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Results 21 - 30 of 54 for uniform_quantize (0.32 sec)
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tensorflow/compiler/mlir/tensorflow/tests/shape_inference_with_shape_specialization.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 12:49:45 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/convert_tf_quant_to_mhlo_int_test.cc
%zp = "tf.Const"() { value = dense<3> : tensor<i32> } : () -> tensor<i32> %0 = "tf.UniformQuantize"(%arg0, %scale, %zp) { quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64 } : (tensor<10xf32>, tensor<f32>, tensor<i32>) -> tensor<10x!tf_type.qint8> %1 = "tf.UniformDequantize"(%0, %scale, %zp) { quantization_axis = -1 : i64, quantization_min_val = -128 : i64,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 03 01:03:21 UTC 2024 - 35.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/legalize_tf_quant_test.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 29 18:43:55 UTC 2024 - 7.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/uniform_quantized_stablehlo_to_tfl_pass.cc
} // Returns kernel input feature dimension of TFLite convolutions. int64_t GetConvolutionKernelInputFeatureDimension(bool is_depthwise) { return is_depthwise ? 0 : 3; } // stablehlo.uniform_quantize -> tfl.quantize // TODO: b/322428814 - Add StableHLO quantizer integration tests for ODML. class RewriteUniformQuantizeOp : public OpRewritePattern<stablehlo::UniformQuantizeOp> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 09:00:19 UTC 2024 - 99.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_uniform_quantized.mlir
// Quantize initial input at the start of the graph. Output is qint8. func.func @quantize_i8(%input : tensor<*xf32>, %input_scale : tensor<*xf32>, %input_zp : tensor<*xi32>) -> tensor<*x!tf_type.qint8> { %quantize = "tf.UniformQuantize"(%input, %input_scale, %input_zp) { Tin = "tfdtype$DT_FLOAT", Tout = "tfdtype$DT_QINT8", quantization_axis = -1, quantization_min_val = -128, quantization_max_val = 127,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Aug 29 01:13:58 UTC 2023 - 19.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/insert_quantized_functions.cc
clEnumValN(OpSet::TF, "TF", "Uses TF ops that mimic quantization behavior"), clEnumValN(OpSet::XLA, "XLA", "Uses TF XLA ops"), clEnumValN(OpSet::UNIFORM_QUANTIZED, "UNIFORM_QUANTIZED", "Uses TF Uniform Quantized ops"))}; }; llvm::StringRef InsertQuantizedFunctionsPass::GetFunctionLibrary( QuantMethod quantization_method, OpSet op_set) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 05:52:39 UTC 2024 - 8.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
'target_opset': quant_opts_pb2.UNIFORM_QUANTIZED, 'input_shape_dynamic': False, 'enable_per_channel_quantization': False, }, { 'testcase_name': 'dilation_with_bias_and_bn_and_relu6_to_uq', 'activation_fn': nn_ops.relu6, 'has_bias': True, 'has_batch_norm': True, 'target_opset': quant_opts_pb2.UNIFORM_QUANTIZED,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/preprocess_op.cc
*this, "target-opset", llvm::cl::init(OpSet::UNIFORM_QUANTIZED), llvm::cl::desc("Choose target opset."), llvm::cl::values( clEnumValN(OpSet::TF, "TF", "Uses TF ops that mimic quantization behavior"), clEnumValN(OpSet::XLA, "XLA", "Uses TF XLA ops"), clEnumValN(OpSet::UNIFORM_QUANTIZED, "UNIFORM_QUANTIZED", "Uses TF Uniform Quantized ops"))};
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/lift_quantizable_spots_as_functions_drq.cc
clEnumValN(OpSet::TF, "TF", "Uses TF ops that mimic quantization behavior"), clEnumValN(OpSet::XLA, "XLA", "Uses TF XLA ops"), clEnumValN(OpSet::UNIFORM_QUANTIZED, "UNIFORM_QUANTIZED", "Uses TF Uniform Quantized ops"))}; Option<int64_t> min_num_elements_for_weights_{ *this, "min-num-elements-for-weights", llvm::cl::init(0),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/ir/QuantizeUtils.cc
Attribute realValue, quant::QuantizedType quantizedElementType, Type &outConvertedType) { if (auto uniformQuantized = mlir::dyn_cast<quant::UniformQuantizedType>(quantizedElementType)) { UniformQuantizedValueConverter converter(uniformQuantized); return quantizeAttrUniform(realValue, uniformQuantized, converter, outConvertedType); } if (auto uniformQuantizedPerAxis =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.1K bytes - Viewed (0)