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Results 1 - 6 of 6 for 3x4xi8 (0.15 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir
%6 = "tf.Identity"(%5) {device = ""} : (tensor<2x3xi8>) -> tensor<2x3xi8> %7 = "tf.Cast"(%6) {Truncate = false, device = ""} : (tensor<2x3xi8>) -> tensor<2x3xi32> %8 = "tf.Sub"(%7, %cst_4) {device = ""} : (tensor<2x3xi32>, tensor<i32>) -> tensor<2x3xi32> %9 = "tf.Identity"(%cst_2) {device = ""} : (tensor<3x4xi8>) -> tensor<3x4xi8>
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/tensorflow/tests/lower_tf.mlir
func.return %0 : tensor<3x4xi1> } // CHECK-LABEL: @is_nan func.func @is_nan(%arg0: tensor<3x4xf32>) -> tensor<3x4xi1> { // CHECK: %[[RESULT:.*]] = "tf.NotEqual"(%arg0, %arg0) <{incompatible_shape_error = true}> : (tensor<3x4xf32>, tensor<3x4xf32>) -> tensor<3x4xi1> %0 = "tf.IsNan"(%arg0) : (tensor<3x4xf32>) -> tensor<3x4xi1> // CHECK: return %[[RESULT]] func.return %0 : tensor<3x4xi1> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 92K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions.mlir
// CHECK: %[[UNIFORM_QUANTIZE:.+]] = stablehlo.uniform_quantize %[[ARG_0]] : (tensor<3x4x2xf32>) -> tensor<3x4x2x!quant.uniform<i8:f32, {{.*}}>> // CHECK: %[[CALL:.+]] = call @quantized_gather_fn(%[[UNIFORM_QUANTIZE]], %[[CONST]]) {_quantization_method = "static_range_ptq { }"} : (tensor<3x4x2x!quant.uniform<i8:f32, {{.*}}>>, tensor<2x3x2xi32>) -> tensor<2x3x2x2x!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/tensorflow/tests/unroll-batch-matmul.mlir
} // ----- func.func @batchMatMulV3MatrixInt8(%arg0: tensor<4x5xi8>, %arg1: tensor<5x6xi8>) -> tensor<4x6xi32> { %0 = "tf.BatchMatMulV3"(%arg0, %arg1) : (tensor<4x5xi8>, tensor<5x6xi8>) -> tensor<4x6xi32> func.return %0 : tensor<4x6xi32> // CHECK-LABEL: batchMatMulV3MatrixInt8 // CHECK: %0 = "tf.BatchMatMulV3"(%arg0, %arg1) : (tensor<4x5xi8>, tensor<5x6xi8>) -> tensor<4x6xi32> // CHECK: return %0 : tensor<4x6xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 06 18:42:28 UTC 2023 - 63.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composit_functions_debugging.mlir
// TF-DAG: %[[cc_0:.*]] = "tf.ConcatV2"(%[[pc_1]], %[[pc_5]], %[[cst_0]]) : (tensor<2x2xi8>, tensor<2x2xi8>, tensor<i32>) -> tensor<2x4xi8> // TF-DAG: %[[pc_7:.*]] = "tf.PartitionedCall"(%[[cc_0]], %[[cst_6]], %[[cst_5]]) <{config = "", config_proto = "", executor_type = "", f = @dequantize_i8} // TF-DAG: return %[[pc_7]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 06 01:23:21 UTC 2023 - 80.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
func.func @DequantizeAndQuantize() -> tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>> { %cst = "tfl.pseudo_qconst"() {qtype = tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>>, value = dense<-1> : tensor<2x2xi8>} : () -> tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>> %0 = "tfl.dequantize"(%cst) : (tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>>) -> tensor<2x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0)