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tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.cc
auto permuted = rewriter.create<TransposeOp>(loc, reshaped, permutation); auto output_batch = padded_shape_splits[0]; for (int64_t i = 0; i < block_rank; ++i) { output_batch = rewriter.create<MulOp>(loc, output_batch, block_shape_splits[i]); } SmallVector<Value, 4> output_shape_vals{output_batch}; for (int64_t i = 0; i < block_rank; ++i) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 74.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/lower_tf.mlir
// CHECK-DAG: [[OUTPUT_BATCH_PART:%.+]] = "tf.Mul"([[PADDED_SHAPE_SPLITS]]#0, [[BLOCK_SHAPE_SPLITS]]#0) // CHECK-DAG: [[OUTPUT_BATCH:%.+]] = "tf.Mul"([[OUTPUT_BATCH_PART]], [[BLOCK_SHAPE_SPLITS]]#1) // CHECK-DAG: [[OUTPUT_SHAPE:%.+]] = "tf.ConcatV2"([[OUTPUT_BATCH]], [[OUTER_SHAPE_0]], [[OUTER_SHAPE_1]], [[PADDED_SHAPE_SPLITS]]#3, [[ZERO_I64]]) // CHECK-DAG: [[RESHAPED:%.+]] = "tf.Reshape"([[PADDED]], [[RESHAPED_SHAPE]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 92K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test_base.py
def _create_and_save_vocab_table_lookup_model_tf1( self, output_path: str, tags: Collection[str], signature_def_key: str, ) -> Tuple[Mapping[str, core.Tensor], Mapping[str, core.Tensor]]: """Creates and saves a simple model that uses a vocab table. Args: output_path: Path to the directory to save the created model.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 21 08:51:46 UTC 2024 - 51.2K bytes - Viewed (0)