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Results 1 - 10 of 30 for 1x1x384xf32 (0.17 sec)

  1. tensorflow/compiler/mlir/lite/experimental/tac/tests/raise-target-subgraphs.mlir

      %2 = "tfl.dequantize"(%1) : (tensor<1x384x384x!quant.uniform<i8:f32, 0.003:-128>>) -> tensor<1x384x384xf32>
      %3 = "tfl.pseudo_const"() {value = dense<1.000000e+00> : tensor<1x1x384xf32>} : () -> tensor<1x384x384xf32>
      %4 = "tfl.add"(%2, %3) {tac.device = "GPU", tac.inference_type = "FLOAT", fused_activation_function = "NONE"} : (tensor<1x384x384xf32>, tensor<1x384x384xf32>) -> tensor<1x384x384xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 74.9K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/quantization/common/lift_as_function_call_test.cc

            func.return %2: tensor<1x3x3x4xf32>
          }
    
          func.func @conv_1_fn(%arg0: tensor<1x3x3x4xf32>) -> tensor<1x3x3x4xf32> {
            %0 = stablehlo.constant dense<2.000000e+00> : tensor<3x3x4x4xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 26.2K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir

        %16 = stablehlo.subtract %10, %15 : tensor<1x3x3x4xf32>
        %17 = stablehlo.broadcast_in_dim %4, dims = [0, 1, 2, 3] : (tensor<1x1x1x4xf32>) -> tensor<1x3x3x4xf32>
        %18 = stablehlo.multiply %16, %17 : tensor<1x3x3x4xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 37K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/lift_quantizable_spots_as_functions.mlir

      %3 = stablehlo.broadcast_in_dim %1, dims = [3] : (tensor<4xf32>) -> tensor<1x3x3x4xf32>
      %4 = stablehlo.add %2, %3 : tensor<1x3x3x4xf32>
      func.return %4: tensor<1x3x3x4xf32>
    }
    // CHECK: %[[CONST_0:.*]] = stablehlo.constant dense<2.000000e+00>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 49.8K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/quantization/stablehlo/ops/stablehlo_op_quant_spec_test.cc

          return %0 : tensor<1x1x4xf32>
        }
      )mlir";
    
      OwningOpRef<ModuleOp> module_op =
          ParseModuleOpString(kModuleXlaCallModuleOpWithDefaultQuantizationMethod);
      ASSERT_TRUE(module_op);
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 04 07:19:09 UTC 2024
    - 14.8K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/defer_activation_transpose.mlir

    func.func @add_with_activation_transpose(%arg0: tensor<1x3x3x4xf32>) -> tensor<1x4x3x3xf32> {
      %0 = stablehlo.constant dense<2.000000e+00> : tensor<1x4x3x3xf32>
      %1 = stablehlo.transpose %arg0, dims = [0, 3, 1, 2] : (tensor<1x3x3x4xf32>) -> tensor<1x4x3x3xf32>
      %2 = stablehlo.add %1, %0 : tensor<1x4x3x3xf32>
      return %2 : tensor<1x4x3x3xf32>
    }
    // CHECK-SAME: (%[[ARG_0:.+]]: tensor<1x3x3x4xf32>) -> tensor<1x4x3x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 18 20:32:46 UTC 2024
    - 14.6K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_default.mlir

    func.func @depth_to_space(%arg0: tensor<1x1x1x4xf32>) -> tensor<1x2x2x1xf32> {
      %0 = "tf.DepthToSpace"(%arg0) {block_size = 2: i64,  data_format = "NHWC"}: (tensor<1x1x1x4xf32>) -> tensor<1x2x2x1xf32>
      func.return %0 : tensor<1x2x2x1xf32>
    // CHECK: %[[CUSTOM_0:.*]] = "tfl.custom"(%arg0) <{custom_code = "FlexDepthToSpace", custom_option = #tfl<const_bytes : "{{.*}}">}> : (tensor<1x1x1x4xf32>) -> tensor<1x2x2x1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 13.4K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/lite/stablehlo/tests/composite-lowering.mlir

      return %2 : tensor<1x1x1x4xf32>
    }
    func.func private @XlaCallModule_aten.avg_pool2d.default.impl_2(%arg0: tensor<1x1x1x8xf32>) -> tensor<1x1x1x4xf32>
    
    // CHECK-LABEL: avg_pool2d_3
    // CHECK: %cst = arith.constant dense<[0, 2, 3, 1]> : tensor<4xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 18:45:51 UTC 2024
    - 32.6K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/lite/tests/optimize.mlir

      %2 = "tfl.select"(%cst_false, %arg0, %arg1) : (tensor<1x2x3x4xi1>, tensor<1x2x3x4xf32>, tensor<1x2x3x4xf32>) -> tensor<1x2x3x4xf32>
      %3 = "tfl.select_v2"(%cst_false, %arg0, %arg1) : (tensor<1x2x3x4xi1>, tensor<1x2x3x4xf32>, tensor<1x2x3x4xf32>) -> tensor<1x2x3x4xf32>
      func.return %0, %1, %2, %3 : tensor<1x2x3x4xf32>, tensor<1x2x3x4xf32>, tensor<1x2x3x4xf32>, tensor<1x2x3x4xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 284.1K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_layout_assignment_to_nchw.mlir

           } : (tensor<1x32x32x3xf32>, tensor<4xi32>, tensor<1x32x32x8xf32>)
             -> tensor<1x1x3x8xf32>
    
      func.return %0 : tensor<1x1x3x8xf32>
    }
    
    // CHECK-LABEL: func @transposeConv2DBackpropInput
    func.func @transposeConv2DBackpropInput(
      %input_sizes: tensor<4xi32>,
      %filter: tensor<1x1x3x8xf32>,
      %out_backprop: tensor<1x32x32x8xf32>
    ) -> tensor<1x32x32x3xf32> {
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 9K bytes
    - Viewed (0)
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