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tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops_large_constants.mlir
%cst_0 = "tf.Const"() {value = dense<0.00117647066> : tensor<f32>} : () -> tensor<f32> %cst_1 = "tf.Const"() {value = dense<-43> : tensor<i32>} : () -> tensor<i32> %cst_2 = "tf.Const"() {value = dense<0.0027450982> : tensor<f32>} : () -> tensor<f32> %cst_3 = "tf.Const"() {value = dense<-19> : tensor<i32>} : () -> tensor<i32>
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/tensorflow_to_stablehlo/tests/test_tf_to_stablehlo.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 22:58:42 UTC 2024 - 1.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/launch_to_device_attribute.mlir
%launch:2 = "tf_device.launch"() ({ %b:2 = "tf.opB"(%a) : (tensor<i1>) -> (tensor<i32>, tensor<f32>) tf_device.return %b#1, %b#0 : tensor<f32>, tensor<i32> }) {device = "CPU:0"} : () -> (tensor<f32>, tensor<i32>) %c = "tf.opC"() : () -> tensor<i1> tf_executor.yield %a, %launch#0, %launch#1, %c : tensor<i1>, tensor<f32>, tensor<i32>, tensor<i1> } tf_executor.fetch } func.return }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jan 19 17:10:32 UTC 2023 - 5.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize-skip-quantization-ops.mlir
func.func @fake_quant_with_min_max_vars(%arg0: tensor<1x1x28x48xf32>, %arg1: tensor<f32>, %arg2: tensor<f32>) -> tensor<1x1x28x48xf32> { %0 = "tf.FakeQuantWithMinMaxVars"(%arg0, %arg1, %arg2) {device = "", narrow_range = true, num_bits = 8 : i64} : (tensor<1x1x28x48xf32>, tensor<f32>, tensor<f32>) -> tensor<1x1x28x48xf32> func.return %0 : tensor<1x1x28x48xf32> // CHECK-SKIP: tf.FakeQuantWithMinMaxVars
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 14 07:38:29 UTC 2022 - 676 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/bucketize.mlir
func.func @main(%arg0: tensor<3x2xf32>) -> tensor<3x2xi32> { // CHECK-LABEL: @main // CHECK: "tfl.bucketize"(%arg0) <{boundaries = [0.000000e+00 : f32, 1.000000e+01 : f32, 1.000000e+02 : f32]}> : (tensor<3x2xf32>) -> tensor<3x2xi32> %0 = "tfl.bucketize"(%arg0) {boundaries = [0.0 : f32, 10.0 : f32, 100.0 : f32]} : (tensor<3x2xf32>) -> tensor<3x2xi32> func.return %0 : tensor<3x2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 571 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>> // CHECK: tac.device = "CPU", tac.inference_type = "QUANTIZED_INT8"
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/quantization/stablehlo/tests/bridge/verify-quant-legalization.mlir
func.func @illegal_mhlo_uniform_quantize(%arg0: tensor<?x?xf32>) -> tensor<?x?x!quant.uniform<i8:f32, 1.000000e+00:3>> { // expected-error@+1 {{'mhlo.uniform_quantize' op is illegal as it is a UQ op or contains uq/qint types}} %0 = mhlo.uniform_quantize %arg0 : (tensor<?x?xf32>) -> tensor<?x?x!quant.uniform<i8:f32, 1.000000e+00:3>> return %0 : tensor<?x?x!quant.uniform<i8:f32, 1.000000e+00:3>> } // -----
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/tensorflow/tests/tf_device_index_selector.mlir
%4 = "tf.Case"(%1, %arg0, %arg1) {branches = [@sub, @add], output_shapes = [#tf_type.shape<>], is_stateless = false} : (tensor<i32>, tensor<f32>, tensor<f32>) -> tensor<f32> func.return %0, %4 : tensor<i32>, tensor<f32> } func.func @add(%arg0: tensor<*xf32>, %arg1: tensor<*xf32>) -> tensor<*xf32> { %0 = "tf.Add"(%arg0, %arg1): (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32> func.return %0 : tensor<*xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:47:26 UTC 2022 - 1.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/launch_to_device_attribute_legacy.mlir
%launch:2 = "tf_device.launch"() ({ %b:2 = "tf.opB"(%a) : (tensor<i1>) -> (tensor<i32>, tensor<f32>) tf_device.return %b#1, %b#0 : tensor<f32>, tensor<i32> }) {device = "CPU:0"} : () -> (tensor<f32>, tensor<i32>) %c = "tf.opC"() : () -> tensor<i1> tf_executor.yield %a, %launch#0, %launch#1, %c : tensor<i1>, tensor<f32>, tensor<i32>, tensor<i1> } tf_executor.fetch } func.return }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 21 20:14:51 UTC 2022 - 3.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-signed.mlir
%1 = "tfl.quantize"(%arg0) {qtype = tensor<2x2x!quant.uniform<u8:f32, 1.0:128>>} : (tensor<2x2xf32>) -> tensor<2x2x!quant.uniform<u8:f32, 1.0:128>> %2 = "tfl.dequantize"(%1) : (tensor<2x2x!quant.uniform<u8:f32, 1.0:128>>) -> tensor<2x2xf32> func.return %2 : tensor<2x2xf32> // CHECK-NEXT: %[[q:.*]] = "tfl.quantize"(%arg0) <{qtype = tensor<2x2x!quant.uniform<i8:f32, 1.000000e+00>>}> : (tensor<2x2xf32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.4K bytes - Viewed (0)