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Results 1 - 3 of 3 for 2x5x7x3xf32 (0.12 sec)
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tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
func.return %result : tensor<10x8x24x24x64xf32> } // ----- // 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: Mon May 06 18:46:23 UTC 2024 - 335.5K 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/tests/optimize.mlir
// CHECK: %0 = "tfl.conv_2d"(%arg0, %arg1, %cst) } // CHECK-LABEL: fuse4DAddIntoConv2d func.func @fuse4DAddIntoConv2d(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<2x3x3x3xf32>) -> tensor<256x32x32x2xf32> { %cst = arith.constant dense<[[[[1.0, 2.0]]]]> : tensor<1x1x1x2xf32> %cst_0 = arith.constant dense<[1.0, 2.0]> : tensor<2xf32> %0 = "tfl.conv_2d"(%arg0, %arg1, %cst_0) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0)