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Results 1 - 10 of 18 for 100x50xf32 (0.12 sec)

  1. tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_mark_initialized_variables.mlir

        %1 = "tf.ReadVariableOp"(%0) {device = ""} : (tensor<!tf_type.resource<tensor<100x50xf32>>>) -> tensor<100x50xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 2.1K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir

    // CHECK:           [[VAL_15:%.*]]:4 = "tf.SplitV"([[VAL_9]], [[VAL_13]], [[VAL_14]]) : (tensor<40x10xf32>, tensor<4xi32>, tensor<i32>) -> (tensor<10x10xf32>, tensor<10x10xf32>, tensor<10x10xf32>, tensor<10x10xf32>)
    // CHECK-DAG:       [[VAL_16:%.*]] = "tf.Const"() <{value = dense<10> : tensor<4xi32>}> : () -> tensor<4xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 122.1K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir

      %r6 = "tf.Reshape"(%arg2, %arg3) : (tensor<10000xf32>, tensor<*xi32>) -> tensor<*xf32>
      func.return %r1, %r2, %r3, %r4, %r5, %r6: tensor<100x100xf32>, tensor<*xf32>, tensor<100x100xf32>, tensor<100x100xf32>, tensor<*xf32>, tensor<*xf32>
    }
    
    // -----
    // tf.Reshape with incorrect type.
    func.func @testReshape(tensor<*xf32>, tensor<*xf32>) -> (tensor<100x100xf32>) {
    ^bb0(%arg0: tensor<*xf32>, %arg1: tensor<*xf32>):
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 23 14:40:35 UTC 2023
    - 236.4K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/mlir_passthrough_op.pbtxt

    # CHECK:"tf.MlirPassthroughOp"
    # CHECK: mlir_module = "\0Afunc @main(%arg0 : tensor<10xf32>, %arg1 : tensor<10xf32>) -> tensor<10x10xf32> {\0A %add = \22tf.Add\22(%arg0, %arg1) : (tensor<10xf32>, tensor<10xf32>) -> tensor<10xf32>\0A %ret = \22magic.op\22(%add, %add) : (tensor<10xf32>, tensor<10xf32>) -> tensor<10x10xf32>\0A return %ret : tensor<10x10xf32>\0A}\0A"}> {device = ""} : (tensor<10xf32>, tensor<10xf32>) -> tensor<*xf32>
    
    node {
      name: "x"
      op: "Placeholder"
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 1.9K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/tests/shape-inference.mlir

      %0 = "tfl.unidirectional_sequence_lstm"(%arg0, %arg1, %arg2, %arg3, %arg4, %arg5, %arg6, %arg7, %arg8, %arg9, %arg10, %arg11, %arg12, %arg13, %arg14,...
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 11.5K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/tensorflow/tests/localize_var_handles.mlir

      // CHECK-LABEL: @get_next
      func.func private @get_next(%arg0: tensor<!tf_type.resource>) -> tensor<200x10xf32> {
        // CHECK: %0 = "tf.Iterator"
        // CHECK-SAME: shared_name = "foo_iterator"
        // CHECK: "tf.IteratorGetNext"(%0)
        %0 = "tf.IteratorGetNext"(%arg0) : (tensor<!tf_type.resource>) -> tensor<200x10xf32>
        return %0 : tensor<200x10xf32>
      }
    
      // CHECK-LABEL: @main
      func.func @main()
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Aug 23 21:12:02 UTC 2023
    - 10.3K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions.mlir

    func.func @float_matmul(
      %arg0: tensor<1x10xf32>, %arg1: tensor<10x10xf32>) -> (tensor<*xf32>, tensor<*xf32>, tensor<*xf32>) {
      %cst = "tf.Const"() {value = dense<0.000000e+00> : tensor<10xf32>} : () -> tensor<10xf32>
      %0 = "tf.MatMul"(%arg0, %arg1) {
        transpose_a = false, transpose_b = false
      } : (tensor<1x10xf32>, tensor<10x10xf32>) -> tensor<*xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 26.5K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_xla_selective_quantization.mlir

        %cst = "tf.Const"() {value = dense<0.000000e+00> : tensor<10xf32>} : () -> tensor<10xf32>
        %cst_0 = "tf.Const"() {value = dense<[-1, 10]> : tensor<2xi32>} : () -> tensor<2xi32>
        %1 = "tf.MatMul"(%arg0, %arg1) {
          transpose_a = false, transpose_b = false
        } : (tensor<1x10xf32>, tensor<10x10xf32>) -> tensor<1x10xf32>  loc(fused["MatMul:", "test_opt_out"])
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 6.8K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/control_flow.mlir

      %cst = "tf.Const"() {value = dense<1.1> : tensor<100x512xf32>} : () -> tensor<100x512xf32>
      %one = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 00:40:32 UTC 2024
    - 17.5K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/convert_tf_quant_to_mhlo_int_test.cc

      constexpr absl::string_view kProgram = R"mlir(
    func.func @main(
        %arg0: tensor<10x10xf32>, %scale: tensor<10xf32>, %zp: tensor<10xi32>
      ) -> tensor<10x10xi8> {
      %0 = "tf.UniformQuantize"(%arg0, %scale, %zp) {
        quantization_axis = 1 : i64,
        quantization_min_val = -128 : i64,
        quantization_max_val = 127 : i64
      } : (tensor<10x10xf32>, tensor<10xf32>, tensor<10xi32>) -> tensor<10x10x!tf_type.qint8>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Apr 03 01:03:21 UTC 2024
    - 35.8K bytes
    - Viewed (0)
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