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Results 1 - 3 of 3 for 36x36xi8 (0.4 sec)
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tensorflow/compiler/mlir/lite/tests/decompose-hybrid-quantization.mlir
// CHECK-DAG: %[[VAL0:.+]] = "tfl.pseudo_qconst"() <{qtype = tensor<36x36x!quant.uniform<{{.+}}>>, value = dense<42> : tensor<36x36xi8>}> // CHECK-DAG: %[[VAL1:.+]] = "tfl.pseudo_qconst"() <{qtype = tensor<36x!quant.uniform<{{.+}}>>, value = dense<0> : tensor<36xi32>}> // CHECK-DAG: %[[VAL2:.+]] = "tfl.dequantize"(%[[VAL0]]) : (tensor<36x36x!quant.uniform<i8:f32, 1.000000e+00>>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/bridge/convert-tf-quant-types.mlir
%zps = "tf.Const"() { value = dense<3> : tensor<i32> } : () -> tensor<i32> // CHECK: %[[input:.*]] = "tf.ConcatV2"(%arg0, %arg1, %[[VAL:.*]]) : (tensor<3x3xi8>, tensor<3x3xi8>, tensor<i64>) -> tensor<6x3xi8> // CHECK: %[[input_qint:.*]] = "tf.Cast"(%[[input]]) <{Truncate = false}> : (tensor<6x3xi8>) -> tensor<6x3x!tf_type.qint8> // CHECK: %[[output:.*]] = "tf.UniformDequantize"(%[[input_qint]] // CHECK: return %[[output]] : tensor<6x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 25.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// ----- // CHECK-LABEL: @xladot_matmul( // CHECK-SAME: %[[LHS:.*]]: tensor<64x32xi8>, %[[RHS:.*]]: tensor<32x16xi8>) -> tensor<64x16xi32> func.func @xladot_matmul(%lhs : tensor<64x32xi8>, %rhs : tensor<32x16xi8>) -> tensor<64x16xi32> { // CHECK: "mhlo.dot_general"(%[[LHS]], %[[RHS]]) <{ // CHECK-SAME: dot_dimension_numbers = #mhlo.dot<
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0)