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tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
%arg5 : tensor<!tf_type.resource<tensor<256x640xf32>>>, %arg6 : tensor<!tf_type.resource<tensor<640xf32>>>, %arg7 : tensor<!tf_type.resource<tensor<512x640xf32>>>, %arg8 : tensor<!tf_type.resource<tensor<640x640xf32>>>, %arg9 : tensor<!tf_type.resource<tensor<4096xf32>>>, %arg10 : tensor<!tf_type.resource<tensor<640x4096xf32>>>,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize.cc
// dimensions into a single dimension. For example, // // %shape = arith.constant dense<[1, 128, 64]> : tensor<3xi32> // %reshape = tfl.reshape(%input, %shape) // %input: tensor<128x64xf32> // %fc = tfl.fully_connected(%reshape, %filter, %bias) // {keep_num_dims = false, weights_format = "DEFAULT"} // // can be canonicalized to //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 102.3K bytes - Viewed (0)