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tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
// CHECK: %[[QCONST_0:.+]] = "tfl.pseudo_qconst"() // CHECK: "tfl.batch_matmul"(%[[ARG]], %[[QCONST_0]]) <{adj_x = false, adj_y = false}> // ----- // Tests static range quantized dot_general with activation as RHS
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
QuantizableResult, PredOpTrait<"input and output must have same element type", TFL_TCresVTEtIsSameAsOp<0, 0>>]> { let summary = "Hardswish activation function."; let description = [{ Computes hard-swish activation function f(x) -> (x * relu6(x+3))/6 element-wise. }]; let arguments = (ins TFL_TensorOf<[F32, QUI8, QI8]>:$input);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0)