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tensorflow/compiler/mlir/lite/tests/optimize-after-quantization.mlir
%dq = "tfl.dequantize"(%q) : (tensor<3x3x3x3x!quant.uniform<i8:f32, 0.1:1>>) -> tensor<3x3x3x3xf32> %0 = "tfl.conv_2d"(%arg0, %dq, %cst_0) {dilation_h_factor = 2 : i32, dilation_w_factor = 3 : i32, fused_activation_function = "NONE", padding = "SAME", stride_h = 4 : i32, stride_w = 5 : i32} : (tensor<256x32x32x3xf32>, tensor<3x3x3x3xf32>, tensor<3xf32>) -> tensor<256x8x7x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 1.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/verify_no_outside_compilation_markers_pass_test.cc
}; TEST_F(VerifyNoOutsideCompilationMarkersPassTest, PassesValidOps) { static constexpr char kMlirModuleStr[] = R"( module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 268 : i32}} { func.func @main() -> tensor<1xi32> { %0 = "tf.Const"() {value = dense<1000> : tensor<1xi32>} : () -> tensor<1xi32> func.return %0 : tensor<1xi32> } })";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 4.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/import_json.json
// CHECK: %[[CST:.*]] = "tfl.no_value"() <{value}> : () -> none // CHECK: %[[RES0:.*]] = "tfl.conv_2d"(%arg0, %arg1, %[[CST]]) <{dilation_h_factor = 1 : i32, dilation_w_factor = 1 : i32, fused_activation_function = "NONE", padding = "SAME", stride_h = 1 : i32, stride_w = 1 : i32}> : (tensor<256x32x32x3xf32>, tensor<16x3x3x3xf32>, none) -> tensor<256x32x32x16xf32> // CHECK: return %[[RES0]] : tensor<256x32x32x16xf32> { "version": 3,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v1/testdata/multiple_submodules.mlir
func.func @main() -> () { func.return } module @submodule attributes {tf.devices = {"/job:localhost/replica:0/task:0/device:CPU:0", "/job:localhost/replica:0/task:0/device:TPU:0", "/job:localhost/replica:0/task:0/device:TPU:1", "/job:localhost/replica:0/task:0/device:TPU_SYSTEM:0"}, tf.versions = {bad_consumers = [], min_consumer = 12 : i32, producer = 1647 : i32}} { }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Oct 19 13:17:22 UTC 2023 - 490 bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/verify_tfxla_legalization_test.cc
// Using a string constant here instead of testdata to make this compatible // with open source. static constexpr char kMlirModuleStr[] = R"( module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 268 : i32}} { func.func @main() -> tensor<1xi32> { %0 = "tf.BadValue"() {value = dense<1000> : tensor<1xi32>} : () -> tensor<1xi32> func.return %0 : tensor<1xi32> } })";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 7.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/order_by_dialect.mlir
// CHECK-NEXT: mhlo.constant %0 = mhlo.constant dense<-1> : tensor<i32> %1 = mhlo.constant dense<0> : tensor<i32> %2 = mhlo.constant dense<20> : tensor<i32> // CHECK-NEXT: mhlo.while %3, %4, %5 = mhlo.while(%iterArg = %1, %iterArg_0 = %0, %iterArg_1 = %1) : tensor<i32>, tensor<i32>, tensor<i32> cond { %17 = mhlo.compare LT, %iterArg_1, %2 : (tensor<i32>, tensor<i32>) -> tensor<i1> mhlo.return %17 : tensor<i1> } do {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 7.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/bridge/verify-quant-legalization.mlir
%zps = "tf.Const"() { value = dense<3> : tensor<i32> } : () -> tensor<i32> // expected-error@+1 {{'tf.UniformQuantize' op is illegal as it is a UQ op or contains uq/qint types}} %0 = "tf.UniformQuantize"(%arg0, %scales, %zps) { quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64 } : (tensor<1xf32>, tensor<f32>, tensor<i32>) -> tensor<1x!tf_type.qint8>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Aug 18 18:54:14 UTC 2023 - 3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/components/pre_calibration_component.mlir
// CHECK: %[[CUSTOM_AGGREGATOR_0:.+]], {{.*}}, {{.*}}, {{.*}} = "tf.CustomAggregator"(%[[ARG_0]]) <{calibration_method = 1 : i32, id = "composite_dot_general_fn_1_arg_0_calibration_method_1", max_percentile = 0.000000e+00 : f32, min_percentile = 0.000000e+00 : f32, num_bins = 0 : i32}> : (tensor<1x4xf32>) -> (tensor<1x4xf32>, tensor<f32>, tensor<f32>, tensor<0xi64>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 5.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/xla_rewrite_util_test.cc
func.func @convert_cluster_func(%arg0: tensor<i32>) -> () { %2 = "tf_device.parallel_execute"() ({ %3 = "tf_device.cluster_func"(%arg0) {device = "/job:localhost/replica:0/task:0/device:GPU:0", func = @func} : (tensor<i32>) -> tensor<i32> tf_device.return %3 : tensor<i32> }) : () -> tensor<i32> return } func.func @func(%arg0: tensor<i32>) -> tensor<i32> { return %arg0 : tensor<i32> } } )";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 26 09:37:10 UTC 2024 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_xla_selective_quantization.mlir
// This file test the selective quantiation feature in TF Quantizer. In the test // config, the op named "test_opt_out" will not be quantized. module attributes {tf.versions = {bad_consumers = [], min_consumer = 12 : i32, producer = 1269 : i32}} { func.func @conv2d_unmatching_unit(%arg0: tensor<1x3x4x3xf32>) -> (tensor<1x3x2x2xf32>) { %cst = "tf.Const"() {device = "", value = dense<1.0> : tensor<2x3x3x2xf32>} : () -> tensor<2x3x3x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.8K bytes - Viewed (0)