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Results 1 - 6 of 6 for 2x4x6x7xf32 (0.1 sec)
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tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
// CHECK-SAME: %arg0: tensor<2x4x4x1xf32>, // CHECK-SAME: %arg1: tensor<2x4x4x2xf32>) -> tensor<2x4x4x1xf32> attributes {tf._implements = "DenseImageWarp"} { // CHECK-NEXT: %0 = "tfl.custom"(%arg0, %arg1) <{custom_code = "DenseImageWarp", custom_option = #tfl<const_bytes : "0x">}> : (tensor<2x4x4x1xf32>, tensor<2x4x4x2xf32>) -> tensor<2x4x4x1xf32> // CHECK-NEXT: return %0 : tensor<2x4x4x1xf32> // CHECK-NEXT: } } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/push-tpose-through-ewise.mlir
// ----- // CHECK-LABEL: doubleTposeInputPermNotEqualNoChange func.func @doubleTposeInputPermNotEqualNoChange(%arg0: tensor<2x4x3x5xf32>, %arg1: tensor<2x3x4x5xf32>) -> tensor<5x2x3x4xf32> { %perm = arith.constant dense<[3, 0, 2, 1]> : tensor<4xi32> %0 = "tfl.transpose"(%arg0, %perm) : (tensor<2x4x3x5xf32>, tensor<4xi32>) -> tensor<5x2x3x4xf32> %perm1 = arith.constant dense<[3, 0, 1, 2]> : tensor<4xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 8.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
func.return %result : tensor<10x24x24x64xf32> } // CHECK-LABEL: @max_pool_grad_same func.func @max_pool_grad_same(%orig_input: tensor<2x13x25x7xf32>, %orig_output: tensor<2x4x7x7xf32>, %grad: tensor<2x4x7x7xf32>) -> tensor<2x13x25x7xf32> { // CHECK: padding = dense<{{\[\[}}0, 0], [0, 1], [1, 1], [0, 0]]> : tensor<4x2xi64> %result = "tf.MaxPoolGrad"(%orig_input, %orig_output, %grad) { data_format = "NHWC",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 38.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: }) : (tensor<5x4x3x7xf32>, tensor<2x2xi32>, tensor<2x5x3xf32>) -> tensor<5x4x3x7xf32> // CHECK: return %[[VAL_3]] : tensor<5x4x3x7xf32> // CHECK: } func.func @convert_scatter_update_to_non_trailing_operand_dimensions( %arg0: tensor<5x4x3x7xf32>, %arg1: tensor<2x2xi32>, %arg2: tensor<2x5x3xf32>) -> tensor<5x4x3x7xf32> { %0 = "mhlo.scatter"(%arg0, %arg1, %arg2) ({
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
%arg1: tensor<f32> ) -> tensor<2x4x3x3xf32> { %0 = "stablehlo.reduce_window"(%arg0, %arg1) ({ ^bb0(%arg2: tensor<f32>, %arg3: tensor<f32>): %1 = stablehlo.maximum %arg2, %arg3 : tensor<f32> stablehlo.return %1 : tensor<f32> }) {window_dimensions = array<i64: 1, 3, 4, 1>, window_strides = array<i64: 1, 2, 3, 1>} : (tensor<2x9x10x3xf32>, tensor<f32>) -> tensor<2x4x3x3xf32> return %0 : tensor<2x4x3x3xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0)