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Results 41 - 50 of 512 for quant (0.04 sec)
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tensorflow/compiler/mlir/lite/tests/optimize_op_order.mlir
func.func @dequantize_pushdown_gather_with_reduction(%arg0: tensor<2xi32>) -> tensor<2x2xf32> { %w = "tfl.pseudo_qconst"() {qtype = tensor<12x2x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>, value = dense<127> : tensor<12x2xi8>} : () -> tensor<12x2x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>> %dq_w = "tfl.dequantize"(%w) : (tensor<12x2x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>) -> tensor<12x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 01 02:06:15 UTC 2022 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize-variables.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_quantize_helper.h
// quantization type of other operands. inline quant::AccumulatorScaleFunc GetUniformQuantizedTypeForBiasWithScale( double scale) { return [=](const std::vector<quant::QuantParams>& quant_params, const int adjusted_quant_dim, const bool legacy_float_scale) -> quant::QuantParams { if (auto qtype = mlir::dyn_cast_or_null<UniformQuantizedType>( quant::GetUniformQuantizedTypeForBias(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 28K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tools/stablehlo_quant_opt.cc
mlir::registerTensorFlowPasses(); mlir::quant::stablehlo::registerPasses(); mlir::quant::stablehlo::registerBridgePasses(); mlir::stablehlo::registerPasses(); mlir::mhlo::registerAllMhloPasses(); // These passes are only used for testing purposes. mlir::quant::stablehlo::testing::registerTestPasses(); // Register StableHLO Quantizer pass pipelines. mlir::quant::stablehlo::RegisterPassPipelines();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 07:37:34 UTC 2024 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/quantization.mlir
%4 = "tfl.reshape"(%3, %cst) : (tensor<1x112x112x32x!quant.uniform<u8:f32, 0.023528476789885875>>, tensor<2xi32>) -> tensor<1x401408x!quant.uniform<u8:f32, 0.023528476789885875>> %5 = "tfl.softmax"(%4) {beta = 1.000000e+00 : f32} : (tensor<1x401408x!quant.uniform<u8:f32, 0.023528476789885875>>) -> tensor<1x401408x!quant.uniform<u8:f32, 3.906250e-03>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/target-annotation.mlir
%2 = "tfl.reshape"(%arg0, %0) : (tensor<4x384x32x!quant.uniform<i8:f32, 0.2:-3>>, tensor<4xi32>) -> tensor<1x4x384x32x!quant.uniform<i8:f32, 0.2:-3>> // CHECK-NOT: tac.device tac.inference_type %3 = "tfl.quantize"(%2) {qtype = tensor<1x4x384x32x!quant.uniform<i8:f32, 0.19:1>>} : (tensor<1x4x384x32x!quant.uniform<i8:f32, 0.2:-3>>) -> tensor<1x4x384x32x!quant.uniform<i8:f32, 0.19:1>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 19 19:32:06 UTC 2023 - 6.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize-numeric-verify.mlir
func.return %6 : tensor<1x112x112x32x!quant.uniform<u8:f32, 0.023528476789885875>> } // DEBUG-LABEL: QuantizeSplit func.func @QuantizeSplit(%arg: tensor<4x!quant.uniform<u8:f32, 1.0>>, %cst: tensor<i32>) -> (tensor<2x!quant.uniform<u8:f32, 1.0>>,tensor<2x!quant.uniform<u8:f32, 1.0>>) { %0 = "tfl.dequantize"(%arg) : (tensor<4x!quant.uniform<u8:f32, 1.0>>) -> tensor<4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 15.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
func.return %0...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants.mlir
%0 = "tfl.pseudo_qconst"() { qtype = tensor<3x3x!quant.uniform<i32:f32:0, {1.0, 0.5:1, 0.25:1}>>, value = dense<1> : tensor<3x3xi32>} : () -> tensor<3x3x!quant.uniform<i32:f32:0, {1.0, 0.5:1, 0.25:1}>> func.return %0 : tensor<3x3x!quant.uniform<i32:f32:0, {1.0, 0.5:1, 0.25:1}>> } func.func @qu8() -> tensor<3x!quant.uniform<u8<1:255>:f32, 1.0>> { // CHECK-LABEL: @qu8
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 12.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/bridge/convert_tf_quant_ops_to_mhlo.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 7.2K bytes - Viewed (0)