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Results 61 - 70 of 75 for conv2 (0.04 sec)
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tensorflow/compiler/mlir/lite/tests/debuginfo/v1_1.0_224_frozen.wrong_attr.stack.part.pbtxt.debug
key: "MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/FusedBatchNorm@" value { file_line_cols { file_index: 5 line: 362 } } } traces { key: "MobilenetV1/MobilenetV1/Conv2d_0/Conv2D@" value { file_line_cols { file_index: 2 line: 27 } file_line_cols { file_index: 3 line: 28 } file_line_cols { file_index: 4
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 11 15:36:55 UTC 2019 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/optimize.td
// Checks if the value has only one user. def HasOneUse : Constraint<CPred<"$0.hasOneUse()">>; // If we see a Conv2D op followed by Mul, then multiply the filter // with the value in Mul. def FuseMulAndConv2D : Pat<(TF_MulOp:$mul (TF_Conv2DOp:$conv $input, (Arith_ConstantOp:$filter F32ElementsAttr:$filter_value),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 22 07:31:23 UTC 2023 - 5.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/debuginfo/v1_1.0_224_frozen.wrong_attr.line.part.pbtxt.debug
key: "MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/FusedBatchNorm@" value { file_line_cols { file_index: 5 line: 362 } } } traces { key: "MobilenetV1/MobilenetV1/Conv2d_0/Conv2D@" value { file_line_cols { file_index: 2 line: 27 } } } traces { key: "input@" value { file_line_cols { file_index: 40 line: 690
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 11 15:36:55 UTC 2019 - 3.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_calibration_statistics_saver_with_skipping.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 6.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops_large_constants.mlir
%3 = "tf.Cast"(%2) {Truncate = false} : (tensor<960x960x3x512xi8>) -> tensor<960x960x3x512xi32> %4 = "tf.Sub"(%3, %arg5) : (tensor<960x960x3x512xi32>, tensor<512xi32>) -> tensor<960x960x3x512xi32> %5 = "tf.Conv2D"(%1, %4) {dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true} : (tensor<1x2240x2240x3xi32>, tensor<960x960x3x512xi32>) -> tensor<1x2240x1120x512xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 5.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/testing/test_lift_quantizable_spots_as_functions_with_quantization_specs.cc
// Configure `QuantizationSpecs` to apply `StaticRangePtq` to compute heavy // units. constexpr absl::string_view kSpecsStaticRangePtqToComputeHeavy = R"pb(specs [ { matcher { function_name { regex: "^.*(conv|dot|gather).*" } } method { static_range_ptq {} } }])pb"; class TestLiftQuantizableSpotsAsFunctionsWithQuantizationSpecsPass : public impl::
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 28 23:21:42 UTC 2024 - 5.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/ops/tf_op_quant_spec.cc
if (function_name.contains("with_bias")) { spec->biases_params[2] = {{0, 1}, quant::GetUniformQuantizedTypeForBias}; } } else if (function_name.contains("conv2d")) { spec->coeff_op_quant_dim[1] = 3; if (function_name.contains("with_bias")) { spec->biases_params[2] = {{0, 1}, quant::GetUniformQuantizedTypeForBias}; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/cc/config.cc
return spec; } QuantizationSpec GetDefaultWeightOnlyPtqSpec() { QuantizationSpec spec{}; spec.mutable_matcher()->mutable_function_name()->set_regex( "^.*(conv|dot_general).*"); WeightOnlyPtq& weight_only_ptq_spec = *spec.mutable_method()->mutable_weight_only_ptq(); if (auto [iter, inserted] = weight_only_ptq_spec.mutable_input_quantized_types()->try_emplace(1);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 8.3K bytes - Viewed (0) -
subprojects/core/src/test/groovy/org/gradle/api/internal/artifacts/dependencies/DefaultProjectDependencyTest.groovy
when: def base = new DefaultProjectDependency(project, "conf1", true, TestFiles.taskDependencyFactory()) def differentConf = new DefaultProjectDependency(project, "conf2", true, TestFiles.taskDependencyFactory()) def differentBuildDeps = new DefaultProjectDependency(project, "conf1", false, TestFiles.taskDependencyFactory())
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed Feb 28 13:08:22 UTC 2024 - 7.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/examples/mnist/ops_defs.py
derived_attrs=['T: {float, int8}'], outputs=['o: T']) def _composite_conv_add_relu(input_, filter_, bias, stride_w, stride_h, dilation_w, dilation_h, padding, act): res = tf.raw_ops.Conv2D( input=input_, filter=filter_, strides=[1, stride_w, stride_h, 1], dilations=[1, dilation_w, dilation_h, 1], padding=padding) res = tf.raw_ops.Add(x=res, y=bias) if act == 'RELU':
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Aug 31 20:23:51 UTC 2023 - 6.8K bytes - Viewed (0)