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Results 1 - 2 of 2 for 36x36xi8 (0.54 sec)

  2. github.com/tensorflow/tensorflow

    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
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  3. github.com/tensorflow/tensorflow

    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
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