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tensorflow/compiler/mlir/lite/quantization/lite/quantize_model_test.cc
auto float_graph = readonly_model_->subgraphs()->Get(0); // The original model reshape->custom->custom->squeeze. ASSERT_THAT(*float_graph->operators(), SizeIs(4)); // The resulting model should be: // reshape->dequantize->custom->custom->quantize->squeeze. ASSERT_THAT(subgraph->operators, SizeIs(6)); const std::vector<BuiltinOperator> op_codes = {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 73.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
SmallVector<int64_t, 4> begin_indices(value_rank, 0); auto end_indices = llvm::to_vector<4>(value_type.getShape()); SmallVector<int64_t, 4> strides(value_rank, 1); // All HLO slice+squeeze results used to replace the original tf.Unpack op. SmallVector<Value, 4> results; results.reserve(op.getNumResults()); for (int i = 0, end = op.getNumResults(); i < end; ++i) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
RELEASE.md
* `parallel_for`: Add converters for `OneHot`, `LowerBound`, `UpperBound`. * `parallel_for`: add converter for `BroadcastTo`. * Add `pfor` converter for `Squeeze`. * Add `RaggedTensor.placeholder()`. * Add ragged tensor support to `tf.squeeze`. * Update RaggedTensors to support int32 row_splits. * Allow `LinearOperator.solve` to take a `LinearOperator`.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)