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Results 11 - 14 of 14 for Quantile (0.23 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.cc
return false; }); } // Return the half_range value that is used by DequantizeOp. half_range is used // to offset the quantized representation before it gets scaled. In the case // of negative quantize types, this offset is half the type's range. static DenseElementsAttr DequantizeHalfRange(OpBuilder *builder, Value input) { auto input_type = mlir::dyn_cast_or_null<ShapedType>(input.getType());
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/lite/experimental/tac/tests/raise-target-subgraphs.mlir
%4 = "tfl.add"(%2, %3) {tac.device = "GPU", tac.inference_type = "FLOAT", fused_activation_function = "NONE"} : (tensor<1x384x384xf32>, tensor<1x384x384xf32>) -> tensor<1x384x384xf32> %5 = "tfl.quantize"(%4) {qtype = tensor<1x384x1x!quant.uniform<i8:f32, 0.003:-128>>} : (tensor<1x384x384xf32>) -> tensor<1x384x384x!quant.uniform<i8:f32, 0.003:-128>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 74.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions.mlir
// RUN: stablehlo-quant-opt %s -split-input-file -verify-diagnostics \ // RUN: -stablehlo-quantize-composite-functions | FileCheck %s // RUN: stablehlo-quant-opt %s -split-input-file -verify-diagnostics \ // RUN: -stablehlo-quantize-composite-functions=enable-per-channel-quantized-weight=false | FileCheck --check-prefix=CHECK-PER-TENSOR %s // Tests that basic dot_general is properly quantized. module attributes {tf_saved_model.semantics} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 91.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_tf.cc
// before converting TF_Conv to TFL_Conv (void)applyPatternsAndFoldGreedily(func, std::move(patterns)); // Remove the wrapper of the tf.FakeQuant* ops and also insert the // tfl.quantize and tfl.dequantize to preserve the quantization parameters. // This is done after the first round of optimization to make sure all the // min/max operands of the tf.FakeQuant* are constants to be matched. The
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 21:49:50 UTC 2024 - 64.6K bytes - Viewed (0)