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Results 1 - 10 of 12 for 2x3x4x5xi8 (0.17 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir
%12 = "tf.Identity"(%11) {device = ""} : (tensor<2x3x4x5xi8>) -> tensor<2x3x4x5xi8> %13 = "tf.Cast"(%12) {Truncate = false, device = ""} : (tensor<2x3x4x5xi8>) -> tensor<2x3x4x5xi32> %14 = "tf.Sub"(%13, %cst_5) {device = ""} : (tensor<2x3x4x5xi32>, tensor<i32>) -> tensor<2x3x4x5xi32> %15 = "tf.Identity"(%5) {device = ""} : (tensor<2x6x4x5xi8>) -> tensor<2x6x4x5xi8>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 81K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_weight_only.mlir
// PerChannel-DAG: %[[q_w1:.*]] = "tf.Const"() <{value = dense<{{[0-9]+}}> : tensor<2x3x3x1xi8>}> : () -> tensor<2x3x3x1xi8> // PerChannel-DAG: %[[q_w2:.*]] = "tf.Const"() <{value = dense<{{[0-9]+}}> : tensor<2x3x3x2xi8>}> : () -> tensor<2x3x3x2xi8> // PerChannel-DAG: %[[scale1:.*]] = "tf.Const"() <{value = dense<{{[0-9\.Ee\+\-]+}}> : tensor<3xf32>}> : () -> tensor<3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 11.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/fake_quant_e2e_flow.mlir
// CHECK-NEXT: %[[V1:.*]] = "tf.PartitionedCall"(%[[ARG0]], %[[CST]], %[[CST_0]]) <{config = "", config_proto = "", executor_type = "", f = @quantize_i8}> : (tensor<1x3x4x3xf32>, tensor<f32>, tensor<i32>) -> tensor<1x3x4x3xi8>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 3.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
%0 = stablehlo.constant() {value = dense<1> : tensor<1x2x4x5xi8>} : () -> tensor<1x2x4x5x!quant.uniform<i8:f32, 1.000000e+0>> return %0 : tensor<1x2x4x5x!quant.uniform<i8:f32, 1.000000e+0>> } // CHECK: %[[QCONST:.+]] = "tfl.pseudo_qconst"() <{qtype = tensor<1x2x4x5x!quant.uniform<i8:f32, 1.000000e+00>>, value = dense<1> : tensor<1x2x4x5xi8>}> // CHECK-SAME: () -> tensor<1x2x4x5x!quant.uniform<i8:f32, 1.000000e+00>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions_weight_only.mlir
return %0 : tensor<1x3x4x2xf32> } } // CHECK-LABEL: quantize_conv_per_tensor // CHECK-SAME: %[[ARG0:.+]]: tensor<1x3x4x3xf32> // CHECK: %[[CST:.+]] = stablehlo.constant() <{value = dense<127> : tensor<2x3x3x2xi8>}> : () -> tensor<2x3x3x2x!quant.uniform<i8<-127:127>:f32, 0.0023622048182750312>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 9.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/bridge/optimize.mlir
return %2 : tensor<?x2x2x1xi32> } // ----- // CHECK-LABEL: func @convolution_add_add_static func.func @convolution_add_add_static( %lhs: tensor<2x3x2x1xi8>, %rhs: tensor<2x1x1x1xi8>, %zp_offset: tensor<2x2x2x1xi32>, %bias: tensor<1xi32> ) -> tensor<2x2x2x1xi32> { // CHECK-DAG: %[[conv:.*]] = mhlo.convolution
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Feb 24 02:26:47 UTC 2024 - 10.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions.mlir
// CHECK: func.func private @quantize_conv_fn(%[[ARG_0:.+]]: tensor<1x3x4x3xf32>) -> tensor<1x3x4x2xf32> attributes {tf._original_func_name = "main_0"} // CHECK: %[[CONST_0:.+]] = stablehlo.constant() <{value = dense<{{.*}}> : tensor<2x3x3x2xi8>}> : () -> tensor<2x3x3x2x!quant.uniform<i8<-127:127>:f32:3, {{.*}}> // CHECK: %[[UNIFORM_QUANTIZE_0:.+]] = stablehlo.uniform_quantize %[[ARG_0]] : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3x!quant.uniform<i8:f32, {{.*}}>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 91.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir
%1 = stablehlo.constant dense<1.000000e+03> : tensor<1x1x1x1xf32> // Input inverse scale. %2 = stablehlo.constant dense<-128> : tensor<1x1x1x1xi8> // Input zero point. %3 = stablehlo.constant dense<1> : tensor<3x3x4x4xi8> // Quantized filter tensor. %4 = stablehlo.constant dense<3.000000e+03> : tensor<1x1x1x4xf32> %5 = stablehlo.constant dense<4.000000e+03> : tensor<1x1x1x1xf32> // Output inverse scale.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 37K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/fake_quant_e2e_xla.mlir
// CHECK: %[[minimum:.*]] = "tf.Minimum"(%[[maximum]] // CHECK: %[[round:.*]] = "tf.Round"(%[[minimum]] // CHECK: %[[quant:.*]] = "tf.Cast"(%[[round]]) : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3xi8> // CHECK: %[[pad:.*]] = "tf.PadV2"(%[[quant]] // CHECK: %[[xlaconv:.*]] = "tf.XlaConvV2"(%[[pad]] // CHECK: %[[sub:.*]] = "tf.Sub"(%[[xlaconv]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 7.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-quant.mlir
%weight_zps = "tf.Const"() { value = dense<3> : tensor<i32> } : () -> tensor<i32> // CHECK: %[[CONST:.*]] = mhlo.constant() // CHECK-SAME{LITERAL} value = dense<127> : tensor<2x3x3x2xi8> // CHECK-SAME: tensor<2x3x3x2x!quant.uniform<i8:f32, 1.000000e+00:3>> // CHECK: mhlo.convolution(%arg0, %[[CONST]]) // CHECK-SAME{LITERAL}: dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 01:25:29 UTC 2024 - 37.3K bytes - Viewed (0)