with_filter_larger_than_1MB(%arg0: tensor<1x224x224x3xf32> {tf_saved_model.index_path = ["input"]}) -> (tensor<1x224x112x512xf32> {tf_saved_model.index_path = ["output"]}) attributes {tf.entry_function = {control_outputs = "", inputs = "serving_default_input:0", outputs = "PartitionedCall:0"}, tf_saved_model.exported_names = ["serving_default"]} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 81K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py
representative_datasets=[ qc.RepresentativeDatasetConfig( tf_record=qc.TfRecordFile(path=dataset_path) ) ] ), tf_saved_model=qc.TfSavedModelConfig(tags=[tag_constants.SERVING]), pipeline_config=qc.PipelineConfig( merge_fusion_with_dequantize=merge_fusion_with_dequantize ), )
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 51.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions.mlir
// RUN: -stablehlo-quantize-composite-functions=enable-per-channel-quantized-weight=false | FileCheck --check-prefix=CHECK-PER-TENSOR %s // Tests that basic dot_general is properly quantized. module attributes {tf_saved_model.semantics} { func.func private @quantize_dot_general_fn(%arg0: tensor<1x2xf32>) -> tensor<1x3xf32> attributes {tf._original_func_name = "main_0"} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 91.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composit_functions_debugging.mlir
} // TODO(b/308773062): Add whole_model unit-test // ----- module { func.func @matmul2_with_int_per_layer(%arg0: tensor<2x2xf32> {tf_saved_model.index_path = ["input_tensor"]}) -> tensor<2x2xf32> { %cst = "tf.Const"() {device = "", value = dense<[[-0.630731344, 0.54962182], [0.180364341, -0.764542698]]> : tensor<2x2xf32>} : () -> tensor<2x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 06 01:23:21 UTC 2023 - 80.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_import.cc
namespace errors = tensorflow::errors; namespace tfl = mlir::TFL; namespace { constexpr char kScatterRegionFuncName[] = "update_computation_func_name"; using ::mlir::tf_saved_model::kTfSavedModelExportedNamesAttr; using ::mlir::tf_saved_model::kTfSavedModelIndexPathAttr; using ::tflite::IsValidBufferOffset; // Create the MLIR NamedLoc location corresponding to a given tensor
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 66.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/g3doc/_includes/tf_passes.md
snippets of remaining TF code, and wish for those snippets to be self-contained. For example, this would transform "tf_saved_model.global_tensor"() { sym_name = "v" ... } func @f(%arg0 {tf_saved_model.bound_input = @v}) { %1 = "tf.ReadVariableOp"(%arg0) ... } to func @f(%arg0 {tf_saved_model.bound_input = @v}) { %0 = "tf.VarHandleOp"(sym_name = "v") %1 = "tf.ReadVariableOp"(%0) ... }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 02 02:26:39 UTC 2023 - 96.4K bytes - Viewed (0)