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Results 1 - 2 of 2 for 1x1024x8x16 (2.95 sec)
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tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td
// Move binary op batched RHS before reshape: // binary(reshape(lhs), rhs) => reshape(binary(lhs, flatten(rhs))) // Pattern targetted here is as follows- // [input, lhr, rhs] == [<1x1024x128>, <1x1024x8x16>, <1x1x8x16xf32>] // This is valid only when the- // 1.last dimension of lhs is equal to the number of elements in constant rhs. // 2.Reduded shape of rhs, here <8x16> is equal to last dimensions of lhs.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 66.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_weights.mlir
%7 = "tf.AddV2"(%2, %6) {device = ""} : (tensor<1x1024xbf16>, tensor<1x1024xbf16>) -> tensor<1x1024xbf16> %8 = "tf.Identity"(%4) {device = ""} : (tensor<i32>) -> tensor<i32> %9 = "tf.Identity"(%arg1) {device = ""} : (tensor<i32>) -> tensor<i32> func.return %8, %9, %1, %7, %arg4 : tensor<i32>, tensor<i32>, tensor<i32>, tensor<1x1024xbf16>, tensor<1024x1024xbf16> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 42K bytes - Viewed (0)